notebooks/tutorial_pfactor_classification.ipynb

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   "source": [
    "# EEGDash example for sex classification\n",
    "\n",
    "The code below provides an example of using the *EEGDash* library in combination with PyTorch to develop a deep learning model for detecting sex in a collection of 136 subjects.\n",
    "\n",
    "1. **Data Retrieval Using EEGDash**: An instance of *EEGDashDataset* is created to search and retrieve resting state data for 136 subjects (dataset ds005505). At this step, only the metadata is transferred.\n",
    "\n",
    "2. **Data Preprocessing Using BrainDecode**: This process preprocesses EEG data using Braindecode by selecting specific channels, resampling, filtering, and extracting 2-second epochs. This takes about 2 minutes.\n",
    "\n",
    "3. **Creating a train and testing sets**: The dataset is split into training (80%) and testing (20%) sets with balanced labels--making sure also that we have as many males as females--converted into PyTorch tensors, and wrapped in DataLoader objects for efficient mini-batch training.\n",
    "\n",
    "4. **Model Definition**: The model is a custom convolutional neural network with 24 input channels (EEG channels), 2 output classes (male and female).\n",
    "\n",
    "5. **Model Training and Evaluation Process**: This section trains the neural network, normalizes input data, computes cross-entropy loss, updates model parameters, and evaluates classification accuracy over six epochs. This takes less than 10 seconds to a couple of minutes, depending on the device you use.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Retrieval Using EEGDash\n",
    "\n",
    "First we find one resting state dataset for a collection of subject. The dataset ds005505 contains 136 subjects with both male and female participants."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "from eegdash import EEGDashDataset\n",
    "\n",
    "# ds_sexdata1 = EEGDashDataset({'dataset': 'ds005505', 'task': 'RestingState'}, target_name='sex')\n",
    "# ds_sexdata2 = EEGDashDataset({'dataset': 'ds005506', 'task': 'RestingState'}, target_name='sex')\n",
    "# ds_sexdata3 = EEGDashDataset({'dataset': 'ds005507', 'task': 'RestingState'}, target_name='sex')\n",
    "# ds_sexdata4 = EEGDashDataset({'dataset': 'ds005508', 'task': 'RestingState'}, target_name='sex')\n",
    "ds_sexdata = EEGDashDataset({'dataset': 'ds005510', 'task': 'RestingState'}, description_fields=['subject', 'session', 'run', 'task', 'age', 'gender', 'sex', 'p_factor'], target_name='p_factor') \n",
    "# ds_sexdata6 = EEGDashDataset({'dataset': 'ds005512', 'task': 'RestingState'}, target_name='sex') \n",
    "# ds_sexdata7 = EEGDashDataset({'dataset': 'ds005514', 'task': 'RestingState'}, target_name='sex') \n",
    "# ds_sexdata8 = EEGDashDataset({'dataset': 'ds005509', 'task': 'RestingState'}, target_name='sex') # fails\n",
    "\n",
    "# ds_sexdata = EEGDashDataset({'dataset': 'ds005511', 'task': 'RestingState'}, target_name='sex') # one dataset has 6 channels\n",
    "#import mne\n",
    "#raw = mne.io.read_raw_eeglab(input_fname='.eegdash_cache\\ds005509\\sub-NDARGX760NYV\\eeg\\sub-NDARGX760NYV_task-RestingState_eeg.set', preload=True, verbose=True)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from braindecode.datasets import BaseDataset, BaseConcatDataset\n",
    "res = ds_sexdata.description['p_factor'].isna()\n",
    "\n",
    "ds_sexdata2 = []\n",
    "for ds in ds_sexdata.datasets:\n",
    "    if not pd.isna(ds.description['p_factor']):\n",
    "        ds_sexdata2.append(ds)\n",
    "ds_sexdata2 = BaseConcatDataset(ds_sexdata2)\n",
    "\n",
    "res = ds_sexdata2.description['p_factor'].isna()\n",
    "any(res)\n",
    "\n",
    "ds_sexdata = ds_sexdata2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "# this likely does not work if the data is not already on disk\n",
    "from braindecode.datasets import BaseDataset, BaseConcatDataset\n",
    "\n",
    "ds_sexdata = []\n",
    "for ds in ds_sexdata1.datasets:\n",
    "    ds_sexdata.append(ds)\n",
    "for ds in ds_sexdata2.datasets:\n",
    "    ds_sexdata.append(ds)\n",
    "for ds in ds_sexdata3.datasets:\n",
    "    ds_sexdata.append(ds)\n",
    "for ds in ds_sexdata4.datasets:\n",
    "    ds_sexdata.append(ds)\n",
    "for ds in ds_sexdata5.datasets:\n",
    "    ds_sexdata.append(ds)\n",
    "for ds in ds_sexdata6.datasets:\n",
    "    ds_sexdata.append(ds)\n",
    "for ds in ds_sexdata7.datasets:\n",
    "    ds_sexdata.append(ds)\n",
    "for ds in ds_sexdata8.datasets:\n",
    "    ds_sexdata.append(ds)\n",
    "\n",
    "ds_sexdata = BaseConcatDataset(ds_sexdata)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Preprocessing Using Braindecode\n",
    "\n",
    "[BrainDecode](https://braindecode.org/stable/install/install.html) is a specialized library for preprocessing EEG and MEG data. \n",
    "\n",
    "We apply three preprocessing steps in Braindecode:\n",
    "1.\t**Selection** of 24 specific EEG channels from the original 128.\n",
    "2.\t**Resampling** the EEG data to a frequency of 128 Hz.\n",
    "3.\t**Filtering** the EEG signals to retain frequencies between 1 Hz and 55 Hz.\n",
    "\n",
    "When calling the **preprocess** function, the data is retrieved from the remote repository.\n",
    "\n",
    "Finally, we use **create_windows_from_events** to extract 2-second epochs from the data. These epochs serve as the dataset samples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
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   ],
   "source": [
    "vars(ds_sexdata.datasets[0])\n",
    "\n",
    "ds_sexdata.datasets[0].record['participant_tsv']['p_factor']\n",
    "\n",
    "p_factor = []\n",
    "for ds in ds_sexdata.datasets:\n",
    "    p_factor.append(ds.record['participant_tsv']['p_factor'])\n",
    "p_factor\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 66.7\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.166\n",
      "attention: 0.871\n",
      "internalizing: 1.085\n",
      "externalizing: -0.9309999999999999\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n"
     ]
    },
    {
     "ename": "AttributeError",
     "evalue": "'tuple' object has no attribute 'description'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[3], line 3\u001b[0m\n\u001b[0;32m      1\u001b[0m p_factor \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m      2\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m ds \u001b[38;5;129;01min\u001b[39;00m ds_sexdata:\n\u001b[1;32m----> 3\u001b[0m     p_factor\u001b[38;5;241m.\u001b[39mappend(\u001b[43mds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdescription\u001b[49m)\n",
      "\u001b[1;31mAttributeError\u001b[0m: 'tuple' object has no attribute 'description'"
     ]
    }
   ],
   "source": [
    "p_factor = []\n",
    "for ds in ds_sexdata:\n",
    "    p_factor.append(ds.description)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 46.69\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.555\n",
      "attention: 0.5660000000000001\n",
      "internalizing: 0.076\n",
      "externalizing: -0.7609999999999999\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: unavailable\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -1.401\n",
      "attention: 0.225\n",
      "internalizing: 0.214\n",
      "externalizing: -0.37\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: unavailable\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 80.04\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.156\n",
      "attention: 0.011000000000000001\n",
      "internalizing: -1.025\n",
      "externalizing: 0.009000000000000001\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 88.98\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.48\n",
      "attention: 0.581\n",
      "internalizing: 1.575\n",
      "externalizing: -1.379\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 34.48\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.41600000000000004\n",
      "attention: -1.199\n",
      "internalizing: -0.023\n",
      "externalizing: -0.005\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 64.5\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -1.063\n",
      "attention: -1.138\n",
      "internalizing: -0.7020000000000001\n",
      "externalizing: -0.816\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 86.71\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.20199999999999999\n",
      "attention: -0.155\n",
      "internalizing: 0.008\n",
      "externalizing: 1.188\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -6.67\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.556\n",
      "attention: -1.385\n",
      "internalizing: 1.4580000000000002\n",
      "externalizing: -0.956\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 65.63\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.26\n",
      "attention: 0.205\n",
      "internalizing: 0.93\n",
      "externalizing: -0.46\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 83.38\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.843\n",
      "attention: 0.486\n",
      "internalizing: -1.554\n",
      "externalizing: 0.031\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.855\n",
      "attention: -0.284\n",
      "internalizing: 0.955\n",
      "externalizing: -0.064\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 56.7\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.8859999999999999\n",
      "attention: 0.105\n",
      "internalizing: -0.031\n",
      "externalizing: -0.273\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.305\n",
      "attention: 1.2229999999999999\n",
      "internalizing: 0.561\n",
      "externalizing: 0.08199999999999999\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 68.97\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.9840000000000001\n",
      "attention: -0.38\n",
      "internalizing: -0.431\n",
      "externalizing: -0.275\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -61.16\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.099\n",
      "attention: 0.085\n",
      "internalizing: 1.528\n",
      "externalizing: -1.4\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.268\n",
      "attention: 0.838\n",
      "internalizing: 0.846\n",
      "externalizing: 0.184\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -1.4469999999999998\n",
      "attention: 0.25\n",
      "internalizing: -0.07\n",
      "externalizing: -0.47200000000000003\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -76.7\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.361\n",
      "attention: 0.779\n",
      "internalizing: -1.4080000000000001\n",
      "externalizing: 0.457\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 37.82\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.09\n",
      "attention: -0.486\n",
      "internalizing: -0.7\n",
      "externalizing: -0.39\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 20.01\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 2.492\n",
      "attention: -0.7\n",
      "internalizing: 0.217\n",
      "externalizing: 0.797\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.185\n",
      "attention: -0.183\n",
      "internalizing: -1.121\n",
      "externalizing: 0.48\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 80.04\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.34600000000000003\n",
      "attention: 0.18\n",
      "internalizing: 0.501\n",
      "externalizing: -0.742\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: unavailable\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 46.69\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.141\n",
      "attention: -0.297\n",
      "internalizing: 0.13\n",
      "externalizing: 0.418\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 33.35\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.119\n",
      "attention: 0.154\n",
      "internalizing: 0.024\n",
      "externalizing: 0.451\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: unavailable\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: unavailable\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 80.04\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.8540000000000001\n",
      "attention: -0.601\n",
      "internalizing: -0.523\n",
      "externalizing: 1.5630000000000002\n",
      "RestingState: caution\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 76.7\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.968\n",
      "attention: 1.4140000000000001\n",
      "internalizing: -0.121\n",
      "externalizing: -0.7859999999999999\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 26.68\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.774\n",
      "attention: 0.07400000000000001\n",
      "internalizing: -0.069\n",
      "externalizing: 0.386\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: unavailable\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 6.67\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.145\n",
      "attention: 0.43799999999999994\n",
      "internalizing: -0.081\n",
      "externalizing: 0.018000000000000002\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: unavailable\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: unavailable\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 53.36\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.765\n",
      "attention: 0.8690000000000001\n",
      "internalizing: -0.324\n",
      "externalizing: -0.055999999999999994\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 97.85\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.013999999999999999\n",
      "attention: 0.409\n",
      "internalizing: 0.596\n",
      "externalizing: -0.523\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: unavailable\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.992\n",
      "attention: 0.125\n",
      "internalizing: -0.245\n",
      "externalizing: 0.415\n",
      "RestingState: caution\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: unavailable\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 86.71\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.597\n",
      "attention: 0.53\n",
      "internalizing: -0.742\n",
      "externalizing: -0.10300000000000001\n",
      "RestingState: caution\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: unavailable\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: unavailable\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '6'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '6', '8'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (3) does not match the number of existing subdirectories (5). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '6', '7', '8'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '2', '6', '7', '8'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '2', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 3.33\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.829\n",
      "attention: -0.381\n",
      "internalizing: 0.47100000000000003\n",
      "externalizing: 0.138\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: caution\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '2', '30', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 80.04\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -1.595\n",
      "attention: 0.565\n",
      "internalizing: -0.934\n",
      "externalizing: -0.391\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: caution\n",
      "contrastChangeDetection_3: caution\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '17', '2', '30', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -1.827\n",
      "attention: -0.8079999999999999\n",
      "internalizing: 0.42100000000000004\n",
      "externalizing: -0.282\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 63.37\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -1.555\n",
      "attention: 0.382\n",
      "internalizing: -0.091\n",
      "externalizing: -0.41200000000000003\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 86.71\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.993\n",
      "attention: -0.782\n",
      "internalizing: 1.653\n",
      "externalizing: -0.10400000000000001\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: unavailable\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.177\n",
      "attention: 0.017\n",
      "internalizing: 0.8240000000000001\n",
      "externalizing: -0.564\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '17', '2', '30', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '17', '2', '24', '30', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '14', '17', '2', '24', '30', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 80.04\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -1.125\n",
      "attention: -1.109\n",
      "internalizing: 0.789\n",
      "externalizing: 0.001\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '14', '16', '17', '2', '24', '29', '30', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '14', '17', '2', '24', '29', '30', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '14', '16', '17', '18', '2', '24', '27', '29', '30', '31', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '14', '16', '17', '18', '2', '21', '24', '27', '29', '30', '31', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -26.68\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.758\n",
      "attention: 0.308\n",
      "internalizing: -0.555\n",
      "externalizing: -0.39799999999999996\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 80.04\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.02\n",
      "attention: -0.353\n",
      "internalizing: -0.259\n",
      "externalizing: -0.835\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (13) does not match the number of existing subdirectories (19). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '14', '16', '17', '18', '2', '21', '24', '26', '27', '29', '30', '31', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (4) does not match the number of existing subdirectories (20). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '12', '14', '16', '17', '18', '2', '21', '24', '26', '27', '29', '30', '31', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (6) does not match the number of existing subdirectories (21). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '12', '14', '16', '17', '18', '2', '21', '24', '26', '27', '29', '3', '30', '31', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 93.38\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.713\n",
      "attention: 0.633\n",
      "internalizing: -1.286\n",
      "externalizing: 0.013999999999999999\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (16) does not match the number of existing subdirectories (23). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '14', '16', '17', '18', '2', '21', '24', '26', '27', '29', '3', '30', '31', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 86.71\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.255\n",
      "attention: -0.631\n",
      "internalizing: 0.08800000000000001\n",
      "externalizing: 0.33\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (14) does not match the number of existing subdirectories (24). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '14', '15', '16', '17', '18', '2', '21', '24', '26', '27', '29', '3', '30', '31', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (12) does not match the number of existing subdirectories (22). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '12', '14', '16', '17', '18', '2', '21', '24', '26', '27', '29', '3', '30', '31', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 0.0\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.305\n",
      "attention: 0.845\n",
      "internalizing: -0.048\n",
      "externalizing: -0.19899999999999998\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 86.71\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.39799999999999996\n",
      "attention: 0.002\n",
      "internalizing: -0.29\n",
      "externalizing: -1.189\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '2', '21', '24', '26', '27', '29', '3', '30', '31', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.802\n",
      "attention: 0.88\n",
      "internalizing: -0.44299999999999995\n",
      "externalizing: 0.58\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: available\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (5) does not match the number of existing subdirectories (26). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '2', '21', '24', '26', '27', '29', '3', '30', '31', '32', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 73.37\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.375\n",
      "attention: -0.8\n",
      "internalizing: -0.542\n",
      "externalizing: -0.12300000000000001\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 80.04\n",
      "commercial_use: Yes\n",
      "full_pheno: No\n",
      "p_factor: 0.364\n",
      "attention: -0.23399999999999999\n",
      "internalizing: 0.7\n",
      "externalizing: 0.034\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (26) does not match the number of existing subdirectories (27). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '2', '21', '24', '26', '27', '29', '3', '30', '31', '32', '4', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: No\n",
      "p_factor: 1.11\n",
      "attention: 1.594\n",
      "internalizing: -0.201\n",
      "externalizing: 0.319\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: available\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -46.69\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.9740000000000001\n",
      "attention: 0.581\n",
      "internalizing: -1.1740000000000002\n",
      "externalizing: 0.855\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 93.38\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.292\n",
      "attention: -0.804\n",
      "internalizing: 0.14800000000000002\n",
      "externalizing: -0.07200000000000001\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 80.04\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.5920000000000001\n",
      "attention: 0.309\n",
      "internalizing: 0.004\n",
      "externalizing: 0.242\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 91.18\n",
      "commercial_use: Yes\n",
      "full_pheno: No\n",
      "p_factor: 1.273\n",
      "attention: 0.633\n",
      "internalizing: 1.784\n",
      "externalizing: -0.151\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 93.38\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.16399999999999998\n",
      "attention: -1.057\n",
      "internalizing: -0.221\n",
      "externalizing: 0.20800000000000002\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: caution\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -66.7\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.08199999999999999\n",
      "attention: 0.366\n",
      "internalizing: 0.125\n",
      "externalizing: -0.645\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 73.37\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.203\n",
      "attention: -0.496\n",
      "internalizing: -1.025\n",
      "externalizing: 0.7340000000000001\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (21) does not match the number of existing subdirectories (29). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '2', '21', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '4', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '2', '21', '24', '25', '26', '27', '29', '3', '30', '31', '32', '4', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (24) does not match the number of existing subdirectories (30). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '2', '20', '21', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '4', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (23) does not match the number of existing subdirectories (31). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '2', '20', '21', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '4', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (20) does not match the number of existing subdirectories (31). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.13\n",
      "attention: 0.13\n",
      "internalizing: 0.332\n",
      "externalizing: 1.669\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 86.71\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.374\n",
      "attention: 1.018\n",
      "internalizing: -0.13\n",
      "externalizing: 0.882\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 40.02\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.287\n",
      "attention: 1.3840000000000001\n",
      "internalizing: 0.252\n",
      "externalizing: 0.278\n",
      "RestingState: caution\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.863\n",
      "attention: 1.088\n",
      "internalizing: 0.508\n",
      "externalizing: -0.863\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: caution\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 93.38\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.841\n",
      "attention: -0.055999999999999994\n",
      "internalizing: 0.6829999999999999\n",
      "externalizing: -0.778\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.5710000000000001\n",
      "attention: 0.975\n",
      "internalizing: 0.762\n",
      "externalizing: 0.016\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '4', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -1.216\n",
      "attention: 0.165\n",
      "internalizing: 0.359\n",
      "externalizing: -0.614\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '34', '4', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '4', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '4', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -23.34\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -1.235\n",
      "attention: 0.13699999999999998\n",
      "internalizing: 0.741\n",
      "externalizing: -0.602\n",
      "RestingState: caution\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (37) does not match the number of existing subdirectories (38). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '37', '38', '4', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '4', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.725\n",
      "attention: 0.48700000000000004\n",
      "internalizing: 1.834\n",
      "externalizing: -0.966\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 0.0\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.1\n",
      "attention: -1.1420000000000001\n",
      "internalizing: -0.16699999999999998\n",
      "externalizing: -0.7390000000000001\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 86.71\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.111\n",
      "attention: 0.318\n",
      "internalizing: 1.014\n",
      "externalizing: 0.128\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.187\n",
      "attention: 0.499\n",
      "internalizing: 2.369\n",
      "externalizing: -0.851\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.999\n",
      "attention: -1.205\n",
      "internalizing: 1.1179999999999999\n",
      "externalizing: -0.629\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '42', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -40.02\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -1.3869999999999998\n",
      "attention: 1.114\n",
      "internalizing: 0.652\n",
      "externalizing: -0.508\n",
      "RestingState: caution\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 80.04\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.6970000000000001\n",
      "attention: -0.205\n",
      "internalizing: 0.711\n",
      "externalizing: 0.262\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '42', '44', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '42', '44', '45', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 80.04\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -1.909\n",
      "attention: -0.775\n",
      "internalizing: -0.826\n",
      "externalizing: -0.249\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '42', '44', '45', '47', '5', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '42', '44', '45', '46', '47', '5', '50', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '42', '44', '45', '47', '5', '50', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 86.71\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.506\n",
      "attention: -0.489\n",
      "internalizing: -1.358\n",
      "externalizing: 0.858\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: unavailable\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -50.02\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.075\n",
      "attention: -0.6459999999999999\n",
      "internalizing: 0.324\n",
      "externalizing: -0.336\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '42', '44', '45', '46', '47', '5', '50', '52', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '42', '44', '45', '46', '47', '5', '50', '52', '53', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '42', '44', '45', '46', '47', '49', '5', '50', '52', '53', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 86.71\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.826\n",
      "attention: 0.131\n",
      "internalizing: 0.151\n",
      "externalizing: 0.758\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 73.37\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.794\n",
      "attention: -0.654\n",
      "internalizing: 0.16\n",
      "externalizing: 1.5\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (49) does not match the number of existing subdirectories (51). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '42', '44', '45', '46', '47', '49', '5', '50', '52', '53', '55', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: n/a\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.314\n",
      "attention: 1.535\n",
      "internalizing: 0.287\n",
      "externalizing: -0.831\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '42', '44', '45', '46', '47', '48', '49', '5', '50', '52', '53', '55', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 86.71\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.8029999999999999\n",
      "attention: 0.11800000000000001\n",
      "internalizing: 1.043\n",
      "externalizing: 0.65\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -1.15\n",
      "attention: 1.3219999999999998\n",
      "internalizing: 0.44799999999999995\n",
      "externalizing: -0.659\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 81.17\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.615\n",
      "attention: -0.418\n",
      "internalizing: -1.047\n",
      "externalizing: -0.608\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (44) does not match the number of existing subdirectories (53). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '42', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '55', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 64.5\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.88\n",
      "attention: 0.184\n",
      "internalizing: -0.542\n",
      "externalizing: -0.344\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (42) does not match the number of existing subdirectories (53). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '55', '59', '6', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 86.71\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.013999999999999999\n",
      "attention: 0.115\n",
      "internalizing: -0.7140000000000001\n",
      "externalizing: 0.113\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: unavailable\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '55', '57', '59', '6', '61', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '55', '57', '59', '6', '61', '62', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '55', '59', '6', '61', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 96.72\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -1.266\n",
      "attention: -0.09300000000000001\n",
      "internalizing: -1.056\n",
      "externalizing: -0.057\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 77.84\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.9420000000000001\n",
      "attention: -1.854\n",
      "internalizing: -0.035\n",
      "externalizing: 0.38\n",
      "RestingState: caution\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 60.03\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.366\n",
      "attention: 1.0290000000000001\n",
      "internalizing: -0.461\n",
      "externalizing: 0.14400000000000002\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '55', '57', '59', '6', '61', '62', '63', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 60.03\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.14800000000000002\n",
      "attention: 0.027999999999999997\n",
      "internalizing: -0.6990000000000001\n",
      "externalizing: 0.017\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 83.38\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.562\n",
      "attention: -0.318\n",
      "internalizing: -1.3530000000000002\n",
      "externalizing: -0.026000000000000002\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (55) does not match the number of existing subdirectories (61). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '55', '57', '59', '6', '60', '61', '62', '63', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 86.71\n",
      "commercial_use: Yes\n",
      "full_pheno: No\n",
      "p_factor: 0.077\n",
      "attention: -1.528\n",
      "internalizing: -0.975\n",
      "externalizing: 0.07400000000000001\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (57) does not match the number of existing subdirectories (62). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '57', '59', '6', '60', '61', '62', '63', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 45.62\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.344\n",
      "attention: -0.46299999999999997\n",
      "internalizing: 0.8440000000000001\n",
      "externalizing: 1.3319999999999999\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '59', '6', '60', '61', '62', '63', '65', '66', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 20.01\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.655\n",
      "attention: 0.762\n",
      "internalizing: -0.937\n",
      "externalizing: 0.141\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 74.5\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.40299999999999997\n",
      "attention: 0.9079999999999999\n",
      "internalizing: -0.172\n",
      "externalizing: 0.09\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '59', '6', '60', '61', '62', '63', '65', '66', '69', '7', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 26.68\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -1.045\n",
      "attention: -1.146\n",
      "internalizing: -0.529\n",
      "externalizing: 0.402\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.039\n",
      "attention: 0.546\n",
      "internalizing: -0.713\n",
      "externalizing: 1.44\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: n/a\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.48700000000000004\n",
      "attention: 0.8690000000000001\n",
      "internalizing: 1.161\n",
      "externalizing: 0.659\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -73.37\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.275\n",
      "attention: 0.31\n",
      "internalizing: 0.381\n",
      "externalizing: -0.22699999999999998\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 36.69\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.7979999999999999\n",
      "attention: 0.853\n",
      "internalizing: 0.594\n",
      "externalizing: -0.165\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '59', '6', '60', '61', '62', '63', '65', '66', '69', '7', '70', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 90.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.201\n",
      "attention: -0.086\n",
      "internalizing: 0.075\n",
      "externalizing: -0.20600000000000002\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '65', '66', '68', '69', '7', '70', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 93.38\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.527\n",
      "attention: -1.078\n",
      "internalizing: 0.649\n",
      "externalizing: 0.799\n",
      "RestingState: caution\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '65', '66', '68', '69', '7', '70', '73', '74', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (59) does not match the number of existing subdirectories (68). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '59', '6', '60', '61', '62', '63', '65', '66', '68', '69', '7', '70', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 73.37\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.085\n",
      "attention: 1.4980000000000002\n",
      "internalizing: -0.452\n",
      "externalizing: 0.22699999999999998\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -22.21\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.467\n",
      "attention: -0.871\n",
      "internalizing: 2.363\n",
      "externalizing: -1.464\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -55.69\n",
      "commercial_use: Yes\n",
      "full_pheno: No\n",
      "p_factor: 0.792\n",
      "attention: 0.67\n",
      "internalizing: 0.23800000000000002\n",
      "externalizing: 1.864\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: unavailable\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '65', '66', '68', '69', '7', '70', '72', '73', '74', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '65', '66', '67', '68', '69', '7', '70', '72', '73', '74', '78', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.534\n",
      "attention: -0.092\n",
      "internalizing: -0.386\n",
      "externalizing: 0.16\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -86.71\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.062\n",
      "attention: -0.603\n",
      "internalizing: 0.9359999999999999\n",
      "externalizing: -0.41200000000000003\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (68) does not match the number of existing subdirectories (73). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '65', '66', '68', '69', '7', '70', '72', '73', '74', '78', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '65', '66', '67', '68', '69', '7', '70', '72', '73', '74', '78', '79', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (72) does not match the number of existing subdirectories (76). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '65', '66', '67', '68', '69', '7', '70', '72', '73', '74', '75', '78', '79', '8', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '78', '79', '8', '82', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 20.01\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.185\n",
      "attention: 0.429\n",
      "internalizing: 1.3519999999999999\n",
      "externalizing: 0.145\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (65) does not match the number of existing subdirectories (79). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '78', '79', '8', '82', '84', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 58.9\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.698\n",
      "attention: -0.413\n",
      "internalizing: 0.09\n",
      "externalizing: -0.395\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 53.36\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.899\n",
      "attention: 0.46299999999999997\n",
      "internalizing: -0.544\n",
      "externalizing: -0.387\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '78', '79', '8', '82', '83', '84', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '78', '79', '8', '82', '83', '84', '85', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '78', '79', '8', '82', '84', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 23.34\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.5930000000000002\n",
      "attention: 1.369\n",
      "internalizing: -0.7070000000000001\n",
      "externalizing: 0.765\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -40.02\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.114\n",
      "attention: -0.52\n",
      "internalizing: 0.505\n",
      "externalizing: -0.10400000000000001\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '78', '79', '8', '82', '83', '84', '85', '87', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 80.04\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.575\n",
      "attention: 0.401\n",
      "internalizing: -0.462\n",
      "externalizing: 1.044\n",
      "RestingState: caution\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '78', '79', '8', '82', '83', '84', '85', '86', '87', '89', '9'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 2.635\n",
      "attention: 0.36700000000000005\n",
      "internalizing: -1.037\n",
      "externalizing: 0.33399999999999996\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (77) does not match the number of existing subdirectories (86). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '78', '79', '8', '82', '83', '84', '85', '86', '87', '89', '9', '90'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 16.68\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.285\n",
      "attention: 0.945\n",
      "internalizing: 0.27899999999999997\n",
      "externalizing: -1.452\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (81) does not match the number of existing subdirectories (88). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '78', '79', '8', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.52\n",
      "attention: 0.161\n",
      "internalizing: 0.45899999999999996\n",
      "externalizing: 0.836\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (82) does not match the number of existing subdirectories (89). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '78', '79', '8', '80', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 33.35\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.81\n",
      "attention: -0.179\n",
      "internalizing: -0.917\n",
      "externalizing: 0.38299999999999995\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (78) does not match the number of existing subdirectories (90). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -1.169\n",
      "attention: 1.284\n",
      "internalizing: -0.643\n",
      "externalizing: -0.645\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 2.2\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.309\n",
      "attention: 0.354\n",
      "internalizing: 0.505\n",
      "externalizing: -0.415\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 50.02\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.47100000000000003\n",
      "attention: 0.562\n",
      "internalizing: -0.12300000000000001\n",
      "externalizing: -0.71\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 33.35\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.015\n",
      "attention: -0.092\n",
      "internalizing: -0.8959999999999999\n",
      "externalizing: 0.561\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 86.71\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.342\n",
      "attention: -0.157\n",
      "internalizing: -0.41200000000000003\n",
      "externalizing: -0.406\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 94.51\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.169\n",
      "attention: -1.014\n",
      "internalizing: -0.541\n",
      "externalizing: 0.603\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '95'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '93', '95'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '92', '93', '95'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -60.03\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.584\n",
      "attention: 1.101\n",
      "internalizing: -1.131\n",
      "externalizing: 1.499\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: unavailable\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 95.65\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.895\n",
      "attention: -0.877\n",
      "internalizing: -0.551\n",
      "externalizing: 0.485\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -73.37\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.016\n",
      "attention: -0.292\n",
      "internalizing: -0.251\n",
      "externalizing: 0.551\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 46.69\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.436\n",
      "attention: 0.718\n",
      "internalizing: -1.412\n",
      "externalizing: 0.107\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: unavailable\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 83.38\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.051\n",
      "attention: 0.0\n",
      "internalizing: -0.473\n",
      "externalizing: 0.767\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 83.38\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.574\n",
      "attention: -0.596\n",
      "internalizing: -0.248\n",
      "externalizing: -0.5760000000000001\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: -46.69\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 1.0\n",
      "attention: -0.9359999999999999\n",
      "internalizing: -0.695\n",
      "externalizing: 0.743\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: available\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (92) does not match the number of existing subdirectories (95). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '92', '93', '95', '96'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '95', '96'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 66.7\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -1.005\n",
      "attention: 1.248\n",
      "internalizing: -1.161\n",
      "externalizing: 1.6769999999999998\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '105', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '104', '105', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '104', '105', '108', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (95) does not match the number of existing subdirectories (98). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '95', '96', '97', '98'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Data will be preloaded. preload=False or a string preload is not supported when the data is stored in the .set file\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (100) does not match the number of existing subdirectories (103). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '104', '105', '108', '109', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (101) does not match the number of existing subdirectories (104). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '104', '105', '108', '109', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (102) does not match the number of existing subdirectories (105). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '104', '105', '108', '109', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '104', '105', '108', '109', '11', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: 0.94\n",
      "attention: -0.637\n",
      "internalizing: -0.349\n",
      "externalizing: 1.055\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: available\n",
      "seqLearning8target: unavailable\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: The data contains 'boundary' events, indicating data discontinuities. Be cautious of filtering and epoching around these events.\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (104) does not match the number of existing subdirectories (107). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '104', '105', '108', '109', '11', '111', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (103) does not match the number of existing subdirectories (108). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '103', '104', '105', '108', '109', '11', '111', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 73.37\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.723\n",
      "attention: -0.56\n",
      "internalizing: 1.465\n",
      "externalizing: -1.043\n",
      "RestingState: available\n",
      "DespicableMe: unavailable\n",
      "FunwithFractals: unavailable\n",
      "ThePresent: unavailable\n",
      "DiaryOfAWimpyKid: unavailable\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: unavailable\n",
      "contrastChangeDetection_3: unavailable\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: unavailable\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: available\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "D:\\EEG-Dash-Data\\src\\eegdash\\data_utils.py:83: RuntimeWarning: Unable to map the following column(s) to to MNE:\n",
      "release_number: R6\n",
      "ehq_total: 100.05\n",
      "commercial_use: Yes\n",
      "full_pheno: Yes\n",
      "p_factor: -0.149\n",
      "attention: -0.5720000000000001\n",
      "internalizing: -0.42200000000000004\n",
      "externalizing: -0.852\n",
      "RestingState: available\n",
      "DespicableMe: available\n",
      "FunwithFractals: available\n",
      "ThePresent: available\n",
      "DiaryOfAWimpyKid: available\n",
      "contrastChangeDetection_1: unavailable\n",
      "contrastChangeDetection_2: available\n",
      "contrastChangeDetection_3: available\n",
      "surroundSupp_1: available\n",
      "surroundSupp_2: available\n",
      "seqLearning6target: unavailable\n",
      "seqLearning8target: available\n",
      "symbolSearch: caution\n",
      "  self._raw = mne_bids.read_raw_bids(self.bidspath, verbose=False)\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '108', '109', '11', '111', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '108', '109', '11', '111', '113', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (107) does not match the number of existing subdirectories (111). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '108', '109', '11', '111', '112', '113', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (111) does not match the number of existing subdirectories (113). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '106', '108', '109', '11', '111', '112', '113', '114', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '106', '108', '109', '11', '110', '111', '112', '113', '114', '12', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '11', '110', '111', '112', '113', '114', '12', '120', '121', '123', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '106', '108', '109', '11', '110', '111', '112', '113', '114', '12', '120', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (108) does not match the number of existing subdirectories (115). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '11', '110', '111', '112', '113', '114', '12', '120', '121', '123', '125', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (116) does not match the number of existing subdirectories (120). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '11', '110', '111', '112', '113', '114', '12', '120', '121', '122', '123', '125', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (118) does not match the number of existing subdirectories (120). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (120) does not match the number of existing subdirectories (122). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '11', '110', '111', '112', '113', '114', '115', '117', '12', '120', '121', '122', '123', '125', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (119) does not match the number of existing subdirectories (123). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '11', '110', '111', '112', '113', '114', '115', '117', '119', '12', '120', '121', '122', '123', '125', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (117) does not match the number of existing subdirectories (124). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '11', '110', '111', '112', '113', '114', '115', '117', '118', '119', '12', '120', '121', '122', '123', '125', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '11', '110', '111', '112', '113', '114', '115', '116', '117', '118', '119', '12', '120', '121', '122', '123', '125', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '11', '110', '111', '112', '113', '114', '115', '116', '117', '118', '119', '12', '120', '121', '122', '123', '124', '125', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '11', '110', '111', '112', '113', '114', '115', '116', '117', '118', '119', '12', '120', '121', '122', '123', '124', '125', '126', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '11', '110', '111', '112', '113', '114', '115', '116', '117', '118', '119', '12', '120', '121', '122', '123', '124', '125', '126', '127', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '11', '110', '111', '112', '113', '114', '115', '116', '117', '118', '119', '12', '120', '121', '122', '123', '124', '125', '126', '127', '129', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory ./tmpdata contains other subdirectories or files ['0', '1', '10', '100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '11', '110', '111', '112', '113', '114', '115', '116', '117', '118', '119', '12', '120', '121', '122', '123', '124', '125', '126', '127', '128', '129', '13', '14', '15', '16', '17', '18', '19', '2', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '3', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '4', '40', '41', '42', '43', '44', '45', '46', '47', '48', '49', '5', '50', '51', '52', '53', '54', '55', '56', '57', '58', '59', '6', '60', '61', '62', '63', '64', '65', '66', '67', '68', '69', '7', '70', '71', '72', '73', '74', '75', '76', '77', '78', '79', '8', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89', '9', '90', '91', '92', '93', '94', '95', '96', '97', '98', '99'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<braindecode.datasets.base.BaseConcatDataset at 0x296b678c150>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from braindecode.preprocessing import (preprocess, Preprocessor, create_fixed_length_windows)\n",
    "import os\n",
    "import shutil\n",
    "\n",
    "# Alternatively, if you want to include this as a preprocessing step in a Braindecode pipeline:\n",
    "#    Preprocessor('pick_channels', ch_names=['E22', 'E9', 'E33', 'E24', 'E11', 'E124', 'E122', 'E29', 'E6', 'E111', 'E45', 'E36', 'E104', 'E108', 'E42', 'E55', 'E93', 'E58', 'E52', 'E62', 'E92', 'E96', 'E70', 'Cz']),\n",
    "preprocessors = [\n",
    "    Preprocessor(\"resample\", sfreq=256),\n",
    "    Preprocessor(\"filter\", l_freq=1, h_freq=55)\n",
    "]\n",
    "\n",
    "for ds in ds_sexdata.datasets:\n",
    "    ds.target_name = \"p_factor\"\n",
    "    \n",
    "#    shutil.rmtree('./tmpdata')\n",
    "preprocess(ds_sexdata, preprocessors, n_jobs=-1, save_dir='./tmpdata', overwrite=True) #, save_dir='xxxx'' will save and set preload to false\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:700: UserWarning: The number of saved datasets (131) does not match the number of existing subdirectories (1419). You may now encounter a mix of differently preprocessed datasets!\n",
      "  warnings.warn(f\"The number of saved datasets ({i_ds+1+offset}) \"\n",
      "c:\\Users\\adelorme\\AppData\\Local\\anaconda3\\envs\\gpu-test\\Lib\\site-packages\\braindecode\\datasets\\base.py:708: UserWarning: Chosen directory data/hbn_preprocessed_restingstate_256 contains other subdirectories or files ['1000', '1001', '1002', '1003', '1004', '1005', '1006', '1007', '1008', '1009', '1010', '1011', '1012', '1013', '1014', '1015', '1016', '1017', '1018', '1019', '1020', '1021', '1022', '1023', '1024', '1025', '1026', '1027', '1028', '1029', '1030', '1031', '1032', '1033', '1034', '1035', '1036', '1037', '1038', '1039', '1040', '1041', '1042', '1043', '1044', '1045', '1046', '1047', '1048', '1049', '1050', '1051', '1052', '1053', '1054', '1055', '1056', '1057', '1058', '1059', '1060', '1061', '1062', '1063', '1064', '1065', '1066', '1067', '1068', '1069', '1070', '1071', '1072', '1073', '1074', '1075', '1076', '1077', '1078', '1079', '1080', '1081', '1082', '1083', '1084', '1085', '1086', '1087', '1088', '1089', '1090', '1091', '1092', '1093', '1094', 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'903', '904', '905', '906', '907', '908', '909', '910', '911', '912', '913', '914', '915', '916', '917', '918', '919', '920', '921', '922', '923', '924', '925', '926', '927', '928', '929', '930', '931', '932', '933', '934', '935', '936', '937', '938', '939', '940', '941', '942', '943', '944', '945', '946', '947', '948', '949', '950', '951', '952', '953', '954', '955', '956', '957', '958', '959', '960', '961', '962', '963', '964', '965', '966', '967', '968', '969', '970', '971', '972', '973', '974', '975', '976', '977', '978', '979', '980', '981', '982', '983', '984', '985', '986', '987', '988', '989', '990', '991', '992', '993', '994', '995', '996', '997', '998', '999'].\n",
      "  warnings.warn(f'Chosen directory {path} contains other '\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# extract windows and save to disk\n",
    "windows_ds = create_fixed_length_windows(ds_sexdata, start_offset_samples=0, stop_offset_samples=None,\n",
    "        window_size_samples=256, window_stride_samples=256, drop_last_window=True, preload=False) \n",
    "os.makedirs('data/hbn_preprocessed_restingstate', exist_ok=True)\n",
    "\n",
    "windows_ds.save('data/hbn_preprocessed_restingstate_256', overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "131"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(windows_ds.datasets)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting a Single Channel for One Sample\n",
    "\n",
    "It’s always a good practice to verify that the data has been properly loaded and processed. Here, we plot a single channel from one sample to ensure the signal is present and looks as expected."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.figure()\n",
    "plt.plot(windows_ds[1000][0][0,:].transpose()) # first channel of first epoch\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load pre-saved data\n",
    "\n",
    "If you have run the previous steps before, the data should be saved and may be reloaded here. If you are simply running this notebook for the first time, there is no need to reload the data, and this step may be skipped. However, it is quick, so you might as well execute the cell; it will have no consequences and will allow you to check that the data was saved properly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading data from disk\n"
     ]
    }
   ],
   "source": [
    "from braindecode.datautil import load_concat_dataset\n",
    "\n",
    "print(\"Loading data from disk\")\n",
    "windows_ds = load_concat_dataset(path='data/hbn_preprocessed_restingstate_256', preload=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(129, 256)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "windows_ds[1000][0].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating a Training and Test Set\n",
    "\n",
    "The code below creates a training and test set. We first split the data using the **train_test_split** function and then create a **TensorDataset** for both sets.\n",
    "\n",
    "1. **Set Random Seed** – The random seed is fixed using `torch.manual_seed(random_state)` to ensure reproducibility in dataset splitting and model training.\n",
    "2. **Get Balanced Indices for Male and Female Subjects** – We ensure a 50/50 split of male and female subjects in both the training and test sets. Additionally, we prevent subject leakage, meaning the same subjects do not appear in both sets. The dataset is split into training (90%) and testing (10%) subsets using `train_test_split()`, ensuring balanced stratification based on gender.\n",
    "3. **Convert Data to PyTorch Tensors** – The selected training and testing samples are converted into `FloatTensor` for input features and `LongTensor` for labels, making them compatible with PyTorch models.\n",
    "4. **Create DataLoaders** – The datasets are wrapped in PyTorch `DataLoader` objects with a batch size of 100, allowing efficient mini-batch training and shuffling. Although there are only 136 subjects, the dataset contains more than 10,000 2-second samples.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of subjects in balanced dataset: 96\n",
      "Gender distribution in balanced dataset: (array(['F', 'M'], dtype='<U1'), array([48, 48], dtype=int64))\n"
     ]
    }
   ],
   "source": [
    "from braindecode.datasets import BaseDataset, BaseConcatDataset\n",
    "from sklearn.model_selection import train_test_split\n",
    "from torch.utils.data import DataLoader\n",
    "import numpy as np\n",
    "import torch\n",
    "\n",
    "# random seed for reproducibility\n",
    "random_state = 0\n",
    "np.random.seed(random_state)\n",
    "torch.manual_seed(random_state)\n",
    "\n",
    "# Get balanced indices for male and female subjects and create a balanced dataset\n",
    "male_subjects   = windows_ds.description['subject'][windows_ds.description['sex'] == 'M']\n",
    "female_subjects = windows_ds.description['subject'][windows_ds.description['sex'] == 'F']\n",
    "n_samples = min(len(male_subjects), len(female_subjects))\n",
    "balanced_subjects = np.concatenate([male_subjects[:n_samples], female_subjects[:n_samples]])\n",
    "balanced_gender = ['M'] * n_samples + ['F'] * n_samples\n",
    "train_subj, val_subj, train_gender, val_gender = train_test_split(balanced_subjects, balanced_gender, train_size=0.9, stratify=balanced_gender, random_state=random_state)\n",
    "\n",
    "# Create datasets\n",
    "train_ds = BaseConcatDataset([ds for ds in windows_ds.datasets if ds.description.subject in train_subj])\n",
    "val_ds = BaseConcatDataset([ds for ds in windows_ds.datasets if ds.description.subject in val_subj])\n",
    "\n",
    "# Create dataloaders\n",
    "train_loader = DataLoader(train_ds, batch_size=250, shuffle=True)\n",
    "val_loader =  DataLoader(val_ds, batch_size=250, shuffle=True)\n",
    "\n",
    "# Check the balance of the dataset\n",
    "assert len(balanced_subjects) == len(balanced_gender)\n",
    "print(f\"Number of subjects in balanced dataset: {len(balanced_subjects)}\")\n",
    "print(f\"Gender distribution in balanced dataset: {np.unique(balanced_gender, return_counts=True)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Check labels\n",
    "\n",
    "It is good practice to verify the labels and ensure the random seed is functioning correctly. If all labels are 'M' (male) or 'F' (female), it could indicate an issue with data loading or stratification, requiring further investigation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.187,  0.082,  0.854, -1.401, -0.826, -0.863, -0.287, -0.145,\n",
       "        0.81 ,  2.492,  1.156, -0.723,  0.366, -0.202,  1.273, -0.346,\n",
       "        2.492,  0.765,  1.085,  0.075,  1.141,  0.375,  1.119,  0.203,\n",
       "        0.014, -0.899, -0.275,  0.81 , -0.255, -1.216,  0.014, -0.826,\n",
       "       -1.125, -0.527,  0.014, -1.125, -1.827,  1.992, -1.827,  0.075,\n",
       "        0.26 , -0.398,  1.506,  1.119,  0.765, -0.527, -1.235, -1.595,\n",
       "       -0.698,  0.854,  0.203, -0.02 , -1.447,  0.843,  0.81 ,  0.309,\n",
       "       -1.235, -0.855,  0.344,  0.014, -0.698, -0.416, -0.149, -0.145,\n",
       "        0.765, -0.149,  0.366,  0.361, -0.698,  1.597,  0.305, -0.615,\n",
       "        0.697, -1.387, -0.841, -0.723, -0.698,  1.992,  1.48 ,  1.597,\n",
       "       -0.255, -0.13 , -1.387,  1.119,  0.984, -0.974, -0.02 ,  0.014,\n",
       "       -0.899,  0.26 , -0.863, -0.275, -0.416, -0.974, -1.447, -1.063,\n",
       "        0.774,  1.1  ,  0.082,  1.273, -0.13 ,  2.492,  0.364, -0.164,\n",
       "       -1.909,  1.597,  1.506, -0.255,  0.309, -1.447,  0.305, -0.111,\n",
       "       -0.255,  1.48 ,  0.268, -1.387,  1.11 ,  1.48 ,  0.075, -0.185,\n",
       "       -1.216,  1.506, -1.387, -0.202, -0.974,  1.506,  0.26 ,  0.014,\n",
       "        0.344, -1.235, -0.826,  0.305,  0.697,  0.886, -1.827, -0.723,\n",
       "       -1.909,  1.829, -0.149, -0.527, -0.287,  1.52 , -0.287, -0.725,\n",
       "       -0.725, -0.416,  0.774,  0.697, -0.968, -1.401, -1.827,  0.26 ,\n",
       "        0.075,  1.992, -1.125,  0.268,  0.843,  0.758,  0.075, -0.145,\n",
       "        0.014, -0.723, -0.725, -1.125, -1.909,  0.305, -1.387, -0.13 ,\n",
       "        0.09 ,  0.364,  0.099, -0.968, -1.595,  0.467, -0.149,  0.361,\n",
       "       -1.555,  0.305, -0.185, -0.826,  0.765,  0.843,  0.309,  0.305,\n",
       "       -0.145,  1.999, -0.592,  1.597, -0.841,  0.843,  0.758, -0.398,\n",
       "        0.344,  1.085, -0.725, -0.292,  1.273, -0.974, -0.855, -0.255,\n",
       "       -0.416, -0.826,  0.203,  0.854,  0.203, -1.387,  0.099,  0.082,\n",
       "        0.758,  0.366, -1.235,  0.81 ,  0.203,  0.014,  1.015, -0.592,\n",
       "       -0.287, -0.863, -0.164,  0.697, -0.164,  1.597,  1.597,  1.829,\n",
       "        0.81 , -1.125,  1.52 , -1.063, -0.164,  1.1  ,  1.829, -1.063,\n",
       "        0.361, -0.725,  1.11 ,  0.305,  0.571, -1.827, -0.615,  0.984,\n",
       "        0.187,  0.993,  0.366, -1.555, -1.216,  0.375,  0.361,  0.099,\n",
       "       -0.149,  1.1  ])"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the first batch to check the labels\n",
    "dataiter = iter(train_loader)\n",
    "first_item, label, sz = dataiter.__next__()\n",
    "np.array(label).T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create model\n",
    "\n",
    "The model is a custom convolutional neural network with 24 input channels (EEG channels), 2 output classes (male vs. female), and an input window size of 256 samples (2 seconds of EEG data). See the reference below for more information.\n",
    "\n",
    "[1] Truong, D., Milham, M., Makeig, S., & Delorme, A. (2021). Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021, 1039–1042. https://doi.org/10.1109/EMBC46164.2021.9630708\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==========================================================================================\n",
      "Layer (type:depth-idx)                   Output Shape              Param #\n",
      "==========================================================================================\n",
      "Sequential                               [1, 1]                    --\n",
      "├─Conv2d: 1-1                            [1, 16, 129, 256]         160\n",
      "├─ReLU: 1-2                              [1, 16, 129, 256]         --\n",
      "├─Conv2d: 1-3                            [1, 16, 129, 256]         2,320\n",
      "├─ReLU: 1-4                              [1, 16, 129, 256]         --\n",
      "├─MaxPool2d: 1-5                         [1, 16, 64, 128]          --\n",
      "├─Conv2d: 1-6                            [1, 32, 64, 128]          4,640\n",
      "├─ReLU: 1-7                              [1, 32, 64, 128]          --\n",
      "├─Conv2d: 1-8                            [1, 32, 64, 128]          9,248\n",
      "├─ReLU: 1-9                              [1, 32, 64, 128]          --\n",
      "├─MaxPool2d: 1-10                        [1, 32, 32, 64]           --\n",
      "├─Conv2d: 1-11                           [1, 64, 32, 64]           18,496\n",
      "├─ReLU: 1-12                             [1, 64, 32, 64]           --\n",
      "├─Conv2d: 1-13                           [1, 64, 32, 64]           36,928\n",
      "├─ReLU: 1-14                             [1, 64, 32, 64]           --\n",
      "├─Conv2d: 1-15                           [1, 64, 32, 64]           36,928\n",
      "├─ReLU: 1-16                             [1, 64, 32, 64]           --\n",
      "├─MaxPool2d: 1-17                        [1, 64, 16, 32]           --\n",
      "├─Flatten: 1-18                          [1, 32768]                --\n",
      "├─Linear: 1-19                           [1, 1024]                 33,555,456\n",
      "├─ReLU: 1-20                             [1, 1024]                 --\n",
      "├─Dropout: 1-21                          [1, 1024]                 --\n",
      "├─Linear: 1-22                           [1, 1024]                 1,049,600\n",
      "├─ReLU: 1-23                             [1, 1024]                 --\n",
      "├─Dropout: 1-24                          [1, 1024]                 --\n",
      "├─Linear: 1-25                           [1, 1]                    1,025\n",
      "==========================================================================================\n",
      "Total params: 34,714,801\n",
      "Trainable params: 34,714,801\n",
      "Non-trainable params: 0\n",
      "Total mult-adds (Units.MEGABYTES): 419.41\n",
      "==========================================================================================\n",
      "Input size (MB): 0.13\n",
      "Forward/backward pass size (MB): 15.81\n",
      "Params size (MB): 138.86\n",
      "Estimated Total Size (MB): 154.80\n",
      "==========================================================================================\n"
     ]
    }
   ],
   "source": [
    "# create model\n",
    "from torchinfo import summary\n",
    "from torch import nn\n",
    "\n",
    "model = nn.Sequential(\n",
    "    # First VGG block\n",
    "    nn.Conv2d(1, 16, kernel_size=3, padding=1), nn.ReLU(),\n",
    "    nn.Conv2d(16, 16, kernel_size=3, padding=1), nn.ReLU(),\n",
    "    nn.MaxPool2d(2, 2),\n",
    "    \n",
    "    # Second VGG block\n",
    "    nn.Conv2d(16, 32, kernel_size=3, padding=1), nn.ReLU(),\n",
    "    nn.Conv2d(32, 32, kernel_size=3, padding=1), nn.ReLU(),\n",
    "    nn.MaxPool2d(2, 2),\n",
    "    \n",
    "    # Third VGG block\n",
    "    nn.Conv2d(32, 64, kernel_size=3, padding=1), nn.ReLU(),\n",
    "    nn.Conv2d(64, 64, kernel_size=3, padding=1), nn.ReLU(),\n",
    "    nn.Conv2d(64, 64, kernel_size=3, padding=1), nn.ReLU(),\n",
    "    nn.MaxPool2d(2, 2),\n",
    "    \n",
    "    # Flatten and FC layers\n",
    "    nn.Flatten(),\n",
    "    nn.Linear(64 * 16 * 32, 1024), nn.ReLU(),\n",
    "    nn.Dropout(0.5),\n",
    "    nn.Linear(1024, 1024), nn.ReLU(),\n",
    "    nn.Dropout(0.5),\n",
    "    nn.Linear(1024, 1)\n",
    ")\n",
    "\n",
    "print(summary(model, input_size=(1, 1, 129, 256)))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Model Training and Evaluation Process\n",
    "\n",
    "This section trains the neural network using the Adamax optimizer, normalizes input data, computes cross-entropy loss, updates model parameters, and tracks accuracy across six epochs.\n",
    "\n",
    "1. **Set Up Optimizer and Learning Rate Scheduler** – The `Adamax` optimizer initializes with a learning rate of 0.002 and weight decay of 0.001 for regularization.  \n",
    "\n",
    "2. **Allocate Model to Device** – The model moves to the specified device (CPU, GPU, or MPS for Mac silicon) to optimize computation efficiency.  \n",
    "\n",
    "3. **Normalize Input Data** – The `normalize_data` function standardizes input data by subtracting the mean and dividing by the standard deviation along the time dimension before transferring it to the appropriate device.  \n",
    "\n",
    "4. **Train the Model for Two Epochs** – The training loop iterates through data batches with the model in training mode. It normalizes inputs, computes predictions, calculates cross-entropy loss, performs backpropagation, updates model parameters, and steps the learning rate scheduler. It tracks correct predictions to compute accuracy.  \n",
    "\n",
    "5. **Evaluate on Test Data** – After each epoch, the model runs in evaluation mode on the test set. It computes predictions on normalized data and calculates test accuracy by comparing outputs with actual labels.  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\adelorme\\AppData\\Local\\Temp\\ipykernel_14340\\3576152724.py:28: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
      "  y = torch.tensor(y, device=device, dtype=torch.float)\n",
      "C:\\Users\\adelorme\\AppData\\Local\\Temp\\ipykernel_14340\\3576152724.py:33: UserWarning: Using a target size (torch.Size([250])) that is different to the input size (torch.Size([250, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.\n",
      "  loss = F.mse_loss(scores, y)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 0, Iteration 0, loss = 1.0155\n",
      "Epoch 0, Iteration 50, loss = 1.0042\n",
      "Epoch 0, Iteration 100, loss = 0.8721\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\adelorme\\AppData\\Local\\Temp\\ipykernel_14340\\3576152724.py:33: UserWarning: Using a target size (torch.Size([128])) that is different to the input size (torch.Size([128, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.\n",
      "  loss = F.mse_loss(scores, y)\n",
      "C:\\Users\\adelorme\\AppData\\Local\\Temp\\ipykernel_14340\\3576152724.py:47: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
      "  y = torch.tensor(y, device=device, dtype=torch.float)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train MSE Loss: 0.9160, Test MSE Loss: 0.5131\n",
      "Epoch 1, Iteration 0, loss = 0.8847\n",
      "Epoch 1, Iteration 50, loss = 0.9549\n",
      "Epoch 1, Iteration 100, loss = 0.9597\n",
      "Train MSE Loss: 0.7988, Test MSE Loss: 0.5415\n",
      "Epoch 2, Iteration 0, loss = 0.9817\n",
      "Epoch 2, Iteration 50, loss = 0.8252\n",
      "Epoch 2, Iteration 100, loss = 0.8894\n",
      "Train MSE Loss: 0.8656, Test MSE Loss: 0.4881\n",
      "Epoch 3, Iteration 0, loss = 0.9765\n",
      "Epoch 3, Iteration 50, loss = 0.9233\n",
      "Epoch 3, Iteration 100, loss = 0.8681\n",
      "Train MSE Loss: 0.9167, Test MSE Loss: 0.4806\n",
      "Epoch 4, Iteration 0, loss = 0.8714\n",
      "Epoch 4, Iteration 50, loss = 0.9717\n",
      "Epoch 4, Iteration 100, loss = 0.8719\n",
      "Train MSE Loss: 0.9339, Test MSE Loss: 0.4705\n",
      "Epoch 5, Iteration 0, loss = 0.8693\n",
      "Epoch 5, Iteration 50, loss = 1.0296\n",
      "Epoch 5, Iteration 100, loss = 0.9083\n",
      "Train MSE Loss: 0.8710, Test MSE Loss: 0.4580\n",
      "Epoch 6, Iteration 0, loss = 0.8722\n",
      "Epoch 6, Iteration 50, loss = 0.8998\n",
      "Epoch 6, Iteration 100, loss = 0.9199\n",
      "Train MSE Loss: 1.1663, Test MSE Loss: 0.4255\n",
      "Epoch 7, Iteration 0, loss = 0.9155\n",
      "Epoch 7, Iteration 50, loss = 0.9198\n",
      "Epoch 7, Iteration 100, loss = 0.8725\n",
      "Train MSE Loss: 1.0013, Test MSE Loss: 0.4405\n",
      "Epoch 8, Iteration 0, loss = 1.0134\n",
      "Epoch 8, Iteration 50, loss = 0.9878\n",
      "Epoch 8, Iteration 100, loss = 0.9508\n",
      "Train MSE Loss: 1.1140, Test MSE Loss: 0.4764\n",
      "Epoch 9, Iteration 0, loss = 0.8685\n",
      "Epoch 9, Iteration 50, loss = 0.9899\n",
      "Epoch 9, Iteration 100, loss = 0.9067\n",
      "Train MSE Loss: 0.8576, Test MSE Loss: 0.4558\n"
     ]
    }
   ],
   "source": [
    "\n",
    "from torch.nn import functional as F\n",
    "\n",
    "optimizer = torch.optim.Adamax(model.parameters(), lr=0.002, weight_decay=0.001)\n",
    "device = torch.device('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')\n",
    "model.to(device=device)\n",
    "\n",
    "def normalize_data(x):\n",
    "    x = x.reshape(x.shape[0], 1, 129, 256)\n",
    "    mean = x.mean(dim=3, keepdim=True)\n",
    "    std = x.std(dim=3, keepdim=True) + 1e-7  # add small epsilon for numerical stability\n",
    "    x = (x - mean) / std\n",
    "    x = x.to(device=device, dtype=torch.float32)  # move to device, e.g. GPU\n",
    "    return x\n",
    "\n",
    "# dictionary of genders for converting sample labels to numerical values\n",
    "gender_dict = {'M': 0, 'F': 1}\n",
    "\n",
    "epochs = 10\n",
    "for e in range(epochs):\n",
    "    \n",
    "    # training\n",
    "    correct_train = 0\n",
    "    for t, (x, y, sz) in enumerate(train_loader):\n",
    "        model.train()  # put model to training mode\n",
    "        scores = model(normalize_data(x))\n",
    "        _, preds = scores.max(1)\n",
    "        # y = torch.tensor([gender_dict[gender] for gender in y], device=device, dtype=torch.long)\n",
    "        y = torch.tensor(y, device=device, dtype=torch.float)\n",
    "        # correct_train += (preds == y).sum()/len(train_ds)\n",
    "        mse_loss_train = F.mse_loss(scores.flatten(), y.float())\n",
    "        \n",
    "        # Calculates the cross-entropy loss and performs backpropagation\n",
    "        loss = F.mse_loss(scores, y)\n",
    "        optimizer.zero_grad()\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "\n",
    "        if t % 50 == 0:\n",
    "            print('Epoch %d, Iteration %d, loss = %.4f' % (e, t, loss.item()))\n",
    "    \n",
    "    # validation\n",
    "    correct_test = 0\n",
    "    for t, (x, y, sz) in enumerate(val_loader):\n",
    "        model.eval() # put model to testing mode\n",
    "        scores = model(normalize_data(x))\n",
    "        _, preds = scores.max(1)\n",
    "        y = torch.tensor(y, device=device, dtype=torch.float)\n",
    "        # y = torch.tensor([gender_dict[gender] for gender in y], device=device, dtype=torch.long)\n",
    "        # correct_test += (preds == y).sum()/len(val_ds)\n",
    "        mse_loss_test = F.mse_loss(scores.flatten(), y.float())\n",
    "\n",
    "    # print(f'Epoch {e}, Train accuracy: {correct_train:.2f}, Test accuracy: {correct_test:.2f}\\n')\n",
    "    print(f'Train MSE Loss: {mse_loss_train:.4f}, Test MSE Loss: {mse_loss_test:.4f}')\n"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": []
  }
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