Moved RCV1 elif Block

Author: SuyashLakhotia

data.py

@@ -442,6 +442,18 @@ def prepare_dataset(dataset, out, vocab_size, **params):
         train.documents, test.documents = all_data.documents[:split_index], all_data.documents[split_index:]
         train.data, test.data = all_data.data[:split_index], all_data.data[split_index:]
         train.labels, test.labels = all_data.labels[:split_index], all_data.labels[split_index:]
+    elif dataset == "RCV1":
+        print("Preparing data...")
+        all_data = TextRCV1()
+        all_data.preprocess(out=out, vocab_size=vocab_size, **params)
+
+        # Split train/test set
+        train = copy.deepcopy(all_data)
+        test = copy.deepcopy(all_data)
+        split_index = all_data.data.shape[0] // 2  # according to Bruna's paper & Hinton's dropout paper
+        train.documents, test.documents = all_data.documents[:split_index], all_data.documents[split_index:]
+        train.data, test.data = all_data.data[:split_index], all_data.data[split_index:]
+        train.labels, test.labels = all_data.labels[:split_index], all_data.labels[split_index:]
     elif dataset == "RCV1-Vectors-Original":
         assert out == "tfidf"
         assert vocab_size == None
@@ -467,18 +479,6 @@ def prepare_dataset(dataset, out, vocab_size, **params):
         split_index = all_data.data.shape[0] // 2  # according to Bruna's paper & Hinton's dropout paper
         train.data, test.data = all_data.data[:split_index], all_data.data[split_index:]
         train.labels, test.labels = all_data.labels[:split_index], all_data.labels[split_index:]
-    elif dataset == "RCV1":
-        print("Preparing data...")
-        all_data = TextRCV1()
-        all_data.preprocess(out=out, vocab_size=vocab_size, **params)
-
-        # Split train/test set
-        train = copy.deepcopy(all_data)
-        test = copy.deepcopy(all_data)
-        split_index = all_data.data.shape[0] // 2  # according to Bruna's paper & Hinton's dropout paper
-        train.documents, test.documents = all_data.documents[:split_index], all_data.documents[split_index:]
-        train.data, test.data = all_data.data[:split_index], all_data.data[split_index:]
-        train.labels, test.labels = all_data.labels[:split_index], all_data.labels[split_index:]
 
     return train, test