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experiments_4_QG_generate_seq2seq_poly.py
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experiments_4_QG_generate_seq2seq_poly.py
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# STEP 4: use trained FQG model to generate new QG data using augmented sentences
# run each code piece in one machine. process data in parallel.
import os
import argparse
import logging
from polyaxon_client.tracking import get_outputs_path
# Set up the logger
logging.basicConfig(format='%(message)s', level=logging.INFO)
logger = logging.getLogger(__name__)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("data_dir", type=str, help="Directory containing the data for the ACS-QG project")
args = parser.parse_args()
data_dir = args.data_dir.rstrip("/") + "/"
checkpoint_dir = data_dir + "output/checkpoint/"
OUT_DIR = get_outputs_path().rstrip("/") + "/"
# squad data
processed_path = data_dir + "processed/SQuAD2.0/"
data_file_prefix = "train"
st_idx = str(0)
ed_idx = str(50000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/SQuAD2.0/"
data_file_prefix = "train"
st_idx = str(50000)
ed_idx = str(92210)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
# wiki data
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(0)
ed_idx = str(50000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(50000)
ed_idx = str(100000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(100000)
ed_idx = str(150000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(150000)
ed_idx = str(200000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(200000)
ed_idx = str(250000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(250000)
ed_idx = str(300000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(300000)
ed_idx = str(350000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(350000)
ed_idx = str(400000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(400000)
ed_idx = str(450000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(450000)
ed_idx = str(500000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(500000)
ed_idx = str(550000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(550000)
ed_idx = str(600000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(600000)
ed_idx = str(650000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(650000)
ed_idx = str(700000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(700000)
ed_idx = str(750000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(750000)
ed_idx = str(800000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(800000)
ed_idx = str(850000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(850000)
ed_idx = str(900000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(900000)
ed_idx = str(950000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)
processed_path = data_dir + "processed/Wiki10000/"
data_file_prefix = "wiki10000"
st_idx = str(950000)
ed_idx = str(1000000)
logger.info("run QG_augment_main.py over directory %s for indices %s-%s" % (processed_path, st_idx, ed_idx))
os.system('CUDA_VISIBLE_DEVICES=0 python3 QG_augment_main.py \
--not_processed_data \
--batch_size 8 \
--epochs 10 \
--copy_type hard-oov \
--copy_loss_type 1 \
--use_style_info \
--use_clue_info \
-beam_size 20 \
--use_refine_copy_tgt_src \
--da_augmented_sentences_file "' + processed_path + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.pkl" \
--qg_augmented_sentences_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.processed.pkl" \
--qg_result_file "' + OUT_DIR + data_file_prefix + '.sentences.augmented.' + st_idx + '_' + ed_idx + '.output.txt" \
--da_paragraphs_file "' + processed_path + data_file_prefix + '.paragraphs.txt" \
--qa_data_file "' + OUT_DIR + data_file_prefix + '.qa.' + st_idx + '_' + ed_idx + '.txt" \
--checkpoint_dir ' + checkpoint_dir)