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experiments_4_QG_generate_seq2seq.sh
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experiments_4_QG_generate_seq2seq.sh
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# STEP 3: perform data augmentation. Raw input data -> sentences txt file -> augmented sentences pkl file
# run each code piece in one machine. process data in parallel.
# squad data
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/SQuAD2.0/"
output_path="../../../../Datasets/processed/SQuAD2.0/"
data_type="squad"
data_file_prefix="train"
st_idx=0
ed_idx=50000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/SQuAD2.0/"
output_path="../../../../Datasets/processed/SQuAD2.0/"
data_type="squad"
data_file_prefix="train"
st_idx=50000
ed_idx=92210
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
# wiki data
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=0
ed_idx=50000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=50000
ed_idx=100000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=100000
ed_idx=150000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=150000
ed_idx=200000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=200000
ed_idx=250000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=250000
ed_idx=300000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=300000
ed_idx=350000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=350000
ed_idx=400000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=400000
ed_idx=450000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=450000
ed_idx=500000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=500000
ed_idx=550000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=550000
ed_idx=600000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=600000
ed_idx=650000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=650000
ed_idx=700000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=700000
ed_idx=750000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=750000
ed_idx=800000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=800000
ed_idx=850000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=850000
ed_idx=900000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=900000
ed_idx=950000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"
cd /ceph4/bangliu/FQG/src/model/FactorizedQG/
input_path="../../../../Datasets/original/Wiki10000/"
output_path="../../../../Datasets/processed/Wiki10000/"
data_type="wiki10000"
data_file_prefix="wiki10000"
st_idx=950000
ed_idx=1000000
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 "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.pkl" \
--qg_augmented_sentences_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.processed.pkl" \
--qg_result_file "$output_path${data_file_prefix}.sentences.augmented.${st_idx}_${ed_idx}.output.txt" \
--da_paragraphs_file "$output_path${data_file_prefix}.paragraphs.txt" \
--qa_data_file "$output_path${data_file_prefix}.qa.${st_idx}_${ed_idx}.txt"