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preprocess_MNLI.py
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preprocess_MNLI.py
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import preprocess_SNLI
import json
if __name__ == '__main__':
"""
preprocess MNLI
"""
dataset = 'mnli_train'
in_filepath = 'multinli_1.0/multinli_1.0_train.jsonl'
prems_arr, hypos_arr, label_arr = preprocess_SNLI.load_data(in_filepath)
out_filepath = '{}.json'.format(dataset)
open(out_filepath, 'w').write(json.dumps([prems_arr, hypos_arr, label_arr]))
dataset = 'mnli_validation_matched'
in_filepath = 'multinli_1.0/multinli_1.0_dev_matched.jsonl'
prems_arr, hypos_arr, label_arr, category_arr = preprocess_SNLI.load_data(in_filepath, additional_label = 'genre')
out_filepath = '{}.json'.format(dataset)
open(out_filepath, 'w').write(json.dumps([prems_arr, hypos_arr, label_arr, category_arr]))
dataset = 'mnli_validation_mismatched'
in_filepath = 'multinli_1.0/multinli_1.0_dev_mismatched.jsonl'
prems_arr, hypos_arr, label_arr, category_arr = preprocess_SNLI.load_data(in_filepath, additional_label = 'genre')
out_filepath = '{}.json'.format(dataset)
open(out_filepath, 'w').write(json.dumps([prems_arr, hypos_arr, label_arr, category_arr]))