Datasets:
Tasks:
Text Generation
Sub-tasks:
language-modeling
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
question-generation
License:
File size: 785 Bytes
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import os
from glob import glob
from datasets import load_dataset
os.makedirs('./reference_files', exist_ok=True)
for split in ['validation', 'test']:
for domain in ["default", "books", "electronics", "grocery", "movies", "restaurants", "tripadvisor"]:
dataset = load_dataset('asahi417/qg_subjqa', domain, split=split)
for data in ['question', 'answer', 'sentence', 'paragraph']:
with open('./reference_files/{}-{}.{}txt'.format(data, split, "" if domain == 'default' else f"{domain}."), 'w') as f:
f.write('\n'.join(dataset[data]))
if domain != 'default':
length = [len(open(i).read().split('\n')) for i in glob(f'reference_files/*{split}*{domain}*.txt')]
assert len(list(set(length))) == 1, length
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