Datasets:
Tasks:
Text Generation
Sub-tasks:
language-modeling
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
question-generation
License:
File size: 693 Bytes
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import os
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_newsqa', 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:
if data == 'paragraph':
f.write('\n'.join(dataset['paragraph_id']))
else:
f.write('\n'.join(dataset[data]))
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