Datasets:
Tasks:
Text Generation
Modalities:
Text
Sub-tasks:
language-modeling
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
question-generation
License:
File size: 751 Bytes
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import os
from datasets import load_dataset
dataset_name = 'asahi417/qg_squadshifts'
os.makedirs('./reference_files', exist_ok=True)
for split in ['test']:
for domain in ["default", 'new_wiki', 'nyt', 'reddit', 'amazon']:
print(split, domain, dataset_name)
dataset = load_dataset(dataset_name, 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:
print(dataset)
if data == 'paragraph':
f.write('\n'.join(dataset['paragraph_id']))
else:
f.write('\n'.join(dataset[data]))
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