Datasets:
Tasks:
Question Answering
Modalities:
Text
Sub-tasks:
extractive-qa
Languages:
English
Size:
10K - 100K
ArXiv:
License:
File size: 669 Bytes
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import os
import json
from datasets import load_dataset
os.makedirs('datasets', exist_ok=True)
data = load_dataset("lmqg/qg_squad")
_id = 0
for _split in data:
output = []
for d in data[_split]:
a = d['answer']
p = d['paragraph']
output.append({
"id": str(_id),
"title": "None",
"context": d['paragraph'],
"question": d['question'],
"answers": {
"text": [a],
"answer_start": [p.index(a)]
}
})
_id += 1
with open(f'datasets/{_split}.jsonl', 'w') as f:
f.write('\n'.join([json.dumps(i) for i in output]))
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