Datasets:
Tasks:
Text Generation
Sub-tasks:
language-modeling
Languages:
English
Multilinguality:
monolingual
Size Categories:
1k<n<10K
Source Datasets:
tweet_qa
ArXiv:
License:
Update process.py
Browse files- process.py +1 -1
process.py
CHANGED
@@ -22,7 +22,7 @@ def create_data(hf_data):
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}
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example["questions_answers"] = SEP_TOKEN.join([f"Q: {q}, A: {a}" for q, a in zip(example["questions"], example["answers"])])
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output.append(example)
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-
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if __name__ == '__main__':
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}
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example["questions_answers"] = SEP_TOKEN.join([f"Q: {q}, A: {a}" for q, a in zip(example["questions"], example["answers"])])
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output.append(example)
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+
return output
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if __name__ == '__main__':
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