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""" Extract the prediction samples from the raw prediction file. |
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i.e., ${data}/test_raw.jsonl to ${data}/test.jsonl |
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""" |
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import json |
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from jsonargparse import CLI |
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def context2input(l, start=0): |
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""" Given a list of context, just following UniCRS to format the context. |
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""" |
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context = '' |
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for i, utt in enumerate(l): |
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if utt == '' or utt == ' ': |
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continue |
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if i % 2 == start: |
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context += '\nUser: ' |
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else: |
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context += '\nSystem: ' |
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context += utt |
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return context + '\nSystem: ' |
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def main(from_json: str = None, to_json: str = None, start: int = 0): |
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with open(from_json) as fr, open(to_json, 'w') as fw: |
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for l in fr: |
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l = json.loads(l) |
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if l['is_user'] == 0 and len(l['rec']) > 0: |
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l['input'] = context2input(l['context'], start=start) |
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fw.write(json.dumps(l) + '\n') |
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if __name__ == '__main__': |
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CLI(main) |
