Datasets:
Tasks:
Text Generation
Modalities:
Text
Sub-tasks:
language-modeling
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
question-generation
License:
Update process.py
Browse files- process.py +2 -2
process.py
CHANGED
@@ -16,8 +16,8 @@ def create_data(hf_data):
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for paragraph, g in df.groupby("paragraph"):
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example = {
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'paragraph': paragraph.replace(SEP_TOKEN, " "),
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-
'questions': [_g.replace(SEP_TOKEN, " ") for _g in g['
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-
'answers': [_g[0].replace(SEP_TOKEN, " ") for _g in g['
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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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for paragraph, g in df.groupby("paragraph"):
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example = {
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'paragraph': paragraph.replace(SEP_TOKEN, " "),
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+
'questions': [_g.replace(SEP_TOKEN, " ") for _g in g['question']],
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+
'answers': [_g[0].replace(SEP_TOKEN, " ") for _g in g['answer']],
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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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