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from datasets import load_dataset
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def main():
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raw_dset = load_dataset("glue", "mrpc")
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raw_dset = raw_dset.rename_column("sentence1", "text1")
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raw_dset = raw_dset.rename_column("sentence2", "text2")
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text_labs = ["not equivalent", "equivalent"]
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for split, dset in raw_dset.items():
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label_text = []
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for i in dset["label"]:
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if i >= 0:
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label_text.append(text_labs[i])
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else:
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label_text.append("unlabeled")
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dset = dset.add_column("label_text", label_text)
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dset.to_json(f"{split}.jsonl")
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if __name__ == "__main__":
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main()
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print("Job's done!") |