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