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from datasets import load_dataset
# +
def main():
raw_dset = load_dataset("go_emotions", "simplified")
labels = raw_dset["train"].features["labels"].feature
def create_labels(row):
labels_columns = {}
for _label in labels.names:
labels_columns.setdefault(_label, 0)
labels_columns.update({labels.int2str(_l):1 for _l in row['labels']})
return labels_columns
for split, dset in raw_dset.items():
dset = dset.map(lambda x: create_labels(x), num_proc=4)
dset = dset.remove_columns(["id", "labels"])
dset.to_json(f"{split}.jsonl")
# -
if __name__ == "__main__":
main()
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