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from datasets import Dataset
from sklearn.datasets import fetch_20newsgroups
def main():
for split in ["train", "test"]:
# Follow recommendation to strip newsgroup metadata
# https://scikit-learn.org/0.19/datasets/twenty_newsgroups.html#filtering-text-for-more-realistic-training
data = fetch_20newsgroups(subset=split, remove=("headers", "footers", "quotes"))
id2label = {idx: label for idx, label in enumerate(data["target_names"])}
d = {"text": data["data"], "label": data["target"]}
dset = Dataset.from_dict(d)
dset = dset.map(lambda x: {"label_text": id2label[x["label"]]})
dset.to_json(f"{split}.jsonl")
if __name__ == "__main__":
main()
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