Add data

create_dataset.py

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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()

test.jsonl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a0c1f20c01fa77f6b832fdb5e6218018660781e762f3e68ee3e6f279e7839bcc
+size 8906768

train.jsonl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b696a1d6a43a306b2ea21cdf20be62c1e56a04908053f24e606707454e84a728
+size 14810848