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.gitattributes
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README.md
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# GoEmotions
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This dataset is a port of the official [`go_emotions` dataset](https://huggingface.co/datasets/go_emotions) on the Hub. It only contains the `simplified` subset as these are the only fields we need for text classification.
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validation.jsonl β SetFit--go_emotions/json-test.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:0b93d0550ca7c29c615ce4727ef5344ddf6eb4176a7557e85c265f95d44ea72e
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size 359301
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test.jsonl β SetFit--go_emotions/json-train.parquet
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:a0afdb70f458e282cd540a48b9b685723286f70e4a79095b155b913a6bae5e7f
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size 2807876
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train.jsonl β SetFit--go_emotions/json-validation.parquet
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:0e6f5f40062d7a4607114b87320355598611c6466a2fb115c156c633a7e54842
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size 362822
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create_dataset.py
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from datasets import load_dataset
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# +
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def main():
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raw_dset = load_dataset("go_emotions", "simplified")
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labels = raw_dset["train"].features["labels"].feature
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def create_labels(row):
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labels_columns = {}
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for _label in labels.names:
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labels_columns.setdefault(_label, 0)
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labels_columns.update({labels.int2str(_l):1 for _l in row['labels']})
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return labels_columns
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for split, dset in raw_dset.items():
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dset = dset.map(lambda x: create_labels(x), num_proc=4)
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dset = dset.remove_columns(["id", "labels"])
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dset.to_json(f"{split}.jsonl")
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# -
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if __name__ == "__main__":
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main()
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