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.gitattributes

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README.md

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-** Attention: There appears an overlap in train / test. I trained a model on the train set and achieved 100% acc on test set. With the original emotion dataset this is not the case (92.4% acc)**

validation.jsonl → SetFit--emotion/json-test.parquet

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-size 276240
+oid sha256:109ed7fc8fa21201075e252972c0656e615c831c8e13708249cc3314f05663a5
+size 130410

train.jsonl → SetFit--emotion/json-train.parquet

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-oid sha256:a5adb38c9e047b4f2b0349175dfdaa06436bad53847dbcf89d107a0a8669b657
-size 2234616
+oid sha256:405de111d129d44916b5597a72d5566bb93cb5dcceb7437b03856b9f6a80e668
+size 1041502

test.jsonl → SetFit--emotion/json-validation.parquet

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-oid sha256:8e067a2bbfd2f4902e3020b0af41db9a3a37544495cbfd3ea00aca2414c3a551
-size 278760
+oid sha256:5fb244353caaa19518496dd931a46f05c38263989487f3acce540c6e2973dda4
+size 128889

create_dataset.py

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-from datasets import load_dataset
-
-
-def main():
-    raw_dset = load_dataset("emotion")
-    labels = raw_dset["train"].features["label"]
-
-    for split, dset in raw_dset.items():
-        dset = dset.map(lambda x: {"label_text": labels.int2str(x["label"])}, num_proc=4)
-        dset.to_json(f"{split}.jsonl")
-
-
-if __name__ == "__main__":
-    main()