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.gitattributes

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README.md

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-# Tweet Sentiment Extraction
-
-Source: https://www.kaggle.com/c/tweet-sentiment-extraction/data

test.jsonl → SetFit--tweet_sentiment_extraction/json-test.parquet

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-size 503351
+oid sha256:4c98e00d71d79522bb50966fda8702b74cbc2521ba8932bd5d5a60b3888ca915
+size 243866

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

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-oid sha256:d43dee14f2ed23d635338ac401d2b5e00371eaa18e26eb246375cfc886800e11
-size 3931114
+oid sha256:903649571aa722d33816fc3870361edb362fbae9b0505411c3cfcc1fd68b34e8
+size 1894203

create_dataset.py

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-from datasets import DatasetDict, load_dataset
-import csv
-import json
-
-def main():
-    label2id = {"positive": 2, "neutral": 1, "negative": 0}
-
-    for split in ["train", "test"]:
-        input_file = csv.DictReader(open(f"raw_data/{split}_csv"))
-
-        with open(f'{split}.jsonl', 'w') as fOut:
-            for row in input_file:
-                fOut.write(json.dumps({'textID': row['textID'], 'text': row['text'], 'label': label2id[row['sentiment']], 'label_text': row['sentiment']})+"\n")
-               
-
-    """
-    train_dset = load_dataset("csv", data_files="raw_data/train_csv", split="train")
-    train_dset = train_dset.remove_columns(["selected_text"])
-    test_dset = load_dataset("csv", data_files="raw_data/train_csv", split="train")
-    raw_dset = DatasetDict()
-    raw_dset["train"] = train_dset
-    raw_dset["test"] = test_dset
-
-    for split, dset in raw_dset.items():
-        dset = dset.rename_column("sentiment", "label_text")
-        dset = dset.map(lambda x: {"label": label2id[x["label_text"]]}, num_proc=8)
-        dset.to_json(f"{split}.jsonl")
-    """
-
-if __name__ == "__main__":
-    main()