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.gitattributes

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-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md

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----
-language:
-- en
----

create_data.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({'id': 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()

mteb--tweet_sentiment_extraction/json-test.parquet

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mteb--tweet_sentiment_extraction/json-train.parquet

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