Datasets:

cardiffnlp
/

super_tweeteval

Tasks:

Text Classification

Token Classification

Question Answering

Modalities:

Formats:

Sub-tasks:

topic-classification

named-entity-recognition

Languages:

Size:

ArXiv:

Tags:

super_tweet_eval

natural language understanding

Libraries:

License:

Dataset card Viewer Files Files and versions Community

asahi417 commited on May 16, 2023

Commit

1fd2c38

•

1 Parent(s): 1cc73a3

init

Files changed (4) hide show

data/tweet_similarity/test.jsonl +2 -2
data/tweet_similarity/train.jsonl +2 -2
data/tweet_similarity/validation.jsonl +2 -2
process/tweet_sim.py +3 -3

data/tweet_similarity/test.jsonl CHANGED Viewed

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process/tweet_sim.py CHANGED Viewed

@@ -7,9 +7,9 @@ tmp = [i.tolist() for i in df.values]
 tmp = [{"text_1": a, "text_2": b, "label_float": c} for a, b, c in tmp]
 seed(42)
 shuffle(tmp)
-train = tmp[:600]
-val = tmp[600:800]
-test = tmp[800:]
 os.makedirs("data/tweet_similarity", exist_ok=True)
 with open("data/tweet_similarity/train.jsonl", "w") as f:

 tmp = [{"text_1": a, "text_2": b, "label_float": c} for a, b, c in tmp]
 seed(42)
 shuffle(tmp)
+train = tmp[:450]
+val = tmp[450:550]
+test = tmp[550:]
 os.makedirs("data/tweet_similarity", exist_ok=True)
 with open("data/tweet_similarity/train.jsonl", "w") as f: