abubakaraabi786/tweet_eval
Dataset Card for tweet_eval Dataset Summary TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. The tasks include - irony, hate, offensive, stance, emoji, emotion, and sentiment. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits. Supported Tasks and Leaderboards text_classification: The dataset… See the full description on the dataset page: https://huggingface.co/datasets/abubakaraabi786/tweet_eval.
| Author / organization | abubakaraabi786 |
|---|---|
| License (as declared) | unknown |
| Downloads | 261 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 25 February 2026 |
| Last updated at source | 25 February 2026 |
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Recent changes
- 16 Oct 2026 Description: Dataset Card for tweet_eval Dataset Summary TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. The tasks include - irony, hate, offensive, stance, emoji, emotion, and sentiment. All ta → Dataset Card for tweet_eval Dataset Summary TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. The tasks include - irony, hate, offensive, stance, emoji, emotion, and sentiment. All ta
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