TweetEval

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.

Keywords

hf-dataset intent-classification multi-class-classification sentiment-classification found monolingual extended|other-tweet-datasets parquet text datasets pandas mlcroissant polars has-paper

Research notes

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