TweetEval

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 can be… See the full description on the dataset page: eval.

Source: Hugging Face Hub (cardiffnlp/tweet_eval). Metadata imported from the dataset’s Hub tags.