hridoy1107040/tweet_eval

TweetEval数据集包含七个不同的Twitter任务，均以多类推文分类的形式呈现。这些任务包括讽刺、仇恨、冒犯性、立场、表情符号、情感和情绪。所有任务都被统一到同一个基准中，每个数据集都以相同的格式呈现，并具有固定的训练、验证和测试分割。数据集中的文本为英语，由Twitter用户发布。数据集由Cardiff NLP的Francesco Barbieri等人整理，每个子集都有自己的许可证，并要求遵守Twitter的服务条款。

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. The text in the dataset is in English, as spoken by Twitter users. The dataset is curated by Francesco Barbieri, Jose Camacho-Collados, Luis Espinosa-Anke and Leonardo Neves through Cardiff NLP. This is not a single dataset, therefore each subset has its own license (the collection itself does not have additional restrictions). All of the datasets require complying with Twitter Terms Of Service and Twitter API Terms Of Service.