Dataset · Hugging Face

cardiffnlp/tweet_eval

Name: tweet_eval
Creator: cardiffnlp
License: unknown
Keywords: task_categories:text-classification, task_ids:intent-classification, task_ids:multi-class-classification, task_ids:sentiment-classification, annotations_creators:found, language_creators:found, multilinguality:monolingual, source_datasets:extended|other-tweet-datasets, language:en, license:unknown, size_categories:100K<n<1M, format:parquet, modality:text, library:datasets, library:pandas

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: https://huggingface.co/datasets/cardiffnlp/tweet_eval.

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Author / organization	cardiffnlp
License (as declared)	unknown
Downloads	28.7K (as reported by Hugging Face)
Likes	158
Created	2 March 2022
Last updated at source	4 January 2024

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