cardiffnlp/tweet_eval

Name: cardiffnlp/tweet_eval
Creator: cardiffnlp
License: ["unknown"]
Keywords: huggingface, 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, text-classification

Text Classification · cardiffnlp· 25.0K

["unknown"] 477 MB

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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Dataset details

Task

Text Classification

Language

License

["unknown"]

Size

477 MB

Creator

cardiffnlp

Downloads

25.0K

Source

huggingface_datasets

Updated

2024-01-04

About cardiffnlp/tweet_eval

Table of Contents - Dataset Description - Dataset Summary - Supported Tasks and Leaderboards - Languages - Dataset Structure - Data Instances - Data Fields - Data Splits - Dataset Creation - Curation Rationale - Source Data - Annotations - Personal and Sensitive Information - Considerations for Using the Data - Social Impact of Dataset - Discussion of Biases - Other Known Limitations - Additional Information - Dataset Curators - Licensing Information - Citation Information - Contributions