tweet_eval
tweet_eval
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.tweet_eval_stance_abortionsuper_tweeteval
SuperTweetEval
Dataset Card for "super_tweeteval"
Dataset Summary
This is the oficial repository for SuperTweetEval, a unified benchmark of 12 heterogeneous NLP tasks.
More details on the task and an evaluation of language models can be found on the reference paper, published in EMNLP 2023 (Findings).
Data Splits
All tasks provide custom training, validation and test splits.
task
dataset
load dataset
description
number of instances
Topic… See the full description on the dataset page: https://huggingface.co/datasets/cardiffnlp/super_tweeteval.tweet_eval_stance
tweet_eval_stance_abortion
This is the stance_abortion subset of tweet_eval
llm-eval-tweet_sentimenttweet_eval
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/ShanzaGull/tweet_eval.