Tweet
Datasets
All datasets matching “Tweet”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_sentiment_extraction
TweetSentimentExtractionClassification
An MTEB dataset
Massive Text Embedding Benchmark
Task category
t2c
Domains
Social, Written
Reference
https://www.kaggle.com/competitions/tweet-sentiment-extraction/overview
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["TweetSentimentExtractionClassification"])
evaluator = mteb.MTEB(task)
model =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/tweet_sentiment_extraction.angry-tweets
Dataset Card for AngryTweets
Dataset Summary
This dataset consists of anonymised Danish Twitter data that has been annotated for sentiment analysis through crowd-sourcing. All credits go to the authors of the following paper, who created the dataset:
Pauli, Amalie Brogaard, et al. "DaNLP: An open-source toolkit for Danish Natural Language Processing." Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa). 2021
Supported Tasks and… See the full description on the dataset page: https://huggingface.co/datasets/DDSC/angry-tweets.tweet_topic_multilingual
Dataset Card for "cardiffnlp/tweet_topic_multilingual"
Dataset Summary
This is the official repository of X-Topic (Multilingual Topic Classification in X: Dataset and Analysis, EMNLP 2024), a topic classification dataset based on X (formerly Twitter), featuring 19 topic labels.
The classification task is multi-label, with tweets available in four languages: English, Japanese, Spanish, and Greek.
The dataset comprises 4,000 tweets (1,000 per language), collected between… See the full description on the dataset page: https://huggingface.co/datasets/cardiffnlp/tweet_topic_multilingual.tweet_eval_stance_abortiontweet_sentiment_multilingual
Dataset Card for cardiffnlp/tweet_sentiment_multilingual
Dataset Summary
Tweet Sentiment Multilingual consists of sentiment analysis dataset on Twitter in 8 different lagnuages.
arabic
english
french
german
hindi
italian
portuguese
spanish
Supported Tasks and Leaderboards
text_classification: The dataset can be trained using a SentenceClassification model from HuggingFace transformers.
Dataset Structure
Data Instances
An instance from… See the full description on the dataset page: https://huggingface.co/datasets/cardiffnlp/tweet_sentiment_multilingual.