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Hate Speech Tweets dataset
The Hate Speech Tweets dataset contains over 24,000 English tweets labeled as non-offensive, hate speech, and profanity. -
HateXplain
The HateXplain dataset, containing 20,000 posts from Gab and Twitter, annotated with hate/offensive/normal labels. -
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech
The implicit hate dataset is a specialized collection of data aimed at detecting hate speech. -
Hatexplain: A Benchmark Dataset for Explainable Hate Speech Detection
The HateXplain dataset is a benchmark dataset for explainable hate speech detection. -
Hate Speech Detection using Large Language Models
The dataset used for probing LLMs for hate speech detection, including HateXplain, implicit hate, and ToxicSpans datasets. -
Bengali Hate Speech Dataset
The Bengali Hate Speech Dataset is a large-scale dataset for hate speech detection in the Bengali language. It contains 8,087 labelled examples, categorized into political,... -
Multimodal Hate Speech Detection in Bengali
Multimodal hate speech detection dataset for Bengali language -
The Hateful Memes dataset
The Hateful Memes dataset aims to help develop models that more effectively detect multimodal hateful content. -
Hate Speech Detection Dataset
The dataset used in the paper is a collection of tweets with hate speech and offensive language, annotated with their sentiment. -
Hateful Memes Challenge
The Hateful Memes dataset is a multimodal dataset containing 10,000+ new examples of multimodal content. -
HuggingFace DLab dataset
The HuggingFace DLab dataset is used for assessing fair target-group detection. It contains 135,556 posts with explicit annotations for the target group(s). -
Hateful Memes Challenge Dataset
The dataset used for detecting harmful memes, particularly in the multicultural and multilingual context of Singapore.
