18 datasets found

The dataset used for hate speech detection on Twitter

The dataset used for hate speech detection on Twitter

The dataset used for hate speech detection on Twitter

The dataset used for hate speech detection on Twitter

The FRENK Dataset is a collection of Slovene and English comments annotated for hate speech.

The Wikipedia Hate Speech Dataset is a collection of user comments annotated for hate speech.

The Reddit Hate Detection Dataset is a collection of Reddit comments annotated for hate speech.

The Gab Hate Corpus is a collection of 27k posts annotated for hate speech.

The PEACE dataset is a collection of social media posts and comments annotated for hate speech.

The dataset contains tweets expressing anti-Asian hate and countering hate speeches to support Asian ethnicity amidst COVID-19.

The PAN Profiling Hate Speech Spreader Task contains a dataset in English and Spanish, whose samples were collected from Twitter.

CREHate is a cross-cultural English hate speech dataset comprising 1,580 posts from five English-speaking countries—AU, GB, SG, US, and ZA.

The HateXplain dataset, containing 20,000 posts from Gab and Twitter, annotated with hate/offensive/normal labels.

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 dataset for Bengali language

A dataset containing 2,026 Facebook posts collected from Twitter, labeled as offensive or non-offensive.

The dataset used in the paper is a collection of tweets with hate speech and offensive language, annotated with their sentiment.

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).