34 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 FHM dataset, a multimodal framework for detecting hateful memes on social media.

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 MUTE dataset is a multimodal dataset for detecting hateful memes.

Automated hate speech detection and the problem of offensive language.

Tweet-BLM: A Hate Speech Dataset and Analysis of Black Lives Matter-related Microblogs on Twitter.

Hate speech detection has become a hot topic in recent years due to the exponential growth of offensive language in social media.

The Dynamic dataset, a collection of tweets generated using a human-and-model-in-the-loop process, containing challenging perturbations.

The Waseem dataset, a collection of tweets containing hate speech, with a focus on sexist and racist language.

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.

Korean Online Hate Speech Dataset for Multilabel Classification

The Hateful Memes Dataset consists of a training set of 8500 images, a dev set of 500 images & a test set of 1000 images. The meme text is present on the images, but also...