ucberkeley-dlab/measuring-hate-speech
Dataset card for Measuring Hate Speech This is a public release of the dataset described in Kennedy et al. (2020) and Sachdeva et al. (2022), consisting of 39,565 comments annotated by 7,912 annotators, for 135,556 combined rows. The primary outcome variable is the "hate speech score" but the 10 constituent ordinal labels (sentiment, (dis)respect, insult, humiliation, inferior status, violence, dehumanization, genocide, attack/defense, hate speech benchmark) can also be treated… See the full description on the dataset page: https://huggingface.co/datasets/ucberkeley-dlab/measuring-hate-speech.
| Author / organization | ucberkeley-dlab |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 4.8K (as reported by Hugging Face) |
| Likes | 56 |
| Created | 2 March 2022 |
| Last updated at source | 28 December 2025 |
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Recent changes
- 17 Oct 2026 Description: Dataset card for Measuring Hate Speech This is a public release of the dataset described in Kennedy et al. (2020) and Sachdeva et al. (2022), consisting of 39,565 comments annotated by 7,912 annotators, for 135,556 combined rows. The primar → Dataset card for Measuring Hate Speech This is a public release of the dataset described in Kennedy et al. (2020) and Sachdeva et al. (2022), consisting of 39,565 comments annotated by 7,912 annotators, for 135,556 combined rows. The primar
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.