evalitahf/hatespeech_detection
HaSpeeDe2 The HaSpeeDe2 dataset collects 8,012 tweets and 500 news headlines annotated for the presence of hate speech, stereotypes and nominal utterance. The dataset has been used in the context of the HaSpeeDe task (http://www.di.unito.it/~tutreeb/haspeede-evalita20/index.html), organized as part of the EVALITA 2020 evaluation campaign (http://www.evalita.it/2020). In order to meet the GDPR requirements, texts have been pseudonymized replacing all original IDs in both datasets… See the full description on the dataset page: https://huggingface.co/datasets/evalitahf/hatespeech_detection.
| Author / organization | evalitahf |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 666 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 1 August 2024 |
| Last updated at source | 1 August 2024 |
Popularity, last 3 days
666 now (+9 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- nickprock/archai-jev-nesso-4b-itaModel · used to train
More from evalitahf
- evalitahf/admission_testDataset
- evalitahf/word_in_contextDataset
- evalitahf/sentiment_analysisDataset
- evalitahf/faqDataset
- evalitahf/textual_entailmentDataset
- evalitahf/lexical_substitutionDataset
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 Information may be incomplete or out of date.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.