datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hate_speech_offensive
hate_speech_offensive
This dataset is a version from hate_speech_offensive, splitted into train and test set.
hate_speech18hatespeech_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.hate_speech_slovak
Slovak Hate Speech and Offensive Language Database
The dataset contains posts from a social network with human annotations.
Annotations
The posts are marked 1 if the post contain hateful or offensive language, 0 otherwise.
Dataset Creation
The source data were scraped from a social network from a selection of public pages for sport, politics or general discussion. The gathered data were cleaned from span with a text clustering.
The posts were annotated by a… See the full description on the dataset page: https://huggingface.co/datasets/TUKE-KEMT/hate_speech_slovak.ALIA-es-discriminative-hate-speech
Dataset Introduction
The ALIA Spanish Discriminative Hate Speech Corpus is a large-scale Spanish dataset for hate-speech detection built from curated social-media comments and automatically annotated using a multi-expert LLM pipeline with Fusion of Experts (FoE)[1].
The release contains:
228,708 instances
Spanish comments from YouTube and TikTok
Per-expert predictions and explanations from three LLM experts
Final fused outputs (foe_class, foe_score) for discriminative… See the full description on the dataset page: https://huggingface.co/datasets/SINAI/ALIA-es-discriminative-hate-speech.hate_speechhate_speech_dataset
32.579 texts in total, 14.012 NOT hateful texts and 18.567 HATEFUL texts
All duplicate values were removed
Split using sklearn into 80% train and 20% temporary test (stratified label). Then split the test set using 0.50% test and validation (stratified label)
Split: 80/10/10
Train set label distribution: 0 ==> 11.210, 1 ==> 14.853, 26.063 in total
Validation set label distribution: 0 ==> 1.401, 1 ==> 1.857, 3.258 in total
Test set label distribution: 0 ==> 1.401, 1 ==> 1.857, 3.258 in… See the full description on the dataset page: https://huggingface.co/datasets/christinacdl/hate_speech_dataset.hate_speech_offensiveThis is a version of Hate Speech Offensive (https://huggingface.co/datasets/hate_speech_offensive) with a train, validation, and test split. https://arxiv.org/abs/1703.04009
HatespeechTweetsbinary_hate_speechhate_speech_dataset_new
44.246 texts in total, 21.493 NOT hateful texts and 22.753 HATE texts
All duplicate values were removed
Split using sklearn into 80% train and 20% temporary test (stratified label). Then split the test set using 0.50% test and validation (stratified label)
Split: 80/10/10
Train set label distribution: 0 ==> 17.194, 1 ==> 18.202, 35.396 in total
Validation set label distribution: 0 ==> 2.150, 1 ==> 2.275, 4.425 in total
Test set label distribution: 0 ==> 2.149, 1 ==> 2.276, 4.425 in total… See the full description on the dataset page: https://huggingface.co/datasets/christinacdl/hate_speech_dataset_new.hate_speech_2_classeshate-speech-indoDataset Collection from the following sources:
id-multi-label-hate-speech-and-abusive-language-detection
HateSpeechcontextual-hate-speech-conversations
Adversarial Content Moderation Evaluation Dataset
Dataset Summary
A dataset of 400 multi-turn conversations designed to evaluate LLM-based content
moderation supervisors against graduated adversarial escalation. Each adversarial
conversation consists of a neutral-to-harmful buildup arc culminating in an explicit
hate speech seed tweet. Benign conversations mirror the same structure using neutral
content, eliminating the format confounds present in prior single-turn… See the full description on the dataset page: https://huggingface.co/datasets/sherinechally/contextual-hate-speech-conversations.