datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
korean-hate-speechreference: https://github.com/kocohub/korean-hate-speech
@inproceedings{moon-etal-2020-beep,
title = "{BEEP}! {K}orean Corpus of Online News Comments for Toxic Speech Detection",
author = "Moon, Jihyung and
Cho, Won Ik and
Lee, Junbum",
booktitle = "Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics"… See the full description on the dataset page: https://huggingface.co/datasets/nayohan/korean-hate-speech.hate_speech_offensive
Dataset Card for [Dataset Name]
Dataset Summary
An annotated dataset for hate speech and offensive language detection on tweets.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
English (en)
Dataset Structure
Data Instances
{
"count": 3,
"hate_speech_annotation": 0,
"offensive_language_annotation": 0,
"neither_annotation": 3,
"label": 2, # "neither"
"tweet": "!!! RT @mayasolovely: As a woman you… See the full description on the dataset page: https://huggingface.co/datasets/tdavidson/hate_speech_offensive.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 as… See the full description on the dataset page: https://huggingface.co/datasets/ucberkeley-dlab/measuring-hate-speech.kmhas_korean_hate_speechThe K-MHaS (Korean Multi-label Hate Speech) dataset contains 109k utterances from Korean online news comments labeled with 8 fine-grained hate speech classes or Not Hate Speech class.
The fine-grained hate speech classes are politics, origin, physical, age, gender, religion, race, and profanity and these categories are selected in order to reflect the social and historical context.hatexplainHatexplain is the first benchmark hate speech dataset covering multiple aspects of the issue. Each post in the dataset is annotated from three different perspectives: the basic, commonly used 3-class classification (i.e., hate, offensive or normal), the target community (i.e., the community that has been the victim of hate speech/offensive speech in the post), and the rationales, i.e., the portions of the post on which their labelling decision (as hate, offensive or normal) is based.korean-hate-speechHello AI-it!
tweets_hate_speech_detection
Dataset Card for Tweets Hate Speech Detection
Dataset Summary
The objective of this task is to detect hate speech in tweets. For the sake of simplicity, we say a tweet contains hate speech if it has a racist or sexist sentiment associated with it. So, the task is to classify racist or sexist tweets from other tweets.
Formally, given a training sample of tweets and labels, where label ‘1’ denotes the tweet is racist/sexist and label ‘0’ denotes the tweet is not… See the full description on the dataset page: https://huggingface.co/datasets/tweets-hate-speech-detection/tweets_hate_speech_detection.hate_speech18These files contain text extracted from Stormfront, a white supremacist forum. A random set of
forums posts have been sampled from several subforums and split into sentences. Those sentences
have been manually labelled as containing hate speech or not, according to certain annotation guidelines.korean_hate_speech_copyThe K-MHaS (Korean Multi-label Hate Speech) dataset contains 109k utterances from Korean online news comments labeled with 8 fine-grained hate speech classes or Not Hate Speech class.
The fine-grained hate speech classes are politics, origin, physical, age, gender, religion, race, and profanity and these categories are selected in order to reflect the social and historical context.korean_hate_speech_mergehate_speech_offensive
hate_speech_offensive
This dataset is a version from hate_speech_offensive, splitted into train and test set.
hate_speech18korea_hate_speechK-MHaS는 추가 레이블링 필수
hate_speech_twitter
Dataset Card for Dataset Name
The dataset is designed to analyze and address hate speech within online platforms. It consists of two sets: the training and testing sets. The two datasets have been labeled and categorized instances of hate speech into nine distinct categories.
Dataset Description
The dataset comprises three key features: tweets, labels (with hate speech denoted as 1 and non-hate speech as 0), and categories (behavior, class, disability, ethnicity, gender… See the full description on the dataset page: https://huggingface.co/datasets/thefrankhsu/hate_speech_twitter.roman_urdu_hate_speech
Dataset Card for roman_urdu_hate_speech
Dataset Summary
The Roman Urdu Hate-Speech and Offensive Language Detection (RUHSOLD) dataset is a Roman Urdu dataset of tweets annotated by experts in the relevant language. The authors develop the gold-standard for two sub-tasks. First sub-task is based on binary labels of Hate-Offensive content and Normal content (i.e., inoffensive language). These labels are self-explanatory. The authors refer to this sub-task as coarse-grained… See the full description on the dataset page: https://huggingface.co/datasets/community-datasets/roman_urdu_hate_speech.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.hate_speech_labeledkmhas_korean_hate_speechThe K-MHaS (Korean Multi-label Hate Speech) dataset contains 109k utterances from Korean online news comments labeled with 8 fine-grained hate speech classes or Not Hate Speech class.
The fine-grained hate speech classes are politics, origin, physical, age, gender, religion, race, and profanity and these categories are selected in order to reflect the social and historical context.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.task905_hate_speech_offensive_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task905_hate_speech_offensive_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task905_hate_speech_offensive_classification.hate_speech_filipino Contains 10k tweets (training set) that are labeled as hate speech or non-hate speech. Released with 4,232 validation and 4,232 testing samples. Collected during the 2016 Philippine Presidential Elections.hate_speech_portuguesePortuguese dataset for hate speech detection composed of 5,668 tweets with binary annotations (i.e. 'hate' vs. 'no-hate').bn_hate_speech
Dataset Card for Bengali Hate Speech Dataset
Dataset Summary
The Bengali Hate Speech Dataset is a Bengali-language dataset of news articles collected from various Bengali media sources and categorized based on the type of hate in the text. The dataset was created to provide greater support for under-resourced languages like Bengali on NLP tasks, and serves as a benchmark for multiple types of classification tasks.
Supported Tasks and Leaderboards
topic… See the full description on the dataset page: https://huggingface.co/datasets/rezacsedu/bn_hate_speech.twitter_hate_speech_classificationMLMA_hate_speech
Disclaimer
This is a hate speech dataset (in Arabic, French, and English).
Offensive content that does not reflect the opinions of the authors.
Dataset of our EMNLP 2019 Paper (Multilingual and Multi-Aspect Hate Speech Analysis)
For more details about our dataset, please check our paper:
@inproceedings{ousidhoum-etal-multilingual-hate-speech-2019,
title = "Multilingual and Multi-Aspect Hate Speech Analysis",
author = "Ousidhoum, Nedjma… See the full description on the dataset page: https://huggingface.co/datasets/nedjmaou/MLMA_hate_speech.codemixed-id-hate-speech
Code-mixed Indonesian Hate Speech Dataset
Manually annotated hate speech dataset for Indonesian-Javanese and
Indonesian-Sundanese code-mixed text, enriched with LLM-generated augmentations.
multilingual-hatespeech-dataset
[!NOTE]
Dataset origin: https://www.kaggle.com/datasets/wajidhassanmoosa/multilingual-hatespeech-dataset
Description
This dataset contains hate speech text with labels where 0 represents non-hate and 1 shows hate
texts also the data from different languages needed to be identified as a corresponding
correct language. The following are the languages in the dataset with the numbers corresponding to that language.
(1 Arabic)(2 English)(3 Chinese)(4 French) (5 German) (6 Russian)(7… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/multilingual-hatespeech-dataset.hate_speech_pl
Dataset Card for HateSpeechPl
Dataset Summary
The dataset was created to analyze the possibility of automating the recognition of hate speech in Polish. It was collected from the Polish forums and represents various types and degrees of offensive language, expressed towards minorities.
The original dataset is provided as an export of MySQL tables, what makes it hard to load. Due to that, it was converted to CSV and put to a Github repository.
Supported Tasks… See the full description on the dataset page: https://huggingface.co/datasets/community-datasets/hate_speech_pl.Hate-Speech-Tweetscontextualized_hate_speech
Contextualized Hate Speech: A dataset of comments in news outlets on Twitter
Dataset Summary
This dataset is a collection of tweets that were posted in response to news articles from five specific Argentinean news outlets: Clarín, Infobae, La Nación, Perfil and Crónica, during the COVID-19 pandemic. The comments were analyzed for hate speech across eight different characteristics: against women, racist content, class hatred, against LGBTQ+ individuals, against physical… See the full description on the dataset page: https://huggingface.co/datasets/piuba-bigdata/contextualized_hate_speech.