Dataset · Hugging Face

mteb/BrazilianToxicTweetsClassification

Name: BrazilianToxicTweetsClassification
Creator: mteb
License: cc-by-sa-4.0
Keywords: task_categories:text-classification, task_ids:sentiment-analysis, task_ids:sentiment-scoring, task_ids:sentiment-classification, task_ids:hate-speech-detection, annotations_creators:expert-annotated, multilinguality:monolingual, source_datasets:mteb/BrazilianToxicTweetsClassification, language:por, license:cc-by-sa-4.0, size_categories:10K<n<100K, format:parquet, format:optimized-parquet, modality:text, library:datasets

BrazilianToxicTweetsClassification An MTEB dataset Massive Text Embedding Benchmark ToLD-Br is the biggest dataset for toxic tweets in Brazilian Portuguese, crowdsourced by 42 annotators selected from a pool of 129 volunteers. Annotators were selected aiming to create a plural group in terms of demographics (ethnicity, sexual orientation, age, gender). Each tweet was labeled by three annotators in 6 possible categories: LGBTQ+phobia, Xenophobia, Obscene, Insult… See the full description on the dataset page: https://huggingface.co/datasets/mteb/BrazilianToxicTweetsClassification.

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Author / organization	mteb
License (as declared)	cc-by-sa-4.0
Downloads	5.4K (as reported by Hugging Face)
Likes	1
Created	9 September 2025
Last updated at source	24 February 2026

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