Sign inGet started
Dataset · Hugging Face

mteb/told-br

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/told-br.

Author / organizationmteb
License (as declared)cc-by-sa-4.0
Downloads577 (as reported by Hugging Face)
Likes3
Created29 October 2024
Last updated at source4 May 2025
mtebtext
Embed this entry
<iframe src="https://silytics.si/embed/item/700f85eb-733f-40ab-99d5-2fa9bc391a15" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from mteb

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.