name: BrazilianToxicTweetsClassification
description: '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, Misogyny and Racism.'
evaluation_framework: mteb
tasks:
- id: BrazilianToxicTweetsClassification
- id: BrazilianToxicTweetsClassification_default_test
  config: default
  split: test