| 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 |
|
|
