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mteb/BrazilianToxicTweetsClassification

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.

sourceHugging Facecc-by-sa-4.0updated 7mo agoView on Hugging Face

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rooteval.yaml

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1name: BrazilianToxicTweetsClassification2description: 'ToLD-Br is the biggest dataset for toxic tweets in Brazilian Portuguese,3  crowdsourced by 42 annotators selected from a pool of 129 volunteers. Annotators4  were selected aiming to create a plural group in terms of demographics (ethnicity,5  sexual orientation, age, gender). Each tweet was labeled by three annotators in6  6 possible categories: LGBTQ+phobia, Xenophobia, Obscene, Insult, Misogyny and Racism.'7evaluation_framework: mteb8tasks:9- id: BrazilianToxicTweetsClassification10- id: BrazilianToxicTweetsClassification_default_test11  config: default12  split: test13