tasksource/lewidi
lewidi Learning with Disagreements (LeWiDi, SemEval-2023 Task 11 and its 2025 edition): soft labels from every annotator. One config per dataset: md_agreement (offensiveness, 5 annotators), hs_brexit (hate speech, 6), armis (Arabic misogyny and sexism, 3), conv_abuse (abuse in user turns of chatbot dialogues, 3 or more), csc (sarcasm rated 1-6), mp (MultiPICo irony, multilingual) and varierrnli (NLI where each annotator may accept several labels). soft_label lists the share of… See the full description on the dataset page: https://huggingface.co/datasets/tasksource/lewidi.
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