Dataset · Hugging Face

EleutherAI/truthful_qa_mc

Name: truthful_qa_mc
Creator: EleutherAI
License: apache-2.0
Keywords: task_categories:multiple-choice, task_categories:question-answering, task_ids:multiple-choice-qa, task_ids:language-modeling, task_ids:open-domain-qa, annotations_creators:expert-generated, language_creators:expert-generated, multilinguality:monolingual, source_datasets:original, language:en, license:apache-2.0, size_categories:n<1K, modality:text, library:datasets, library:mlcroissant

TruthfulQA-MC is a benchmark to measure whether a language model is truthful in generating answers to questions. The benchmark comprises 817 questions that span 38 categories, including health, law, finance and politics. Questions are crafted so that some humans would answer falsely due to a false belief or misconception. To perform well, models must avoid generating false answers learned from imitating human texts.

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Author / organization	EleutherAI
License (as declared)	apache-2.0
Downloads	343 (as reported by Hugging Face)
Likes	11
Created	29 April 2023
Last updated at source	29 April 2023

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