Dataset · Hugging Face

truthfulqa/truthful_qa

Name: truthful_qa
Creator: truthfulqa
License: apache-2.0
Keywords: task_categories:multiple-choice, task_categories:text-generation, 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:1K<n<10K, format:parquet, modality:text

Dataset Card for truthful_qa Dataset Summary TruthfulQA 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.… See the full description on the dataset page: https://huggingface.co/datasets/truthfulqa/truthful_qa.

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Author / organization	truthfulqa
License (as declared)	apache-2.0
Downloads	134.7K (as reported by Hugging Face)
Likes	297
Created	8 June 2022
Last updated at source	4 January 2024

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