task_categories:question-answering language:en license:apache-2.0 size_categories:n<1K library:mlcroissant region:us croissant
---
license: apache-2.0
task_categories:
- question-answering
language:
- en
tags:
- croissant
size_categories:
- n<1K
---

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.

Supported Tasks and Leaderboards
[Needs More Information]

Languages
The text in the dataset is in English. The associated BCP-47 code is en.

Dataset Structure
Data Instances
Note: Both generation and multiple_choice configurations have the same questions.