projecte-aina/veritasQA
Dataset Card for VeritasQA VeritasQA is a context- and time-independent QA benchmark for the evaluation of truthfulness in Language Models. Dataset Summary VeritasQA is a context- and time-independent truthfulness benchmark built with multilingual transferability in mind. It is intended to be used to evaluate Large Language Models on truthfulness in a zero-shot setting. VeritasQA comprises 353 question-answer pairs inspired by common misconceptions and falsehoods… See the full description on the dataset page: https://huggingface.co/datasets/projecte-aina/veritasQA.
| Author / organization | projecte-aina |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 412 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 9 December 2024 |
| Last updated at source | 29 September 2025 |
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- 17 Oct 2026 Description: Dataset Card for VeritasQA VeritasQA is a context- and time-independent QA benchmark for the evaluation of truthfulness in Language Models. Dataset Summary VeritasQA is a context- and time-independent truthfulness benchmark built with multi → Dataset Card for VeritasQA VeritasQA is a context- and time-independent QA benchmark for the evaluation of truthfulness in Language Models. Dataset Summary VeritasQA is a context- and time-independent truthfulness benchmark built with multi
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