Sign inGet started
Dataset · Hugging Face

dskar/FActScore

Inspired by the dataset from FActScore. With this dataset, LLMs are given the task of writing biographies which can be validated for factual accuracy against Wikipedia articles. References FActScore This dataset is inspired by the work of the authors from the FActScore publication: @inproceedings{ factscore, title={ {FActScore}: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation }, author={ Min, Sewon and Krishna, Kalpesh… See the full description on the dataset page: https://huggingface.co/datasets/dskar/FActScore.

Author / organizationdskar
License (as declared)mit
Downloads131 (as reported by Hugging Face)
Likes1
Created30 July 2025
Last updated at source30 July 2025
Embed this entry
<iframe src="https://silytics.si/embed/item/bb51c9b5-3601-49a6-a374-d1b505a6f6b8" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Recent changes

  • 16 Oct 2026 Description: Inspired by the dataset from FActScore. With this dataset, LLMs are given the task of writing biographies which can be validated for factual accuracy against Wikipedia articles. References FActScore This dataset is inspired by the work of t → Inspired by the dataset from FActScore. With this dataset, LLMs are given the task of writing biographies which can be validated for factual accuracy against Wikipedia articles. References FActScore This dataset is inspired by the work of t

Changes detected by Silytics between refreshes of the source.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.