Sign inGet started
Dataset · Hugging Face

mirobody/MedHall-Bench

MedHall-Bench MedHall-Bench is a field-grounded hallucination detection benchmark for medical AI assistants. It decomposes each clinical response into verifiable structured fields (dose value, unit, reference range, ICD/LOINC code, entity relation, ...) and evaluates AI outputs via per-field programmatic matching in addition to sentence-level LLM-as-Judge. Designed for use with the HolyEval framework. ⚠️ Research use only. Content is for benchmarking AI agents and should not be… See the full description on the dataset page: https://huggingface.co/datasets/mirobody/MedHall-Bench.

Author / organizationmirobody
License (as declared)apache-2.0
Downloads4.6K (as reported by Hugging Face)
Likes6
Created20 April 2026
Last updated at source24 August 2026
medicalhealthhallucinationevaluationtheta-health
Embed this entry
<iframe src="https://silytics.si/embed/item/a509c5e3-d898-4bdb-840b-96c44e7e5d6f" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from mirobody

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 Information may be incomplete or out of date.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.