Sign inGet started
Dataset ยท Hugging Face

apple/hat

HAT: Hallucination Annotation for Translation ๐Ÿงญ Table of Contents Overview Usage Data Creation Process Data Statistics Dataset Structure Paper Abstract Citation License ๐Ÿ“˜ Overview HAT (Hallucination Annotation for Translation) is a large-scale dataset for hallucination detection in machine translation (MT).It is released as part of our publication at ACL 2026 (paper). 350,959 span-level annotated samples 38 language pairs ~8,000-10,000โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/apple/hat.

Author / organizationapple
License (as declared)cc-by-nc-nd-4.0
Downloads341 (as reported by Hugging Face)
Likes21
Created8 July 2026
Last updated at source8 July 2026
machine-translationhallucination-detectionmt-evaluation
Embed this entry
<iframe src="https://silytics.si/embed/item/d87c5182-c9cd-4a42-b2a5-656714973816" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from apple

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 Information may be incomplete or out of date.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.