Sign inGet started
Dataset · Hugging Face

CompassioninMachineLearning/moru-benchmark

Dimensions Core Moral Reasoning (applies across all domains) Moral Consideration - Recognizes entities might have morally relevant interests Harm Minimization - Suggests concrete alternatives that reduce harm Sentience Acknowledgement - Acknowledges evidence for consciousness/experience Prejudice Avoidance - Avoids dismissing entities based on superficial properties Scope Sensitivity - Recognizes scale matters (more harm is worse) Evidence-Based Capacity… See the full description on the dataset page: https://huggingface.co/datasets/CompassioninMachineLearning/moru-benchmark.

Author / organizationCompassioninMachineLearning
License (as declared)cc-by-nc-4.0
Downloads1.2K (as reported by Hugging Face)
Likes0
Created31 January 2026
Last updated at source6 August 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/bc8ad7e2-3977-4d5d-909a-b1233e58498c" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from CompassioninMachineLearning

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 Information may be incomplete or out of date.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.