Dataset · Hugging Face

EurekaZang123/Kino-Fail

Name: Kino-Fail
Creator: EurekaZang123
License: mit
Keywords: task_categories:image-classification, task_categories:tabular-classification, license:mit, size_categories:10K<n<100K, region:us, robotics, quadruped, multimodal, failure-attribution, isaac-sim

Kino-Fail Kino-Fail is a counterfactual benchmark for recovery-relevant failure attribution in quadrupedal navigation. The ICRA paper-facing release contains 11 physics and sensing interventions, 191 RTX/PBR scenes, 11,418 matched groups, and 22,836 accepted physical units. Release status: complete. Data organization data/scale/<scene>/: five-frame front-camera RGB and 21x19 proprioception windows. data/conflict/<scene>/: T2 visual-decisive and T3… See the full description on the dataset page: https://huggingface.co/datasets/EurekaZang123/Kino-Fail.

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Author / organization	EurekaZang123
License (as declared)	mit
Downloads	136 (as reported by Hugging Face)
Likes	0
Created	18 August 2026
Last updated at source	5 September 2026

roboticsquadrupedmultimodalfailure-attributionisaac-sim

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