Dataset · Hugging Face

MINTLABJHUANU/NoRA

Name: NoRA
Creator: MINTLABJHUANU
License: cc-by-nc-4.0
Keywords: task_categories:image-text-to-text, task_categories:visual-question-answering, task_categories:text-generation, language:en, license:cc-by-nc-4.0, size_categories:1K<n<10K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2606.04806, region:us, normative-competence

NoRA Evaluating Grounded Reasonableness in Visual First-person Normative Action Reasoning Website | Paper | Code and model interface NoRA evaluates the actions a model proposes, the facts it observes, and the reasons connecting them in first-person scenes. Dataset Split Annotations Clips Facts Reasons Actions train LLMSilver: model-annotated 1,230 8,731 7,101 4,423 test HumanGold: human-annotated 190 1,324 1,007 635 HumanGold contains human… See the full description on the dataset page: https://huggingface.co/datasets/MINTLABJHUANU/NoRA.

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Author / organization	MINTLABJHUANU
License (as declared)	cc-by-nc-4.0
Downloads	273 (as reported by Hugging Face)
Likes	1
Created	5 May 2026
Last updated at source	9 October 2026

normative-competencenormative-reasoningegocentric-videomultimodal-reasoningstructured-annotationgrounded-reasonableness

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