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Text · dataset · 2026

LuckerZ/MoGround

Listed in Hugging Face Datasets

Description

MoGround Three resources for measuring modality distraction: a model answers a question correctly from one modality alone, then answers it wrongly once answer-irrelevant context arrives in the other modality. Every item is checked to be answerable from exactly one modality, so the distraction it measures cannot be explained by the question being unanswerable. pool items what it is moground_base 3418 oracle-certified single-modality items over four visual domains, with… See the full description on the dataset page: huggingface.co/datasets/LuckerZ/MoGround.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsLuckerZ/MoGround7 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:multiple-choicesource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
concepts[task].hf_task:visual-question-answeringsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0