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"name": "GQA-Spatial",
"release_date": "2019-02-25",
"subsets": {
"main": {
"language": [
"en"
],
"modalities": [
"single_image_start"
],
"task_type": "vqa",
"prompt_template": "<image>{{ question }}\\nAnswer the question using a single word or phrase.",
"prompt_template_source": {
"origin": "official",
"reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/gqa/utils.py (gqa_doc_to_text — canonical short-answer)",
"notes": "Tier 4: lmms-eval GQA canonical evaluation prompt, applied unchanged to the spatial subset of GQA testdev_balanced. The SAT paper (arXiv 2412.07755) reports 'GQA-Sp (Hudson & Manning, 2019b)' without specifying the spatial filter; this subset is built by filtering official testdev_balanced rows whose types.semantic=='rel' OR types.detailed.startswith('position'), yielding 5952 spatial-relation rows. Filter rule and provenance documented here for auditability."
},
"mapping_from_source": {
"media": {
"from": "media",
"type": "list",
"min_items": 1,
"max_items": 1
},
"id": {
"from": "id"
},
"question": {
"from": "question"
},
"answer": {
"from": "answer",
"optional": true
},
"extra": {
"imageId": {
"from": "imageId"
},
"fullAnswer": {
"from": "fullAnswer"
},
"structural": {
"from": "structural"
},
"semantic_type": {
"from": "semantic_type"
},
"detailed": {
"from": "detailed"
}
},
"source": {
"format": "huggingface",
"url": {
"testdev": "https://huggingface.co/datasets/lmms-lab/GQA (testdev_balanced; spatial-relation filter applied — see prompt_template_source notes)"
}
}
}
}
}
} |