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Update metadata.json

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  1. metadata.json +62 -0
metadata.json ADDED
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+ {
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+ "name": "GQA-Spatial",
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+ "release_date": "2019-02-25",
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+ "subsets": {
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+ "main": {
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+ "language": [
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+ "en"
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+ ],
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+ "modalities": [
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+ "single_image_start"
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+ ],
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+ "task_type": "vqa",
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+ "prompt_template": "<image>{{ question }}\\nAnswer the question using a single word or phrase.",
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+ "prompt_template_source": {
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+ "origin": "official",
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+ "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/gqa/utils.py (gqa_doc_to_text — canonical short-answer)",
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+ "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."
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+ },
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+ "mapping_from_source": {
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+ "media": {
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+ "from": "media",
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+ "type": "list",
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+ "min_items": 1,
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+ "max_items": 1
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+ },
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+ "id": {
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+ "from": "id"
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+ },
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+ "question": {
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+ "from": "question"
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+ },
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+ "answer": {
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+ "from": "answer",
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+ "optional": true
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+ },
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+ "extra": {
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+ "imageId": {
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+ "from": "imageId"
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+ },
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+ "fullAnswer": {
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+ "from": "fullAnswer"
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+ },
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+ "structural": {
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+ "from": "structural"
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+ },
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+ "semantic_type": {
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+ "from": "semantic_type"
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+ },
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+ "detailed": {
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+ "from": "detailed"
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+ }
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+ },
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+ "source": {
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+ "format": "huggingface",
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+ "url": {
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+ "testdev": "https://huggingface.co/datasets/lmms-lab/GQA (testdev_balanced; spatial-relation filter applied — see prompt_template_source notes)"
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+ }
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+ }
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+ }
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+ }
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+ }
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+ }