chore: import upstream snapshot with attribution
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{
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"benchmark": "DocVQA",
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"manifest_type": "id_split",
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"source_repo": "lmms-lab/DocVQA",
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"source_repo_type": "dataset",
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"source_url": "https://huggingface.co/datasets/lmms-lab/DocVQA",
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"source_revision": "539088ef8a8ada01ac8e2e6d4e372586748a265e",
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"source_config": "DocVQA",
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"source_split": "validation",
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"source_split_name": "docvqa_validation_10pct",
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"split_method": "10% subset sampled from the DocVQA validation split",
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"counts": {
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"train": 107,
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"val": 53,
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"test": 374
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},
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"item_fields": [
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"id",
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"questionId",
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"docId",
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"image_path",
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"ucsf_document_id",
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"ucsf_document_page_no",
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"topic",
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"source_dataset",
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"source_config",
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"source_split",
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"sample_seed"
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],
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"notes": [
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"This is a split manifest, not the full DocVQA payload.",
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"Materialize full CSV rows and image files before evaluation.",
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"This manifest corresponds to docvqa_validation_10pct.",
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"All released train/val/test items originate from a 10% subset of the official DocVQA validation split."
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]
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}
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