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"name": "OCRBench",
"release_date": "2026-07-07",
"subsets": {
"main": {
"language": [
"en"
],
"modalities": [
"single_image_start"
],
"task_type": "short_answer_qa",
"score_pipeline": [
"exact-match",
"rule-match"
],
"score_params": {
"string_match": "contains"
},
"score_protocol": {
"reference": "VLMEvalKit@vlmeval/dataset/utils/ocrbench.py:8-42 and lmms-eval@lmms_eval/tasks/ocrbench/utils.py:33-66 (both mirroring official Yuliang-Liu/MultimodalOCR eval) — lowercase, newline-normalized substring containment of ANY of the ground-truth alternatives in the prediction (answer is a list; VLMEvalKit ocrbench.py:29-42, lmms-eval utils.py:39-62); HME100k category is case-sensitive with all spaces stripped.",
"note": "Official headline is Final Score out of 1000 (sum of correct over 10 categories, VLMEvalKit ocrbench.py:44-60) = per-sample accuracy x1000. Re-converted 2026-07-07: answer now preserves the full official list of acceptable alternatives (148/1000 rows have >1; the earlier copy space-joined them into one unmatched string), and the official 10-way category (question_type) plus upstream source-dataset field are restored, enabling the per-category breakdown and the HME100k special case (source_dataset == 'HME100k': case-sensitive containment with all spaces stripped, lmms-eval utils.py:39-50) which the generic lowercase-contains rule does not itself apply."
},
"prompt_template": "<image>{{ question }}",
"prompt_template_source": {
"origin": "official",
"reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/ocrbench/utils.py (ocrbench_doc_to_text — bare question; OCR-specific evaluation handled at scoring)",
"notes": "Tier 4: lmms-eval OCRBench canonical evaluation prompt."
},
"mapping_from_source": {
"media": {
"from": "image",
"type": "list",
"min_items": 1,
"max_items": 1
},
"id": {
"from": "id",
"note": "Stringified 0-based row index of the official echo840/OCRBench test split (the source ships no id column); identical to the previously published ids."
},
"question": {
"from": "question"
},
"answer": {
"from": "answer",
"optional": true,
"note": "Kept as the full official list of acceptable alternatives (1-4 entries; 148/1000 rows have >1). Official graders score a hit when ANY alternative is contained in the prediction."
},
"extra": {
"question_type": {
"from": "question_type"
},
"source_dataset": {
"from": "dataset"
}
},
"source": {
"format": "json",
"url": {
"test": "https://huggingface.co/datasets/echo840/OCRBench"
}
}
}
}
}
} |