{
  "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"
          }
        }
      }
    }
  }
}