{
  "name": "HRBench4K",
  "release_date": "2026-05-15",
  "subsets": {
    "main": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_image_start"
      ],
      "task_type": "multiple_choice_qa",
      "score_pipeline": [
        "rule-match",
        "llm-match"
      ],
      "score_protocol": {
        "reference": "vlmevalkit@vlmeval/dataset/image_mcq.py:1302-1364 HRBenchDataset.evaluate -> mcq_vanilla_eval (can_infer + GPT extractor; DEFAULT_JUDGE ['chatgpt-0125','gpt-4-0125'] @vlmeval/dataset/image_mcq.py:1303) + report_acc_hrbench @vlmeval/dataset/utils/hrbench.py:7-29 (per-cycle x category accuracy, averaged over 4 cycles). HR-Bench authors (DreamMr/HR-Bench) vendor VLMEvalKit, so this is tier-1. Cross-check: lmms-eval hrbench also GPT-extracts (lmms_eval/tasks/hrbench/utils.py:24)",
        "note": "Official report averages accuracy per cycle_category (0-3) and per category (single/cross); the mm-eval copy ships all 4 rotations as rows (800 = 4 x 200, cycle_category field preserved in extra), so overall per-sample accuracy equals the official 'all' average (cycles partition the file); the per-category/per-cycle breakdown itself is not reproduced per-sample. Note this is NOT CircularEval — each rotation counts independently."
      },
      "prompt_template": "<image>Question: {{ question }}\nOptions:\nA. {{ options.A }}\nB. {{ options.B }}\nC. {{ options.C }}\nD. {{ options.D }}\nPlease select the correct answer from the options above. \n",
      "mapping_from_source": {
        "media": {
          "from": "image",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "index"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "category": {
            "from": "category"
          },
          "A": {
            "from": "A"
          },
          "B": {
            "from": "B"
          },
          "C": {
            "from": "C"
          },
          "D": {
            "from": "D"
          },
          "cycle_category": {
            "from": "cycle_category"
          }
        },
        "source": {
          "format": "json",
          "url": {
            "hrbench_4k": "https://huggingface.co/datasets/DreamMr/HR-Bench"
          }
        }
      },
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_mcq.py (ImageMCQDataset.build_prompt — Question:/Options:/A.B.C.D./'Please select the correct answer from the options above. ' trailer; HR-Bench authors' eval at https://github.com/DreamMr/HR-Bench/blob/main/hrbench/vlmeval/dataset/image_mcq.py inherits this via HRBenchDataset)",
        "notes": "Tier 1/3: HR-Bench authors use VLMEvalKit's ImageMCQDataset.build_prompt; mm-eval prompt reproduces it byte-for-byte. lmms-eval's hrbench_doc_to_text uses a different trailer ('Answer the option letter directly.') and is not the canonical reference."
      }
    }
  }
}