{
  "name": "VisualMRC",
  "release_date": "2026-05-26",
  "subsets": {
    "main": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_image_start"
      ],
      "task_type": "open_ended_qa",
      "score_pipeline": {
        "unsupported": "caption-metrics",
        "reason": "requires corpus-level caption metrics (CIDEr/BLEU/ROUGE/BERTScore); use the benchmark's own evaluator"
      },
      "score_params": {
        "metrics": [
          "rouge_l",
          "bleu4",
          "meteor",
          "cider"
        ]
      },
      "score_protocol": {
        "reference": "Official VisualMRC paper (arXiv:2101.11272, AAAI 2021, 'Evaluation metrics' §: 'we used BLEU, METEOR, ROUGE-L, and CIDEr' following generative MRC/captioning; BERTScore additionally reported in result tables; ROUGE-L used for model selection). No lmms-eval or VLMEvalKit task exists (re-confirmed 2026-07-07: no visualmrc task in either local clone).",
        "note": "Generative reading-comprehension answers graded with captioning-style reference metrics over a single reference answer per question; paper declares no single headline — ROUGE-L listed first here since the paper selects models by ROUGE-L. Official tables also report BERTScore (now representable in the caption_metrics enum but kept out of params to match the paper's core four). metadata.json prompt citation of lmms_eval/tasks/visualmrc is bogus — must be corrected."
      },
      "prompt_template": "<image>{{ question }}",
      "mapping_from_source": {
        "media": {
          "from": "image",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "extra": {
          "qa_idx": {
            "from": "qa_idx"
          },
          "url": {
            "from": "url"
          },
          "screenshot_filename": {
            "from": "screenshot_filename"
          },
          "image_filename": {
            "from": "image_filename"
          }
        },
        "source": {
          "format": "huggingface",
          "url": {
            "test": "https://huggingface.co/datasets/jeepliu/VisualMRC"
          }
        }
      },
      "prompt_template_source": {
        "origin": "fallback",
        "reference": "T2",
        "notes": "Tier 5: no higher tier publishes a prompt. T1: nttmdlab-nlp/VisualMRC is a data-only repo (AAAI 2021; LayoutT5/LayoutBART fine-tuned seq2seq baselines, pre-LLM, no prompt template); T2: no prompt column in jeepliu/VisualMRC; T3: no VLMEvalKit visualmrc; T4: no lmms-eval tasks/visualmrc (clone @047ec52). Bare-question T2 chosen because answers are abstractive full sentences graded with reference text metrics — a short-answer cue would suppress the expected long-form output."
      }
    }
  }
}