{
  "name": "MMVP",
  "release_date": "2024-01-01",
  "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:249-324 (ImageMCQDataset.evaluate_heuristic) -> vlmevalkit@vlmeval/dataset/utils/multiple_choice.py:475-508 mcq_vanilla_eval: can_infer rule prefetch, then GPT extractor (extract_answer_from_item @vlmeval/dataset/utils/multiple_choice.py:359-407) maps verbose output to a letter, rule-compare vs GT; MMVP registered @vlmeval/dataset/image_mcq.py:121; headline via report_acc_MMVP @vlmeval/dataset/utils/multiple_choice.py:613-622: pairs of consecutive rows (2i, 2i+1) — 'Overall' counts a pair only if BOTH hits are 1",
        "note": "Official headline 'Overall' is PAIR accuracy (a CLIP-blind pair scores only if both questions are correct); a per-sample scorer reports per-question accuracy, systematically higher. Pair = consecutive ids (mm-eval ids 1..300, pair k = ids 2k-1 & 2k). GT stored as lowercase parenthesized letters '(a)'/'(b)' with options in options_text ('(a) Open (b) Closed'); matcher must normalize case/parens."
      },
      "prompt_template": "<image>{{ question }} {{ options.options_text }}",
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://github.com/tsb0601/MMVP/blob/main/scripts/evaluate_mllm.py (cur_prompt = row['Question'] + ' ' + row['Options'])",
        "notes": "Tier 1: MMVP official evaluation prompt per tsb0601/MMVP/scripts/evaluate_mllm.py line 59: cur_prompt = row['Question'] + ' ' + row['Options']. No trailer is appended by the official script. Options field uses '(a) Open (b) Closed' inline format from the source CSV/HF parquet."
      },
      "mapping_from_source": {
        "media": {
          "from": "image",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "Index"
        },
        "question": {
          "from": "Question"
        },
        "answer": {
          "from": "Correct Answer",
          "optional": true
        },
        "extra": {
          "options_text": {
            "from": "Options",
            "note": "Pre-rendered options string in '(a) opt1 (b) opt2' format from MMVP source."
          }
        },
        "source": {
          "format": "huggingface",
          "url": {
            "test": "https://huggingface.co/datasets/lmms-lab-eval/MMVP"
          }
        }
      }
    }
  }
}