{
  "name": "MMVU",
  "release_date": "2025-01-01",
  "subsets": {
    "main": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_video_start"
      ],
      "task_type": "multiple_choice_qa",
      "score_pipeline": [
        "exact-match",
        "rule-match",
        "llm-judge"
      ],
      "score_protocol": {
        "reference": "official@github.com/yale-nlp/MMVU acc_evaluation.py + utils/eval_utils.py — GPT-4o extracts the final answer and outputs a binary correctness flag for BOTH multiple-choice and open-ended questions; lmms-eval@lmms_eval/tasks/mmvu/utils.py:144-300 — hybrid: deterministic rule matching first (letter/substring/numeric with 0.01 tolerance), GPT judge (binary, gpt-4o default) fallback for open-ended only.",
        "note": "Official (yale-nlp) grades every sample with GPT-4o; the rule-first/judge-fallback execution matches lmms-eval's hybrid and is the endorsed efficiency deviation. Subset mixes MCQ (5 options A-E) and open-ended rows; extra.question_type carries source values 'multiple-choice'/'open-ended' which are NOT in the scorer vocabulary. Official judge model gpt-4o."
      },
      "prompt_template": "<video>{{ question }}{% if options %}\n{% for k, v in options.items() %}{{ k }}. {{ v }}\n{% endfor %}Answer with the option's letter from the given choices directly.{% endif %}",
      "mapping_from_source": {
        "media": {
          "from": "video_path",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "question"
        },
        "answer": {
          "from": "answer",
          "optional": true
        },
        "options": {
          "from": "options",
          "optional": true,
          "note": "list source values are normalized to {A,B,...} dict"
        },
        "extra": {
          "video_id": {
            "from": "video_id"
          },
          "question_type": {
            "from": "question_type"
          },
          "subject": {
            "from": "subject"
          }
        },
        "source": {
          "format": "json",
          "url": {
            "validation": "https://huggingface.co/datasets/yale-nlp/MMVU"
          }
        }
      },
      "video_storage": {
        "format": "files",
        "media_root": "videos",
        "notes": "583 videos from the MMVU benchmark (yale-nlp/MMVU), hosted on HF. Covers 27 expert disciplines. Videos sourced from YouTube."
      },
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://github.com/yale-nlp/MMVU/blob/main/utils/constant.py (MULTI_CHOICE_DO_PROMPT / OPEN_ENDED_DO_PROMPT — yale-nlp MMVU direct-output eval prompts)",
        "notes": "Tier 1: MMVU official evaluation prompts (yale-nlp MMVU paper authors): MCQ + open-ended branches."
      }
    }
  }
}