{
  "name": "AI2D",
  "release_date": "2016-08-26",
  "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; AI2D_TEST registered @vlmeval/dataset/image_mcq.py:100. Cross-check: lmms-eval@lmms_eval/tasks/ai2d/ai2d.yaml:41-55 (MultiChoiceRegexFilter + exact_match, pure rule)",
        "note": "mm-eval prompt follows the lmms-eval trailer; lmms-eval grades AI2D with deterministic regex extraction only, VLMEvalKit adds the GPT extraction fallback. Both are plain per-sample accuracy — no aggregation caveat."
      },
      "prompt_template": "<image>{{ question }}\n{% for k, v in options.items() %}{{ k }}. {{ v }}\n{% endfor %}Answer with the option's letter from the given choices directly.",
      "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
        },
        "options": {
          "from": "options",
          "optional": true,
          "note": "list source values are normalized to {A,B,...} dict"
        },
        "source": {
          "format": "huggingface",
          "url": {
            "test": "https://huggingface.co/datasets/lmms-lab/ai2d"
          }
        }
      },
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/tasks/ai2d/utils.py (ai2d_doc_to_text — 'A./B./...' options + 'Answer with the option's letter from the given choices directly.' canonical trailer)",
        "notes": "Tier 4: lmms-eval AI2D canonical evaluation prompt."
      }
    }
  }
}