{
  "name": "CVQA",
  "release_date": "2024-06-08",
  "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:3065 (class CVQA(ImageMCQDataset)) + image_mcq.py:255-330 evaluate_heuristic -> utils/multiple_choice.py:475 mcq_vanilla_eval — exact letter matching first, GPT choice-extraction fallback, then rule compare; CVQA has no public official eval code (leaderboard), VLMEvalKit is the highest available tier.",
        "note": "mm-eval ships the local-language question variant (VLMEvalKit CVQA_LOC equivalent; translated_question/translated_options kept in extra). Official paper reports local-language and English-translated prompts as separate tracks."
      },
      "prompt_template": "<image>Question: {{ question }}\nOptions:\n{% for k, v in options.items() %}{{ k }}. {{ v }}\n{% endfor %}Select the best answer to the above multiple-choice question based on the image. Respond with only the letter of the correct option (A, B, C, or D).\nThe best answer is: ",
      "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"
        },
        "extra": {
          "translated_question": {
            "from": "translated_question"
          },
          "translated_options": {
            "from": "translated_options"
          },
          "subset": {
            "from": "subset"
          },
          "category": {
            "from": "category"
          },
          "image_type": {
            "from": "image_type"
          }
        },
        "source": {
          "format": "huggingface",
          "url": {
            "test": "https://huggingface.co/datasets/afaji/cvqa"
          }
        }
      },
      "prompt_template_source": {
        "origin": "official",
        "reference": "VLMEvalKit vlmeval/dataset/image_mcq.py#L3088-L3123 (CVQA class build_prompt, byte-verified in clone)",
        "notes": "Tier 3: deployed the byte-verifiable VLMEvalKit CVQA prompt. The authors' paper (arXiv:2406.05967 §3) publishes a T1 prompt ('Question: {q} Options: {options} Short Answer:') whose options byte-format is under-specified in the paper text — flagged as an open question rather than deploying an invented rendering. Fixed 2026-07-07 (previous template cited a nonexistent lmms-eval task)."
      }
    }
  }
}