{
  "name": "SciFIBench",
  "release_date": "2024-09-01",
  "subsets": {
    "figure2caption": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_image_start"
      ],
      "task_type": "multiple_choice_qa",
      "score_pipeline": [
        "rule-match",
        "llm-match"
      ],
      "score_protocol": {
        "reference": "official@github.com/jonathan-roberts1/SciFIBench — extract_answer() uses an LLM (Gemini-Pro 1.0, temperature 0, max 3 tokens) with prompt 'Return only the letter of the answer' to parse the chosen option A-E from model output, then accuracy = extracted letter == gold letter.",
        "note": "Official extractor model is Gemini-Pro 1.0 (LLM used for extraction only, compare is exact letter match); our chain prepends a deterministic prefetch, a faithful superset."
      },
      "prompt_template": "<image>{{ question }}\n{% for opt in options %}{{ opt }}\n{% endfor %}Answer with the option letter (A, B, C, D, or E).",
      "mapping_from_source": {
        "source": {
          "format": "huggingface",
          "url": {
            "CS_Figure2Caption": "https://huggingface.co/datasets/jonathan-roberts1/SciFIBench",
            "General_Figure2Caption": "https://huggingface.co/datasets/jonathan-roberts1/SciFIBench"
          }
        },
        "id": {
          "from": "ID"
        },
        "question": {
          "from": "Question"
        },
        "options": {
          "from": "Options"
        },
        "answer": {
          "from": "Answer"
        },
        "media": {
          "from": "Images",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "extra": {
          "category": {
            "from": "Category"
          },
          "source_id": {
            "from": "source_id",
            "optional": true,
            "note": "source column present on a sibling split; empty string here — column added for cross-split Arrow schema uniformity (push_to_hub requires identical features per config)"
          }
        }
      },
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://github.com/jonathan-roberts1/SciFIBench (README example prompts: question + lettered options + 'Answer with the option letter (A, B, C, D, or E).')",
        "notes": "Tier 1: SciFIBench README example prompts as published by the dataset authors."
      }
    },
    "caption2figure": {
      "language": [
        "en"
      ],
      "modalities": [
        "multi_image_start"
      ],
      "task_type": "multiple_choice_qa",
      "score_pipeline": [
        "rule-match",
        "llm-match"
      ],
      "score_protocol": {
        "reference": "official@github.com/jonathan-roberts1/SciFIBench — same protocol as figure2caption: LLM (Gemini-Pro) letter extraction then exact-letter accuracy; caption2figure options are 5 candidate figures labeled A-E (5 images per row).",
        "note": "Same as figure2caption; official extractor is Gemini-Pro 1.0."
      },
      "prompt_template": "<image><image><image><image><image>{{ question }}\n{% for opt in options %}{{ opt }}\n{% endfor %}Answer with the option letter (A, B, C, D, or E).",
      "mapping_from_source": {
        "source": {
          "format": "huggingface",
          "url": {
            "CS_Caption2Figure": "https://huggingface.co/datasets/jonathan-roberts1/SciFIBench",
            "General_Caption2Figure": "https://huggingface.co/datasets/jonathan-roberts1/SciFIBench"
          }
        },
        "id": {
          "from": "ID"
        },
        "question": {
          "from": "Question"
        },
        "options": {
          "from": "Options"
        },
        "answer": {
          "from": "Answer"
        },
        "media": {
          "from": "Images",
          "type": "list",
          "min_items": 5,
          "max_items": 5
        },
        "extra": {
          "category": {
            "from": "Category"
          },
          "source_id": {
            "from": "source_id",
            "optional": true,
            "note": "source column present on a sibling split; empty string here — column added for cross-split Arrow schema uniformity (push_to_hub requires identical features per config)"
          }
        }
      },
      "prompt_template_source": {
        "origin": "official",
        "reference": "https://github.com/jonathan-roberts1/SciFIBench (README example prompts: question + lettered options + 'Answer with the option letter (A, B, C, D, or E).')",
        "notes": "Tier 1: SciFIBench README example prompts as published by the dataset authors."
      }
    }
  }
}