{
  "name": "SpatialEval",
  "release_date": "2024-09-09",
  "subsets": {
    "vqa": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_image_start"
      ],
      "task_type": "multiple_choice_qa",
      "score_pipeline": [
        "exact-match",
        "rule-match"
      ],
      "score_protocol": {
        "reference": "official@github.com/jiayuww/SpatialEval evals/evaluation.py — task-specific regex extraction (extract_answer_from_text_spatialmap L26 /_mazenav L140 /_spatialgrid L205) then lowercase substring match of the oracle answer ('ref_ans.lower() in model_answer.lower()', L286-288); no LLM anywhere.",
        "note": "Official grading matches the oracle ANSWER CONTENT by substring after regex extraction; the mm-eval copy stores the option letter (oracle_option, e.g. 'C') as ground truth with options embedded in the question text ('Available options:\\nA. 4...'), keeping oracle_answer/oracle_full_answer in extra. Scoring the published copy is therefore letter-selection matching, not content-substring matching. Official also defines a text-only tqa mode not shipped by the org (vqa/vtqa only)."
      },
      "prompt_template": "<image>{{ question }}",
      "prompt_template_source": {
        "origin": "source_column",
        "reference": "https://huggingface.co/datasets/MilaWang/SpatialEval",
        "notes": "Tier 2: SpatialEval text column pre-renders the question with embedded option list; oracle_option holds the gold letter. Template prepends <image> and uses text verbatim."
      },
      "mapping_from_source": {
        "media": {
          "from": "image",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "text"
        },
        "answer": {
          "from": "oracle_option",
          "optional": true
        },
        "extra": {
          "oracle_full_answer": {
            "from": "oracle_full_answer"
          },
          "oracle_answer": {
            "from": "oracle_answer"
          }
        },
        "source": {
          "format": "huggingface",
          "url": {
            "test": "https://huggingface.co/datasets/MilaWang/SpatialEval"
          }
        }
      }
    },
    "vtqa": {
      "language": [
        "en"
      ],
      "modalities": [
        "single_image_start"
      ],
      "task_type": "multiple_choice_qa",
      "score_pipeline": [
        "exact-match",
        "rule-match"
      ],
      "score_protocol": {
        "reference": "official@github.com/jiayuww/SpatialEval evals/evaluation.py — same rule-based regex extraction + lowercase substring match of the oracle answer (run with --mode 'vtqa'); no LLM.",
        "note": "Same as SpatialEval/vqa: published GT is the option letter while the official script substring-matches oracle answer content; tqa mode not shipped."
      },
      "prompt_template": "<image>{{ question }}",
      "prompt_template_source": {
        "origin": "source_column",
        "reference": "https://huggingface.co/datasets/MilaWang/SpatialEval",
        "notes": "Tier 2: SpatialEval text column pre-renders the question with embedded option list; oracle_option holds the gold letter. Template prepends <image> and uses text verbatim."
      },
      "mapping_from_source": {
        "media": {
          "from": "image",
          "type": "list",
          "min_items": 1,
          "max_items": 1
        },
        "id": {
          "from": "id"
        },
        "question": {
          "from": "text"
        },
        "answer": {
          "from": "oracle_option",
          "optional": true
        },
        "extra": {
          "oracle_full_answer": {
            "from": "oracle_full_answer"
          },
          "oracle_answer": {
            "from": "oracle_answer"
          }
        },
        "source": {
          "format": "huggingface",
          "url": {
            "test": "https://huggingface.co/datasets/MilaWang/SpatialEval"
          }
        }
      }
    }
  }
}