{
  "answerability_audit": "Question prompts and image assets are present for all five levels; semantic PNG recovery remains the responsibility of the dataset-specific validator.",
  "categorical_distributions": {
    "correct_answer_choice": {
      "A": 750,
      "B": 750,
      "C": 750,
      "D": 750
    }
  },
  "continuous_distributions": {
    "difficulty_score": {
      "count": 3000,
      "max": 0.64,
      "min": 0.3,
      "p25": 0.355,
      "p50": 0.415,
      "p75": 0.52,
      "p95": 0.58
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    "target_cell_count": {
      "count": 3000,
      "max": 10.0,
      "min": 6.0,
      "p25": 7.0,
      "p50": 8.0,
      "p75": 9.0,
      "p95": 10.0
    }
  },
  "dataset_version": "legacy-current",
  "degeneracy_flags": {
    "5": {
      "constant_answer_baseline": 0.64,
      "counts": {
        "connected": 1920,
        "disconnected": 112,
        "yes": 968
      }
    }
  },
  "features_at_v_ge_0_10": {
    "correct_answer_choice": {
      "2": 1.0,
      "4": 0.33387285
    },
    "difficulty_score": {
      "1": 0.87752718,
      "3": 0.30699402
    },
    "target_cell_count": {
      "1": 1.0,
      "3": 0.10638514
    }
  },
  "images": 3000,
  "leak_audit": {
    "correct_answer_choice": {
      "classification": "scene_feature",
      "levels": {
        "1": {
          "cramers_v": 0.035926688465582404,
          "kind": "categorical"
        },
        "2": {
          "cramers_v": 1.0,
          "kind": "categorical"
        },
        "3": {
          "cramers_v": 0.02972396513334681,
          "kind": "categorical"
        },
        "4": {
          "cramers_v": 0.3338728529129281,
          "kind": "categorical"
        },
        "5": {
          "cramers_v": 0.033327023704284836,
          "kind": "categorical"
        }
      },
      "whitelist_justification": null
    },
    "difficulty_score": {
      "classification": "scene_feature",
      "levels": {
        "1": {
          "cramers_v": 0.8775271790313706,
          "kind": "numeric_deciles"
        },
        "2": {
          "cramers_v": 0.05636347349611195,
          "kind": "numeric_deciles"
        },
        "3": {
          "cramers_v": 0.3069940153334504,
          "kind": "numeric_deciles"
        },
        "4": {
          "cramers_v": 0.04426984179814052,
          "kind": "numeric_deciles"
        },
        "5": {
          "cramers_v": 0.08371917801265413,
          "kind": "numeric_deciles"
        }
      },
      "whitelist_justification": null
    },
    "target_cell_count": {
      "classification": "scene_feature",
      "levels": {
        "1": {
          "cramers_v": 1.0,
          "kind": "numeric_deciles"
        },
        "2": {
          "cramers_v": 0.035926688465582404,
          "kind": "numeric_deciles"
        },
        "3": {
          "cramers_v": 0.10638513923021022,
          "kind": "numeric_deciles"
        },
        "4": {
          "cramers_v": 0.02974223530213807,
          "kind": "numeric_deciles"
        },
        "5": {
          "cramers_v": 0.06418628056411042,
          "kind": "numeric_deciles"
        }
      },
      "whitelist_justification": null
    }
  },
  "level_distributions": {
    "1": {
      "constant_answer_baseline": 0.20966666666666667,
      "counts": {
        "10": 597,
        "6": 593,
        "7": 588,
        "8": 593,
        "9": 629
      }
    },
    "2": {
      "constant_answer_baseline": 0.25,
      "counts": {
        "A": 750,
        "B": 750,
        "C": 750,
        "D": 750
      }
    },
    "3": {
      "constant_answer_baseline": 0.33,
      "counts": {
        "2": 990,
        "3": 408,
        "4": 79,
        "no": 543,
        "yes": 980
      }
    },
    "4": {
      "constant_answer_baseline": 0.2623333333333333,
      "counts": {
        "A": 733,
        "B": 787,
        "C": 722,
        "D": 758
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    },
    "5": {
      "constant_answer_baseline": 0.64,
      "counts": {
        "connected": 1920,
        "disconnected": 112,
        "yes": 968
      }
    }
  },
  "png_asset_presence": "3000/3000",
  "questions": 15000,
  "reference_frame_audit": "Dataset-specific geometry and question frames are documented in the generator/validator; no implicit frame conversion is introduced by this audit.",
  "scalar_scene_features": [
    "correct_answer_choice",
    "difficulty_score",
    "target_cell_count"
  ]
}