GRIP-Benchmark / Dataset /combination_dataset_3000 /validation_metrics.json
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Final cleanup and public release of GRIP-Benchmark-34
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{
"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
},
"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
}
},
"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"
]
}