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- results/symbolic/metric/tracking/selective/32/explicit/13c3e046d7/1686.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/13c3e046d7/2270.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/13c3e046d7/2271.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/13c3e046d7/2272.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/13c3e046d7/2683.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/13c3e046d7/_aggregate.json +11 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1656.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1657.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1658.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1975.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1976.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1977.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1978.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1979.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1980.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1981.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1982.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1983.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1984.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1985.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1986.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1987.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1988.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1989.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/2241.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/2242.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/2243.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/2544.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/2545.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/2546.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/2673.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/5020.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/_aggregate.json +14 -0
- results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1535.json +25 -0
- results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1536.json +25 -0
- results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1537.json +25 -0
- results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1646.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1647.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1648.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1840.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1841.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1842.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1967.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1968.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1969.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1970.json +26 -0
- results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/2233.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/2234.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/2235.json +21 -0
- results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/2440.json +24 -0
results/symbolic/metric/tracking/selective/32/explicit/13c3e046d7/1686.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:selective:32:explicit",
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"spatial_code_model": "sam3+depth-anything-3",
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"depth": "metric",
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"input": "selective",
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"tracking": "tracking",
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"number_of_frames": 32,
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"spatial_code_format": "explicit",
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"scene": "13c3e046d7",
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"dataset": "scannetpp",
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"question_id": 1686,
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"question_type": "object_abs_distance",
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"question": "Measuring from the closest point of each object, what is the distance between the heater and the door (in meters)?",
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"options": null,
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"full_prompt": null,
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"answer_expected": "0.9",
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"answer_given": "2.45",
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"answer_raw": "2.45",
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"score": 0.0
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}
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results/symbolic/metric/tracking/selective/32/explicit/13c3e046d7/2270.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:selective:32:explicit",
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"spatial_code_model": "sam3+depth-anything-3",
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"depth": "metric",
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"input": "selective",
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"tracking": "tracking",
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"number_of_frames": 32,
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"spatial_code_format": "explicit",
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"scene": "13c3e046d7",
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"dataset": "scannetpp",
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"question_id": 2270,
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"question_type": "object_size_estimation",
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"question": "What is the length of the longest dimension (length, width, or height) of the door, measured in centimeters?",
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"options": null,
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"full_prompt": null,
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"answer_expected": "198",
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"answer_given": "171.0",
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"answer_raw": "171.0",
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"score": 0.8
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}
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results/symbolic/metric/tracking/selective/32/explicit/13c3e046d7/2271.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:selective:32:explicit",
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"spatial_code_model": "sam3+depth-anything-3",
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"depth": "metric",
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"input": "selective",
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"tracking": "tracking",
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"number_of_frames": 32,
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"spatial_code_format": "explicit",
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"scene": "13c3e046d7",
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"dataset": "scannetpp",
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"question_id": 2271,
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"question_type": "object_size_estimation",
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"question": "What is the length of the longest dimension (length, width, or height) of the heater, measured in centimeters?",
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"options": null,
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"full_prompt": null,
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"answer_expected": "95",
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"answer_given": "170.0",
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"answer_raw": "170.0",
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"score": 0.0
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}
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results/symbolic/metric/tracking/selective/32/explicit/13c3e046d7/2272.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:selective:32:explicit",
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"spatial_code_model": "sam3+depth-anything-3",
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"depth": "metric",
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"input": "selective",
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"tracking": "tracking",
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"number_of_frames": 32,
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| 9 |
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"spatial_code_format": "explicit",
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"scene": "13c3e046d7",
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| 11 |
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"dataset": "scannetpp",
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"question_id": 2272,
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"question_type": "object_size_estimation",
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"question": "What is the length of the longest dimension (length, width, or height) of the trash can, measured in centimeters?",
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"options": null,
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"full_prompt": null,
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"answer_expected": "68",
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"answer_given": "170.0",
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"answer_raw": "170.0",
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"score": 0.0
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}
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results/symbolic/metric/tracking/selective/32/explicit/13c3e046d7/2683.json
ADDED
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{
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"model": "symbolic",
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"condition": "metric:tracking:selective:32:explicit",
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"spatial_code_model": "sam3+depth-anything-3",
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"depth": "metric",
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"input": "selective",
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"tracking": "tracking",
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"number_of_frames": 32,
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| 9 |
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"spatial_code_format": "explicit",
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"scene": "13c3e046d7",
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| 11 |
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"dataset": "scannetpp",
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"question_id": 2683,
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"question_type": "room_size_estimation",
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"question": "What is the size of this room (in square meters)? \nIf multiple rooms are shown, estimate the size of the combined space.",
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"options": null,
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"full_prompt": null,
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| 17 |
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"answer_expected": "22.8",
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| 18 |
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"answer_given": "22.0",
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| 19 |
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"answer_raw": "22.0",
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| 20 |
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"score": 1.0
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}
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results/symbolic/metric/tracking/selective/32/explicit/13c3e046d7/_aggregate.json
ADDED
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{
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"scene_id": "13c3e046d7",
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"aggregate": {
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| 4 |
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"overall": 42.22222222222222,
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| 5 |
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"object_abs_distance_MRA:.5:.95:.05": 0.0,
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| 6 |
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"object_size_estimation_MRA:.5:.95:.05": 26.666666666666668,
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| 7 |
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"room_size_estimation_MRA:.5:.95:.05": 100.0,
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| 8 |
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"tabulated_keys": "overall, object_abs_distance_MRA:.5:.95:.05, object_size_estimation_MRA:.5:.95:.05, room_size_estimation_MRA:.5:.95:.05",
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| 9 |
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"tabulated_results": "42.222, 0.000, 26.667, 100.000"
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+
}
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}
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results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1656.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:selective:32:original",
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"spatial_code_model": "sam3+depth-anything-3",
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"depth": "metric",
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"input": "selective",
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"tracking": "tracking",
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"number_of_frames": 32,
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"spatial_code_format": "original",
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"scene": "21d970d8de",
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| 11 |
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"dataset": "scannetpp",
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| 12 |
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"question_id": 1656,
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| 13 |
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"question_type": "object_abs_distance",
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| 14 |
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"question": "Measuring from the closest point of each object, what is the distance between the telephone and the tv (in meters)?",
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| 15 |
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"options": null,
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| 16 |
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"full_prompt": null,
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| 17 |
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"answer_expected": "4.8",
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| 18 |
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"answer_given": "4.76",
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| 19 |
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"answer_raw": "4.76",
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| 20 |
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"score": 1.0
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| 21 |
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}
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results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1657.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:selective:32:original",
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"spatial_code_model": "sam3+depth-anything-3",
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"depth": "metric",
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"input": "selective",
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"tracking": "tracking",
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"number_of_frames": 32,
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| 9 |
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"spatial_code_format": "original",
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"scene": "21d970d8de",
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"dataset": "scannetpp",
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| 12 |
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"question_id": 1657,
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| 13 |
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"question_type": "object_abs_distance",
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| 14 |
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"question": "Measuring from the closest point of each object, what is the distance between the door and the tv (in meters)?",
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| 15 |
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"options": null,
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| 16 |
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"full_prompt": null,
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| 17 |
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"answer_expected": "1.8",
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| 18 |
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"answer_given": "1.81",
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| 19 |
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"answer_raw": "1.81",
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| 20 |
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"score": 1.0
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}
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results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1658.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:selective:32:original",
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"spatial_code_model": "sam3+depth-anything-3",
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"depth": "metric",
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"input": "selective",
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"tracking": "tracking",
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"number_of_frames": 32,
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| 9 |
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"spatial_code_format": "original",
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"scene": "21d970d8de",
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| 11 |
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"dataset": "scannetpp",
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| 12 |
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"question_id": 1658,
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| 13 |
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"question_type": "object_abs_distance",
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| 14 |
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"question": "Measuring from the closest point of each object, what is the distance between the door and the telephone (in meters)?",
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| 15 |
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"options": null,
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| 16 |
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"full_prompt": null,
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| 17 |
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"answer_expected": "7.1",
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| 18 |
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"answer_given": "7.04",
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| 19 |
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"answer_raw": "7.04",
|
| 20 |
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"score": 1.0
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| 21 |
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}
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results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1975.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1975,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (ceiling light, telephone, chair, door) is the closest to the tv?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. ceiling light",
|
| 17 |
+
"B. telephone",
|
| 18 |
+
"C. chair",
|
| 19 |
+
"D. door"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "C",
|
| 23 |
+
"answer_given": "A",
|
| 24 |
+
"answer_raw": "A",
|
| 25 |
+
"score": 0.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1976.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1976,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (ceiling light, whiteboard, door, chair) is the closest to the tv?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. ceiling light",
|
| 17 |
+
"B. whiteboard",
|
| 18 |
+
"C. door",
|
| 19 |
+
"D. chair"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "B",
|
| 23 |
+
"answer_given": "A",
|
| 24 |
+
"answer_raw": "A",
|
| 25 |
+
"score": 0.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1977.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1977,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (whiteboard, telephone, door, chair) is the closest to the tv?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. whiteboard",
|
| 17 |
+
"B. telephone",
|
| 18 |
+
"C. door",
|
| 19 |
+
"D. chair"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "A",
|
| 23 |
+
"answer_given": "C",
|
| 24 |
+
"answer_raw": "C",
|
| 25 |
+
"score": 0.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1978.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1978,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (chair, ceiling light, whiteboard, telephone) is the closest to the tv?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. chair",
|
| 17 |
+
"B. ceiling light",
|
| 18 |
+
"C. whiteboard",
|
| 19 |
+
"D. telephone"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "C",
|
| 23 |
+
"answer_given": "B",
|
| 24 |
+
"answer_raw": "B",
|
| 25 |
+
"score": 0.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1979.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1979,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (ceiling light, door, telephone, whiteboard) is the closest to the tv?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. ceiling light",
|
| 17 |
+
"B. door",
|
| 18 |
+
"C. telephone",
|
| 19 |
+
"D. whiteboard"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "D",
|
| 23 |
+
"answer_given": "A",
|
| 24 |
+
"answer_raw": "A",
|
| 25 |
+
"score": 0.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1980.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1980,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (ceiling light, chair, door, tv) is the closest to the telephone?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. ceiling light",
|
| 17 |
+
"B. chair",
|
| 18 |
+
"C. door",
|
| 19 |
+
"D. tv"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "B",
|
| 23 |
+
"answer_given": "B",
|
| 24 |
+
"answer_raw": "B",
|
| 25 |
+
"score": 1.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1981.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1981,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (whiteboard, ceiling light, chair, door) is the closest to the telephone?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. whiteboard",
|
| 17 |
+
"B. ceiling light",
|
| 18 |
+
"C. chair",
|
| 19 |
+
"D. door"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "C",
|
| 23 |
+
"answer_given": "C",
|
| 24 |
+
"answer_raw": "C",
|
| 25 |
+
"score": 1.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1982.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1982,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (chair, tv, door, whiteboard) is the closest to the telephone?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. chair",
|
| 17 |
+
"B. tv",
|
| 18 |
+
"C. door",
|
| 19 |
+
"D. whiteboard"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "A",
|
| 23 |
+
"answer_given": "A",
|
| 24 |
+
"answer_raw": "A",
|
| 25 |
+
"score": 1.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1983.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1983,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (whiteboard, ceiling light, tv, chair) is the closest to the telephone?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. whiteboard",
|
| 17 |
+
"B. ceiling light",
|
| 18 |
+
"C. tv",
|
| 19 |
+
"D. chair"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "D",
|
| 23 |
+
"answer_given": "D",
|
| 24 |
+
"answer_raw": "D",
|
| 25 |
+
"score": 1.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1984.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1984,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (door, whiteboard, ceiling light, tv) is the closest to the telephone?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. door",
|
| 17 |
+
"B. whiteboard",
|
| 18 |
+
"C. ceiling light",
|
| 19 |
+
"D. tv"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "B",
|
| 23 |
+
"answer_given": "B",
|
| 24 |
+
"answer_raw": "B",
|
| 25 |
+
"score": 1.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1985.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1985,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (ceiling light, chair, telephone, tv) is the closest to the door?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. ceiling light",
|
| 17 |
+
"B. chair",
|
| 18 |
+
"C. telephone",
|
| 19 |
+
"D. tv"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "A",
|
| 23 |
+
"answer_given": "A",
|
| 24 |
+
"answer_raw": "A",
|
| 25 |
+
"score": 1.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1986.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1986,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (chair, telephone, ceiling light, whiteboard) is the closest to the door?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. chair",
|
| 17 |
+
"B. telephone",
|
| 18 |
+
"C. ceiling light",
|
| 19 |
+
"D. whiteboard"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "D",
|
| 23 |
+
"answer_given": "D",
|
| 24 |
+
"answer_raw": "D",
|
| 25 |
+
"score": 1.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1987.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1987,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (chair, tv, whiteboard, ceiling light) is the closest to the door?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. chair",
|
| 17 |
+
"B. tv",
|
| 18 |
+
"C. whiteboard",
|
| 19 |
+
"D. ceiling light"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "C",
|
| 23 |
+
"answer_given": "C",
|
| 24 |
+
"answer_raw": "C",
|
| 25 |
+
"score": 1.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1988.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1988,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (tv, whiteboard, telephone, chair) is the closest to the door?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. tv",
|
| 17 |
+
"B. whiteboard",
|
| 18 |
+
"C. telephone",
|
| 19 |
+
"D. chair"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "B",
|
| 23 |
+
"answer_given": "B",
|
| 24 |
+
"answer_raw": "B",
|
| 25 |
+
"score": 1.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/1989.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1989,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (telephone, ceiling light, tv, whiteboard) is the closest to the door?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. telephone",
|
| 17 |
+
"B. ceiling light",
|
| 18 |
+
"C. tv",
|
| 19 |
+
"D. whiteboard"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "D",
|
| 23 |
+
"answer_given": "D",
|
| 24 |
+
"answer_raw": "D",
|
| 25 |
+
"score": 1.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/2241.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 2241,
|
| 13 |
+
"question_type": "object_size_estimation",
|
| 14 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the tv, measured in centimeters?",
|
| 15 |
+
"options": null,
|
| 16 |
+
"full_prompt": null,
|
| 17 |
+
"answer_expected": "126",
|
| 18 |
+
"answer_given": "125.0",
|
| 19 |
+
"answer_raw": "125.0",
|
| 20 |
+
"score": 1.0
|
| 21 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/2242.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 2242,
|
| 13 |
+
"question_type": "object_size_estimation",
|
| 14 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the telephone, measured in centimeters?",
|
| 15 |
+
"options": null,
|
| 16 |
+
"full_prompt": null,
|
| 17 |
+
"answer_expected": "28",
|
| 18 |
+
"answer_given": "83.0",
|
| 19 |
+
"answer_raw": "83.0",
|
| 20 |
+
"score": 0.0
|
| 21 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/2243.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 2243,
|
| 13 |
+
"question_type": "object_size_estimation",
|
| 14 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the door, measured in centimeters?",
|
| 15 |
+
"options": null,
|
| 16 |
+
"full_prompt": null,
|
| 17 |
+
"answer_expected": "212",
|
| 18 |
+
"answer_given": "206.0",
|
| 19 |
+
"answer_raw": "206.0",
|
| 20 |
+
"score": 1.0
|
| 21 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/2544.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 2544,
|
| 13 |
+
"question_type": "object_counting",
|
| 14 |
+
"question": "How many whiteboard(s) are in this room?",
|
| 15 |
+
"options": null,
|
| 16 |
+
"full_prompt": null,
|
| 17 |
+
"answer_expected": "3",
|
| 18 |
+
"answer_given": "3",
|
| 19 |
+
"answer_raw": "3",
|
| 20 |
+
"score": 1.0
|
| 21 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/2545.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 2545,
|
| 13 |
+
"question_type": "object_counting",
|
| 14 |
+
"question": "How many chair(s) are in this room?",
|
| 15 |
+
"options": null,
|
| 16 |
+
"full_prompt": null,
|
| 17 |
+
"answer_expected": "40",
|
| 18 |
+
"answer_given": "7",
|
| 19 |
+
"answer_raw": "7",
|
| 20 |
+
"score": 0.0
|
| 21 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/2546.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 2546,
|
| 13 |
+
"question_type": "object_counting",
|
| 14 |
+
"question": "How many ceiling light(s) are in this room?",
|
| 15 |
+
"options": null,
|
| 16 |
+
"full_prompt": null,
|
| 17 |
+
"answer_expected": "12",
|
| 18 |
+
"answer_given": "7",
|
| 19 |
+
"answer_raw": "7",
|
| 20 |
+
"score": 0.2
|
| 21 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/2673.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 2673,
|
| 13 |
+
"question_type": "room_size_estimation",
|
| 14 |
+
"question": "What is the size of this room (in square meters)? \nIf multiple rooms are shown, estimate the size of the combined space.",
|
| 15 |
+
"options": null,
|
| 16 |
+
"full_prompt": null,
|
| 17 |
+
"answer_expected": "55.0",
|
| 18 |
+
"answer_given": "61.7",
|
| 19 |
+
"answer_raw": "61.7",
|
| 20 |
+
"score": 0.8
|
| 21 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/5020.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "21d970d8de",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 5020,
|
| 13 |
+
"question_type": "route_planning",
|
| 14 |
+
"question": "You are a robot beginning at the red chair at the front of the classroom and facing the windows. You want to navigate to the window in the corner farthest from the door. You will perform the following actions (Note: for each [please fill in], choose either 'turn back,' 'turn left,' or 'turn right.'): 1. [please fill in] 2. Go forward until the sink. 3. [please fill in] 4. Go forward until the wall. 5. [please fill in] 6. Go forward until the window. You have reached the final destination.",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. Turn Right, Turn Left, Turn Left",
|
| 17 |
+
"B. Turn Back, Turn Left, Turn Left",
|
| 18 |
+
"C. Turn Back, Turn Right, Turn Right",
|
| 19 |
+
"D. Turn Left, Turn Right, Turn Left"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "C",
|
| 23 |
+
"answer_given": "",
|
| 24 |
+
"answer_raw": "",
|
| 25 |
+
"score": 0.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/21d970d8de/_aggregate.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"scene_id": "21d970d8de",
|
| 3 |
+
"aggregate": {
|
| 4 |
+
"overall": 58.88888888888889,
|
| 5 |
+
"object_counting_MRA:.5:.95:.05": 40.0,
|
| 6 |
+
"object_abs_distance_MRA:.5:.95:.05": 100.0,
|
| 7 |
+
"object_size_estimation_MRA:.5:.95:.05": 66.66666666666666,
|
| 8 |
+
"room_size_estimation_MRA:.5:.95:.05": 80.0,
|
| 9 |
+
"object_rel_distance_accuracy": 66.66666666666666,
|
| 10 |
+
"route_planning_accuracy": 0.0,
|
| 11 |
+
"tabulated_keys": "overall, object_counting_MRA:.5:.95:.05, object_abs_distance_MRA:.5:.95:.05, object_size_estimation_MRA:.5:.95:.05, room_size_estimation_MRA:.5:.95:.05, object_rel_distance_accuracy, route_planning_accuracy",
|
| 12 |
+
"tabulated_results": "58.889, 40.000, 100.000, 66.667, 80.000, 66.667, 0.000"
|
| 13 |
+
}
|
| 14 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1535.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "3e8bba0176",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1535,
|
| 13 |
+
"question_type": "object_rel_direction_medium",
|
| 14 |
+
"question": "If I am standing by the coat rack and facing the paper bag, is the door to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. left",
|
| 17 |
+
"B. back",
|
| 18 |
+
"C. right"
|
| 19 |
+
],
|
| 20 |
+
"full_prompt": null,
|
| 21 |
+
"answer_expected": "A",
|
| 22 |
+
"answer_given": "A",
|
| 23 |
+
"answer_raw": "A",
|
| 24 |
+
"score": 1.0
|
| 25 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1536.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "3e8bba0176",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1536,
|
| 13 |
+
"question_type": "object_rel_direction_medium",
|
| 14 |
+
"question": "If I am standing by the coat rack and facing the door, is the paper bag to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. back",
|
| 17 |
+
"B. left",
|
| 18 |
+
"C. right"
|
| 19 |
+
],
|
| 20 |
+
"full_prompt": null,
|
| 21 |
+
"answer_expected": "C",
|
| 22 |
+
"answer_given": "A",
|
| 23 |
+
"answer_raw": "A",
|
| 24 |
+
"score": 0.0
|
| 25 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1537.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "3e8bba0176",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1537,
|
| 13 |
+
"question_type": "object_rel_direction_medium",
|
| 14 |
+
"question": "If I am standing by the paper bag and facing the coat rack, is the door to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. left",
|
| 17 |
+
"B. back",
|
| 18 |
+
"C. right"
|
| 19 |
+
],
|
| 20 |
+
"full_prompt": null,
|
| 21 |
+
"answer_expected": "C",
|
| 22 |
+
"answer_given": "A",
|
| 23 |
+
"answer_raw": "A",
|
| 24 |
+
"score": 0.0
|
| 25 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1646.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "3e8bba0176",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1646,
|
| 13 |
+
"question_type": "object_abs_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, what is the distance between the paper bag and the coat rack (in meters)?",
|
| 15 |
+
"options": null,
|
| 16 |
+
"full_prompt": null,
|
| 17 |
+
"answer_expected": "1.8",
|
| 18 |
+
"answer_given": "2.14",
|
| 19 |
+
"answer_raw": "2.14",
|
| 20 |
+
"score": 0.7
|
| 21 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1647.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "3e8bba0176",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1647,
|
| 13 |
+
"question_type": "object_abs_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, what is the distance between the door and the coat rack (in meters)?",
|
| 15 |
+
"options": null,
|
| 16 |
+
"full_prompt": null,
|
| 17 |
+
"answer_expected": "1.9",
|
| 18 |
+
"answer_given": "2.14",
|
| 19 |
+
"answer_raw": "2.14",
|
| 20 |
+
"score": 0.8
|
| 21 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1648.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "3e8bba0176",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1648,
|
| 13 |
+
"question_type": "object_abs_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, what is the distance between the door and the paper bag (in meters)?",
|
| 15 |
+
"options": null,
|
| 16 |
+
"full_prompt": null,
|
| 17 |
+
"answer_expected": "1.8",
|
| 18 |
+
"answer_given": "1.45",
|
| 19 |
+
"answer_raw": "1.45",
|
| 20 |
+
"score": 0.7
|
| 21 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1840.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "3e8bba0176",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1840,
|
| 13 |
+
"question_type": "object_rel_direction_hard",
|
| 14 |
+
"question": "If I am standing by the coat rack and facing the paper bag, is the door to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. back-right",
|
| 17 |
+
"B. front-right",
|
| 18 |
+
"C. back-left",
|
| 19 |
+
"D. front-left"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "D",
|
| 23 |
+
"answer_given": "A",
|
| 24 |
+
"answer_raw": "A",
|
| 25 |
+
"score": 0.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1841.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "3e8bba0176",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1841,
|
| 13 |
+
"question_type": "object_rel_direction_hard",
|
| 14 |
+
"question": "If I am standing by the coat rack and facing the door, is the paper bag to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. front-left",
|
| 17 |
+
"B. back-right",
|
| 18 |
+
"C. front-right",
|
| 19 |
+
"D. back-left"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "C",
|
| 23 |
+
"answer_given": "A",
|
| 24 |
+
"answer_raw": "A",
|
| 25 |
+
"score": 0.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1842.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "3e8bba0176",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1842,
|
| 13 |
+
"question_type": "object_rel_direction_hard",
|
| 14 |
+
"question": "If I am standing by the paper bag and facing the coat rack, is the door to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. front-right",
|
| 17 |
+
"B. back-left",
|
| 18 |
+
"C. front-left",
|
| 19 |
+
"D. back-right"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "A",
|
| 23 |
+
"answer_given": "A",
|
| 24 |
+
"answer_raw": "A",
|
| 25 |
+
"score": 1.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1967.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "3e8bba0176",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1967,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (keyboard, ceiling light, coat rack, monitor) is the closest to the door?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. keyboard",
|
| 17 |
+
"B. ceiling light",
|
| 18 |
+
"C. coat rack",
|
| 19 |
+
"D. monitor"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "B",
|
| 23 |
+
"answer_given": "A",
|
| 24 |
+
"answer_raw": "A",
|
| 25 |
+
"score": 0.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1968.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "3e8bba0176",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1968,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (paper bag, table, whiteboard, chair) is the closest to the door?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. paper bag",
|
| 17 |
+
"B. table",
|
| 18 |
+
"C. whiteboard",
|
| 19 |
+
"D. chair"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "D",
|
| 23 |
+
"answer_given": "B",
|
| 24 |
+
"answer_raw": "B",
|
| 25 |
+
"score": 0.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1969.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "3e8bba0176",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1969,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (ceiling light, chair, table, paper bag) is the closest to the door?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. ceiling light",
|
| 17 |
+
"B. chair",
|
| 18 |
+
"C. table",
|
| 19 |
+
"D. paper bag"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "B",
|
| 23 |
+
"answer_given": "B",
|
| 24 |
+
"answer_raw": "B",
|
| 25 |
+
"score": 1.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/1970.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "3e8bba0176",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 1970,
|
| 13 |
+
"question_type": "object_rel_distance",
|
| 14 |
+
"question": "Measuring from the closest point of each object, which of these objects (door, keyboard, monitor, trash can) is the closest to the paper bag?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. door",
|
| 17 |
+
"B. keyboard",
|
| 18 |
+
"C. monitor",
|
| 19 |
+
"D. trash can"
|
| 20 |
+
],
|
| 21 |
+
"full_prompt": null,
|
| 22 |
+
"answer_expected": "C",
|
| 23 |
+
"answer_given": "C",
|
| 24 |
+
"answer_raw": "C",
|
| 25 |
+
"score": 1.0
|
| 26 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/2233.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "3e8bba0176",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 2233,
|
| 13 |
+
"question_type": "object_size_estimation",
|
| 14 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the coat rack, measured in centimeters?",
|
| 15 |
+
"options": null,
|
| 16 |
+
"full_prompt": null,
|
| 17 |
+
"answer_expected": "183",
|
| 18 |
+
"answer_given": "45.0",
|
| 19 |
+
"answer_raw": "45.0",
|
| 20 |
+
"score": 0.0
|
| 21 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/2234.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "3e8bba0176",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 2234,
|
| 13 |
+
"question_type": "object_size_estimation",
|
| 14 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the paper bag, measured in centimeters?",
|
| 15 |
+
"options": null,
|
| 16 |
+
"full_prompt": null,
|
| 17 |
+
"answer_expected": "29",
|
| 18 |
+
"answer_given": "23.0",
|
| 19 |
+
"answer_raw": "23.0",
|
| 20 |
+
"score": 0.6
|
| 21 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/2235.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "3e8bba0176",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 2235,
|
| 13 |
+
"question_type": "object_size_estimation",
|
| 14 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the door, measured in centimeters?",
|
| 15 |
+
"options": null,
|
| 16 |
+
"full_prompt": null,
|
| 17 |
+
"answer_expected": "210",
|
| 18 |
+
"answer_given": "198.0",
|
| 19 |
+
"answer_raw": "198.0",
|
| 20 |
+
"score": 0.9
|
| 21 |
+
}
|
results/symbolic/metric/tracking/selective/32/explicit/3e8bba0176/2440.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:selective:32:original",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "selective",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 32,
|
| 9 |
+
"spatial_code_format": "original",
|
| 10 |
+
"scene": "3e8bba0176",
|
| 11 |
+
"dataset": "scannetpp",
|
| 12 |
+
"question_id": 2440,
|
| 13 |
+
"question_type": "object_rel_direction_easy",
|
| 14 |
+
"question": "If I am standing by the coat rack and facing the paper bag, is the door to the left or the right of the paper bag?",
|
| 15 |
+
"options": [
|
| 16 |
+
"A. right",
|
| 17 |
+
"B. left"
|
| 18 |
+
],
|
| 19 |
+
"full_prompt": null,
|
| 20 |
+
"answer_expected": "B",
|
| 21 |
+
"answer_given": "A",
|
| 22 |
+
"answer_raw": "A",
|
| 23 |
+
"score": 0.0
|
| 24 |
+
}
|