Upload experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence (part 7)
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- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/1857.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/1858.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/2273.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/2274.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/2275.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/2453.json +23 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/2454.json +23 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/2455.json +23 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/2684.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/_aggregate.json +12 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1547.json +24 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1548.json +24 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1549.json +24 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1550.json +24 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1551.json +24 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1552.json +24 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1671.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1672.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1673.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1674.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1675.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1676.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1677.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1845.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1846.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1847.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1848.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1849.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1850.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2026.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2258.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2259.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2260.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2261.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2262.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2446.json +23 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2447.json +23 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2448.json +23 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2569.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2570.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2680.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/_aggregate.json +14 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1522.json +24 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1523.json +24 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1524.json +24 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1525.json +24 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1526.json +24 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1622.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1623.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1624.json +20 -0
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/1857.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:uniform:64",
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"spatial_code_model": "sam3+depth-anything-3",
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"depth": "metric",
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"input": "uniform",
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"tracking": "tracking",
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"number_of_frames": 64,
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"scene": "e398684d27",
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"dataset": "scannetpp",
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"question_id": 1857,
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"question_type": "object_rel_direction_hard",
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"question": "If I am standing by the ceiling light and facing the monitor, 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).",
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"options": [
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"A. front-right",
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"B. back-right",
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"C. back-left",
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"D. front-left"
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],
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"full_prompt": null,
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"answer_expected": "D",
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"answer_given": "D",
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"answer_raw": "D",
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"score": 1.0
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}
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experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/1858.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:uniform:64",
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"spatial_code_model": "sam3+depth-anything-3",
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"depth": "metric",
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"input": "uniform",
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"tracking": "tracking",
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"number_of_frames": 64,
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"scene": "e398684d27",
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"dataset": "scannetpp",
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"question_id": 1858,
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"question_type": "object_rel_direction_hard",
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"question": "If I am standing by the door and facing the ceiling light, is the monitor 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).",
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"options": [
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"A. front-right",
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"B. front-left",
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"C. back-left",
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"D. back-right"
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],
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"full_prompt": null,
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"answer_expected": "B",
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"answer_given": "B",
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"answer_raw": "B",
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"score": 1.0
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}
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experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/2273.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:uniform:64",
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"spatial_code_model": "sam3+depth-anything-3",
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"depth": "metric",
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"input": "uniform",
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"tracking": "tracking",
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"number_of_frames": 64,
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"scene": "e398684d27",
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"dataset": "scannetpp",
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"question_id": 2273,
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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 ceiling light, measured in centimeters?",
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"options": null,
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"full_prompt": null,
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"answer_expected": "128",
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"answer_given": "122.0",
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"answer_raw": "122.0",
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"score": 1.0
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}
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experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/2274.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:uniform:64",
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"spatial_code_model": "sam3+depth-anything-3",
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"depth": "metric",
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"input": "uniform",
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"tracking": "tracking",
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"number_of_frames": 64,
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"scene": "e398684d27",
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"dataset": "scannetpp",
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"question_id": 2274,
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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": "210",
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"answer_given": "79.0",
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"answer_raw": "79.0",
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"score": 0.0
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}
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experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/2275.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:uniform:64",
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"spatial_code_model": "sam3+depth-anything-3",
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"depth": "metric",
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"input": "uniform",
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| 7 |
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"tracking": "tracking",
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| 8 |
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"number_of_frames": 64,
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| 9 |
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"scene": "e398684d27",
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"dataset": "scannetpp",
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| 11 |
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"question_id": 2275,
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| 12 |
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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 monitor, measured in centimeters?",
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"options": null,
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"full_prompt": null,
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"answer_expected": "53",
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"answer_given": "39.0",
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"answer_raw": "39.0",
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"score": 0.5
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}
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experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/2453.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:uniform:64",
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"spatial_code_model": "sam3+depth-anything-3",
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"depth": "metric",
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"input": "uniform",
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"tracking": "tracking",
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"number_of_frames": 64,
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"scene": "e398684d27",
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"dataset": "scannetpp",
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"question_id": 2453,
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"question_type": "object_rel_direction_easy",
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"question": "If I am standing by the ceiling light and facing the door, is the monitor to the left or the right of the door?",
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| 14 |
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"options": [
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"A. right",
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"B. left"
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],
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"full_prompt": null,
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"answer_expected": "A",
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"answer_given": "A",
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"answer_raw": "A",
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"score": 1.0
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}
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experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/2454.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:uniform:64",
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"spatial_code_model": "sam3+depth-anything-3",
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"depth": "metric",
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"input": "uniform",
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"tracking": "tracking",
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"number_of_frames": 64,
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| 9 |
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"scene": "e398684d27",
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| 10 |
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"dataset": "scannetpp",
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| 11 |
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"question_id": 2454,
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| 12 |
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"question_type": "object_rel_direction_easy",
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| 13 |
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"question": "If I am standing by the ceiling light and facing the monitor, is the door to the left or the right of the monitor?",
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| 14 |
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"options": [
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| 15 |
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"A. right",
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"B. left"
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],
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"full_prompt": null,
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"answer_expected": "B",
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"answer_given": "B",
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"answer_raw": "B",
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| 22 |
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"score": 1.0
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}
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experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/2455.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:uniform:64",
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"spatial_code_model": "sam3+depth-anything-3",
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"depth": "metric",
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"input": "uniform",
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"tracking": "tracking",
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"number_of_frames": 64,
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| 9 |
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"scene": "e398684d27",
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"dataset": "scannetpp",
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| 11 |
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"question_id": 2455,
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| 12 |
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"question_type": "object_rel_direction_easy",
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| 13 |
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"question": "If I am standing by the door and facing the ceiling light, is the monitor to the left or the right of the ceiling light?",
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| 14 |
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"options": [
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"A. right",
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"B. left"
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| 17 |
+
],
|
| 18 |
+
"full_prompt": null,
|
| 19 |
+
"answer_expected": "B",
|
| 20 |
+
"answer_given": "B",
|
| 21 |
+
"answer_raw": "B",
|
| 22 |
+
"score": 1.0
|
| 23 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/2684.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "e398684d27",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2684,
|
| 12 |
+
"question_type": "room_size_estimation",
|
| 13 |
+
"question": "What is the size of this room (in square meters)? \nIf multiple rooms are shown, estimate the size of the combined space.",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "8.3",
|
| 17 |
+
"answer_given": "14.2",
|
| 18 |
+
"answer_raw": "14.2",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/_aggregate.json
ADDED
|
@@ -0,0 +1,12 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"scene_id": "e398684d27",
|
| 3 |
+
"aggregate": {
|
| 4 |
+
"overall": 53.333333333333336,
|
| 5 |
+
"object_abs_distance_MRA:.5:.95:.05": 63.33333333333333,
|
| 6 |
+
"object_size_estimation_MRA:.5:.95:.05": 50.0,
|
| 7 |
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"room_size_estimation_MRA:.5:.95:.05": 0.0,
|
| 8 |
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"object_rel_direction_accuracy": 100.0,
|
| 9 |
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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, object_rel_direction_accuracy",
|
| 10 |
+
"tabulated_results": "53.333, 63.333, 50.000, 0.000, 100.000"
|
| 11 |
+
}
|
| 12 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1547.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1547,
|
| 12 |
+
"question_type": "object_rel_direction_medium",
|
| 13 |
+
"question": "If I am standing by the door and facing the microwave, is the kettle 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.",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. right",
|
| 16 |
+
"B. back",
|
| 17 |
+
"C. left"
|
| 18 |
+
],
|
| 19 |
+
"full_prompt": null,
|
| 20 |
+
"answer_expected": "A",
|
| 21 |
+
"answer_given": "C",
|
| 22 |
+
"answer_raw": "C",
|
| 23 |
+
"score": 0.0
|
| 24 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1548.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
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"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1548,
|
| 12 |
+
"question_type": "object_rel_direction_medium",
|
| 13 |
+
"question": "If I am standing by the door and facing the kettle, is the microwave 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.",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. right",
|
| 16 |
+
"B. back",
|
| 17 |
+
"C. left"
|
| 18 |
+
],
|
| 19 |
+
"full_prompt": null,
|
| 20 |
+
"answer_expected": "C",
|
| 21 |
+
"answer_given": "A",
|
| 22 |
+
"answer_raw": "A",
|
| 23 |
+
"score": 0.0
|
| 24 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1549.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1549,
|
| 12 |
+
"question_type": "object_rel_direction_medium",
|
| 13 |
+
"question": "If I am standing by the microwave and facing the door, is the kettle 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.",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. left",
|
| 16 |
+
"B. right",
|
| 17 |
+
"C. back"
|
| 18 |
+
],
|
| 19 |
+
"full_prompt": null,
|
| 20 |
+
"answer_expected": "A",
|
| 21 |
+
"answer_given": "B",
|
| 22 |
+
"answer_raw": "B",
|
| 23 |
+
"score": 0.0
|
| 24 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1550.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1550,
|
| 12 |
+
"question_type": "object_rel_direction_medium",
|
| 13 |
+
"question": "If I am standing by the ceiling light and facing the refrigerator, is the kettle 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.",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. back",
|
| 16 |
+
"B. right",
|
| 17 |
+
"C. left"
|
| 18 |
+
],
|
| 19 |
+
"full_prompt": null,
|
| 20 |
+
"answer_expected": "C",
|
| 21 |
+
"answer_given": "",
|
| 22 |
+
"answer_raw": "",
|
| 23 |
+
"score": 0.0
|
| 24 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1551.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
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"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1551,
|
| 12 |
+
"question_type": "object_rel_direction_medium",
|
| 13 |
+
"question": "If I am standing by the ceiling light and facing the kettle, is the refrigerator 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.",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. back",
|
| 16 |
+
"B. right",
|
| 17 |
+
"C. left"
|
| 18 |
+
],
|
| 19 |
+
"full_prompt": null,
|
| 20 |
+
"answer_expected": "B",
|
| 21 |
+
"answer_given": "",
|
| 22 |
+
"answer_raw": "",
|
| 23 |
+
"score": 0.0
|
| 24 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1552.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
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"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1552,
|
| 12 |
+
"question_type": "object_rel_direction_medium",
|
| 13 |
+
"question": "If I am standing by the refrigerator and facing the ceiling light, is the kettle 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.",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. left",
|
| 16 |
+
"B. back",
|
| 17 |
+
"C. right"
|
| 18 |
+
],
|
| 19 |
+
"full_prompt": null,
|
| 20 |
+
"answer_expected": "C",
|
| 21 |
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"answer_given": "",
|
| 22 |
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"answer_raw": "",
|
| 23 |
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"score": 0.0
|
| 24 |
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}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1671.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1671,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the refrigerator and the ceiling light (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "0.5",
|
| 17 |
+
"answer_given": "",
|
| 18 |
+
"answer_raw": "",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1672.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
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"condition": "metric:tracking:uniform:64",
|
| 4 |
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"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1672,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the microwave and the ceiling light (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "1.3",
|
| 17 |
+
"answer_given": "1.64",
|
| 18 |
+
"answer_raw": "1.64",
|
| 19 |
+
"score": 0.5
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1673.json
ADDED
|
@@ -0,0 +1,20 @@
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|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1673,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the microwave and the door (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "0.4",
|
| 17 |
+
"answer_given": "0.32",
|
| 18 |
+
"answer_raw": "0.32",
|
| 19 |
+
"score": 0.6
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1674.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1674,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the microwave and the refrigerator (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "1.3",
|
| 17 |
+
"answer_given": "",
|
| 18 |
+
"answer_raw": "",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1675.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1675,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the kettle and the ceiling light (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "1.3",
|
| 17 |
+
"answer_given": "1.63",
|
| 18 |
+
"answer_raw": "1.63",
|
| 19 |
+
"score": 0.5
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1676.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1676,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the kettle and the door (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "1.5",
|
| 17 |
+
"answer_given": "0.66",
|
| 18 |
+
"answer_raw": "0.66",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1677.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1677,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the kettle and the microwave (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "1.5",
|
| 17 |
+
"answer_given": "0.21",
|
| 18 |
+
"answer_raw": "0.21",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1845.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1845,
|
| 12 |
+
"question_type": "object_rel_direction_hard",
|
| 13 |
+
"question": "If I am standing by the door and facing the microwave, is the kettle 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).",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. front-left",
|
| 16 |
+
"B. front-right",
|
| 17 |
+
"C. back-left",
|
| 18 |
+
"D. back-right"
|
| 19 |
+
],
|
| 20 |
+
"full_prompt": null,
|
| 21 |
+
"answer_expected": "B",
|
| 22 |
+
"answer_given": "A",
|
| 23 |
+
"answer_raw": "A",
|
| 24 |
+
"score": 0.0
|
| 25 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1846.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1846,
|
| 12 |
+
"question_type": "object_rel_direction_hard",
|
| 13 |
+
"question": "If I am standing by the door and facing the kettle, is the microwave 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).",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. back-right",
|
| 16 |
+
"B. back-left",
|
| 17 |
+
"C. front-right",
|
| 18 |
+
"D. front-left"
|
| 19 |
+
],
|
| 20 |
+
"full_prompt": null,
|
| 21 |
+
"answer_expected": "D",
|
| 22 |
+
"answer_given": "C",
|
| 23 |
+
"answer_raw": "C",
|
| 24 |
+
"score": 0.0
|
| 25 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1847.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1847,
|
| 12 |
+
"question_type": "object_rel_direction_hard",
|
| 13 |
+
"question": "If I am standing by the microwave and facing the door, is the kettle 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).",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. back-left",
|
| 16 |
+
"B. front-left",
|
| 17 |
+
"C. front-right",
|
| 18 |
+
"D. back-right"
|
| 19 |
+
],
|
| 20 |
+
"full_prompt": null,
|
| 21 |
+
"answer_expected": "B",
|
| 22 |
+
"answer_given": "C",
|
| 23 |
+
"answer_raw": "C",
|
| 24 |
+
"score": 0.0
|
| 25 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1848.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1848,
|
| 12 |
+
"question_type": "object_rel_direction_hard",
|
| 13 |
+
"question": "If I am standing by the ceiling light and facing the door, is the kettle 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).",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. front-left",
|
| 16 |
+
"B. back-right",
|
| 17 |
+
"C. front-right",
|
| 18 |
+
"D. back-left"
|
| 19 |
+
],
|
| 20 |
+
"full_prompt": null,
|
| 21 |
+
"answer_expected": "D",
|
| 22 |
+
"answer_given": "A",
|
| 23 |
+
"answer_raw": "A",
|
| 24 |
+
"score": 0.0
|
| 25 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1849.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1849,
|
| 12 |
+
"question_type": "object_rel_direction_hard",
|
| 13 |
+
"question": "If I am standing by the ceiling light and facing the kettle, 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).",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. back-right",
|
| 16 |
+
"B. back-left",
|
| 17 |
+
"C. front-right",
|
| 18 |
+
"D. front-left"
|
| 19 |
+
],
|
| 20 |
+
"full_prompt": null,
|
| 21 |
+
"answer_expected": "A",
|
| 22 |
+
"answer_given": "C",
|
| 23 |
+
"answer_raw": "C",
|
| 24 |
+
"score": 0.0
|
| 25 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1850.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1850,
|
| 12 |
+
"question_type": "object_rel_direction_hard",
|
| 13 |
+
"question": "If I am standing by the door and facing the ceiling light, is the kettle 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).",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. back-left",
|
| 16 |
+
"B. back-right",
|
| 17 |
+
"C. front-right",
|
| 18 |
+
"D. front-left"
|
| 19 |
+
],
|
| 20 |
+
"full_prompt": null,
|
| 21 |
+
"answer_expected": "C",
|
| 22 |
+
"answer_given": "C",
|
| 23 |
+
"answer_raw": "C",
|
| 24 |
+
"score": 1.0
|
| 25 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2026.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2026,
|
| 12 |
+
"question_type": "object_rel_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, which of these objects (door, microwave, cup, exhaust fan) is the closest to the ceiling light?",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. door",
|
| 16 |
+
"B. microwave",
|
| 17 |
+
"C. cup",
|
| 18 |
+
"D. exhaust fan"
|
| 19 |
+
],
|
| 20 |
+
"full_prompt": null,
|
| 21 |
+
"answer_expected": "A",
|
| 22 |
+
"answer_given": "A",
|
| 23 |
+
"answer_raw": "A",
|
| 24 |
+
"score": 1.0
|
| 25 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2258.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2258,
|
| 12 |
+
"question_type": "object_size_estimation",
|
| 13 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the ceiling light, measured in centimeters?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "127",
|
| 17 |
+
"answer_given": "23.0",
|
| 18 |
+
"answer_raw": "23.0",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2259.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2259,
|
| 12 |
+
"question_type": "object_size_estimation",
|
| 13 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the door, measured in centimeters?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "211",
|
| 17 |
+
"answer_given": "89.0",
|
| 18 |
+
"answer_raw": "89.0",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2260.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2260,
|
| 12 |
+
"question_type": "object_size_estimation",
|
| 13 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the refrigerator, measured in centimeters?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "228",
|
| 17 |
+
"answer_given": "",
|
| 18 |
+
"answer_raw": "",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2261.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2261,
|
| 12 |
+
"question_type": "object_size_estimation",
|
| 13 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the microwave, measured in centimeters?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "52",
|
| 17 |
+
"answer_given": "53.0",
|
| 18 |
+
"answer_raw": "53.0",
|
| 19 |
+
"score": 1.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2262.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2262,
|
| 12 |
+
"question_type": "object_size_estimation",
|
| 13 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the kettle, measured in centimeters?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "24",
|
| 17 |
+
"answer_given": "21.0",
|
| 18 |
+
"answer_raw": "21.0",
|
| 19 |
+
"score": 0.8
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2446.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2446,
|
| 12 |
+
"question_type": "object_rel_direction_easy",
|
| 13 |
+
"question": "If I am standing by the door and facing the refrigerator, is the microwave to the left or the right of the refrigerator?",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. left",
|
| 16 |
+
"B. right"
|
| 17 |
+
],
|
| 18 |
+
"full_prompt": null,
|
| 19 |
+
"answer_expected": "A",
|
| 20 |
+
"answer_given": "",
|
| 21 |
+
"answer_raw": "",
|
| 22 |
+
"score": 0.0
|
| 23 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2447.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2447,
|
| 12 |
+
"question_type": "object_rel_direction_easy",
|
| 13 |
+
"question": "If I am standing by the door and facing the microwave, is the refrigerator to the left or the right of the microwave?",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. left",
|
| 16 |
+
"B. right"
|
| 17 |
+
],
|
| 18 |
+
"full_prompt": null,
|
| 19 |
+
"answer_expected": "B",
|
| 20 |
+
"answer_given": "",
|
| 21 |
+
"answer_raw": "",
|
| 22 |
+
"score": 0.0
|
| 23 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2448.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2448,
|
| 12 |
+
"question_type": "object_rel_direction_easy",
|
| 13 |
+
"question": "If I am standing by the refrigerator and facing the door, is the microwave to the left or the right of the door?",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. right",
|
| 16 |
+
"B. left"
|
| 17 |
+
],
|
| 18 |
+
"full_prompt": null,
|
| 19 |
+
"answer_expected": "A",
|
| 20 |
+
"answer_given": "",
|
| 21 |
+
"answer_raw": "",
|
| 22 |
+
"score": 0.0
|
| 23 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2569.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2569,
|
| 12 |
+
"question_type": "object_counting",
|
| 13 |
+
"question": "How many exhaust fan(s) are in this room?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "2",
|
| 17 |
+
"answer_given": "1",
|
| 18 |
+
"answer_raw": "1",
|
| 19 |
+
"score": 0.1
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2570.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2570,
|
| 12 |
+
"question_type": "object_counting",
|
| 13 |
+
"question": "How many cup(s) are in this room?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "2",
|
| 17 |
+
"answer_given": "3",
|
| 18 |
+
"answer_raw": "3",
|
| 19 |
+
"score": 0.1
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2680.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "f9f95681fd",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2680,
|
| 12 |
+
"question_type": "room_size_estimation",
|
| 13 |
+
"question": "What is the size of this room (in square meters)? \nIf multiple rooms are shown, estimate the size of the combined space.",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "3.5",
|
| 17 |
+
"answer_given": "5.5",
|
| 18 |
+
"answer_raw": "5.5",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/_aggregate.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"scene_id": "f9f95681fd",
|
| 3 |
+
"aggregate": {
|
| 4 |
+
"overall": 29.068783068783073,
|
| 5 |
+
"object_counting_MRA:.5:.95:.05": 10.0,
|
| 6 |
+
"object_abs_distance_MRA:.5:.95:.05": 22.857142857142858,
|
| 7 |
+
"object_size_estimation_MRA:.5:.95:.05": 36.0,
|
| 8 |
+
"room_size_estimation_MRA:.5:.95:.05": 0.0,
|
| 9 |
+
"object_rel_distance_accuracy": 100.0,
|
| 10 |
+
"object_rel_direction_accuracy": 5.555555555555555,
|
| 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, object_rel_direction_accuracy",
|
| 12 |
+
"tabulated_results": "29.069, 10.000, 22.857, 36.000, 0.000, 100.000, 5.556"
|
| 13 |
+
}
|
| 14 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1522.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "fb5a96b1a2",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1522,
|
| 12 |
+
"question_type": "object_rel_direction_medium",
|
| 13 |
+
"question": "If I am standing by the sofa and facing the power strip, is the telephone 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.",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. right",
|
| 16 |
+
"B. back",
|
| 17 |
+
"C. left"
|
| 18 |
+
],
|
| 19 |
+
"full_prompt": null,
|
| 20 |
+
"answer_expected": "A",
|
| 21 |
+
"answer_given": "",
|
| 22 |
+
"answer_raw": "",
|
| 23 |
+
"score": 0.0
|
| 24 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1523.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "fb5a96b1a2",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1523,
|
| 12 |
+
"question_type": "object_rel_direction_medium",
|
| 13 |
+
"question": "If I am standing by the sofa and facing the telephone, is the power strip 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.",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. right",
|
| 16 |
+
"B. left",
|
| 17 |
+
"C. back"
|
| 18 |
+
],
|
| 19 |
+
"full_prompt": null,
|
| 20 |
+
"answer_expected": "B",
|
| 21 |
+
"answer_given": "",
|
| 22 |
+
"answer_raw": "",
|
| 23 |
+
"score": 0.0
|
| 24 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1524.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "fb5a96b1a2",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1524,
|
| 12 |
+
"question_type": "object_rel_direction_medium",
|
| 13 |
+
"question": "If I am standing by the sofa and facing the telephone, is the computer mouse 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.",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. left",
|
| 16 |
+
"B. back",
|
| 17 |
+
"C. right"
|
| 18 |
+
],
|
| 19 |
+
"full_prompt": null,
|
| 20 |
+
"answer_expected": "C",
|
| 21 |
+
"answer_given": "",
|
| 22 |
+
"answer_raw": "",
|
| 23 |
+
"score": 0.0
|
| 24 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1525.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "fb5a96b1a2",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1525,
|
| 12 |
+
"question_type": "object_rel_direction_medium",
|
| 13 |
+
"question": "If I am standing by the sofa and facing the computer mouse, is the telephone 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.",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. right",
|
| 16 |
+
"B. back",
|
| 17 |
+
"C. left"
|
| 18 |
+
],
|
| 19 |
+
"full_prompt": null,
|
| 20 |
+
"answer_expected": "C",
|
| 21 |
+
"answer_given": "",
|
| 22 |
+
"answer_raw": "",
|
| 23 |
+
"score": 0.0
|
| 24 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1526.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "fb5a96b1a2",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1526,
|
| 12 |
+
"question_type": "object_rel_direction_medium",
|
| 13 |
+
"question": "If I am standing by the telephone and facing the sofa, is the computer mouse 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.",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. left",
|
| 16 |
+
"B. right",
|
| 17 |
+
"C. back"
|
| 18 |
+
],
|
| 19 |
+
"full_prompt": null,
|
| 20 |
+
"answer_expected": "A",
|
| 21 |
+
"answer_given": "",
|
| 22 |
+
"answer_raw": "",
|
| 23 |
+
"score": 0.0
|
| 24 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1622.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "fb5a96b1a2",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1622,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the heater and the sofa (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "4.7",
|
| 17 |
+
"answer_given": "",
|
| 18 |
+
"answer_raw": "",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1623.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "fb5a96b1a2",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1623,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the bookshelf and the sofa (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "4.4",
|
| 17 |
+
"answer_given": "",
|
| 18 |
+
"answer_raw": "",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1624.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:64",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 64,
|
| 9 |
+
"scene": "fb5a96b1a2",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1624,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the computer mouse and the sofa (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "2.2",
|
| 17 |
+
"answer_given": "",
|
| 18 |
+
"answer_raw": "",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|