Upload experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence (part 9)
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47332901/_aggregate.json +13 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/442.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/443.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/4990.json +24 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/648.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/883.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/_aggregate.json +12 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/139.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/140.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/141.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/484.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/5144.json +24 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/660.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/_aggregate.json +12 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334362/144.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334362/490.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334362/491.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334362/4986.json +24 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334362/663.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334362/931.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334362/_aggregate.json +13 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1719.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1720.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1721.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1722.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1723.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1724.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1725.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1873.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1874.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1875.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1876.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1877.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2035.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2036.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2037.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2038.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2039.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2040.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2041.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2042.json +25 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2308.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2309.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2310.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2311.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2312.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2313.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2314.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2315.json +20 -0
- experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2466.json +23 -0
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47332901/_aggregate.json
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{
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"scene_id": "47332901",
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"aggregate": {
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"overall": 65.99999999999999,
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"object_counting_MRA:.5:.95:.05": 100.0,
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"object_abs_distance_MRA:.5:.95:.05": 100.0,
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"object_size_estimation_MRA:.5:.95:.05": 50.0,
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"room_size_estimation_MRA:.5:.95:.05": 80.0,
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"route_planning_accuracy": 0.0,
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"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, route_planning_accuracy",
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"tabulated_results": "66.000, 100.000, 100.000, 50.000, 80.000, 0.000"
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}
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}
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experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/442.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:uniform:96",
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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": 96,
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"scene": "47333436",
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"dataset": "arkitscenes",
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"question_id": 442,
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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 bed, measured in centimeters?",
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"options": null,
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"full_prompt": null,
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"answer_expected": "223",
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"answer_given": "111.0",
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"answer_raw": "111.0",
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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/96/47333436/443.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:uniform:96",
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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": 96,
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"scene": "47333436",
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"dataset": "arkitscenes",
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"question_id": 443,
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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 tv, 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": "89.0",
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"answer_raw": "89.0",
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"score": 0.9
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}
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experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/4990.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:uniform:96",
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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": 96,
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"scene": "47333436",
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"dataset": "arkitscenes",
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"question_id": 4990,
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"question_type": "route_planning",
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"question": "You are a robot beginning at the door and facing the window. You want to navigate to the farthest sofa. You will perform the following actions (Note: for each [please fill in], choose either 'turn back,' 'turn left,' or 'turn right.'): 1. Go forward until window 2. [please fill in] 3. Go forward until the sofa. You have reached the final destination.",
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"options": [
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"A. Turn Right",
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"B. Turn Left",
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"C. Turn Back"
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],
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"full_prompt": null,
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"answer_expected": "B",
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"answer_given": "",
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"answer_raw": "",
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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/96/47333436/648.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:uniform:96",
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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": 96,
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"scene": "47333436",
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"dataset": "arkitscenes",
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"question_id": 648,
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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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"answer_expected": "13.8",
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"answer_given": "13.6",
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"answer_raw": "13.6",
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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/96/47333436/883.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:uniform:96",
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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": 96,
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"scene": "47333436",
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"dataset": "arkitscenes",
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| 11 |
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"question_id": 883,
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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 tv and the bed (in meters)?",
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"options": null,
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| 15 |
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"full_prompt": null,
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| 16 |
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"answer_expected": "0.8",
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| 17 |
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"answer_given": "1.09",
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"answer_raw": "1.09",
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"score": 0.3
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}
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experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/_aggregate.json
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{
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"scene_id": "47333436",
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"aggregate": {
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| 4 |
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"overall": 43.75,
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| 5 |
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"object_abs_distance_MRA:.5:.95:.05": 30.0,
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| 6 |
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"object_size_estimation_MRA:.5:.95:.05": 45.0,
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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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"route_planning_accuracy": 0.0,
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| 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, route_planning_accuracy",
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"tabulated_results": "43.750, 30.000, 45.000, 100.000, 0.000"
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}
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}
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experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/139.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:uniform:96",
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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": 96,
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| 9 |
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"scene": "47334238",
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| 10 |
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"dataset": "arkitscenes",
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| 11 |
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"question_id": 139,
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"question_type": "object_counting",
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| 13 |
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"question": "How many table(s) are in this room?",
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"options": null,
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| 15 |
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"full_prompt": null,
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"answer_expected": "2",
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| 17 |
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"answer_given": "3",
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| 18 |
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"answer_raw": "3",
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| 19 |
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"score": 0.1
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}
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experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/140.json
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{
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"model": "symbolic",
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"condition": "metric:tracking:uniform:96",
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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": 96,
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"scene": "47334238",
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"dataset": "arkitscenes",
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"question_id": 140,
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"question_type": "object_counting",
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"question": "How many chair(s) are in this room?",
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"options": null,
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"full_prompt": null,
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"answer_expected": "6",
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"answer_given": "7",
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"answer_raw": "7",
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"score": 0.7
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}
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experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/141.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "47334238",
|
| 10 |
+
"dataset": "arkitscenes",
|
| 11 |
+
"question_id": 141,
|
| 12 |
+
"question_type": "object_counting",
|
| 13 |
+
"question": "How many sofa(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/96/47334238/484.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "47334238",
|
| 10 |
+
"dataset": "arkitscenes",
|
| 11 |
+
"question_id": 484,
|
| 12 |
+
"question_type": "object_size_estimation",
|
| 13 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the stool, measured in centimeters?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "41",
|
| 17 |
+
"answer_given": "45.0",
|
| 18 |
+
"answer_raw": "45.0",
|
| 19 |
+
"score": 0.9
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/5144.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "47334238",
|
| 10 |
+
"dataset": "arkitscenes",
|
| 11 |
+
"question_id": 5144,
|
| 12 |
+
"question_type": "route_planning",
|
| 13 |
+
"question": "You are a robot beginning at the vase of flowers and facing the windows. You want to navigate to the door. You will perform the following actions (Note: for each [please fill in], choose either 'turn back,' 'turn left,' or 'turn right.'): 1. Go forward until the cabinet 2. [please fill in] 3. Go forward until the door. You have reached the final destination.",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. Turn Right",
|
| 16 |
+
"B. Turn Back",
|
| 17 |
+
"C. Turn 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/96/47334238/660.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "47334238",
|
| 10 |
+
"dataset": "arkitscenes",
|
| 11 |
+
"question_id": 660,
|
| 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": "27.1",
|
| 17 |
+
"answer_given": "22.6",
|
| 18 |
+
"answer_raw": "22.6",
|
| 19 |
+
"score": 0.7
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/_aggregate.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"scene_id": "47334238",
|
| 3 |
+
"aggregate": {
|
| 4 |
+
"overall": 47.5,
|
| 5 |
+
"object_counting_MRA:.5:.95:.05": 30.0,
|
| 6 |
+
"object_size_estimation_MRA:.5:.95:.05": 90.0,
|
| 7 |
+
"room_size_estimation_MRA:.5:.95:.05": 70.0,
|
| 8 |
+
"route_planning_accuracy": 0.0,
|
| 9 |
+
"tabulated_keys": "overall, object_counting_MRA:.5:.95:.05, object_size_estimation_MRA:.5:.95:.05, room_size_estimation_MRA:.5:.95:.05, route_planning_accuracy",
|
| 10 |
+
"tabulated_results": "47.500, 30.000, 90.000, 70.000, 0.000"
|
| 11 |
+
}
|
| 12 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334362/144.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "47334362",
|
| 10 |
+
"dataset": "arkitscenes",
|
| 11 |
+
"question_id": 144,
|
| 12 |
+
"question_type": "object_counting",
|
| 13 |
+
"question": "How many sofa(s) are in this room?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "3",
|
| 17 |
+
"answer_given": "6",
|
| 18 |
+
"answer_raw": "6",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334362/490.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "47334362",
|
| 10 |
+
"dataset": "arkitscenes",
|
| 11 |
+
"question_id": 490,
|
| 12 |
+
"question_type": "object_size_estimation",
|
| 13 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the tv, measured in centimeters?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "111",
|
| 17 |
+
"answer_given": "94.0",
|
| 18 |
+
"answer_raw": "94.0",
|
| 19 |
+
"score": 0.7
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334362/491.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "47334362",
|
| 10 |
+
"dataset": "arkitscenes",
|
| 11 |
+
"question_id": 491,
|
| 12 |
+
"question_type": "object_size_estimation",
|
| 13 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the table, measured in centimeters?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "82",
|
| 17 |
+
"answer_given": "70.0",
|
| 18 |
+
"answer_raw": "70.0",
|
| 19 |
+
"score": 0.8
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334362/4986.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "47334362",
|
| 10 |
+
"dataset": "arkitscenes",
|
| 11 |
+
"question_id": 4986,
|
| 12 |
+
"question_type": "route_planning",
|
| 13 |
+
"question": "You are a robot beginning at the door and facing the farthest sofa. You want to navigate to the TV. You will perform the following actions (Note: for each [please fill in], choose either 'turn back,' 'turn left,' or 'turn right.'): 1. Go forward until the farthest sofa 2. [please fill in] 3. Go forward until the TV. You have reached the final destination.",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. Turn Left",
|
| 16 |
+
"B. Turn Right",
|
| 17 |
+
"C. Turn 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/96/47334362/663.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "47334362",
|
| 10 |
+
"dataset": "arkitscenes",
|
| 11 |
+
"question_id": 663,
|
| 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": "25.0",
|
| 17 |
+
"answer_given": "18.7",
|
| 18 |
+
"answer_raw": "18.7",
|
| 19 |
+
"score": 0.5
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334362/931.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "47334362",
|
| 10 |
+
"dataset": "arkitscenes",
|
| 11 |
+
"question_id": 931,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the table and the tv (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "4.4",
|
| 17 |
+
"answer_given": "0.09",
|
| 18 |
+
"answer_raw": "0.09",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334362/_aggregate.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"scene_id": "47334362",
|
| 3 |
+
"aggregate": {
|
| 4 |
+
"overall": 25.0,
|
| 5 |
+
"object_counting_MRA:.5:.95:.05": 0.0,
|
| 6 |
+
"object_abs_distance_MRA:.5:.95:.05": 0.0,
|
| 7 |
+
"object_size_estimation_MRA:.5:.95:.05": 75.0,
|
| 8 |
+
"room_size_estimation_MRA:.5:.95:.05": 50.0,
|
| 9 |
+
"route_planning_accuracy": 0.0,
|
| 10 |
+
"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, route_planning_accuracy",
|
| 11 |
+
"tabulated_results": "25.000, 0.000, 0.000, 75.000, 50.000, 0.000"
|
| 12 |
+
}
|
| 13 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1719.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1719,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the bed and the chair (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "2.0",
|
| 17 |
+
"answer_given": "0.36",
|
| 18 |
+
"answer_raw": "0.36",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1720.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1720,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the tv and the basket (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "2.8",
|
| 17 |
+
"answer_given": "1.82",
|
| 18 |
+
"answer_raw": "1.82",
|
| 19 |
+
"score": 0.4
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1721.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1721,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the ceiling light and the basket (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "3.5",
|
| 17 |
+
"answer_given": "1.64",
|
| 18 |
+
"answer_raw": "1.64",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1722.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1722,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the ceiling light and the chair (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "1.5",
|
| 17 |
+
"answer_given": "1.63",
|
| 18 |
+
"answer_raw": "1.63",
|
| 19 |
+
"score": 0.9
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1723.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1723,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the blanket and the tv (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "1.5",
|
| 17 |
+
"answer_given": "1.5",
|
| 18 |
+
"answer_raw": "1.5",
|
| 19 |
+
"score": 1.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1724.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1724,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the tv and the chair (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "1.4",
|
| 17 |
+
"answer_given": "1.44",
|
| 18 |
+
"answer_raw": "1.44",
|
| 19 |
+
"score": 1.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1725.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1725,
|
| 12 |
+
"question_type": "object_abs_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, what is the distance between the bed and the sofa (in meters)?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "1.7",
|
| 17 |
+
"answer_given": "0.0",
|
| 18 |
+
"answer_raw": "0.0",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1873.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1873,
|
| 12 |
+
"question_type": "object_rel_direction_hard",
|
| 13 |
+
"question": "If I am standing by the sofa and facing the chair, is the tv 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-right",
|
| 18 |
+
"D. back-left"
|
| 19 |
+
],
|
| 20 |
+
"full_prompt": null,
|
| 21 |
+
"answer_expected": "B",
|
| 22 |
+
"answer_given": "B",
|
| 23 |
+
"answer_raw": "B",
|
| 24 |
+
"score": 1.0
|
| 25 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1874.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1874,
|
| 12 |
+
"question_type": "object_rel_direction_hard",
|
| 13 |
+
"question": "If I am standing by the chair and facing the sofa, is the tv 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": "B",
|
| 23 |
+
"answer_raw": "B",
|
| 24 |
+
"score": 0.0
|
| 25 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1875.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1875,
|
| 12 |
+
"question_type": "object_rel_direction_hard",
|
| 13 |
+
"question": "If I am standing by the toilet and facing the basket, is the tv 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-left",
|
| 17 |
+
"C. back-right",
|
| 18 |
+
"D. front-right"
|
| 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/96/5942004064/1876.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1876,
|
| 12 |
+
"question_type": "object_rel_direction_hard",
|
| 13 |
+
"question": "If I am standing by the toilet and facing the tv, is the basket 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-right",
|
| 17 |
+
"C. back-right",
|
| 18 |
+
"D. front-left"
|
| 19 |
+
],
|
| 20 |
+
"full_prompt": null,
|
| 21 |
+
"answer_expected": "B",
|
| 22 |
+
"answer_given": "B",
|
| 23 |
+
"answer_raw": "B",
|
| 24 |
+
"score": 1.0
|
| 25 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1877.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 1877,
|
| 12 |
+
"question_type": "object_rel_direction_hard",
|
| 13 |
+
"question": "If I am standing by the basket and facing the toilet, is the tv 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-left",
|
| 17 |
+
"C. front-right",
|
| 18 |
+
"D. back-right"
|
| 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/96/5942004064/2035.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2035,
|
| 12 |
+
"question_type": "object_rel_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, which of these objects (basket, pillow, door, heater) is the closest to the ceiling light?",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. basket",
|
| 16 |
+
"B. pillow",
|
| 17 |
+
"C. door",
|
| 18 |
+
"D. heater"
|
| 19 |
+
],
|
| 20 |
+
"full_prompt": null,
|
| 21 |
+
"answer_expected": "C",
|
| 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/96/5942004064/2036.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2036,
|
| 12 |
+
"question_type": "object_rel_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, which of these objects (plant, sofa, heater, pillow) is the closest to the ceiling light?",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. plant",
|
| 16 |
+
"B. sofa",
|
| 17 |
+
"C. heater",
|
| 18 |
+
"D. pillow"
|
| 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/96/5942004064/2037.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2037,
|
| 12 |
+
"question_type": "object_rel_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, which of these objects (heater, bed, chair, basket) is the closest to the ceiling light?",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. heater",
|
| 16 |
+
"B. bed",
|
| 17 |
+
"C. chair",
|
| 18 |
+
"D. basket"
|
| 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/96/5942004064/2038.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2038,
|
| 12 |
+
"question_type": "object_rel_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, which of these objects (pillow, bed, tv, ceiling light) is the closest to the chair?",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. pillow",
|
| 16 |
+
"B. bed",
|
| 17 |
+
"C. tv",
|
| 18 |
+
"D. ceiling light"
|
| 19 |
+
],
|
| 20 |
+
"full_prompt": null,
|
| 21 |
+
"answer_expected": "A",
|
| 22 |
+
"answer_given": "B",
|
| 23 |
+
"answer_raw": "B",
|
| 24 |
+
"score": 0.0
|
| 25 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2039.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2039,
|
| 12 |
+
"question_type": "object_rel_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, which of these objects (basket, door, blanket, plant) is the closest to the chair?",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. basket",
|
| 16 |
+
"B. door",
|
| 17 |
+
"C. blanket",
|
| 18 |
+
"D. plant"
|
| 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/96/5942004064/2040.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2040,
|
| 12 |
+
"question_type": "object_rel_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, which of these objects (bed, plant, door, table) is the closest to the ceiling light?",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. bed",
|
| 16 |
+
"B. plant",
|
| 17 |
+
"C. door",
|
| 18 |
+
"D. table"
|
| 19 |
+
],
|
| 20 |
+
"full_prompt": null,
|
| 21 |
+
"answer_expected": "B",
|
| 22 |
+
"answer_given": "B",
|
| 23 |
+
"answer_raw": "B",
|
| 24 |
+
"score": 1.0
|
| 25 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2041.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2041,
|
| 12 |
+
"question_type": "object_rel_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, which of these objects (table, sofa, toilet, chair) is the closest to the blanket?",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. table",
|
| 16 |
+
"B. sofa",
|
| 17 |
+
"C. toilet",
|
| 18 |
+
"D. chair"
|
| 19 |
+
],
|
| 20 |
+
"full_prompt": null,
|
| 21 |
+
"answer_expected": "A",
|
| 22 |
+
"answer_given": "B",
|
| 23 |
+
"answer_raw": "B",
|
| 24 |
+
"score": 0.0
|
| 25 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2042.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2042,
|
| 12 |
+
"question_type": "object_rel_distance",
|
| 13 |
+
"question": "Measuring from the closest point of each object, which of these objects (blanket, basket, pillow, tv) is the closest to the chair?",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. blanket",
|
| 16 |
+
"B. basket",
|
| 17 |
+
"C. pillow",
|
| 18 |
+
"D. tv"
|
| 19 |
+
],
|
| 20 |
+
"full_prompt": null,
|
| 21 |
+
"answer_expected": "C",
|
| 22 |
+
"answer_given": "B",
|
| 23 |
+
"answer_raw": "B",
|
| 24 |
+
"score": 0.0
|
| 25 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2308.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2308,
|
| 12 |
+
"question_type": "object_size_estimation",
|
| 13 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the sofa, measured in centimeters?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "216",
|
| 17 |
+
"answer_given": "184.0",
|
| 18 |
+
"answer_raw": "184.0",
|
| 19 |
+
"score": 0.8
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2309.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2309,
|
| 12 |
+
"question_type": "object_size_estimation",
|
| 13 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the toilet, measured in centimeters?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "105",
|
| 17 |
+
"answer_given": "44.0",
|
| 18 |
+
"answer_raw": "44.0",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2310.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2310,
|
| 12 |
+
"question_type": "object_size_estimation",
|
| 13 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the chair, measured in centimeters?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "78",
|
| 17 |
+
"answer_given": "61.0",
|
| 18 |
+
"answer_raw": "61.0",
|
| 19 |
+
"score": 0.6
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2311.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2311,
|
| 12 |
+
"question_type": "object_size_estimation",
|
| 13 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the basket, measured in centimeters?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "35",
|
| 17 |
+
"answer_given": "40.0",
|
| 18 |
+
"answer_raw": "40.0",
|
| 19 |
+
"score": 0.8
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2312.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2312,
|
| 12 |
+
"question_type": "object_size_estimation",
|
| 13 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the bed, measured in centimeters?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "218",
|
| 17 |
+
"answer_given": "280.0",
|
| 18 |
+
"answer_raw": "280.0",
|
| 19 |
+
"score": 0.5
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2313.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2313,
|
| 12 |
+
"question_type": "object_size_estimation",
|
| 13 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the tv, measured in centimeters?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "110",
|
| 17 |
+
"answer_given": "94.0",
|
| 18 |
+
"answer_raw": "94.0",
|
| 19 |
+
"score": 0.8
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2314.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2314,
|
| 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": "56",
|
| 17 |
+
"answer_given": "131.0",
|
| 18 |
+
"answer_raw": "131.0",
|
| 19 |
+
"score": 0.0
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2315.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2315,
|
| 12 |
+
"question_type": "object_size_estimation",
|
| 13 |
+
"question": "What is the length of the longest dimension (length, width, or height) of the blanket, measured in centimeters?",
|
| 14 |
+
"options": null,
|
| 15 |
+
"full_prompt": null,
|
| 16 |
+
"answer_expected": "189",
|
| 17 |
+
"answer_given": "164.0",
|
| 18 |
+
"answer_raw": "164.0",
|
| 19 |
+
"score": 0.8
|
| 20 |
+
}
|
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2466.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "symbolic",
|
| 3 |
+
"condition": "metric:tracking:uniform:96",
|
| 4 |
+
"spatial_code_model": "sam3+depth-anything-3",
|
| 5 |
+
"depth": "metric",
|
| 6 |
+
"input": "uniform",
|
| 7 |
+
"tracking": "tracking",
|
| 8 |
+
"number_of_frames": 96,
|
| 9 |
+
"scene": "5942004064",
|
| 10 |
+
"dataset": "scannetpp",
|
| 11 |
+
"question_id": 2466,
|
| 12 |
+
"question_type": "object_rel_direction_easy",
|
| 13 |
+
"question": "If I am standing by the toilet and facing the chair, is the tv to the left or the right of the chair?",
|
| 14 |
+
"options": [
|
| 15 |
+
"A. right",
|
| 16 |
+
"B. left"
|
| 17 |
+
],
|
| 18 |
+
"full_prompt": null,
|
| 19 |
+
"answer_expected": "B",
|
| 20 |
+
"answer_given": "B",
|
| 21 |
+
"answer_raw": "B",
|
| 22 |
+
"score": 1.0
|
| 23 |
+
}
|