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Upload experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence (part 9)

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  1. experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47332901/_aggregate.json +13 -0
  2. experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/442.json +20 -0
  3. experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/443.json +20 -0
  4. experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/4990.json +24 -0
  5. experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/648.json +20 -0
  6. experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/883.json +20 -0
  7. experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/_aggregate.json +12 -0
  8. experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/139.json +20 -0
  9. experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/140.json +20 -0
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  12. experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/5144.json +24 -0
  13. experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/660.json +20 -0
  14. experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/_aggregate.json +12 -0
  15. experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334362/144.json +20 -0
  16. experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334362/490.json +20 -0
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  21. experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334362/_aggregate.json +13 -0
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experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47332901/_aggregate.json ADDED
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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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+ }
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/442.json ADDED
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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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+ }
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/443.json ADDED
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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",
10
+ "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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+ }
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/4990.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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.",
14
+ "options": [
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+ "A. Turn Right",
16
+ "B. Turn Left",
17
+ "C. Turn Back"
18
+ ],
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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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+ }
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/648.json ADDED
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1
+ {
2
+ "model": "symbolic",
3
+ "condition": "metric:tracking:uniform:96",
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+ "spatial_code_model": "sam3+depth-anything-3",
5
+ "depth": "metric",
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+ "input": "uniform",
7
+ "tracking": "tracking",
8
+ "number_of_frames": 96,
9
+ "scene": "47333436",
10
+ "dataset": "arkitscenes",
11
+ "question_id": 648,
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": "13.8",
17
+ "answer_given": "13.6",
18
+ "answer_raw": "13.6",
19
+ "score": 1.0
20
+ }
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/883.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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",
7
+ "tracking": "tracking",
8
+ "number_of_frames": 96,
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+ "scene": "47333436",
10
+ "dataset": "arkitscenes",
11
+ "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)?",
14
+ "options": null,
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+ "full_prompt": null,
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+ "answer_expected": "0.8",
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+ "answer_given": "1.09",
18
+ "answer_raw": "1.09",
19
+ "score": 0.3
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+ }
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47333436/_aggregate.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "scene_id": "47333436",
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+ "aggregate": {
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+ "overall": 43.75,
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+ "object_abs_distance_MRA:.5:.95:.05": 30.0,
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+ "object_size_estimation_MRA:.5:.95:.05": 45.0,
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+ "room_size_estimation_MRA:.5:.95:.05": 100.0,
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+ "route_planning_accuracy": 0.0,
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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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+ }
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/139.json ADDED
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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",
7
+ "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": 139,
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+ "question_type": "object_counting",
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+ "question": "How many table(s) are in this room?",
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+ "options": null,
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+ "full_prompt": null,
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+ "answer_expected": "2",
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+ "answer_given": "3",
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+ "answer_raw": "3",
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+ "score": 0.1
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+ }
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/140.json ADDED
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1
+ {
2
+ "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,
15
+ "full_prompt": null,
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+ "answer_expected": "6",
17
+ "answer_given": "7",
18
+ "answer_raw": "7",
19
+ "score": 0.7
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+ }
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/141.json ADDED
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1
+ {
2
+ "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",
7
+ "tracking": "tracking",
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+ "number_of_frames": 96,
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+ "scene": "47334238",
10
+ "dataset": "arkitscenes",
11
+ "question_id": 141,
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+ "question_type": "object_counting",
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+ "question": "How many sofa(s) are in this room?",
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+ "options": null,
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+ "full_prompt": null,
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+ "answer_expected": "2",
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+ "answer_given": "3",
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+ "answer_raw": "3",
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+ "score": 0.1
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+ }
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/484.json ADDED
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+ {
2
+ "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": 484,
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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 stool, measured in centimeters?",
14
+ "options": null,
15
+ "full_prompt": null,
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+ "answer_expected": "41",
17
+ "answer_given": "45.0",
18
+ "answer_raw": "45.0",
19
+ "score": 0.9
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+ }
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/47334238/5144.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "model": "symbolic",
3
+ "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",
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
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+ }
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",
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+ "input": "uniform",
7
+ "tracking": "tracking",
8
+ "number_of_frames": 96,
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+ "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",
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+ "aggregate": {
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+ "overall": 47.5,
5
+ "object_counting_MRA:.5:.95:.05": 30.0,
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+ "object_size_estimation_MRA:.5:.95:.05": 90.0,
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+ "room_size_estimation_MRA:.5:.95:.05": 70.0,
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+ "route_planning_accuracy": 0.0,
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+ "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",
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+ "tabulated_results": "47.500, 30.000, 90.000, 70.000, 0.000"
11
+ }
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+ }
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",
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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": "47334362",
10
+ "dataset": "arkitscenes",
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+ "question_id": 144,
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+ "question_type": "object_counting",
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+ "question": "How many sofa(s) are in this room?",
14
+ "options": null,
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+ "full_prompt": null,
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+ "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",
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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": "47334362",
10
+ "dataset": "arkitscenes",
11
+ "question_id": 490,
12
+ "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?",
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",
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+ "tracking": "tracking",
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+ "number_of_frames": 96,
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+ "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
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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
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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": "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
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25
+ }
experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2040.json ADDED
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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": "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,
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+ "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?",
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+ "options": null,
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+ "full_prompt": null,
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+ "answer_expected": "216",
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+ "answer_given": "184.0",
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+ "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,
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+ "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
+ }