Upload experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence (part 8)

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3294.json

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+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 3294,
+ "question_type": "object_size_estimation",
+ "question": "What is the length of the longest dimension (length, width, or height) of the bookshelf, measured in centimeters?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "114",
+ "answer_given": "85.0",
+ "answer_raw": "85.0",
+ "score": 0.5
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3295.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 3295,
+ "question_type": "object_size_estimation",
+ "question": "What is the length of the longest dimension (length, width, or height) of the lamp, measured in centimeters?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "53",
+ "answer_given": "50.0",
+ "answer_raw": "50.0",
+ "score": 0.9
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3296.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 3296,
+ "question_type": "object_size_estimation",
+ "question": "What is the length of the longest dimension (length, width, or height) of the closet, measured in centimeters?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "217",
+ "answer_given": "",
+ "answer_raw": "",
+ "score": 0.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3297.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 3297,
+ "question_type": "object_size_estimation",
+ "question": "What is the length of the longest dimension (length, width, or height) of the fan, measured in centimeters?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "116",
+ "answer_given": "65.0",
+ "answer_raw": "65.0",
+ "score": 0.2
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3298.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 3298,
+ "question_type": "object_size_estimation",
+ "question": "What is the length of the longest dimension (length, width, or height) of the door, measured in centimeters?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "81",
+ "answer_given": "104.0",
+ "answer_raw": "104.0",
+ "score": 0.5
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3719.json

@@ -0,0 +1,23 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 3719,
+ "question_type": "object_rel_direction_easy",
+ "question": "If I am standing by the bookshelf and facing the lamp, is the fan to the left or the right of the lamp?",
+ "options": [
+  "A. right",
+  "B. left"
+ ],
+ "full_prompt": null,
+ "answer_expected": "B",
+ "answer_given": "A",
+ "answer_raw": "A",
+ "score": 0.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3720.json

@@ -0,0 +1,23 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 3720,
+ "question_type": "object_rel_direction_easy",
+ "question": "If I am standing by the bookshelf and facing the fan, is the lamp to the left or the right of the fan?",
+ "options": [
+  "A. right",
+  "B. left"
+ ],
+ "full_prompt": null,
+ "answer_expected": "A",
+ "answer_given": "B",
+ "answer_raw": "B",
+ "score": 0.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3721.json

@@ -0,0 +1,23 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 3721,
+ "question_type": "object_rel_direction_easy",
+ "question": "If I am standing by the lamp and facing the bookshelf, is the fan to the left or the right of the bookshelf?",
+ "options": [
+  "A. left",
+  "B. right"
+ ],
+ "full_prompt": null,
+ "answer_expected": "B",
+ "answer_given": "A",
+ "answer_raw": "A",
+ "score": 0.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3782.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 3782,
+ "question_type": "room_size_estimation",
+ "question": "What is the size of this room (in square meters)? \nIf multiple rooms are shown, estimate the size of the combined space.",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "11.2",
+ "answer_given": "11.0",
+ "answer_raw": "11.0",
+ "score": 1.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3968.json

@@ -0,0 +1,25 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 3968,
+ "question_type": "obj_appearance_order",
+ "question": "What will be the first-time appearance order of the following categories in the video: door, bookshelf, fan, pillow?",
+ "options": [
+  "A. pillow, fan, door, bookshelf",
+  "B. fan, pillow, bookshelf, door",
+  "C. door, bookshelf, pillow, fan",
+  "D. door, bookshelf, fan, pillow"
+ ],
+ "full_prompt": null,
+ "answer_expected": "A",
+ "answer_given": "A",
+ "answer_raw": "A",
+ "score": 1.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3969.json

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+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 3969,
+ "question_type": "obj_appearance_order",
+ "question": "What will be the first-time appearance order of the following categories in the video: chair, door, bookshelf, fan?",
+ "options": [
+  "A. chair, fan, door, bookshelf",
+  "B. chair, door, bookshelf, fan",
+  "C. chair, bookshelf, fan, door",
+  "D. door, bookshelf, fan, chair"
+ ],
+ "full_prompt": null,
+ "answer_expected": "A",
+ "answer_given": "A",
+ "answer_raw": "A",
+ "score": 1.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3970.json

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+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 3970,
+ "question_type": "obj_appearance_order",
+ "question": "What will be the first-time appearance order of the following categories in the video: lamp, door, bookshelf, fan?",
+ "options": [
+  "A. lamp, fan, bookshelf, door",
+  "B. lamp, bookshelf, door, fan",
+  "C. lamp, door, bookshelf, fan",
+  "D. lamp, fan, door, bookshelf"
+ ],
+ "full_prompt": null,
+ "answer_expected": "D",
+ "answer_given": "C",
+ "answer_raw": "C",
+ "score": 0.0,
+ "appearance_order_diagnosis": {
+  "diagnosable": true,
+  "class_positions_in_real_order": {
+   "lamp": 9,
+   "door": 8,
+   "bookshelf": 16,
+   "fan": 13
+  },
+  "true_order_per_spatial_code": "door, lamp, fan, bookshelf",
+  "ground_truth_option_text": "lamp, fan, door, bookshelf",
+  "matches_ground_truth": false,
+  "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had"
+ }
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3971.json

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+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 3971,
+ "question_type": "obj_appearance_order",
+ "question": "What will be the first-time appearance order of the following categories in the video: table, door, bookshelf, fan?",
+ "options": [
+  "A. table, door, bookshelf, fan",
+  "B. fan, door, bookshelf, table",
+  "C. table, fan, door, bookshelf",
+  "D. bookshelf, fan, door, table"
+ ],
+ "full_prompt": null,
+ "answer_expected": "C",
+ "answer_given": "A",
+ "answer_raw": "A",
+ "score": 0.0,
+ "appearance_order_diagnosis": {
+  "diagnosable": true,
+  "class_positions_in_real_order": {
+   "table": 2,
+   "door": 8,
+   "bookshelf": 16,
+   "fan": 13
+  },
+  "true_order_per_spatial_code": "table, door, fan, bookshelf",
+  "ground_truth_option_text": "table, fan, door, bookshelf",
+  "matches_ground_truth": false,
+  "verdict": "the spatial code's real detected order genuinely disagrees with the official ground truth's ordering -- not an engine bug, the engine correctly read the real data it had"
+ }
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3972.json

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+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 3972,
+ "question_type": "obj_appearance_order",
+ "question": "What will be the first-time appearance order of the following categories in the video: bookshelf, door, fan, bed?",
+ "options": [
+  "A. door, fan, bookshelf, bed",
+  "B. bed, fan, door, bookshelf",
+  "C. bed, fan, bookshelf, door",
+  "D. bookshelf, door, fan, bed"
+ ],
+ "full_prompt": null,
+ "answer_expected": "B",
+ "answer_given": "B",
+ "answer_raw": "B",
+ "score": 1.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/4278.json

@@ -0,0 +1,24 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 4278,
+ "question_type": "object_rel_direction_medium",
+ "question": "If I am standing by the bookshelf and facing the closet, is the fan to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.",
+ "options": [
+  "A. back",
+  "B. left",
+  "C. right"
+ ],
+ "full_prompt": null,
+ "answer_expected": "C",
+ "answer_given": "",
+ "answer_raw": "",
+ "score": 0.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/4279.json

@@ -0,0 +1,24 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 4279,
+ "question_type": "object_rel_direction_medium",
+ "question": "If I am standing by the bookshelf and facing the fan, is the closet to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.",
+ "options": [
+  "A. right",
+  "B. left",
+  "C. back"
+ ],
+ "full_prompt": null,
+ "answer_expected": "B",
+ "answer_given": "",
+ "answer_raw": "",
+ "score": 0.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/4280.json

@@ -0,0 +1,24 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 4280,
+ "question_type": "object_rel_direction_medium",
+ "question": "If I am standing by the closet and facing the bookshelf, is the fan to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.",
+ "options": [
+  "A. left",
+  "B. right",
+  "C. back"
+ ],
+ "full_prompt": null,
+ "answer_expected": "A",
+ "answer_given": "",
+ "answer_raw": "",
+ "score": 0.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/4438.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 4438,
+ "question_type": "object_counting",
+ "question": "How many bed(s) are in this room?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "2",
+ "answer_given": "3",
+ "answer_raw": "3",
+ "score": 0.1
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/4439.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 4439,
+ "question_type": "object_counting",
+ "question": "How many chair(s) are in this room?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "2",
+ "answer_given": "3",
+ "answer_raw": "3",
+ "score": 0.1
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/4440.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 4440,
+ "question_type": "object_counting",
+ "question": "How many pillow(s) are in this room?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "5",
+ "answer_given": "3",
+ "answer_raw": "3",
+ "score": 0.3
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/4441.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 4441,
+ "question_type": "object_counting",
+ "question": "How many plant(s) are in this room?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "2",
+ "answer_given": "3",
+ "answer_raw": "3",
+ "score": 0.1
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/4442.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 4442,
+ "question_type": "object_counting",
+ "question": "How many backpack(s) are in this room?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "2",
+ "answer_given": "2",
+ "answer_raw": "2",
+ "score": 1.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/4443.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 4443,
+ "question_type": "object_counting",
+ "question": "How many table(s) are in this room?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "2",
+ "answer_given": "2",
+ "answer_raw": "2",
+ "score": 1.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/4703.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 4703,
+ "question_type": "object_abs_distance",
+ "question": "Measuring from the closest point of each object, what is the distance between the door and the bookshelf (in meters)?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "1.2",
+ "answer_given": "1.2",
+ "answer_raw": "1.2",
+ "score": 1.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/4704.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 4704,
+ "question_type": "object_abs_distance",
+ "question": "Measuring from the closest point of each object, what is the distance between the closet and the window (in meters)?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "2.7",
+ "answer_given": "",
+ "answer_raw": "",
+ "score": 0.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/4705.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 4705,
+ "question_type": "object_abs_distance",
+ "question": "Measuring from the closest point of each object, what is the distance between the bookshelf and the window (in meters)?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "2.2",
+ "answer_given": "2.38",
+ "answer_raw": "2.38",
+ "score": 0.9
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/4706.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 4706,
+ "question_type": "object_abs_distance",
+ "question": "Measuring from the closest point of each object, what is the distance between the fan and the lamp (in meters)?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "1.7",
+ "answer_given": "0.0",
+ "answer_raw": "0.0",
+ "score": 0.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/4708.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 4708,
+ "question_type": "object_abs_distance",
+ "question": "Measuring from the closest point of each object, what is the distance between the fan and the closet (in meters)?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "1.0",
+ "answer_given": "",
+ "answer_raw": "",
+ "score": 0.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/4709.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 4709,
+ "question_type": "object_abs_distance",
+ "question": "Measuring from the closest point of each object, what is the distance between the closet and the bookshelf (in meters)?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "1.8",
+ "answer_given": "",
+ "answer_raw": "",
+ "score": 0.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/5039.json

@@ -0,0 +1,25 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0648_00",
+ "dataset": "scannet",
+ "question_id": 5039,
+ "question_type": "route_planning",
+ "question": "You are a robot beginning at the desk closer to the window and facing the window. You want to navigate to the other desk. You will perform the following actions (Note: for each [please fill in], choose either 'turn back,' 'turn left,' or 'turn right.'): 1. [please fill in] 2. Go forward until the white storage bins 3. [please fill in] 4. Go forward until the desk. You have reached the final destination.",
+ "options": [
+  "A. Turn Right, Turn Right",
+  "B. Turn Left, Turn Right",
+  "C. Turn Right, Turn Left",
+  "D. Turn Back, Turn Right"
+ ],
+ "full_prompt": null,
+ "answer_expected": "D",
+ "answer_given": "",
+ "answer_raw": "",
+ "score": 0.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/_aggregate.json

@@ -0,0 +1,16 @@
+{
+ "scene_id": "scene0648_00",
+ "aggregate": {
+  "overall": 43.333333333333336,
+  "object_counting_MRA:.5:.95:.05": 43.333333333333336,
+  "object_abs_distance_MRA:.5:.95:.05": 31.666666666666664,
+  "object_size_estimation_MRA:.5:.95:.05": 45.0,
+  "room_size_estimation_MRA:.5:.95:.05": 100.0,
+  "object_rel_distance_accuracy": 66.66666666666666,
+  "object_rel_direction_accuracy": 0.0,
+  "route_planning_accuracy": 0.0,
+  "obj_appearance_order_accuracy": 60.0,
+  "tabulated_keys": "overall, object_counting_MRA:.5:.95:.05, object_abs_distance_MRA:.5:.95:.05, object_size_estimation_MRA:.5:.95:.05, room_size_estimation_MRA:.5:.95:.05, object_rel_distance_accuracy, object_rel_direction_accuracy, route_planning_accuracy, obj_appearance_order_accuracy",
+  "tabulated_results": "43.333, 43.333, 31.667, 45.000, 100.000, 66.667, 0.000, 0.000, 60.000"
+ }
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0663_00/3047.json

@@ -0,0 +1,25 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0663_00",
+ "dataset": "scannet",
+ "question_id": 3047,
+ "question_type": "object_rel_distance",
+ "question": "Measuring from the closest point of each object, which of these objects (door, keyboard, telephone, monitor) is the closest to the window?",
+ "options": [
+  "A. door",
+  "B. keyboard",
+  "C. telephone",
+  "D. monitor"
+ ],
+ "full_prompt": null,
+ "answer_expected": "D",
+ "answer_given": "B",
+ "answer_raw": "B",
+ "score": 0.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0663_00/3048.json

@@ -0,0 +1,25 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0663_00",
+ "dataset": "scannet",
+ "question_id": 3048,
+ "question_type": "object_rel_distance",
+ "question": "Measuring from the closest point of each object, which of these objects (window, trash bin, telephone, chair) is the closest to the door?",
+ "options": [
+  "A. window",
+  "B. trash bin",
+  "C. telephone",
+  "D. chair"
+ ],
+ "full_prompt": null,
+ "answer_expected": "B",
+ "answer_given": "D",
+ "answer_raw": "D",
+ "score": 0.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0663_00/3049.json

@@ -0,0 +1,25 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0663_00",
+ "dataset": "scannet",
+ "question_id": 3049,
+ "question_type": "object_rel_distance",
+ "question": "Measuring from the closest point of each object, which of these objects (chair, door, keyboard, trash bin) is the closest to the window?",
+ "options": [
+  "A. chair",
+  "B. door",
+  "C. keyboard",
+  "D. trash bin"
+ ],
+ "full_prompt": null,
+ "answer_expected": "A",
+ "answer_given": "A",
+ "answer_raw": "A",
+ "score": 1.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0663_00/3050.json

@@ -0,0 +1,25 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0663_00",
+ "dataset": "scannet",
+ "question_id": 3050,
+ "question_type": "object_rel_distance",
+ "question": "Measuring from the closest point of each object, which of these objects (trash bin, telephone, monitor, door) is the closest to the window?",
+ "options": [
+  "A. trash bin",
+  "B. telephone",
+  "C. monitor",
+  "D. door"
+ ],
+ "full_prompt": null,
+ "answer_expected": "C",
+ "answer_given": "C",
+ "answer_raw": "C",
+ "score": 1.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0663_00/3051.json

@@ -0,0 +1,25 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0663_00",
+ "dataset": "scannet",
+ "question_id": 3051,
+ "question_type": "object_rel_distance",
+ "question": "Measuring from the closest point of each object, which of these objects (monitor, door, backpack, keyboard) is the closest to the window?",
+ "options": [
+  "A. monitor",
+  "B. door",
+  "C. backpack",
+  "D. keyboard"
+ ],
+ "full_prompt": null,
+ "answer_expected": "A",
+ "answer_given": "D",
+ "answer_raw": "D",
+ "score": 0.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0663_00/3311.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0663_00",
+ "dataset": "scannet",
+ "question_id": 3311,
+ "question_type": "object_size_estimation",
+ "question": "What is the length of the longest dimension (length, width, or height) of the window, measured in centimeters?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "231",
+ "answer_given": "150.0",
+ "answer_raw": "150.0",
+ "score": 0.3
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0663_00/3312.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0663_00",
+ "dataset": "scannet",
+ "question_id": 3312,
+ "question_type": "object_size_estimation",
+ "question": "What is the length of the longest dimension (length, width, or height) of the door, measured in centimeters?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "196",
+ "answer_given": "167.0",
+ "answer_raw": "167.0",
+ "score": 0.8
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0663_00/3786.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0663_00",
+ "dataset": "scannet",
+ "question_id": 3786,
+ "question_type": "room_size_estimation",
+ "question": "What is the size of this room (in square meters)? \nIf multiple rooms are shown, estimate the size of the combined space.",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "14.1",
+ "answer_given": "12.0",
+ "answer_raw": "12.0",
+ "score": 0.8
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0663_00/4453.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0663_00",
+ "dataset": "scannet",
+ "question_id": 4453,
+ "question_type": "object_counting",
+ "question": "How many chair(s) are in this room?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "3",
+ "answer_given": "3",
+ "answer_raw": "3",
+ "score": 1.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0663_00/4454.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0663_00",
+ "dataset": "scannet",
+ "question_id": 4454,
+ "question_type": "object_counting",
+ "question": "How many monitor(s) are in this room?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "3",
+ "answer_given": "3",
+ "answer_raw": "3",
+ "score": 1.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0663_00/4455.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0663_00",
+ "dataset": "scannet",
+ "question_id": 4455,
+ "question_type": "object_counting",
+ "question": "How many keyboard(s) are in this room?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "2",
+ "answer_given": "2",
+ "answer_raw": "2",
+ "score": 1.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0663_00/4456.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0663_00",
+ "dataset": "scannet",
+ "question_id": 4456,
+ "question_type": "object_counting",
+ "question": "How many backpack(s) are in this room?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "3",
+ "answer_given": "4",
+ "answer_raw": "4",
+ "score": 0.4
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0663_00/4457.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0663_00",
+ "dataset": "scannet",
+ "question_id": 4457,
+ "question_type": "object_counting",
+ "question": "How many telephone(s) are in this room?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "2",
+ "answer_given": "1",
+ "answer_raw": "1",
+ "score": 0.1
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0663_00/4458.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0663_00",
+ "dataset": "scannet",
+ "question_id": 4458,
+ "question_type": "object_counting",
+ "question": "How many trash bin(s) are in this room?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "2",
+ "answer_given": "2",
+ "answer_raw": "2",
+ "score": 1.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0663_00/4459.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0663_00",
+ "dataset": "scannet",
+ "question_id": 4459,
+ "question_type": "object_counting",
+ "question": "How many table(s) are in this room?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "2",
+ "answer_given": "3",
+ "answer_raw": "3",
+ "score": 0.1
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0663_00/4722.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0663_00",
+ "dataset": "scannet",
+ "question_id": 4722,
+ "question_type": "object_abs_distance",
+ "question": "Measuring from the closest point of each object, what is the distance between the door and the window (in meters)?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "4.3",
+ "answer_given": "4.53",
+ "answer_raw": "4.53",
+ "score": 0.9
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0663_00/_aggregate.json

@@ -0,0 +1,13 @@
+{
+ "scene_id": "scene0663_00",
+ "aggregate": {
+  "overall": 66.14285714285714,
+  "object_counting_MRA:.5:.95:.05": 65.71428571428571,
+  "object_abs_distance_MRA:.5:.95:.05": 90.0,
+  "object_size_estimation_MRA:.5:.95:.05": 55.00000000000001,
+  "room_size_estimation_MRA:.5:.95:.05": 80.0,
+  "object_rel_distance_accuracy": 40.0,
+  "tabulated_keys": "overall, object_counting_MRA:.5:.95:.05, object_abs_distance_MRA:.5:.95:.05, object_size_estimation_MRA:.5:.95:.05, room_size_estimation_MRA:.5:.95:.05, object_rel_distance_accuracy",
+  "tabulated_results": "66.143, 65.714, 90.000, 55.000, 80.000, 40.000"
+ }
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0684_01/3052.json

@@ -0,0 +1,25 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0684_01",
+ "dataset": "scannet",
+ "question_id": 3052,
+ "question_type": "object_rel_distance",
+ "question": "Measuring from the closest point of each object, which of these objects (chair, window, table, telephone) is the closest to the door?",
+ "options": [
+  "A. chair",
+  "B. window",
+  "C. table",
+  "D. telephone"
+ ],
+ "full_prompt": null,
+ "answer_expected": "C",
+ "answer_given": "C",
+ "answer_raw": "C",
+ "score": 1.0
+}

experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0684_01/3320.json

@@ -0,0 +1,20 @@
+{
+ "model": "symbolic",
+ "condition": "metric:tracking:uniform:64",
+ "spatial_code_model": "sam3+depth-anything-3",
+ "depth": "metric",
+ "input": "uniform",
+ "tracking": "tracking",
+ "number_of_frames": 64,
+ "scene": "scene0684_01",
+ "dataset": "scannet",
+ "question_id": 3320,
+ "question_type": "object_size_estimation",
+ "question": "What is the length of the longest dimension (length, width, or height) of the chair, measured in centimeters?",
+ "options": null,
+ "full_prompt": null,
+ "answer_expected": "89",
+ "answer_given": "66.0",
+ "answer_raw": "66.0",
+ "score": 0.5
+}