diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4115.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4115.json new file mode 100644 index 0000000000000000000000000000000000000000..8cef897f7af5c1c468f57e602db5db9a1537ebf3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4115.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4115, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: fan, table, sofa, window?", + "options": [ + "A. sofa, fan, table, window", + "B. table, window, fan, sofa", + "C. sofa, window, fan, table", + "D. fan, table, sofa, window" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4116.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4116.json new file mode 100644 index 0000000000000000000000000000000000000000..490f28c6c3fa9970a9ec1a73be2f7696d6ea7967 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4116.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4116, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, trash bin, fan, sofa?", + "options": [ + "A. table, trash bin, fan, sofa", + "B. sofa, trash bin, fan, table", + "C. fan, table, trash bin, sofa", + "D. table, trash bin, sofa, fan" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4117.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4117.json new file mode 100644 index 0000000000000000000000000000000000000000..8beceab3f14ff916b2080846cdcc9c89f5995dbd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4117.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4117, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: fan, table, window, backpack?", + "options": [ + "A. fan, table, backpack, window", + "B. fan, table, window, backpack", + "C. backpack, window, fan, table", + "D. table, window, fan, backpack" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4118.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4118.json new file mode 100644 index 0000000000000000000000000000000000000000..6444ad11c7ba1b19a4a722d4e45ed946cbd9c30c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4118.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4118, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, door, window, sofa?", + "options": [ + "A. sofa, window, door, table", + "B. window, table, door, sofa", + "C. table, door, window, sofa", + "D. sofa, table, door, window" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4119.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4119.json new file mode 100644 index 0000000000000000000000000000000000000000..07306a346123520b4e78562d2a93b3b0d871a425 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4119.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4119, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: window, backpack, door, table?", + "options": [ + "A. door, table, backpack, window", + "B. backpack, window, door, table", + "C. window, backpack, door, table", + "D. backpack, window, table, door" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "window": 0, + "backpack": 9, + "door": 2, + "table": 10 + }, + "true_order_per_spatial_code": "window, door, backpack, table", + "ground_truth_option_text": "backpack, window, door, table", + "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" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4120.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4120.json new file mode 100644 index 0000000000000000000000000000000000000000..d6a59867732daffdcccbed8b711bc139ca06459a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4120.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4120, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, trash bin, sofa, door?", + "options": [ + "A. trash bin, table, sofa, door", + "B. table, trash bin, sofa, door", + "C. trash bin, door, sofa, table", + "D. sofa, trash bin, door, table" + ], + "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": { + "table": 10, + "trash bin": 4, + "sofa": 8, + "door": 2 + }, + "true_order_per_spatial_code": "door, trash bin, sofa, table", + "ground_truth_option_text": "sofa, trash bin, door, table", + "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" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4121.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4121.json new file mode 100644 index 0000000000000000000000000000000000000000..dd06e75df4c22b0717e2f42f7373ee7dc96c6200 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4121.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4121, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, window, backpack, printer?", + "options": [ + "A. table, printer, backpack, window", + "B. table, window, backpack, printer", + "C. backpack, window, printer, table", + "D. backpack, printer, table, window" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4330.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4330.json new file mode 100644 index 0000000000000000000000000000000000000000..7c56edcd6d08eca55aec6909347db04b84a55d5a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4330.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4330, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the backpack and facing the fan, is the door to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. right", + "B. back", + "C. left" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4331.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4331.json new file mode 100644 index 0000000000000000000000000000000000000000..f92144a7ef86f79e06889fd84361dd3893b4d6fc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4331.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4331, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the backpack and facing the door, 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": "B", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4332.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4332.json new file mode 100644 index 0000000000000000000000000000000000000000..3fe577a7495498b24246ef301dfe7bae865939f9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4332.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4332, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the fan and facing the backpack, is the door to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. left", + "B. back", + "C. right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4333.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4333.json new file mode 100644 index 0000000000000000000000000000000000000000..3dd1e3260048ee66c916aad9c6e889c6494dbb69 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4333.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4333, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the fan and facing the door, is the table 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": "B", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4334.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4334.json new file mode 100644 index 0000000000000000000000000000000000000000..4e7d5936cb329f8bdf4ee0796e2e013a15d712e2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4334.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4334, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the fan and facing the table, is the door to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. back", + "B. right", + "C. left" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4335.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4335.json new file mode 100644 index 0000000000000000000000000000000000000000..a48e521ae31c4a4e5b70075353e7e8ca8efc4569 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4335.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4335, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the door and facing the fan, is the table 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. right", + "C. left" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4536.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4536.json new file mode 100644 index 0000000000000000000000000000000000000000..675a5b34d155719e0b41bc14e97706a815f55583 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4536.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4536, + "question_type": "object_counting", + "question": "How many window(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "3", + "answer_raw": "3", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4537.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4537.json new file mode 100644 index 0000000000000000000000000000000000000000..787ee5d3f01bc71eaf07fd785637551573c7f9e7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4537.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4537, + "question_type": "object_counting", + "question": "How many trash bin(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "1", + "answer_raw": "1", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4839.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4839.json new file mode 100644 index 0000000000000000000000000000000000000000..3971c1a061bedde6bf887431f51162a4fb9f562a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4839.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4839, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the door (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.6", + "answer_given": "1.7", + "answer_raw": "1.7", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4840.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4840.json new file mode 100644 index 0000000000000000000000000000000000000000..77f7a833c9d6b2c528fb0b1ca73218fe83b1a19d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4840.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4840, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the fan (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.4", + "answer_given": "2.66", + "answer_raw": "2.66", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4841.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4841.json new file mode 100644 index 0000000000000000000000000000000000000000..0229168eab20fec9f9a89e40a2dae4e80b2f50e6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4841.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4841, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the fan and the sofa (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.5", + "answer_given": "2.65", + "answer_raw": "2.65", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4842.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4842.json new file mode 100644 index 0000000000000000000000000000000000000000..de5cfc3d81978c2c4eac6620ee04f17bf65aea76 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4842.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4842, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the printer (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "4.3", + "answer_given": "0.0", + "answer_raw": "0.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4843.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4843.json new file mode 100644 index 0000000000000000000000000000000000000000..5bded7b5697d9a19deb2da1877a9a895fdb956dc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4843.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": 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+++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4844.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4844, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the printer (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.0", + "answer_given": "1.71", + "answer_raw": "1.71", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4845.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4845.json new file mode 100644 index 0000000000000000000000000000000000000000..b0fc68e70eaca9180e8e579597f6d8ddea970369 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/4845.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 4845, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the fan (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.4", + "answer_given": "3.65", + "answer_raw": "3.65", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/5033.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/5033.json new file mode 100644 index 0000000000000000000000000000000000000000..45292fcbce3ba35e17353b230bf182544d7e78b0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/5033.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0593_00", + "dataset": "scannet", + "question_id": 5033, + "question_type": "route_planning", + "question": "You are a robot beginning at the sofa and facing the wall behind the sofa. You want to navigate to the printer. 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 paper disposal bin. 3. [please fill in] 4. Go forward until the electric fan. 5. [please fill in] 6. Go forward until the printer. You have reached the final destination.", + "options": [ + "A. Turn Right, Turn Right, Turn Right", + "B. Turn Left, Turn Left, Turn Left", + "C. Turn Left, Turn Right, Turn Left", + "D. Turn Back, Turn Right, Turn Right" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..06c8172585effc11fc8f1fe7fe1880247cf12691 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0593_00/_aggregate.json @@ -0,0 +1,16 @@ +{ + "scene_id": "scene0593_00", + "aggregate": { + "overall": 25.25974025974026, + "object_counting_MRA:.5:.95:.05": 10.0, + "object_abs_distance_MRA:.5:.95:.05": 45.714285714285715, + "object_size_estimation_MRA:.5:.95:.05": 51.66666666666667, + "room_size_estimation_MRA:.5:.95:.05": 0.0, + "object_rel_distance_accuracy": 36.36363636363637, + "object_rel_direction_accuracy": 0.0, + "route_planning_accuracy": 0.0, + "obj_appearance_order_accuracy": 58.333333333333336, + "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": "25.260, 10.000, 45.714, 51.667, 0.000, 36.364, 0.000, 0.000, 58.333" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3010.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3010.json new file mode 100644 index 0000000000000000000000000000000000000000..e2e8ae2ab7cbae7bb515665d60feab9e7e6af663 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3010.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3010, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (tv, sofa, table, backpack) is the closest to the chair?", + "options": [ + "A. tv", + "B. sofa", + "C. table", + "D. backpack" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3011.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3011.json new file mode 100644 index 0000000000000000000000000000000000000000..e0db24c2fc816d1bbe8874b013ed39bf7e7629b1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3011.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3011, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (door, backpack, tv, table) is the closest to the chair?", + "options": [ + "A. door", + "B. backpack", + "C. tv", + "D. table" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3012.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3012.json new file mode 100644 index 0000000000000000000000000000000000000000..b9b0d4e497fc8c5fa9ffd5d6a0a63e65f558d372 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3012.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3012, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (sofa, chair, table, door) is the closest to the tv?", + "options": [ + "A. sofa", + "B. chair", + "C. table", + "D. door" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3013.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3013.json new file mode 100644 index 0000000000000000000000000000000000000000..7a7c8660171a555a7cf7b7a3111abe374f5fd6a2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3013.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3013, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, sofa, backpack, door) is the closest to the tv?", + "options": [ + "A. table", + "B. sofa", + "C. backpack", + "D. door" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3014.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3014.json new file mode 100644 index 0000000000000000000000000000000000000000..818b475aa6942ec7c95202dd9defd4f077d53d0c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3014.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3014, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (sofa, chair, backpack, table) is the closest to the tv?", + "options": [ + "A. sofa", + "B. chair", + "C. backpack", + "D. table" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3015.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3015.json new file mode 100644 index 0000000000000000000000000000000000000000..f21d39a89d88030a118f644334c9c63fc2515730 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3015.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3015, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (door, backpack, chair, sofa) is the closest to the tv?", + "options": [ + "A. door", + "B. backpack", + "C. chair", + "D. sofa" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3016.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3016.json new file mode 100644 index 0000000000000000000000000000000000000000..c7684c99d59e035beb4eceb2929ed275a7117022 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3016.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3016, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (door, table, chair, backpack) is the closest to the tv?", + "options": [ + "A. door", + "B. table", + "C. chair", + "D. backpack" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3017.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3017.json new file mode 100644 index 0000000000000000000000000000000000000000..080aac8364543818fc62464715b074d86c614593 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3017.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3017, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (tv, door, chair, table) is the closest to the backpack?", + "options": [ + "A. tv", + "B. door", + "C. chair", + "D. table" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3290.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3290.json new file mode 100644 index 0000000000000000000000000000000000000000..f7f6e3202c927a63489740e38451b59b2991f438 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3290.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3290, + "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": "67.0", + "answer_raw": "67.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3291.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3291.json new file mode 100644 index 0000000000000000000000000000000000000000..0a98efd81de4f1f0987b9f4b7e4be2d592ed9f93 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3291.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3291, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the tv, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "137", + "answer_given": "125.0", + "answer_raw": "125.0", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3292.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3292.json new file mode 100644 index 0000000000000000000000000000000000000000..7a4be8c927e9efc91909fef45303daf18b46e6de --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3292.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3292, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the backpack, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "44", + "answer_given": "37.0", + "answer_raw": "37.0", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3781.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3781.json new file mode 100644 index 0000000000000000000000000000000000000000..d6a749e09263513aa4b12e13c5281d2ba7d8c691 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/3781.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 3781, + "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": "31.1", + "answer_given": "16.8", + "answer_raw": "16.8", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4435.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4435.json new file mode 100644 index 0000000000000000000000000000000000000000..61849b5cd5128055a19b2e5c284547c89f4058f2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4435.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 4435, + "question_type": "object_counting", + "question": "How many sofa(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "1", + "answer_raw": "1", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4436.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4436.json new file mode 100644 index 0000000000000000000000000000000000000000..e5d72f50bd3598729ac0c38104cf41c18fe3b36e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4436.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 4436, + "question_type": "object_counting", + "question": "How many door(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "3", + "answer_raw": "3", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4437.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4437.json new file mode 100644 index 0000000000000000000000000000000000000000..9b46fa89c68e644099c4e6a9df7ae8e04b1123a2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4437.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 4437, + "question_type": "object_counting", + "question": "How many table(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "3", + "answer_given": "3", + "answer_raw": "3", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4701.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4701.json new file mode 100644 index 0000000000000000000000000000000000000000..931c46baab1a50ea68ac378ba4e10267a094871b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4701.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 4701, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the tv and the chair (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.3", + "answer_given": "3.63", + "answer_raw": "3.63", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4702.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4702.json new file mode 100644 index 0000000000000000000000000000000000000000..fb1632ddab8de329802e3b27b011aa3e25f9f315 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4702.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 4702, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the backpack and the tv (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "4.3", + "answer_given": "4.65", + "answer_raw": "4.65", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4988.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4988.json new file mode 100644 index 0000000000000000000000000000000000000000..dd5ea2129df96e4e0ff1b2750500109550069eb3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/4988.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0647_00", + "dataset": "scannet", + "question_id": 4988, + "question_type": "route_planning", + "question": "You are a robot beginning at the TV facing the drawing. You want to navigate to the table with two orange chair. 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 drawing 2. [please fill in] 3. Go forward until the desired chair. You have reached the final destination.", + "options": [ + "A. Turn Back", + "B. Turn Left", + "C. Turn Right" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..f3c2a884082de3d16ed9c82540b68888456a8693 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0647_00/_aggregate.json @@ -0,0 +1,14 @@ +{ + "scene_id": "scene0647_00", + "aggregate": { + "overall": 50.138888888888886, + "object_counting_MRA:.5:.95:.05": 40.0, + "object_abs_distance_MRA:.5:.95:.05": 90.0, + "object_size_estimation_MRA:.5:.95:.05": 73.33333333333334, + "room_size_estimation_MRA:.5:.95:.05": 10.0, + "object_rel_distance_accuracy": 87.5, + "route_planning_accuracy": 0.0, + "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, route_planning_accuracy", + "tabulated_results": "50.139, 40.000, 90.000, 73.333, 10.000, 87.500, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3018.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3018.json new file mode 100644 index 0000000000000000000000000000000000000000..b617f1bab1652dba1214c1cc33dc7de5b3e4a915 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3018.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3018, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (window, pillow, table, chair) is the closest to the bookshelf?", + "options": [ + "A. window", + "B. pillow", + "C. table", + "D. chair" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3019.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3019.json new file mode 100644 index 0000000000000000000000000000000000000000..33f9aef63d28cdf75c448727983e76242568080e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3019.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3019, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (plant, window, fan, backpack) is the closest to the closet?", + "options": [ + "A. plant", + "B. window", + "C. fan", + "D. backpack" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3020.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3020.json new file mode 100644 index 0000000000000000000000000000000000000000..a39116e219e8b1b375ea5bfc75fd781f84642e09 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3020.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3020, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (bookshelf, closet, plant, chair) is the closest to the fan?", + "options": [ + "A. bookshelf", + "B. closet", + "C. plant", + "D. chair" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3293.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3293.json new file mode 100644 index 0000000000000000000000000000000000000000..39349b70a4d230494686e0f78dd377e78884d29b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3293.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 3293, + "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": "137", + "answer_given": "102.0", + "answer_raw": "102.0", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3294.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3294.json new file mode 100644 index 0000000000000000000000000000000000000000..df188cb26bbff9139f9bfc1afb159ea3d8a48b04 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3294.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "88.0", + "answer_raw": "88.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3295.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3295.json new file mode 100644 index 0000000000000000000000000000000000000000..888b5b45df72d1f3ab7cd3cda93defbbda8cfb4e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3295.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "32.0", + "answer_raw": "32.0", + "score": 0.3 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3296.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3296.json new file mode 100644 index 0000000000000000000000000000000000000000..35d852f1701223364365927092a6668bc6b3fbb1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3296.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "100.0", + "answer_raw": "100.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3297.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3297.json new file mode 100644 index 0000000000000000000000000000000000000000..1970ca06b7eb95169dee4f7b3aaae6ef70cbeda4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3297.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "31.0", + "answer_raw": "31.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3298.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3298.json new file mode 100644 index 0000000000000000000000000000000000000000..37b6adad440a70a755f6a053b7223b6de8f8a207 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3298.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "29.0", + "answer_raw": "29.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3719.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3719.json new file mode 100644 index 0000000000000000000000000000000000000000..9d4cb41c1104299d6c707a60f9ac36bd49f75470 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3719.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3720.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3720.json new file mode 100644 index 0000000000000000000000000000000000000000..95332769e29621ac0973121bf79b6ed40795df2e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3720.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3721.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3721.json new file mode 100644 index 0000000000000000000000000000000000000000..91a2fb71fb5b209504ac52a8ba64660015f7e4f0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3721.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3782.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3782.json new file mode 100644 index 0000000000000000000000000000000000000000..9c7bcd99397fe99ea8200d2e3e771184294a00e2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3782.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "8.9", + "answer_raw": "8.9", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3968.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3968.json new file mode 100644 index 0000000000000000000000000000000000000000..9cbaf4efc30d02499cf5b6dbc82faae442b79445 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3968.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3969.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3969.json new file mode 100644 index 0000000000000000000000000000000000000000..dc30cdb04eaffcf65d3f35e2d8adb50b1f13de52 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3969.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3970.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3970.json new file mode 100644 index 0000000000000000000000000000000000000000..e206e6e724af5108ae93e35efcd78b561330866e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3970.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3971.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3971.json new file mode 100644 index 0000000000000000000000000000000000000000..2a637ce0f8cfcc394dada34c04dfb3cb69b317d6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3971.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "table": 12, + "door": 9, + "bookshelf": 11, + "fan": 8 + }, + "true_order_per_spatial_code": "fan, door, bookshelf, table", + "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" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3972.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3972.json new file mode 100644 index 0000000000000000000000000000000000000000..bf9ab99166e51f83c96724990276e66422bb0503 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/3972.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4278.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4278.json new file mode 100644 index 0000000000000000000000000000000000000000..501da922cab22e8bd28abedac74289cbced923ce --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4278.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4279.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4279.json new file mode 100644 index 0000000000000000000000000000000000000000..2d2226c5a93cabcd86f7e307a6831a09be83536f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4279.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "A", + "answer_raw": "A", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4280.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4280.json new file mode 100644 index 0000000000000000000000000000000000000000..67fb0d27628a846cbc711e1df71d4bc410c8f187 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4280.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4438.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4438.json new file mode 100644 index 0000000000000000000000000000000000000000..4926e2c96cd79ae39c5fee8503ef3235be03a57c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4438.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4439.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4439.json new file mode 100644 index 0000000000000000000000000000000000000000..8ba5ca82bac21ea4433e5556175f9a7283bcf1b9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4439.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "1", + "answer_raw": "1", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4440.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4440.json new file mode 100644 index 0000000000000000000000000000000000000000..7de8fb1d590615cdff1d05be46c1839d68c0b9b8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4440.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "4", + "answer_raw": "4", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4441.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4441.json new file mode 100644 index 0000000000000000000000000000000000000000..143b9caac179dec8d90ec1903bb8916b1b47922e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4441.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4442.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4442.json new file mode 100644 index 0000000000000000000000000000000000000000..db07148ee91637b11d898411df7229dbdf2fb963 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4442.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "1", + "answer_raw": "1", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4443.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4443.json new file mode 100644 index 0000000000000000000000000000000000000000..d310260e62e4df1449279aa99c32fb96ee5da0fb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4443.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "1", + "answer_raw": "1", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4703.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4703.json new file mode 100644 index 0000000000000000000000000000000000000000..fc856b230a8f87d84a29fbd11f11990131032772 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4703.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "1.04", + "answer_raw": "1.04", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4704.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4704.json new file mode 100644 index 0000000000000000000000000000000000000000..13b637c72f4ad2cb43838d7075817d3786f9306b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4704.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "0.08", + "answer_raw": "0.08", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4705.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4705.json new file mode 100644 index 0000000000000000000000000000000000000000..2f0c2ea16b5014240536bca969268dd9e56508e8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4705.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "2.37", + "answer_raw": "2.37", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4706.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4706.json new file mode 100644 index 0000000000000000000000000000000000000000..8e860fe338aaa4d6f77313ed9384f56f466c6d90 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4706.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4708.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4708.json new file mode 100644 index 0000000000000000000000000000000000000000..0f10cf29e532f2df76522ca450b7ffb8af3e2f54 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4708.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "1.11", + "answer_raw": "1.11", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4709.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4709.json new file mode 100644 index 0000000000000000000000000000000000000000..582910a669bc488436c25213645f9f34b82e41a6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/4709.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "0.11", + "answer_raw": "0.11", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/5039.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/5039.json new file mode 100644 index 0000000000000000000000000000000000000000..53367be308847333e8119e75326e35d2410f9833 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/5039.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..a0fdd3b93480de1a7e31f71ecbbda0f873760180 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0648_00/_aggregate.json @@ -0,0 +1,16 @@ +{ + "scene_id": "scene0648_00", + "aggregate": { + "overall": 34.861111111111114, + "object_counting_MRA:.5:.95:.05": 18.333333333333336, + "object_abs_distance_MRA:.5:.95:.05": 41.66666666666667, + "object_size_estimation_MRA:.5:.95:.05": 23.333333333333336, + "room_size_estimation_MRA:.5:.95:.05": 60.0, + "object_rel_distance_accuracy": 33.33333333333333, + "object_rel_direction_accuracy": 22.22222222222222, + "route_planning_accuracy": 0.0, + "obj_appearance_order_accuracy": 80.0, + "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": "34.861, 18.333, 41.667, 23.333, 60.000, 33.333, 22.222, 0.000, 80.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3047.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3047.json new file mode 100644 index 0000000000000000000000000000000000000000..265de0b294c92bcd55cba74c06bd995a5e516001 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3047.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3048.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3048.json new file mode 100644 index 0000000000000000000000000000000000000000..4529428937ff25761cd26e75aa34bebd7f5d6430 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3048.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3049.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3049.json new file mode 100644 index 0000000000000000000000000000000000000000..23e6ea7df5a1d32d7f2eb93f1bd7fe0b160291bd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3049.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3050.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3050.json new file mode 100644 index 0000000000000000000000000000000000000000..3b2051464f97ceb38a93097795cca62a7201969c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3050.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3051.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3051.json new file mode 100644 index 0000000000000000000000000000000000000000..1e5d21c6984092a21e2ae6761a11e9aba0bbea5d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3051.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3311.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3311.json new file mode 100644 index 0000000000000000000000000000000000000000..6fd6b0fb4c6555222ef9aa31b84635fa3fc78706 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3311.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "101.0", + "answer_raw": "101.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3312.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3312.json new file mode 100644 index 0000000000000000000000000000000000000000..9ec7f616ffcfe6d5b607858984ce52d778a643aa --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3312.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "141.0", + "answer_raw": "141.0", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3786.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3786.json new file mode 100644 index 0000000000000000000000000000000000000000..49bde37673b681ec664abe6d736fa6b2bf216e8b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/3786.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "10.3", + "answer_raw": "10.3", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4453.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4453.json new file mode 100644 index 0000000000000000000000000000000000000000..46dc0da0a19969796fc3757485c6c9837ffa19c0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4453.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4454.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4454.json new file mode 100644 index 0000000000000000000000000000000000000000..292924daf49cf71b7bcf0c529acc491ea98538a0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4454.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "2", + "answer_raw": "2", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4455.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4455.json new file mode 100644 index 0000000000000000000000000000000000000000..5faa76d400fc4630cdc45d36da0661b09ab2dbd5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4455.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4456.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4456.json new file mode 100644 index 0000000000000000000000000000000000000000..908470a42c10a7618c886fc0444b05ec7f5476f8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4456.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "3", + "answer_raw": "3", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4457.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4457.json new file mode 100644 index 0000000000000000000000000000000000000000..efa71ce6caffb310fad51557370e859e8b00dae1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4457.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4458.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4458.json new file mode 100644 index 0000000000000000000000000000000000000000..641d98f7da3e61c3a8e9aadb4c81cab6b2fb1454 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4458.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "1", + "answer_raw": "1", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4459.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4459.json new file mode 100644 index 0000000000000000000000000000000000000000..487e93d2dd00310db0f5e5b3c4a7559b03a82cdc --- /dev/null +++ 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index 0000000000000000000000000000000000000000..0256d59f89a9564138713881442518d66a41f024 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0663_00/4722.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "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": "4.55", + "answer_raw": "4.55", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track 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"tabulated_results": "55.571, 52.857, 90.000, 25.000, 50.000, 60.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/3052.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/3052.json new file mode 100644 index 0000000000000000000000000000000000000000..1041b3653dd006a701feeb552e24dc7cf2f3595b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/3052.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0684_01", + "dataset": "scannet", + "question_id": 3052, + "question_type": 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/3323.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/3323.json new file mode 100644 index 0000000000000000000000000000000000000000..2de5dac7ad0c7bb93343c3ab1f9bb7aa3aa3d1a5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/3323.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0684_01", + "dataset": "scannet", + "question_id": 3323, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the table, measured 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"dataset": "scannet", + "question_id": 3790, + "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": "6.2", + "answer_given": "5.7", + "answer_raw": "5.7", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/4466.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/4466.json new file mode 100644 index 0000000000000000000000000000000000000000..f8de3d1bec7e20e6f0d85aa0b7136c1f562c1650 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/4466.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": 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Using Track Persistence/32/scene0684_01/4726.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0684_01", + "dataset": "scannet", + "question_id": 4726, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the telephone and the chair (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.5", + "answer_given": "0.58", + "answer_raw": "0.58", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/4727.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/4727.json new file mode 100644 index 0000000000000000000000000000000000000000..aa3b775956bac3328e2b2c366fd6a7c3ee28e6de --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/4727.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0684_01", + "dataset": "scannet", + "question_id": 4727, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the chair (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.6", + "answer_given": "1.79", + "answer_raw": "1.79", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using 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"answer_given": "2.3", + "answer_raw": "2.3", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/4729.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/4729.json new file mode 100644 index 0000000000000000000000000000000000000000..eeb729461c07b9aeaa4a9c94e6ccf1e6686b8327 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/4729.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0684_01", + "dataset": "scannet", + "question_id": 4729, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the door (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.2", + "answer_given": "1.29", + "answer_raw": "1.29", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..e6704685f31a927b90051f66dd2b7a02c12d3afb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0684_01/_aggregate.json @@ -0,0 +1,13 @@ +{ + "scene_id": "scene0684_01", + "aggregate": { + "overall": 64.99999999999999, + "object_counting_MRA:.5:.95:.05": 10.0, + "object_abs_distance_MRA:.5:.95:.05": 82.5, + "object_size_estimation_MRA:.5:.95:.05": 42.5, + "room_size_estimation_MRA:.5:.95:.05": 90.0, + "object_rel_distance_accuracy": 100.0, + "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": "65.000, 10.000, 82.500, 42.500, 90.000, 100.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3053.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3053.json new file mode 100644 index 0000000000000000000000000000000000000000..71574449c0e62ebab814a921a019a2bfe008dfae --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3053.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3053, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (window, towel, mirror, trash bin) is the closest to the door?", + "options": [ + "A. window", + "B. towel", + "C. mirror", + "D. trash bin" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3054.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3054.json new file mode 100644 index 0000000000000000000000000000000000000000..641ab6ce50f4b4f4575bc26f35be9fba631b5ec1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3054.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3054, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (window, door, towel, mirror) is the closest to the trash bin?", + "options": [ + "A. window", + "B. door", + "C. towel", + "D. mirror" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3327.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3327.json new file mode 100644 index 0000000000000000000000000000000000000000..ff30f14bfe470c6f62e04680bf604eb225fc5bde --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3327.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3327, + "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": "70", + "answer_given": "96.0", + "answer_raw": "96.0", + "score": 0.3 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3328.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3328.json new file mode 100644 index 0000000000000000000000000000000000000000..6c0b7ac194f5b1fb0bba0594869633349c5048c5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3328.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3328, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the towel, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "77", + "answer_given": "62.0", + "answer_raw": "62.0", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3330.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3330.json new file mode 100644 index 0000000000000000000000000000000000000000..7a6ac7a061910df422f616b31df34023cdb757f3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3330.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3330, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the trash bin, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "26", + "answer_given": "31.0", + "answer_raw": "31.0", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3610.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3610.json new file mode 100644 index 0000000000000000000000000000000000000000..378428fe2ed14406b98ed3fa1b57c07ae1b69db0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3610.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3610, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the towel and facing the door, is the trash bin 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).", + "options": [ + "A. front-left", + "B. back-left", + "C. back-right", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3611.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3611.json new file mode 100644 index 0000000000000000000000000000000000000000..af0093cae0bf5ce638895a8df19f1cade849d5ad --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3611.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3611, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the towel and facing the trash bin, is the door to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-left", + "B. back-right", + "C. front-left", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3612.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3612.json new file mode 100644 index 0000000000000000000000000000000000000000..ea7eab6e119c1f5241410abb04f2ce6b69847d0b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3612.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3612, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the door and facing the towel, is the trash bin 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).", + "options": [ + "A. back-left", + "B. front-right", + "C. back-right", + "D. front-left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3613.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3613.json new file mode 100644 index 0000000000000000000000000000000000000000..e46e381e3bea8a231a411979d896105b2e47f224 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3613.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3613, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the window and facing the towel, is the door to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. front-right", + "B. back-left", + "C. back-right", + "D. front-left" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3614.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3614.json new file mode 100644 index 0000000000000000000000000000000000000000..7324a4510a1533e4edad9ca3fee9d32463d3c1e7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3614.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3614, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the window and facing the door, is the towel 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).", + "options": [ + "A. back-right", + "B. front-left", + "C. front-right", + "D. back-left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3615.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3615.json new file mode 100644 index 0000000000000000000000000000000000000000..08781ab22c252862c37ecdb846d13af46f400b6b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3615.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3615, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the towel and facing the window, is the door to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. front-right", + "B. back-right", + "C. front-left", + "D. back-left" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3722.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3722.json new file mode 100644 index 0000000000000000000000000000000000000000..787175a0beaf63f16fef1e4798799af63fcd320b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3722.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3722, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the window and facing the door, is the trash bin to the left or the right of the door?", + "options": [ + "A. left", + "B. right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3723.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3723.json new file mode 100644 index 0000000000000000000000000000000000000000..cb4eb27d083cb4918100c8a3507500fc290dbb13 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3723.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3723, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the window and facing the trash bin, is the door to the left or the right of the trash bin?", + "options": [ + "A. left", + "B. right" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3724.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3724.json new file mode 100644 index 0000000000000000000000000000000000000000..04182284b2051ae5893fdf1f912d90b537ce05ad --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3724.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3724, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the door and facing the window, is the trash bin to the left or the right of the window?", + "options": [ + "A. right", + "B. left" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3793.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3793.json new file mode 100644 index 0000000000000000000000000000000000000000..094ba1b62a0bd58c0839a4221beb4a6afdc0095a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/3793.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 3793, + "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": "3.9", + "answer_given": "5.3", + "answer_raw": "5.3", + "score": 0.3 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4287.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4287.json new file mode 100644 index 0000000000000000000000000000000000000000..00d59025bd672183d733743f55973bfad7895641 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4287.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4287, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the window and facing the towel, is the trash bin 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": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4288.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4288.json new file mode 100644 index 0000000000000000000000000000000000000000..a5c7ebdff4e10189a899761fc364a7d995c787e5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4288.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4288, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the window and facing the trash bin, is the towel 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": "A", + "answer_raw": "A", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4289.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4289.json new file mode 100644 index 0000000000000000000000000000000000000000..8e8a67ee092d80d884f5bce59536543db69330e3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4289.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4289, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the towel and facing the window, is the trash bin 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. back", + "C. right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4290.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4290.json new file mode 100644 index 0000000000000000000000000000000000000000..6adf7e86501bf0af3331554d3a4c4deeeb93a5ee --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4290.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4290, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the window and facing the door, is the trash bin 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": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4291.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4291.json new file mode 100644 index 0000000000000000000000000000000000000000..0e2c8a4c70c6791d59781e54bb9b830516d4bad4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4291.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4291, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the window and facing the trash bin, is the door to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. right", + "B. back", + "C. left" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4292.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4292.json new file mode 100644 index 0000000000000000000000000000000000000000..b735cb8358afd87fa6668acb2fa35d32f25ca99f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4292.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4292, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the door and facing the window, is the trash bin 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": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4469.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4469.json new file mode 100644 index 0000000000000000000000000000000000000000..db8e262e0053fc266fb425e77325ea47efa7d84f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4469.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4469, + "question_type": "object_counting", + "question": "How many mirror(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "3", + "answer_given": "2", + "answer_raw": "2", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4731.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4731.json new file mode 100644 index 0000000000000000000000000000000000000000..0fe5074f8163091a55e4d868a2445b81a2f67f06 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4731.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4731, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the towel and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.8", + "answer_given": "0.02", + "answer_raw": "0.02", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4732.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4732.json new file mode 100644 index 0000000000000000000000000000000000000000..1c315397c6b32709ef2d2261015c3593639002eb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4732.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4732, + "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": "1.9", + "answer_given": "1.13", + "answer_raw": "1.13", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4733.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4733.json new file mode 100644 index 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"answer_given": "0.84", + "answer_raw": "0.84", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4735.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4735.json new file mode 100644 index 0000000000000000000000000000000000000000..ec97718bc48257f9096f5f2ba3d86378d214c72f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/4735.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0693_00", + "dataset": "scannet", + "question_id": 4735, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the trash bin and the towel (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.0", + "answer_given": "1.07", + "answer_raw": "1.07", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/5060.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/5060.json new file mode 100644 index 0000000000000000000000000000000000000000..32c8456add4177b1a4ce86d60bacc868c8ce8e2d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/5060.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": 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You want to navigate to the sink. 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 door 3. [please fill in] 4. Go forward until the sink. You have reached the final destination.", + "options": [ + "A. Turn Right, Turn Left", + "B. Turn Left, Turn Left", + "C. Turn Left, Turn Right", + "D. Turn Back, Turn Right" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..7b2f2891ebc28014af56ca597f61dd6439ed08eb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0693_00/_aggregate.json @@ -0,0 +1,15 @@ +{ + "scene_id": "scene0693_00", + "aggregate": { + "overall": 32.761904761904766, + "object_counting_MRA:.5:.95:.05": 40.0, + "object_abs_distance_MRA:.5:.95:.05": 36.0, + "object_size_estimation_MRA:.5:.95:.05": 56.666666666666664, + 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b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3058.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3058, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (radiator, pillow, table, door) is the closest to the mattress?", + "options": [ + "A. radiator", + "B. pillow", + "C. table", + "D. door" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3059.json 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"answer_expected": "D", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3060.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3060.json new file mode 100644 index 0000000000000000000000000000000000000000..e96cf60d54928958c234ca16eaea9dc68650df91 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3060.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3060, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (door, table, sofa, tv) is the closest to the mattress?", + "options": [ + "A. door", + "B. table", + "C. sofa", + "D. tv" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3061.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3061.json new file mode 100644 index 0000000000000000000000000000000000000000..37155abdc2fe49884e4d0e5b306f7c12fe53e5ea --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3061.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3061, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (tv, table, mattress, sofa) is the closest to the door?", + "options": [ + "A. tv", + "B. table", + "C. mattress", + "D. sofa" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3062.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3062.json new file mode 100644 index 0000000000000000000000000000000000000000..010e5adc96acd7a810143dc9978443b17c6c78e9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3062.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3062, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (chair, door, mattress, table) is the closest to the radiator?", + "options": [ + "A. chair", + "B. door", + "C. mattress", + "D. table" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3063.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3063.json new file mode 100644 index 0000000000000000000000000000000000000000..03457fcd379bc599bf8499f8629c1f79f86b6f34 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3063.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3063, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (mattress, tv, pillow, radiator) is the closest to the door?", + "options": [ + "A. mattress", + "B. tv", + "C. pillow", + "D. radiator" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3064.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3064.json new file mode 100644 index 0000000000000000000000000000000000000000..74bf1b507b4e760e0ae63498b53017a2952411d0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3064.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3064, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (tv, table, sofa, radiator) is the closest to the door?", + "options": [ + "A. tv", + "B. table", + "C. sofa", + "D. radiator" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3341.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3341.json new file mode 100644 index 0000000000000000000000000000000000000000..7938af5e151492b64aafdd4eeedfbd2c6b466d47 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3341.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3341, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the mattress, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "191", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3342.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3342.json new file mode 100644 index 0000000000000000000000000000000000000000..f5ef7f21d256e91ac9b1d4750a3cbbbc25952e1e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3342.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3342, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the sofa, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "192", + "answer_given": "135.0", + "answer_raw": "135.0", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3343.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3343.json new file mode 100644 index 0000000000000000000000000000000000000000..8578b57c732abef7eaeefcf193050899a9e6b3ee --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3343.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3343, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the radiator, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "172", + "answer_given": "131.0", + "answer_raw": "131.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3344.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3344.json new file mode 100644 index 0000000000000000000000000000000000000000..c18a7d5e8bcdc7ecefe8c1206b6984e44eb3691c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3344.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3344, + "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": "202", + "answer_given": "67.0", + "answer_raw": "67.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3345.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3345.json new file mode 100644 index 0000000000000000000000000000000000000000..89330045e3da9d371fd591ece89a807dd2dd8f0a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3345.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3345, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the table, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "280", + "answer_given": "190.0", + "answer_raw": "190.0", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3795.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3795.json new file mode 100644 index 0000000000000000000000000000000000000000..31f29f1d722c87a3fdc89576c797f829fc00f1fc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/3795.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 3795, + "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": "26.9", + "answer_given": "23.8", + "answer_raw": "23.8", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4471.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4471.json new file mode 100644 index 0000000000000000000000000000000000000000..147be52f615c830e8e67cce966e694d2a01ef37f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4471.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4471, + "question_type": "object_counting", + "question": "How many chair(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "10", + "answer_given": "9", + "answer_raw": "9", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4472.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4472.json new file mode 100644 index 0000000000000000000000000000000000000000..dc3054798e227bd3fa83a13090d705d34310cd13 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4472.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4472, + "question_type": "object_counting", + "question": "How many pillow(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "1", + "answer_raw": "1", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4473.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4473.json new file mode 100644 index 0000000000000000000000000000000000000000..01d28271004bc53916cd1d16774a4371fa8e0dfe --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4473.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4473, + "question_type": "object_counting", + "question": "How many tv(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "2", + "answer_raw": "2", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4743.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4743.json new file mode 100644 index 0000000000000000000000000000000000000000..21ef5b7139b7d20f19a84f1267ef28c8967e6d27 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4743.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4743, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the sofa and the mattress (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.0", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4744.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4744.json new file mode 100644 index 0000000000000000000000000000000000000000..4c63ab7cfc576636993a03441ab822c8afb93a7d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4744.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4744, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the radiator and the mattress (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "4.2", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4745.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4745.json new file mode 100644 index 0000000000000000000000000000000000000000..2697e19e6bb18178421e754d4423532614d6b0a3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4745.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4745, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the sofa (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "4.2", + "answer_given": "0.72", + "answer_raw": "0.72", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4746.json 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"5.14", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4747.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4747.json new file mode 100644 index 0000000000000000000000000000000000000000..8959b38eb5c0426cd360e1878bbef326edd8eb18 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4747.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4747, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the radiator (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.1", + "answer_given": "1.11", + "answer_raw": "1.11", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4748.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4748.json new file mode 100644 index 0000000000000000000000000000000000000000..c9cc3c4ba0f4607435be980080d58587225ec656 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4748.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4748, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the door (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.4", + "answer_given": "1.97", + "answer_raw": "1.97", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4984.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4984.json new file mode 100644 index 0000000000000000000000000000000000000000..ee16b1bdb9c3eaf19300102e6263ee40bb61bd80 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/4984.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0696_01", + "dataset": "scannet", + "question_id": 4984, + "question_type": "route_planning", + "question": "You are a robot beginning at the microwave and facing the table. You want to navigate to the sofa. 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 sofa. You have reached the final destination.", + "options": [ + "A. Turn Left", + "B. Turn Right", + "C. Turn Back" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..b32338670594a4dfa7cbf561b147511c82bc75c7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0696_01/_aggregate.json @@ -0,0 +1,14 @@ +{ + "scene_id": "scene0696_01", + "aggregate": { + "overall": 35.55555555555556, + "object_counting_MRA:.5:.95:.05": 66.66666666666666, + "object_abs_distance_MRA:.5:.95:.05": 36.66666666666667, + "object_size_estimation_MRA:.5:.95:.05": 30.0, + "room_size_estimation_MRA:.5:.95:.05": 80.0, + "object_rel_distance_accuracy": 0.0, + "route_planning_accuracy": 0.0, + "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, route_planning_accuracy", + "tabulated_results": "35.556, 66.667, 36.667, 30.000, 80.000, 0.000, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3081.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3081.json new file mode 100644 index 0000000000000000000000000000000000000000..c108a8f4195b05951096c3556f3a3f7c1331e5b2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3081.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3081, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (window, chair, table, closet) is the closest to the nightstand?", + "options": [ + "A. window", + "B. chair", + "C. table", + "D. closet" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3082.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3082.json new file mode 100644 index 0000000000000000000000000000000000000000..8e64193585972354437eed26e54cf3a8fec6dac6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3082.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3082, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (nightstand, backpack, bed, door) is the closest to the closet?", + "options": [ + "A. nightstand", + "B. backpack", + "C. bed", + "D. door" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3083.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3083.json new file mode 100644 index 0000000000000000000000000000000000000000..8482242536136d020ba6c3c26826861618ad434c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3083.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3083, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (backpack, window, chair, pillow) is the closest to the closet?", + "options": [ + "A. backpack", + "B. window", + "C. chair", + "D. pillow" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3084.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3084.json new file mode 100644 index 0000000000000000000000000000000000000000..297b3b665a97e4ce9b82930d164ff1c3a56a72c8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3084.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3084, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, window, pillow, backpack) is the closest to the closet?", + "options": [ + "A. table", + "B. window", + "C. pillow", + "D. backpack" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3351.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3351.json new file mode 100644 index 0000000000000000000000000000000000000000..b73f6073a44d2793ed1876cefa27d2bed6140169 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3351.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3351, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the bed, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "186", + "answer_given": "142.0", + "answer_raw": "142.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3352.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3352.json new file mode 100644 index 0000000000000000000000000000000000000000..11713024370fcc0b07c4aaccd866e7400719cbad --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3352.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3352, + "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": "77", + "answer_given": "55.0", + "answer_raw": "55.0", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3353.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3353.json new file mode 100644 index 0000000000000000000000000000000000000000..d63a59dc409d37de1a705db2f97e8d6cf132fe09 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3353.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3353, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the nightstand, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "80", + "answer_given": "66.0", + "answer_raw": "66.0", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3354.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3354.json new file mode 100644 index 0000000000000000000000000000000000000000..5a814d028a2482f0e1570cf14a46ca298a248dc5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3354.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3354, + "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": "184", + "answer_given": "181.0", + "answer_raw": "181.0", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3355.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3355.json new file mode 100644 index 0000000000000000000000000000000000000000..2bc78e1f00134920ba17956adf59ccbb6f536a20 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3355.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3355, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the table, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "136", + "answer_given": "108.0", + "answer_raw": "108.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3621.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3621.json new file mode 100644 index 0000000000000000000000000000000000000000..b8753cd2005c3e88efcddbb335bdd1b9364733bf --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3621.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3621, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the bed and facing the closet, is the table 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).", + "options": [ + "A. back-left", + "B. front-right", + "C. back-right", + "D. front-left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3622.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3622.json new file mode 100644 index 0000000000000000000000000000000000000000..d38179f41e23cc0bb52ca3ccd66b58afb15f70c0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3622.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3622, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the bed and facing the table, is the closet 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).", + "options": [ + "A. back-right", + "B. front-right", + "C. back-left", + "D. front-left" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3623.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3623.json new file mode 100644 index 0000000000000000000000000000000000000000..c6b355582382f7473c44e45db5018d32a7063c47 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3623.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3623, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the closet and facing the bed, is the table 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).", + "options": [ + "A. back-right", + "B. back-left", + "C. front-left", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3624.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3624.json new file mode 100644 index 0000000000000000000000000000000000000000..b45f6af7814358f4e7fb3a74a86eab1c5537aeed --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3624.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3624, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the bed and facing the chair, is the closet 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).", + "options": [ + "A. front-left", + "B. back-left", + "C. back-right", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3625.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3625.json new file mode 100644 index 0000000000000000000000000000000000000000..04ae64b5b1cf0ca5f8146903a0f06d7ef871905a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3625.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3625, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the bed and facing the closet, is the chair 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).", + "options": [ + "A. back-left", + "B. front-left", + "C. back-right", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3728.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3728.json new file mode 100644 index 0000000000000000000000000000000000000000..3ba3141744dda18f9b2b48ea9684dee6b138c849 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3728.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3728, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the chair and facing the nightstand, is the closet to the left or the right of the nightstand?", + "options": [ + "A. left", + "B. right" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3729.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3729.json new file mode 100644 index 0000000000000000000000000000000000000000..20fb22eb290fb066807fbf02a77ad93eb1273ae2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3729.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3729, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the chair and facing the closet, is the nightstand to the left or the right of the closet?", + "options": [ + "A. left", + "B. right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3730.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3730.json new file mode 100644 index 0000000000000000000000000000000000000000..079ded5a5029a22f3265ca6f26e8d9465808a86b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3730.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3730, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the nightstand and facing the chair, is the closet to the left or the right of the chair?", + "options": [ + "A. right", + "B. left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3797.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3797.json new file mode 100644 index 0000000000000000000000000000000000000000..cbd7ae3bbc1d4cbe36317e1f8804f02c50e81bc6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/3797.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 3797, + "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": "20.4", + "answer_given": "8.4", + "answer_raw": "8.4", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4037.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4037.json new file mode 100644 index 0000000000000000000000000000000000000000..b001ee2c5e8f3605b1723ee9fc809b6508406c62 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4037.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4037, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: closet, table, pillow, door?", + "options": [ + "A. pillow, door, table, closet", + "B. closet, pillow, door, table", + "C. closet, table, pillow, door", + "D. door, table, pillow, closet" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4038.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4038.json new file mode 100644 index 0000000000000000000000000000000000000000..f851addd9046269b2d9c89e771bc4b175c17a824 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4038.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4038, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: nightstand, door, closet, chair?", + "options": [ + "A. chair, nightstand, door, closet", + "B. door, closet, chair, nightstand", + "C. nightstand, door, closet, chair", + "D. nightstand, door, chair, closet" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4039.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4039.json new file mode 100644 index 0000000000000000000000000000000000000000..631e39fc52d5f55e347d6a1075e119bdf105e3f8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4039.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4039, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: pillow, chair, closet, door?", + "options": [ + "A. pillow, chair, closet, door", + "B. door, closet, chair, pillow", + "C. pillow, door, chair, closet", + "D. pillow, closet, door, chair" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4040.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4040.json new file mode 100644 index 0000000000000000000000000000000000000000..9bb1be7967e48b846b55692830dfa3ed6f0c1418 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4040.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4040, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, closet, door, bed?", + "options": [ + "A. door, bed, closet, table", + "B. bed, door, table, closet", + "C. closet, table, bed, door", + "D. table, closet, door, bed" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4041.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4041.json new file mode 100644 index 0000000000000000000000000000000000000000..d4ce91fda792f5dbc7d8742944dc3149905339f7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4041.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4041, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: door, bed, chair, closet?", + "options": [ + "A. closet, bed, chair, door", + "B. door, bed, chair, closet", + "C. closet, chair, door, bed", + "D. bed, door, chair, closet" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4042.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4042.json new file mode 100644 index 0000000000000000000000000000000000000000..a622145646565888c69676edb01cbf23d868e6a7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4042.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4042, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: backpack, bed, door, closet?", + "options": [ + "A. backpack, bed, door, closet", + "B. bed, door, backpack, closet", + "C. bed, backpack, closet, door", + "D. closet, backpack, bed, door" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4043.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4043.json new file mode 100644 index 0000000000000000000000000000000000000000..1b711bd854cd1fc2c593f90ae3eac2313a5b4a5a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4043.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4043, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: pillow, backpack, closet, door?", + "options": [ + "A. pillow, door, backpack, closet", + "B. door, pillow, backpack, closet", + "C. door, backpack, pillow, closet", + "D. pillow, backpack, closet, door" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4044.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4044.json new file mode 100644 index 0000000000000000000000000000000000000000..13100de4c6ef024cc9758c23e07a05ce12307892 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4044.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4044, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, door, nightstand, closet?", + "options": [ + "A. closet, nightstand, table, door", + "B. table, door, closet, nightstand", + "C. nightstand, door, table, closet", + "D. table, door, nightstand, closet" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4045.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4045.json new file mode 100644 index 0000000000000000000000000000000000000000..08181310b0db87d6c059bc7daf0630d86f369567 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4045.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + 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Instances Using Track Persistence/32/scene0699_00/4302.json new file mode 100644 index 0000000000000000000000000000000000000000..1c166730e9e1d9761c4d0e1537525947834afbb6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4302.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4302, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the bed and facing the closet, is the table 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": "B", + "answer_raw": "B", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4303.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4303.json new file mode 100644 index 0000000000000000000000000000000000000000..20002337f7226697ffd513077b48c1bec027eb13 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4303.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4303, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the bed and facing the table, 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. left", + "B. back", + "C. right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4304.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4304.json new file mode 100644 index 0000000000000000000000000000000000000000..e906cfc2d97d9cff64d57437a9e0c2d2989a1647 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4304.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + 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b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4479.json new file mode 100644 index 0000000000000000000000000000000000000000..646ca85e0a6dc1c22dc3fb1ca8704650b4bbb397 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4479.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4479, + "question_type": "object_counting", + "question": "How many pillow(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "2", + "answer_raw": "2", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4480.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4480.json new file mode 100644 index 0000000000000000000000000000000000000000..8a1d11694a3d1ba501c53a9d30150f230633bc0b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4480.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4480, + "question_type": "object_counting", + "question": "How many backpack(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "1", + "answer_raw": "1", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4481.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4481.json new file mode 100644 index 0000000000000000000000000000000000000000..58275d15057c8d8f521dd4c100b58ed592a636a0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4481.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4481, + "question_type": "object_counting", + "question": "How many door(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "3", + "answer_raw": "3", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4756.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4756.json new file mode 100644 index 0000000000000000000000000000000000000000..df39e7701e90a81f724f360be36df0139ab6c4cd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4756.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4756, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the bed (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.0", + "answer_given": "0.96", + "answer_raw": "0.96", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4757.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4757.json new file mode 100644 index 0000000000000000000000000000000000000000..56d7d9224d94afa11059f12ff932413ef99b6224 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4757.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4757, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the closet and the chair (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.1", + "answer_given": "1.54", + "answer_raw": "1.54", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4758.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4758.json new file mode 100644 index 0000000000000000000000000000000000000000..c7c2261604b039420393c3b6df51d95bb0d79218 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4758.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4758, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the nightstand (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.4", + "answer_given": "2.4", + "answer_raw": "2.4", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4759.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4759.json new file mode 100644 index 0000000000000000000000000000000000000000..b793cea305339b3e616f52ecc621904815a8fd58 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4759.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4759, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the nightstand and the chair (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.9", + "answer_given": "2.91", + "answer_raw": "2.91", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4760.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4760.json new file mode 100644 index 0000000000000000000000000000000000000000..1fdc7660c5b867c83f1fee6fbeacec7d73e4f35e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4760.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4760, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the chair and the bed (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.4", + "answer_given": "1.47", + "answer_raw": "1.47", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4761.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4761.json new file mode 100644 index 0000000000000000000000000000000000000000..8b33b8ff9a7f3d0568d80882d1477a22807e37f0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4761.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4761, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the closet and the nightstand (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.9", + "answer_given": "2.14", + "answer_raw": "2.14", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4762.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4762.json new file mode 100644 index 0000000000000000000000000000000000000000..65fc9f4772c305a37350df1deb725cc26a0b9fc7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/4762.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 4762, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the closet and the bed (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.1", + "answer_given": "1.35", + "answer_raw": "1.35", + "score": 0.3 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/5101.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/5101.json new file mode 100644 index 0000000000000000000000000000000000000000..fd76f664ce00c8f508d7894d88c75fa86008f5bc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/32/scene0699_00/5101.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:32", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 32, + "scene": "scene0699_00", + "dataset": "scannet", + "question_id": 5101, + "question_type": "route_planning", + "question": "You are a robot beginning at the standing by the air conditioner and facing the outside of room. You want to navigate to the toilet. 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 wall 3. [please fill in] 4. Go forward until the door 5. [please fill in] 6. Go forward until the door of toilet 7. [please fill in]. You have reached the final destination.", + "options": [ + "A. Turn Right, Turn Right, Turn Left, Turn Left", + "B. Turn Left, Turn Right, Turn Left, Turn Right", + "C. Turn Left, Turn Left, Turn Right, Turn Left", + "D. 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newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/21d970d8de/1981.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/21d970d8de/1981.json new file mode 100644 index 0000000000000000000000000000000000000000..e366034eb9e7d5e6b98641a485c108c859100131 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/21d970d8de/1981.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": "21d970d8de", + "dataset": "scannetpp", + "question_id": 1981, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these 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"question_id": 1985, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (ceiling light, chair, telephone, tv) is the closest to the door?", + "options": [ + "A. ceiling light", + "B. chair", + "C. telephone", + "D. tv" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/21d970d8de/1986.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/21d970d8de/1986.json new file mode 100644 index 0000000000000000000000000000000000000000..a773a6690f3d09f2ff9aecb241020e61e08bfd4f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/21d970d8de/1986.json @@ -0,0 +1,25 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No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/21d970d8de/1988.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/21d970d8de/1988.json new file mode 100644 index 0000000000000000000000000000000000000000..917a88687fd5c4ebfa56a5d2773a91870d3add56 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/21d970d8de/1988.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": "21d970d8de", + "dataset": "scannetpp", + "question_id": 1988, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (tv, whiteboard, telephone, chair) is the closest to the door?", + "options": [ + "A. tv", + "B. whiteboard", + "C. telephone", + "D. chair" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/21d970d8de/1989.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/21d970d8de/1989.json new file mode 100644 index 0000000000000000000000000000000000000000..316b991f4240d9282dee6d9bac2b61ae05cd5e7c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/21d970d8de/1989.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:64", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + 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You want to navigate to the window in the corner farthest from the door. You will perform the following actions (Note: for each [please fill in], choose either 'turn back,' 'turn left,' or 'turn right.'): 1. [please fill in] 2. Go forward until the sink. 3. [please fill in] 4. Go forward until the wall. 5. [please fill in] 6. Go forward until the window. You have reached the final destination.", + "options": [ + "A. Turn Right, Turn Left, Turn Left", + "B. Turn Back, Turn Left, Turn Left", + "C. Turn Back, Turn Right, Turn Right", + "D. Turn Left, Turn Right, Turn Left" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/21d970d8de/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/21d970d8de/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..88fba8ad513b15c50e1d09e1d5e0b3f16e681da1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/21d970d8de/_aggregate.json @@ -0,0 +1,14 @@ +{ + "scene_id": "21d970d8de", + "aggregate": { + "overall": 63.88888888888889, + "object_counting_MRA:.5:.95:.05": 50.0, + "object_abs_distance_MRA:.5:.95:.05": 100.0, + "object_size_estimation_MRA:.5:.95:.05": 50.0, + 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Persistence/64/3e8bba0176/1535.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": "3e8bba0176", + "dataset": "scannetpp", + "question_id": 1535, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the coat rack and facing the paper bag, is the door to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. left", + "B. back", + "C. right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1536.json 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left", + "C. right" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1537.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1537.json new file mode 100644 index 0000000000000000000000000000000000000000..ee3f9544f38fbcda9e9d3ff045a43a153badedb2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1537.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": "3e8bba0176", + "dataset": "scannetpp", + "question_id": 1537, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the paper bag and facing the coat rack, is the door to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. left", + "B. back", + "C. right" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1646.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1646.json new file mode 100644 index 0000000000000000000000000000000000000000..4bbf5710801b74c4fdaed3ca37d9c93634720c12 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1646.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": "3e8bba0176", + "dataset": "scannetpp", + "question_id": 1646, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the paper bag and the coat rack (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.8", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1647.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1647.json new file mode 100644 index 0000000000000000000000000000000000000000..e56e5a5f0545c941e5842dae330d80032e31d74b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1647.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": "3e8bba0176", + "dataset": "scannetpp", + "question_id": 1647, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the coat rack (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.9", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1648.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1648.json new file mode 100644 index 0000000000000000000000000000000000000000..8726ea316174d0bb54750c8a701141c429102f36 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1648.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": "3e8bba0176", + "dataset": "scannetpp", + "question_id": 1648, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the paper bag (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.8", + "answer_given": "1.37", + "answer_raw": "1.37", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1840.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1840.json new file mode 100644 index 0000000000000000000000000000000000000000..2a229543ddc902a07a4222d44467fdf0ab860ca5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1840.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": "3e8bba0176", + "dataset": "scannetpp", + "question_id": 1840, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the coat rack and facing the paper bag, is the door to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-right", + "B. front-right", + "C. back-left", + "D. front-left" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1841.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1841.json new file mode 100644 index 0000000000000000000000000000000000000000..87c31cb5ad8ec977b61c37f96f4d05d4090b0371 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1841.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": "3e8bba0176", + "dataset": "scannetpp", + "question_id": 1841, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the coat rack and facing the door, is the paper bag to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. front-left", + "B. back-right", + "C. front-right", + "D. back-left" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1842.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1842.json new file mode 100644 index 0000000000000000000000000000000000000000..ea5cb611c37999e118e0f16dbbb5047bb30eb9f1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1842.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": "3e8bba0176", + "dataset": "scannetpp", + "question_id": 1842, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the paper bag and facing the coat rack, is the door to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. front-right", + "B. back-left", + "C. front-left", + "D. back-right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1967.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1967.json new file mode 100644 index 0000000000000000000000000000000000000000..0de37dfa748c792e6875ae3548a15867aa1ef71b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1967.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": "3e8bba0176", + "dataset": "scannetpp", + "question_id": 1967, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (keyboard, ceiling light, coat rack, monitor) is the closest to the door?", + "options": [ + "A. keyboard", + "B. ceiling light", + "C. coat rack", + "D. monitor" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1968.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1968.json new file mode 100644 index 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1969.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1969.json new file mode 100644 index 0000000000000000000000000000000000000000..bfb45e93aab619902552eb848e7d2ecceb8b02c7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1969.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": "3e8bba0176", + "dataset": "scannetpp", + "question_id": 1969, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (ceiling light, chair, table, paper bag) is the closest to the door?", + "options": [ + "A. ceiling light", + "B. chair", + "C. table", + "D. paper bag" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1970.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1970.json new file mode 100644 index 0000000000000000000000000000000000000000..9c39b5510f6a92c6acd9c2511af03587b3fd5164 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/1970.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": "3e8bba0176", + "dataset": "scannetpp", + "question_id": 1970, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (door, keyboard, monitor, trash can) is the closest to the paper bag?", + "options": [ + "A. door", + "B. keyboard", + "C. monitor", + "D. trash can" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2233.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2233.json new file mode 100644 index 0000000000000000000000000000000000000000..0aaeae68b3d4acb8931efda1548e7f072a6c36da --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2233.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": "3e8bba0176", + "dataset": "scannetpp", + "question_id": 2233, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the coat rack, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "183", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2234.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2235.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2235.json new file mode 100644 index 0000000000000000000000000000000000000000..602de756ce184edf0ba567c2d5bc376c30ead718 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2235.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": "3e8bba0176", + "dataset": "scannetpp", + "question_id": 2235, + "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": "210", + "answer_given": "127.0", + "answer_raw": "127.0", + "score": 0.3 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2440.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2440.json new file mode 100644 index 0000000000000000000000000000000000000000..5b3198d64745eeaa64424323e0cd05140ffb8c7e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2440.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": "3e8bba0176", + "dataset": "scannetpp", + "question_id": 2440, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the coat rack and facing the paper bag, is the door to the left or the right of the paper bag?", + "options": [ + "A. right", + "B. left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2441.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2441.json new file mode 100644 index 0000000000000000000000000000000000000000..80344c0a1cbf77dc5c5017356144aaa57d0f25ff --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2441.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": 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/dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2442.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": "3e8bba0176", + "dataset": "scannetpp", + "question_id": 2442, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the paper bag and facing the coat rack, is the door to the left or the right of the coat rack?", + "options": [ + "A. right", + "B. left" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2532.json 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2533.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2533.json new file mode 100644 index 0000000000000000000000000000000000000000..d7760b8c501933e46cc4822b4e68754ab08a8aa3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3e8bba0176/2533.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": "3e8bba0176", + "dataset": "scannetpp", + "question_id": 2533, + "question_type": "object_counting", + "question": "How many whiteboard(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": 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"dataset": "scannetpp", + "question_id": 1654, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the telephone and the exhaust fan (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.1", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/1655.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/1655.json new file mode 100644 index 0000000000000000000000000000000000000000..f9d8db26cf58608df7beb4246c72889bd31ae9df --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/1655.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": 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+++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/1843.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": "3f15a9266d", + "dataset": "scannetpp", + "question_id": 1843, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the door and facing the computer mouse, is the exhaust fan 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).", + "options": [ + "A. front-right", + "B. back-left", + "C. front-left", + "D. back-right" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/1844.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/1844.json new file mode 100644 index 0000000000000000000000000000000000000000..7926b46901dbbfb2282c63c897273bdd3bf622cc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/1844.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": "3f15a9266d", + "dataset": "scannetpp", + "question_id": 1844, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the exhaust fan and facing the door, is the computer mouse 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).", + "options": [ + "A. back-left", + "B. front-left", + "C. back-right", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/1972.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/1972.json new file mode 100644 index 0000000000000000000000000000000000000000..540f3b4613a2844fdc3f0b4f9b51e9902a14042b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/1972.json @@ -0,0 +1,25 @@ +{ + "model": 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new file mode 100644 index 0000000000000000000000000000000000000000..a2d110ef617c5e33cdc4575d236b5efcd23d86c7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/1973.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": "3f15a9266d", + "dataset": "scannetpp", + "question_id": 1973, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (monitor, door, bookshelf, ceiling light) is the closest to the telephone?", + "options": [ + "A. monitor", + "B. door", + "C. bookshelf", + "D. ceiling light" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/1974.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/1974.json new file mode 100644 index 0000000000000000000000000000000000000000..043206b763b49416baaa1335c67536f3ec673b19 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/1974.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": "3f15a9266d", + "dataset": "scannetpp", + "question_id": 1974, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (exhaust fan, door, chair, monitor) is the closest to the telephone?", + "options": [ + "A. exhaust fan", + "B. door", + "C. chair", + "D. monitor" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "D", + "answer_raw": "D", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2236.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2236.json new file mode 100644 index 0000000000000000000000000000000000000000..8c006e2d7cb072d81cbb63c6865ac01a797651e9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2236.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:64", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": 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Persistence/64/3f15a9266d/2237.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": "3f15a9266d", + "dataset": "scannetpp", + "question_id": 2237, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the exhaust fan, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "34", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2238.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2238.json new file mode 100644 index 0000000000000000000000000000000000000000..156c90386ee5f992e954bcf364f7e5c45ed11627 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2238.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": "3f15a9266d", + "dataset": "scannetpp", + "question_id": 2238, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the telephone, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "24", + "answer_given": "22.0", + "answer_raw": "22.0", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track 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"answer_given": "9.0", + "answer_raw": "9.0", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2240.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2240.json new file mode 100644 index 0000000000000000000000000000000000000000..ca552314fb21d0d48d6b7644886cf8ab686e1893 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2240.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": "3f15a9266d", + "dataset": "scannetpp", + "question_id": 2240, + "question_type": "object_size_estimation", + "question": 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"uniform", + "tracking": "tracking", + "number_of_frames": 64, + "scene": "3f15a9266d", + "dataset": "scannetpp", + "question_id": 2443, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the door and facing the telephone, is the keyboard to the left or the right of the telephone?", + "options": [ + "A. right", + "B. left" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2444.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2444.json new file mode 100644 index 0000000000000000000000000000000000000000..75d529ee6f8bcbaa33ae79d92950fba4de854416 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2444.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": "3f15a9266d", + "dataset": "scannetpp", + "question_id": 2444, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the door and facing the keyboard, is the telephone to the left or the right of the keyboard?", + "options": [ + "A. right", + "B. left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2445.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2445.json new file mode 100644 index 0000000000000000000000000000000000000000..8ed5091a7d1e037e156f262c962922218af36624 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2445.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": "3f15a9266d", + "dataset": "scannetpp", + "question_id": 2445, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the telephone and facing the door, is the keyboard to the left or the right of the door?", + "options": [ + "A. right", + "B. left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2539.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2539.json new file mode 100644 index 0000000000000000000000000000000000000000..28e46b25d429940062a8ffdd5bb63289b6ca9741 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2539.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": "3f15a9266d", + "dataset": "scannetpp", + "question_id": 2539, + "question_type": "object_counting", + "question": "How many chair(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "4", + "answer_given": "4", + "answer_raw": "4", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2540.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2540.json new file mode 100644 index 0000000000000000000000000000000000000000..7700f862598c951dc24e87c6f61f7be945ff969e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2540.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": "3f15a9266d", + "dataset": "scannetpp", + "question_id": 2540, + "question_type": "object_counting", + "question": "How many bookshelf(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "2", + "answer_raw": "2", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2541.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2541.json new file mode 100644 index 0000000000000000000000000000000000000000..a8bd3f437d6dc677db8561ca00df27f747f703aa --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2541.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": "3f15a9266d", + "dataset": "scannetpp", + "question_id": 2541, + "question_type": "object_counting", + "question": "How many ceiling light(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "1", + "answer_raw": "1", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2542.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2542.json new file mode 100644 index 0000000000000000000000000000000000000000..4a3b6e8933ff86c1c4a6b7e8e51f681d9073eb03 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2542.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": "3f15a9266d", + "dataset": "scannetpp", + "question_id": 2542, + "question_type": "object_counting", + "question": "How many cup(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "3", + "answer_given": "1", + "answer_raw": "1", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2543.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2543.json new file mode 100644 index 0000000000000000000000000000000000000000..7f3112bde9dd15e00f0a319479a8d19c7c87f095 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2543.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": "3f15a9266d", + "dataset": "scannetpp", + "question_id": 2543, + "question_type": "object_counting", + "question": "How many monitor(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "3", + "answer_raw": "3", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2672.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2672.json new file mode 100644 index 0000000000000000000000000000000000000000..4070317dd275c20666983869c2f2ab56a303dc38 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/2672.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": "3f15a9266d", + "dataset": "scannetpp", + "question_id": 2672, + "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": "11.9", + "answer_given": "12.9", + "answer_raw": "12.9", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/5095.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/5095.json new file mode 100644 index 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You want to navigate to the the table with two monitors. 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 table with two monitors. You have reached the final destination.", + "options": [ + "A. Turn Right", + "B. Turn Back", + "C. Turn Left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..011443c86d88fb9d46b20c652eea473d74c87c72 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/3f15a9266d/_aggregate.json @@ -0,0 +1,15 @@ +{ + "scene_id": "3f15a9266d", + "aggregate": { + "overall": 48.775510204081634, + "object_counting_MRA:.5:.95:.05": 44.00000000000001, + "object_abs_distance_MRA:.5:.95:.05": 41.42857142857142, + "object_size_estimation_MRA:.5:.95:.05": 65.99999999999999, + "room_size_estimation_MRA:.5:.95:.05": 90.0, + "object_rel_distance_accuracy": 66.66666666666666, + "object_rel_direction_accuracy": 33.33333333333333, + "route_planning_accuracy": 0.0, + "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", + "tabulated_results": "48.776, 44.000, 41.429, 66.000, 90.000, 66.667, 33.333, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41125731/5027.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41125731/5027.json new file mode 100644 index 0000000000000000000000000000000000000000..20b9319bd7f0aa9985e9a585f65713785b52f1a7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41125731/5027.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": "41125731", + "dataset": "arkitscenes", + "question_id": 5027, + "question_type": "route_planning", + "question": "You are a robot beginning at the nightstand and facing the nightstand. You want to navigate to the the wardrobe with two mirrors on it. 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 end of the bed. 3. [please fill in] 4. Go forward until the bottom-right corner of the bed. 5. [please fill in] 6. Go forward until the wardrobe. You have reached the final destination.", + "options": [ + "A. Turn Left, Turn Right, Turn Right", + "B. Turn Back, Turn Left, Turn Left", + "C. Turn Left, Turn Left, Turn Left", + "D. Turn Right, Turn Right, Turn Left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41125731/534.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41125731/534.json new file mode 100644 index 0000000000000000000000000000000000000000..e02479057604cb6b68541545195f7790810f973c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41125731/534.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": "41125731", + "dataset": "arkitscenes", + "question_id": 534, + "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": "23.6", + "answer_given": "21.6", + "answer_raw": "21.6", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41125731/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41125731/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..51a5cedb56c7637fb58c952dce4a06db429fa3cc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41125731/_aggregate.json @@ -0,0 +1,10 @@ +{ + "scene_id": "41125731", + "aggregate": { + "overall": 45.0, + "room_size_estimation_MRA:.5:.95:.05": 90.0, + "route_planning_accuracy": 0.0, + "tabulated_keys": "overall, room_size_estimation_MRA:.5:.95:.05, route_planning_accuracy", + "tabulated_results": "45.000, 90.000, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/177.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/177.json new file mode 100644 index 0000000000000000000000000000000000000000..9655d3a78526290bdd7fe29fae89fb9075a7fce3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/177.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": "41142280", + "dataset": "arkitscenes", + "question_id": 177, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the bathtub, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "167", + "answer_given": "157.0", + "answer_raw": "157.0", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/178.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/178.json new file mode 100644 index 0000000000000000000000000000000000000000..3c962673b8c96255046b82f8aa5253f46f940b7c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/178.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": "41142280", + "dataset": "arkitscenes", + "question_id": 178, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the toilet, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "78", + "answer_given": "67.0", + "answer_raw": "67.0", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/5127.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/5127.json new file mode 100644 index 0000000000000000000000000000000000000000..a5604c3b96f2af7d8990eaf57d5ecea9f5b81258 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/5127.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": "41142280", + "dataset": "arkitscenes", + "question_id": 5127, + "question_type": "route_planning", + "question": "You are a robot beginning at the trash can and facing toward the door. You want to navigate to the bathroom sink. 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 wall 2. [please fill in] 3. Go forward until the bathroom sink. You have reached the final destination.", + "options": [ + "A. Turn Back", + "B. Turn Right", + "C. Turn Left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/536.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/536.json new file mode 100644 index 0000000000000000000000000000000000000000..9d7fa3f2363292a34af3aa60d66ca013d502f868 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/536.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": "41142280", + "dataset": "arkitscenes", + "question_id": 536, + "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": "8.0", + "answer_given": "5.5", + "answer_raw": "5.5", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/686.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/686.json new file mode 100644 index 0000000000000000000000000000000000000000..e363b1db58bf02e83c65ddadf6c23548a37ad4ea --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/686.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": "41142280", + "dataset": "arkitscenes", + "question_id": 686, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the toilet and the bathtub (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.4", + "answer_given": "0.44", + "answer_raw": "0.44", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..41c5acc8860112f1511839839bf064a5f8d19b46 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41142280/_aggregate.json @@ -0,0 +1,12 @@ +{ + "scene_id": "41142280", + "aggregate": { + "overall": 53.75, + "object_abs_distance_MRA:.5:.95:.05": 90.0, + "object_size_estimation_MRA:.5:.95:.05": 85.00000000000001, + "room_size_estimation_MRA:.5:.95:.05": 40.0, + "route_planning_accuracy": 0.0, + "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", + "tabulated_results": "53.750, 90.000, 85.000, 40.000, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/10.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/10.json new file mode 100644 index 0000000000000000000000000000000000000000..cb1e3e59788c190532bc5fb2e3b3323751703cd3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/10.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": "41159541", + "dataset": "arkitscenes", + "question_id": 10, + "question_type": "object_counting", + "question": "How many table(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "3", + "answer_given": "2", + "answer_raw": "2", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/11.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/11.json new file mode 100644 index 0000000000000000000000000000000000000000..71db928aa322a1a83facc66aa29eea326f96503b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/11.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": "41159541", + "dataset": "arkitscenes", + "question_id": 11, + "question_type": "object_counting", + "question": "How many chair(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "9", + "answer_given": "10", + "answer_raw": "10", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/187.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/187.json new file mode 100644 index 0000000000000000000000000000000000000000..708d5e9323521dfe4cb1ff02982b28bb66610d62 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/187.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": "41159541", + "dataset": "arkitscenes", + "question_id": 187, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the tv, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "114", + "answer_given": "75.0", + "answer_raw": "75.0", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/5047.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/5047.json new file mode 100644 index 0000000000000000000000000000000000000000..a5d9f1f69d7e36c13051b43b20115200372f2f8c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/5047.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": "41159541", + "dataset": "arkitscenes", + "question_id": 5047, + "question_type": "route_planning", + "question": "You are a robot beginning at the doorframe and facing into the room. 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 table 2. [please fill in] 3. Go forward until 1 foot before the blue sofa 4. [please fill in] 5. Go forward until the tv. You have reached the final destination.", + "options": [ + "A. Turn Left, Turn Right", + "B. Turn Back, Turn Right", + "C. Turn Right, Turn Left", + "D. Turn Left, Turn Left" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/540.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/540.json new file mode 100644 index 0000000000000000000000000000000000000000..8a990054cac1624fffb18f3bb2232f5ec17f1f1c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/540.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": "41159541", + "dataset": "arkitscenes", + "question_id": 540, + "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": "43.2", + "answer_given": "30.5", + "answer_raw": "30.5", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/9.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/9.json new file mode 100644 index 0000000000000000000000000000000000000000..8b09fca1e46614d5060022d602962a1111a0c782 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41159541/9.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:64", + "spatial_code_model": 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b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41254432/14.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": "41254432", + "dataset": "arkitscenes", + "question_id": 14, + "question_type": "object_counting", + "question": "How many sofa(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "5", + "answer_raw": "5", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41254432/196.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/41254432/196.json new file mode 100644 index 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"answer_raw": "78.0", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/208.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/208.json new file mode 100644 index 0000000000000000000000000000000000000000..39c129fc13deb160c367a4c8f1098001fa49526a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/208.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": "42444976", + "dataset": "arkitscenes", + "question_id": 208, + "question_type": "object_size_estimation", + "question": "What is the length of the 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You want to navigate to the table. You will perform the following actions (Note: for each [please fill in], choose either 'turn back,' 'turn left,' or 'turn right.'): 1. [please fill in] 2. Go forward until the sink. 3. [please fill in] 4. Go forward until the table. You have reached the final destination.", + "options": [ + "A. Turn Left, Turn Left", + "B. Turn Back, Turn Right", + "C. Turn Back, Turn Left", + "D. Turn Right, Turn Right" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/549.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/549.json new file mode 100644 index 0000000000000000000000000000000000000000..8fe229752e9dd4d6f9f690ce98b2d05406e0c74d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/549.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": "42444976", + "dataset": "arkitscenes", + "question_id": 549, + "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": "17.6", + "answer_given": "11.7", + "answer_raw": "11.7", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/706.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/706.json new file mode 100644 index 0000000000000000000000000000000000000000..bd1424aa42e92859eb0d3b78d3c0dc6f043b057d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/706.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:64", + "spatial_code_model": 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b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/707.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": "42444976", + "dataset": "arkitscenes", + "question_id": 707, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the washer and the refrigerator (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.4", + "answer_given": "2.47", + "answer_raw": "2.47", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/708.json b/experiments/results/symbolic/metric/tracking/uniform/Select 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/709.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/709.json new file mode 100644 index 0000000000000000000000000000000000000000..0629b0ccbd22e3208bc7645bb0041778b58bc34d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/709.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": "42444976", + "dataset": "arkitscenes", + "question_id": 709, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the dishwasher (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.1", + "answer_given": "2.06", + "answer_raw": "2.06", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/710.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/710.json new file mode 100644 index 0000000000000000000000000000000000000000..ab3218b34b583ef29050105f53bade9d1606bb0d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/710.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": "42444976", + "dataset": "arkitscenes", + "question_id": 710, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the washer (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.9", + "answer_given": "1.09", + "answer_raw": "1.09", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/964.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/964.json new file mode 100644 index 0000000000000000000000000000000000000000..fd42bf05fdaeffb47fe8a805bb2a9f4f21444b9a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/964.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:64", + 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"C. front-left", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/966.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/966.json new file mode 100644 index 0000000000000000000000000000000000000000..27bf1538255a5cea0cb1e568d3662fd7b5a02683 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/966.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": "42444976", + "dataset": "arkitscenes", + "question_id": 966, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the washer and facing the dishwasher, is the table 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).", + "options": [ + "A. back-right", + "B. back-left", + "C. front-right", + "D. front-left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/967.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/967.json new file mode 100644 index 0000000000000000000000000000000000000000..35ad504f6f760ae8fda467b2f8c890a83693f89f --- /dev/null +++ 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diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/968.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/968.json new file mode 100644 index 0000000000000000000000000000000000000000..326f192356ed48db46e760fd59d4c1988d9ad69e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/968.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": "42444976", + "dataset": "arkitscenes", + "question_id": 968, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the refrigerator and facing the table, is the dishwasher 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).", + "options": [ + "A. front-left", + "B. front-right", + "C. back-left", + "D. back-right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..f4c47944232ef7d022e7a2ea89b4bae5d0880bc2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42444976/_aggregate.json @@ -0,0 +1,14 @@ +{ + "scene_id": 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/1121.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/1121.json new file mode 100644 index 0000000000000000000000000000000000000000..5238ce89c72b8c92e8fc2ba9008c62038285cdb2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/1121.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": "42445026", + "dataset": "arkitscenes", + "question_id": 1121, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the tv and facing the table, is the sofa 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. back", + "C. right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/1122.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/1122.json new file mode 100644 index 0000000000000000000000000000000000000000..55ceee63090e811ae4e6986c3947521c2eacfd58 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/1122.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": "42445026", + "dataset": "arkitscenes", + "question_id": 1122, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the sofa and facing the tv, is the table 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": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/1248.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/1248.json new file mode 100644 index 0000000000000000000000000000000000000000..986e53c990c1f19eb1dc166f860f68bbdb1d6ff7 --- /dev/null +++ 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/1250.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/1250.json new file mode 100644 index 0000000000000000000000000000000000000000..383089f5e739495295ced975ea80ba28d9ceabdc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/1250.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": "42445026", + "dataset": "arkitscenes", + "question_id": 1250, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the sofa and facing the tv, is the chair to the left or the right of the tv?", + "options": [ + "A. right", + "B. left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/209.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/209.json new file mode 100644 index 0000000000000000000000000000000000000000..c5024a78e2bbb06a503167bd96fabcb8dda88dee --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/209.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": "42445026", + "dataset": "arkitscenes", + "question_id": 209, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the tv, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "96", + "answer_given": "68.0", + "answer_raw": "68.0", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/210.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/210.json new file mode 100644 index 0000000000000000000000000000000000000000..e25d4936a2afb2cce55868be21adc1f1a57055cf --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/210.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:64", + 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b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/211.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": "42445026", + "dataset": "arkitscenes", + "question_id": 211, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the table, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "128", + "answer_given": "68.0", + "answer_raw": "68.0", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/212.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/5154.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/5154.json new file mode 100644 index 0000000000000000000000000000000000000000..a70f5a4cedf8d6bc5201f96435f14db864ea51bc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/5154.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": "42445026", + "dataset": "arkitscenes", + "question_id": 5154, + "question_type": "route_planning", + "question": "You are a robot beginning at the doorframe and facing the tv. You want to navigate to the 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 the tv 2. [please fill in] 3. Go forward until the sofa. You have reached the final destination.", + "options": [ + "A. Turn Left", + "B. Turn Back", + "C. Turn Right" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/550.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/550.json new file mode 100644 index 0000000000000000000000000000000000000000..b2dfa78074208656f53768fcc27c864480e3719f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/550.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": "42445026", + "dataset": "arkitscenes", + "question_id": 550, + "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": "11.6", + "answer_given": "9.7", + "answer_raw": "9.7", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/711.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/711.json new file mode 100644 index 0000000000000000000000000000000000000000..5ad59446e1a7e4f3961b1538fb047bd524beb208 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/711.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:64", + "spatial_code_model": 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Representative Instances Using Track Persistence/64/42445026/712.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": "42445026", + "dataset": "arkitscenes", + "question_id": 712, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the tv (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.5", + "answer_given": "1.58", + "answer_raw": "1.58", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/713.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/713.json new file mode 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and facing the sofa, is the table 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).", + "options": [ + "A. front-right", + "B. front-left", + "C. back-left", + "D. back-right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/970.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/970.json new file mode 100644 index 0000000000000000000000000000000000000000..063be931a95a826a171c18a4df08baea828b1791 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/970.json @@ -0,0 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y-axis).", + "options": [ + "A. back-left", + "B. front-right", + "C. front-left", + "D. back-right" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "B", + "answer_raw": "B", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/972.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/972.json new file mode 100644 index 0000000000000000000000000000000000000000..be3d6666fa6d09dffa2cedeee6529725cbfb9622 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/972.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": "42445026", + "dataset": "arkitscenes", + "question_id": 972, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the tv and facing the chair, is the sofa 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).", + "options": [ + "A. back-left", + "B. front-right", + "C. front-left", + "D. back-right" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445026/_aggregate.json new file mode 100644 index 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+ ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/1124.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/1124.json new file mode 100644 index 0000000000000000000000000000000000000000..385f32158dd2f03eab323f81c7083f360530680a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/1124.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": "42445031", + "dataset": "arkitscenes", + "question_id": 1124, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the bed and facing the table, is the tv 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. back", + "C. right" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/1125.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/1125.json new file mode 100644 index 0000000000000000000000000000000000000000..23a338243d0cfcf72cbdb3338d4de01f0affe587 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/1125.json @@ -0,0 +1,24 @@ +{ 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/1252.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/1252.json new file mode 100644 index 0000000000000000000000000000000000000000..6832072452f1fb7835bfd2959b833078933d9b52 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/1252.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": "42445031", + "dataset": "arkitscenes", + "question_id": 1252, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the bed and facing the table, is the tv to the left or the right of the table?", + "options": [ + "A. right", + "B. left" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/1253.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/1253.json new file mode 100644 index 0000000000000000000000000000000000000000..9f29ce29a635e8dda8091558d88f786448deb1f0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/1253.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": "42445031", + "dataset": 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/551.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/551.json new file mode 100644 index 0000000000000000000000000000000000000000..70131cd51334f3adbeda1fb54227af2678e0b35b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/551.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": "42445031", + "dataset": "arkitscenes", + "question_id": 551, + "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": "19.2", + "answer_given": "15.1", + "answer_raw": "15.1", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/715.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/715.json new file mode 100644 index 0000000000000000000000000000000000000000..606604194b0409f6a7342d1be58e2b4fffac51e7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/715.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": "42445031", + "dataset": "arkitscenes", + "question_id": 715, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the tv and the bed (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.7", + "answer_given": "0.87", + "answer_raw": "0.87", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/716.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/716.json new file mode 100644 index 0000000000000000000000000000000000000000..d5af2b4663b4968bed2f9f0f112215bb497881d7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/716.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": "42445031", + "dataset": "arkitscenes", + "question_id": 716, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the bed (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.9", + "answer_given": "1.78", + "answer_raw": "1.78", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/717.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/717.json new file mode 100644 index 0000000000000000000000000000000000000000..3af7a05cd8fb5ee4af0e6c2e0d03df6ae5e72ed7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/717.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": "42445031", + "dataset": "arkitscenes", + "question_id": 717, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the tv (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.7", + "answer_given": "2.56", + "answer_raw": "2.56", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/973.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative 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front-right", + "D. front-left" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "C", + "answer_raw": "C", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..67f404985e5449011ae8755cd4afc8df81aa8a65 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445031/_aggregate.json @@ -0,0 +1,12 @@ +{ + "scene_id": "42445031", + "aggregate": { + "overall": 74.16666666666667, + "object_abs_distance_MRA:.5:.95:.05": 80.0, + "object_size_estimation_MRA:.5:.95:.05": 56.666666666666664, + "room_size_estimation_MRA:.5:.95:.05": 60.0, + "object_rel_direction_accuracy": 100.0, + "tabulated_keys": "overall, object_abs_distance_MRA:.5:.95:.05, object_size_estimation_MRA:.5:.95:.05, room_size_estimation_MRA:.5:.95:.05, object_rel_direction_accuracy", + "tabulated_results": "74.167, 80.000, 56.667, 60.000, 100.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/16.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/16.json new file mode 100644 index 0000000000000000000000000000000000000000..253d22db323eb29f22e705bfaaacd1d0430161bd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/16.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": "42445981", + "dataset": "arkitscenes", + "question_id": 16, + "question_type": "object_counting", + "question": "How many sofa(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "3", + "answer_raw": "3", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/17.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/17.json new file mode 100644 index 0000000000000000000000000000000000000000..352ddcf37cd569f0da10cc1c98ecf5fbfac1520d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/17.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": "42445981", + "dataset": "arkitscenes", + "question_id": 17, + "question_type": "object_counting", + "question": "How many table(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "4", + "answer_given": "3", + "answer_raw": "3", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/18.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/18.json new file mode 100644 index 0000000000000000000000000000000000000000..15133bd7134d0e216de4b75d03363cba18fd9311 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/18.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": "42445981", + "dataset": "arkitscenes", + "question_id": 18, + "question_type": "object_counting", + "question": "How many chair(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "5", + "answer_given": "5", + "answer_raw": "5", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/219.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/219.json new file mode 100644 index 0000000000000000000000000000000000000000..d0e7673a1d997ef44fe54925e75a5de5c0986239 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/219.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": "42445981", + "dataset": "arkitscenes", + "question_id": 219, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the tv, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "100", + "answer_given": "114.0", + "answer_raw": "114.0", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/5131.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/5131.json new file mode 100644 index 0000000000000000000000000000000000000000..a5e6fae9e15ad5eafbd5f01ae477046a152efff3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/5131.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": "42445981", + "dataset": "arkitscenes", + "question_id": 5131, + "question_type": "route_planning", + "question": "You are a robot beginning at the Christmas tree and facing the TV. You want to navigate to the dining table. 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 brown sofa 2. [please fill in] 3. Go forward until the corner of the other brown sofa 4. [please fill in] 5. Go forward about one foot 6. [please fill in] 7. Go forward until the dining table. You have reached the final destination.", + "options": [ + "A. Turn Back, Turn Right, Turn Left", + "B. Turn Left, Turn Right, Turn Left", + "C. Turn Left, Turn Right, Turn Right", + "D. Turn Left, Turn Left, Turn Left" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/553.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/553.json new file mode 100644 index 0000000000000000000000000000000000000000..5bab4f11e1b65a6b9c39005876dc4405bcc5d109 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/553.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": "42445981", + "dataset": "arkitscenes", + "question_id": 553, + "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": "19.9", + "answer_given": "20.8", + "answer_raw": "20.8", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..49b33e71ed072109b4a0773ef6f25084e69137a1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42445981/_aggregate.json @@ -0,0 +1,12 @@ +{ + "scene_id": "42445981", + "aggregate": { + "overall": 59.166666666666664, + "object_counting_MRA:.5:.95:.05": 56.666666666666664, + "object_size_estimation_MRA:.5:.95:.05": 80.0, + "room_size_estimation_MRA:.5:.95:.05": 100.0, + "route_planning_accuracy": 0.0, + "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", + "tabulated_results": "59.167, 56.667, 80.000, 100.000, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/236.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/236.json new file mode 100644 index 0000000000000000000000000000000000000000..8781511f1e8e8fa55ab991be79901ed0ee4c1ce5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/236.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": "42446517", + "dataset": "arkitscenes", + "question_id": 236, + "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": "84", + "answer_given": "68.0", + "answer_raw": "68.0", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/237.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/237.json new file mode 100644 index 0000000000000000000000000000000000000000..a46c893894f0d54cd163d11e153f54400ede1695 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/237.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": "42446517", + "dataset": "arkitscenes", + "question_id": 237, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the tv, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "111", + "answer_given": "76.0", + "answer_raw": "76.0", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/28.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/28.json new file mode 100644 index 0000000000000000000000000000000000000000..36350b1e895bb93d9d107a1d8d1479f1a5662029 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/28.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": "42446517", + "dataset": "arkitscenes", + "question_id": 28, + "question_type": "object_counting", + "question": "How many table(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "3", + "answer_given": "1", + "answer_raw": "1", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/29.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/29.json new file mode 100644 index 0000000000000000000000000000000000000000..18193c8c486694056d81401c579c9a5b1028ec61 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/29.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": "42446517", + "dataset": "arkitscenes", + "question_id": 29, + "question_type": "object_counting", + "question": "How many bed(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "6", + "answer_raw": "6", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/4979.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/4979.json new file mode 100644 index 0000000000000000000000000000000000000000..9c028f7161acd141e43a81ea75488127b57ed19d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/4979.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": "42446517", + "dataset": "arkitscenes", + "question_id": 4979, + "question_type": "route_planning", + "question": "You are a robot beginning at the black chair and facing to white table. 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. [please fill in] 2. Go forward until the trash bin 3. [please fill in] 4. Go forward until the tv. You have reached the final destination.", + "options": [ + "A. Turn Back, Turn Left", + "B. Turn Back, Turn Right", + "C. Turn Right, Turn Right", + "D. Turn Left, Turn Right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/561.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/561.json new file mode 100644 index 0000000000000000000000000000000000000000..d8dfb4078f8a6f8466b1723a8882a3a44f07b19b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/561.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": "42446517", + "dataset": "arkitscenes", + "question_id": 561, + "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": "22.6", + "answer_given": "15.1", + "answer_raw": "15.1", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/734.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/734.json new file mode 100644 index 0000000000000000000000000000000000000000..9894b73f14c9db446d06ef5a20d4d148bdb31b16 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/734.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": "42446517", + "dataset": "arkitscenes", + "question_id": 734, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the tv and the chair (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.6", + "answer_given": "2.53", + "answer_raw": "2.53", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..5f9cdd5b0cdf06360b5a753a5e4a8151a70e6a32 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446517/_aggregate.json @@ -0,0 +1,13 @@ +{ + "scene_id": "42446517", + "aggregate": { + "overall": 39.0, + "object_counting_MRA:.5:.95:.05": 0.0, + "object_abs_distance_MRA:.5:.95:.05": 100.0, + "object_size_estimation_MRA:.5:.95:.05": 55.00000000000001, + "room_size_estimation_MRA:.5:.95:.05": 40.0, + "route_planning_accuracy": 0.0, + "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, route_planning_accuracy", + "tabulated_results": "39.000, 0.000, 100.000, 55.000, 40.000, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446535/241.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446535/241.json new file mode 100644 index 0000000000000000000000000000000000000000..829978bab3db8f91b90b67be4cf3646825ce0273 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/42446535/241.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": "42446535", + "dataset": "arkitscenes", + "question_id": 241, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the toilet, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "83", + "answer_given": "77.0", + "answer_raw": "77.0", + "score": 0.9 +} \ No newline at end of file