diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/1857.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/1857.json new file mode 100644 index 0000000000000000000000000000000000000000..eaced5598178e645671eb09363f622bdb82d876a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/1857.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": "e398684d27", + "dataset": "scannetpp", + "question_id": 1857, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the ceiling light and facing the monitor, is the door to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. front-right", + "B. back-right", + "C. back-left", + "D. front-left" + ], + "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/e398684d27/1858.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/1858.json new file mode 100644 index 0000000000000000000000000000000000000000..d9ff3e72751a9a1bf59f165cfcc1d5b3338a9ae0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/e398684d27/1858.json @@ -0,0 +1,25 @@ +{ + "model": 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"B. right", + "C. 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/f9f95681fd/1552.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1552.json new file mode 100644 index 0000000000000000000000000000000000000000..50d00dca3d5d29a8c0cde9a8103af51bd5403d00 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1552.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": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 1552, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the refrigerator and facing the ceiling light, is the kettle to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "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/f9f95681fd/1671.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1671.json new file mode 100644 index 0000000000000000000000000000000000000000..39f910c53b4bc4ce862cf32e914b187104e8332c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1671.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": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 1671, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the refrigerator and the ceiling light (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.5", + "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/f9f95681fd/1672.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1672.json new file mode 100644 index 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"answer_given": "0.32", + "answer_raw": "0.32", + "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/f9f95681fd/1674.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1674.json new file mode 100644 index 0000000000000000000000000000000000000000..1ff6534a2a880d8de6cfa433958dc4d3c7d77352 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1674.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": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 1674, + "question_type": "object_abs_distance", + "question": 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Persistence/64/f9f95681fd/1676.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": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 1676, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the kettle and the door (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.5", + "answer_given": "0.66", + "answer_raw": "0.66", + "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/f9f95681fd/1677.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1677.json new file mode 100644 index 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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": "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/64/f9f95681fd/1846.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1846.json new file mode 100644 index 0000000000000000000000000000000000000000..1cff2d9263f7e5169c3f16a72b4cc7f54d659933 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1846.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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100644 index 0000000000000000000000000000000000000000..745d0a122d94aae67293f5bdb19d36eff241b537 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1847.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": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 1847, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the microwave and facing the door, is the kettle to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-left", + "B. front-left", + "C. front-right", + "D. back-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/64/f9f95681fd/1848.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1848.json new file mode 100644 index 0000000000000000000000000000000000000000..ab2cf982e7a9615a8069b0d3cfde2815c0c5bcbe --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1848.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": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 1848, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the ceiling light and facing the door, is the kettle to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. front-left", + "B. back-right", + "C. front-right", + "D. back-left" + ], + "full_prompt": null, + "answer_expected": "D", + "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/64/f9f95681fd/1849.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1849.json new file mode 100644 index 0000000000000000000000000000000000000000..aedb764618d2f59a5aea7af8e5090275d7633323 --- /dev/null +++ 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diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1850.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1850.json new file mode 100644 index 0000000000000000000000000000000000000000..076a6975d16288f91c380531d00643ab235bd46f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/1850.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": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 1850, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the door and facing the ceiling light, is the kettle to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-left", + "B. back-right", + "C. 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/f9f95681fd/2026.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2026.json new file mode 100644 index 0000000000000000000000000000000000000000..85fba847494165c05352080f7f771e2aada81401 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2026.json @@ -0,0 +1,25 @@ +{ + "model": 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100644 index 0000000000000000000000000000000000000000..5ea1b0f2378de90f322081ac9bf57a258eadda9d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2258.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": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 2258, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the ceiling light, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "127", + "answer_given": "23.0", + "answer_raw": "23.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2259.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2259.json new file mode 100644 index 0000000000000000000000000000000000000000..22761851caa8aee0b98de7172997b35f6d98af4d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2259.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": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 2259, + "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": "211", + "answer_given": "89.0", + "answer_raw": "89.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2260.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2260.json new file mode 100644 index 0000000000000000000000000000000000000000..d0cfa117ab6a6250e9104b1a14eeb64656a1d2eb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2260.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": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 2260, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the refrigerator, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "228", + "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/f9f95681fd/2261.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2261.json new file mode 100644 index 0000000000000000000000000000000000000000..5bbf3c44bcc1d89aa2411de79b08f7666175652a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2261.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": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 2261, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the microwave, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "52", + "answer_given": "53.0", + "answer_raw": "53.0", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2262.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2262.json new file mode 100644 index 0000000000000000000000000000000000000000..f293db3a27c47b51b6e0e8b6b857bebb7965cdf9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2262.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": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 2262, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the kettle, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "24", + "answer_given": "21.0", + "answer_raw": "21.0", + "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/f9f95681fd/2446.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/f9f95681fd/2446.json new file mode 100644 index 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"answer_given": "3.49", + "answer_raw": "3.49", + "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/fb5a96b1a2/1826.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1826.json new file mode 100644 index 0000000000000000000000000000000000000000..2de314df99f4a6d9adff0e08501c60dca38b2f88 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1826.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1826, + "question_type": "object_rel_direction_hard", + 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Representative Instances Using Track Persistence/64/fb5a96b1a2/1828.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1828.json new file mode 100644 index 0000000000000000000000000000000000000000..4d5d9de687c407bbaa92e80d07e27639e7eb48f3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1828.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1828, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the heater and facing the sofa, 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-right", + "B. front-right", + "C. front-left", + "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/fb5a96b1a2/1829.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1829.json new file mode 100644 index 0000000000000000000000000000000000000000..ae1f699a1ea254a48d4abc249a7b88a26cc7c980 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1829.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:64", + "spatial_code_model": 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Track Persistence/64/fb5a96b1a2/1830.json new file mode 100644 index 0000000000000000000000000000000000000000..f4dc1fa1000f95344ee61c6865f2d6aa18539474 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1830.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1830, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the sofa and facing the computer mouse, is the power strip 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/fb5a96b1a2/1831.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1831.json new file mode 100644 index 0000000000000000000000000000000000000000..a0eb236f638e953c037d7357968fd62ba7b41c7c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1831.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1831, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the power strip and facing the sofa, 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. back-right", + "C. front-left", + "D. front-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/fb5a96b1a2/1942.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1942.json new file mode 100644 index 0000000000000000000000000000000000000000..1ccec430bb2fc1429cc2ddfdab147d1592a8327c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1942.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1942, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (power strip, bookshelf, whiteboard, telephone) is the closest to the heater?", + "options": [ + "A. power strip", + "B. bookshelf", + "C. whiteboard", + "D. telephone" + ], + "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 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whiteboard", + "D. computer mouse" + ], + "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/fb5a96b1a2/1944.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1944.json new file mode 100644 index 0000000000000000000000000000000000000000..97e1d50f7c61e2dd4b21efcff4d7acc7ec648276 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1944.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1944, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (ceiling light, bookshelf, telephone, sofa) is the closest to the power strip?", + "options": [ + "A. ceiling light", + "B. bookshelf", + "C. telephone", + "D. sofa" + ], + "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/64/fb5a96b1a2/1945.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1945.json new file mode 100644 index 0000000000000000000000000000000000000000..a15510eda7832891d3fd952ae70632aa087fe7da --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1945.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1945, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (ceiling light, table, computer mouse, heater) is the closest to the bookshelf?", + "options": [ + "A. ceiling light", + "B. table", + "C. computer mouse", + "D. heater" + ], + "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/64/fb5a96b1a2/1946.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1946.json new file mode 100644 index 0000000000000000000000000000000000000000..7491b10814b2502386cb0d7f54df3a846968fb71 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1946.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1946, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (whiteboard, ceiling light, sofa, telephone) is the closest to the bookshelf?", + "options": [ + "A. whiteboard", + "B. ceiling light", + "C. sofa", + "D. telephone" + ], + "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/fb5a96b1a2/1947.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1947.json new file mode 100644 index 0000000000000000000000000000000000000000..b100c3579c7e7e40f9153c71938437a1da46b924 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1947.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1947, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (telephone, ceiling light, chair, whiteboard) is the closest to the power strip?", + "options": [ + "A. telephone", + "B. ceiling light", + "C. chair", + "D. whiteboard" + ], + "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/fb5a96b1a2/1948.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1948.json new file mode 100644 index 0000000000000000000000000000000000000000..a9c75f62c5164216c2dd6d52ba2dd7beeb03505a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1948.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": 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0000000000000000000000000000000000000000..bbeac43988b9d563ca3a08f6f4744afd858d52dd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/1949.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1949, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, bookshelf, computer mouse, telephone) is the closest to the heater?", + "options": [ + "A. table", + "B. bookshelf", + "C. computer mouse", + "D. telephone" + ], + "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/fb5a96b1a2/2212.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2212.json new file mode 100644 index 0000000000000000000000000000000000000000..9563821c08c1285822b2c24552ccfa2c6abc6f08 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2212.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 2212, + "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": "76", + "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/fb5a96b1a2/2213.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2213.json new file mode 100644 index 0000000000000000000000000000000000000000..26b7b76641be0b2e5f2f3ef23c0baf5f24afeb0b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2213.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 2213, + "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": "199", + "answer_given": "149.0", + "answer_raw": "149.0", + "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/fb5a96b1a2/2214.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2214.json new file mode 100644 index 0000000000000000000000000000000000000000..b389bb285a8d75fc970bba4374e2198d07e16855 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2214.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 2214, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the heater, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "134", + "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/fb5a96b1a2/2215.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2215.json new file mode 100644 index 0000000000000000000000000000000000000000..b0143a759cd1529e919e977c407374d33c9aea23 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2215.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 2215, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the power strip, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "23", + "answer_given": "17.0", + "answer_raw": "17.0", + "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/fb5a96b1a2/2216.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/fb5a96b1a2/2217.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2217.json new file mode 100644 index 0000000000000000000000000000000000000000..ccfc552b4c95350a36d58e73a7c748d9a64b7939 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2217.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 2217, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the computer mouse, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "11", + "answer_given": "8.0", + "answer_raw": "8.0", + "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/fb5a96b1a2/2514.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2514.json new file mode 100644 index 0000000000000000000000000000000000000000..02e9a7552f42a6e6fce452aef09e037e208602e1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2514.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 2514, + "question_type": "object_counting", + "question": "How many ceiling light(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "12", + "answer_given": "17", + "answer_raw": "17", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2515.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2515.json new file mode 100644 index 0000000000000000000000000000000000000000..f242ac9afe98298cc14c3b2a9f1d02f27893bb8b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2515.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 2515, + "question_type": "object_counting", + "question": "How many chair(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "18", + "answer_given": "19", + "answer_raw": "19", + "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/fb5a96b1a2/2516.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2516.json new file mode 100644 index 0000000000000000000000000000000000000000..af52692016675671b7269c1c2b291a2399c3a2ea --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2516.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 2516, + "question_type": "object_counting", + "question": "How many table(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "3", + "answer_raw": "3", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2517.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2517.json new file mode 100644 index 0000000000000000000000000000000000000000..e72a681816896ff2751dd5e4638da4ffd2f89232 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2517.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 2517, + "question_type": "object_counting", + "question": "How many whiteboard(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "3", + "answer_given": "7", + "answer_raw": "7", + "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/fb5a96b1a2/2667.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2667.json new file mode 100644 index 0000000000000000000000000000000000000000..0d7e32c6c3c528cb6f29b7d2b3808a7d1a0beeb9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/2667.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 2667, + "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": "34.6", + "answer_given": "36.5", + "answer_raw": "36.5", + "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/fb5a96b1a2/4962.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/4962.json new file mode 100644 index 0000000000000000000000000000000000000000..60964382c3b18d9a401d1faf92772bf2f16a2a8b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/4962.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": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 4962, + "question_type": "route_planning", + "question": "You are a robot beginning at the doorframe facing the table. You want to navigate to the bookshelf. 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 the chair beside the screen 4. [please fill in] 5. Go forward until the bookshelf. You have reached the final destination.", + "options": [ + "A. Turn Left, Turn Right", + "B. Turn Right, Turn Right", + "C. Turn Back, Turn Left", + "D. Turn Back, 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/fb5a96b1a2/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..1cedf507f10e3d7e2eb92e19cdaa3a0ca8f75027 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/fb5a96b1a2/_aggregate.json @@ -0,0 +1,15 @@ +{ + "scene_id": "fb5a96b1a2", + "aggregate": { + "overall": 29.421768707482997, + "object_counting_MRA:.5:.95:.05": 30.000000000000004, + "object_abs_distance_MRA:.5:.95:.05": 4.285714285714286, + "object_size_estimation_MRA:.5:.95:.05": 31.666666666666664, + "room_size_estimation_MRA:.5:.95:.05": 90.0, + "object_rel_distance_accuracy": 50.0, + "object_rel_direction_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, object_rel_direction_accuracy, route_planning_accuracy", + "tabulated_results": "29.422, 30.000, 4.286, 31.667, 90.000, 50.000, 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/64/scene0030_02/3143.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/3143.json new file mode 100644 index 0000000000000000000000000000000000000000..0e858c0cc863963bf44fad79e2b8e4bb0dc34e7f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/3143.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": "scene0030_02", + "dataset": "scannet", + "question_id": 3143, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, clock, chair, trash bin) is the closest to the door?", + "options": [ + "A. table", + "B. clock", + "C. chair", + "D. trash bin" + ], + "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/scene0030_02/3457.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/3457.json new file mode 100644 index 0000000000000000000000000000000000000000..e892298238ef302dee1eb3b99175ee3c53cb056e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/3457.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": "scene0030_02", + "dataset": "scannet", + "question_id": 3457, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the clock, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "53", + "answer_given": "25.0", + "answer_raw": "25.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/3458.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/3458.json new file mode 100644 index 0000000000000000000000000000000000000000..0a6743ba4bf3aa2e169012b42defae29fd7301b1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/3458.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": "scene0030_02", + "dataset": "scannet", + "question_id": 3458, + "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": "169", + "answer_given": "132.0", + "answer_raw": "132.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/3459.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/3459.json new file mode 100644 index 0000000000000000000000000000000000000000..e8e218608bde9f68b54f40dfb8352db107609c66 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/3459.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": "scene0030_02", + "dataset": "scannet", + "question_id": 3459, + "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": "67", + "answer_given": "65.0", + "answer_raw": "65.0", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/3825.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/3825.json new file mode 100644 index 0000000000000000000000000000000000000000..02ee81d46ba0a943b4f198ecbed3ed114b2dff11 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/3825.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": "scene0030_02", + "dataset": "scannet", + "question_id": 3825, + "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": "33.2", + "answer_given": "31.2", + "answer_raw": "31.2", + "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/scene0030_02/4152.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/4152.json new file mode 100644 index 0000000000000000000000000000000000000000..d34e4e0a872a79baf24878291c2df2f4c4dc6342 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/4152.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": "scene0030_02", + "dataset": "scannet", + "question_id": 4152, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: chair, trash bin, door, bookshelf?", + "options": [ + "A. chair, door, trash bin, bookshelf", + "B. trash bin, bookshelf, door, chair", + "C. chair, bookshelf, door, trash bin", + "D. chair, trash bin, door, bookshelf" + ], + "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/scene0030_02/4153.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/4153.json new file mode 100644 index 0000000000000000000000000000000000000000..7cf018bda330520f2fea79c862893cfc568ffc36 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/4153.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": "scene0030_02", + "dataset": "scannet", + "question_id": 4153, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: trash bin, window, chair, door?", + "options": [ + "A. trash bin, chair, door, window", + "B. chair, window, door, trash bin", + "C. chair, door, trash bin, window", + "D. trash bin, window, chair, 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/64/scene0030_02/4154.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/4154.json new file mode 100644 index 0000000000000000000000000000000000000000..86023e6d40da8efefbf081fbfc0bee135c4eec37 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/4154.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": "scene0030_02", + "dataset": "scannet", + "question_id": 4154, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: trash bin, table, door, bookshelf?", + "options": [ + "A. trash bin, table, door, bookshelf", + "B. bookshelf, door, trash bin, table", + "C. trash bin, door, bookshelf, table", + "D. table, bookshelf, door, trash bin" + ], + "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/scene0030_02/4155.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/4155.json new file mode 100644 index 0000000000000000000000000000000000000000..13abd7382a8dee18f95c92ea8091130a295587e5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/4155.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": "scene0030_02", + "dataset": "scannet", + "question_id": 4155, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, door, trash bin, window?", + "options": [ + "A. table, window, door, trash bin", + "B. table, trash bin, window, door", + "C. table, door, trash bin, window", + "D. trash bin, door, table, 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/64/scene0030_02/4548.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/4548.json new file mode 100644 index 0000000000000000000000000000000000000000..fdad7d2113defc3ac77771468ef30022b18315a2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/4548.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": "scene0030_02", + "dataset": "scannet", + "question_id": 4548, + "question_type": "object_counting", + "question": "How many chair(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "17", + "answer_given": "13", + "answer_raw": "13", + "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/scene0030_02/4549.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/4549.json new file mode 100644 index 0000000000000000000000000000000000000000..d9a8bcce58583f2ad9a500a90a5e98770ea07bbe --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0030_02/4549.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:64", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": 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file mode 100644 index 0000000000000000000000000000000000000000..a1d0c5adbddb0c906c96556f608f7a353b0076a9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0095_01/4883.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": "scene0095_01", + "dataset": "scannet", + "question_id": 4883, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.5", + "answer_given": "0.9", + "answer_raw": "0.9", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative 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43.333, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3166.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3166.json new file mode 100644 index 0000000000000000000000000000000000000000..e874a46d3e837730fd9fad87b89c83d88a89c08f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3166.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": "scene0164_02", + "dataset": "scannet", + "question_id": 3166, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of 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"answer_given": "121.0", + "answer_raw": "121.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3512.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3512.json new file mode 100644 index 0000000000000000000000000000000000000000..ab5fa6b66d6db75f7ac715b0870dbe84848b6fff --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3512.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": "scene0164_02", + "dataset": "scannet", + "question_id": 3512, + "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": "47", + "answer_given": "42.0", + "answer_raw": "42.0", + "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/scene0164_02/3513.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3513.json new file mode 100644 index 0000000000000000000000000000000000000000..615de095a46bf7a6c1954c69be1d307d68e9ac16 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3513.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": "scene0164_02", + "dataset": "scannet", + "question_id": 3513, + "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": "42", + "answer_given": "43.0", + "answer_raw": "43.0", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3514.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3514.json new file mode 100644 index 0000000000000000000000000000000000000000..544e878f189f6c304e06cea2fabe036cc576b006 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3514.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": "scene0164_02", + "dataset": "scannet", + "question_id": 3514, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the microwave, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "57", + "answer_given": "53.0", + "answer_raw": "53.0", + "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/scene0164_02/3515.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3515.json new file mode 100644 index 0000000000000000000000000000000000000000..250d41bf3f1393147ee15572a6a456410cbc1940 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3515.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": "scene0164_02", + "dataset": "scannet", + "question_id": 3515, + "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": "169", + "answer_given": "64.0", + "answer_raw": "64.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3674.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3674.json new file mode 100644 index 0000000000000000000000000000000000000000..36fe5abf60f3a7bb5ca3291b9bf54bd46061dadf --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3674.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": "scene0164_02", + "dataset": "scannet", + "question_id": 3674, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the refrigerator and facing the backpack, is the microwave to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-left", + "B. back-right", + "C. front-left", + "D. front-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/64/scene0164_02/3675.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3675.json new file mode 100644 index 0000000000000000000000000000000000000000..e1a0e46e1e1d3b8252d95026ee10db335a7ac0cd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3675.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": "scene0164_02", + "dataset": "scannet", + "question_id": 3675, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the refrigerator and facing the microwave, is the backpack 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": "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/64/scene0164_02/3676.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3676.json new file mode 100644 index 0000000000000000000000000000000000000000..77901cc26ee0aee209fc8bb30c9cb52c6039da6f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3676.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": "scene0164_02", + "dataset": "scannet", + "question_id": 3676, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the backpack and facing the refrigerator, is the microwave to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-left", + "B. front-right", + "C. front-left", + "D. back-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/64/scene0164_02/3677.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3677.json new file mode 100644 index 0000000000000000000000000000000000000000..d610861e912e6fbd5c9b7850e0a54defb262b63c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3677.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": "scene0164_02", + "dataset": "scannet", + "question_id": 3677, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the towel and facing the backpack, is the microwave to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-left", + "B. front-left", + "C. back-right", + "D. front-right" + ], + "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/64/scene0164_02/3678.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3678.json new file mode 100644 index 0000000000000000000000000000000000000000..43513c99f815e7eae6bc849d3b8d12ac214332e2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3678.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": "scene0164_02", + "dataset": "scannet", + "question_id": 3678, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the towel and facing the microwave, is the backpack 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": "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/64/scene0164_02/3679.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3679.json new file mode 100644 index 0000000000000000000000000000000000000000..d27704b12922a983101a3bf7260dc78b5963558b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3679.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": "scene0164_02", + "dataset": "scannet", + "question_id": 3679, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the backpack and facing the towel, is the microwave to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. front-left", + "B. front-right", + "C. back-left", + "D. back-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/64/scene0164_02/3838.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3838.json new file mode 100644 index 0000000000000000000000000000000000000000..c7a727df7ffdeaeed484cafaf17f29acee892e6d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/3838.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": "scene0164_02", + "dataset": "scannet", + "question_id": 3838, + "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": "8.5", + "answer_given": "5.8", + "answer_raw": "5.8", + "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/scene0164_02/4179.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4179.json new file mode 100644 index 0000000000000000000000000000000000000000..61ac79baa5f1a7d6323dcfd8e33486cdeab85cfb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4179.json @@ -0,0 +1,38 @@ +{ + "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": "scene0164_02", + "dataset": "scannet", + "question_id": 4179, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: refrigerator, backpack, door, towel?", + "options": [ + "A. refrigerator, backpack, door, towel", + "B. backpack, towel, door, refrigerator", + "C. door, towel, backpack, refrigerator", + "D. towel, refrigerator, backpack, door" + ], + "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": { + "refrigerator": 6, + "backpack": 8, + "door": 0, + "towel": 1 + }, + "true_order_per_spatial_code": "door, towel, refrigerator, backpack", + "ground_truth_option_text": "towel, refrigerator, backpack, door", + "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/64/scene0164_02/4180.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4180.json new file mode 100644 index 0000000000000000000000000000000000000000..05f73e81553583dbbe41d8d14a99539b84b7c56b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4180.json @@ -0,0 +1,38 @@ +{ + "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": "scene0164_02", + "dataset": "scannet", + "question_id": 4180, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: door, refrigerator, backpack, microwave?", + "options": [ + "A. door, refrigerator, microwave, backpack", + "B. door, refrigerator, backpack, microwave", + "C. microwave, refrigerator, backpack, door", + "D. door, microwave, refrigerator, backpack" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "door": 0, + "refrigerator": 6, + "backpack": 8, + "microwave": 3 + }, + "true_order_per_spatial_code": "door, microwave, refrigerator, backpack", + "ground_truth_option_text": "microwave, refrigerator, backpack, door", + "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/64/scene0164_02/4181.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4181.json new file mode 100644 index 0000000000000000000000000000000000000000..a67eaba0bc75e156411538bbceccc59a59e1f4ea --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4181.json @@ -0,0 +1,38 @@ +{ + "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": "scene0164_02", + "dataset": "scannet", + "question_id": 4181, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: door, refrigerator, counter, backpack?", + "options": [ + "A. counter, backpack, refrigerator, door", + "B. door, counter, refrigerator, backpack", + "C. door, refrigerator, counter, backpack", + "D. counter, refrigerator, backpack, door" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "door": 0, + "refrigerator": 6, + "counter": 2, + "backpack": 8 + }, + "true_order_per_spatial_code": "door, counter, refrigerator, backpack", + "ground_truth_option_text": "counter, refrigerator, backpack, door", + "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/64/scene0164_02/4182.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4182.json new file mode 100644 index 0000000000000000000000000000000000000000..0bd760ed7b838a02dee8e28c552b56a6fb94e9cf --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4182.json @@ -0,0 +1,38 @@ +{ + "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": "scene0164_02", + "dataset": "scannet", + "question_id": 4182, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: door, towel, refrigerator, microwave?", + "options": [ + "A. refrigerator, towel, door, microwave", + "B. microwave, refrigerator, door, towel", + "C. towel, microwave, refrigerator, door", + "D. door, towel, refrigerator, microwave" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "door": 0, + "towel": 1, + "refrigerator": 6, + "microwave": 3 + }, + "true_order_per_spatial_code": "door, towel, microwave, refrigerator", + "ground_truth_option_text": "towel, microwave, refrigerator, door", + "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/64/scene0164_02/4183.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4183.json new file mode 100644 index 0000000000000000000000000000000000000000..8e2634ff4411519aa7185d26fafd165558e827cd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4183.json @@ -0,0 +1,38 @@ +{ + "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": "scene0164_02", + "dataset": "scannet", + "question_id": 4183, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: door, counter, refrigerator, microwave?", + "options": [ + "A. counter, microwave, refrigerator, door", + "B. door, counter, refrigerator, microwave", + "C. door, microwave, counter, refrigerator", + "D. microwave, counter, refrigerator, door" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "door": 0, + "counter": 2, + "refrigerator": 6, + "microwave": 3 + }, + "true_order_per_spatial_code": "door, counter, microwave, refrigerator", + "ground_truth_option_text": "counter, microwave, refrigerator, door", + "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/64/scene0164_02/4184.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4184.json new file mode 100644 index 0000000000000000000000000000000000000000..726877b2fe5a9b300e86e44eadf48989b91da19d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4184.json @@ -0,0 +1,38 @@ +{ + "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": "scene0164_02", + "dataset": "scannet", + "question_id": 4184, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: microwave, door, counter, backpack?", + "options": [ + "A. microwave, door, counter, backpack", + "B. counter, microwave, backpack, door", + "C. door, backpack, microwave, counter", + "D. microwave, counter, backpack, door" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "microwave": 3, + "door": 0, + "counter": 2, + "backpack": 8 + }, + "true_order_per_spatial_code": "door, counter, microwave, backpack", + "ground_truth_option_text": "counter, microwave, backpack, door", + "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/64/scene0164_02/4185.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4185.json new file mode 100644 index 0000000000000000000000000000000000000000..2684ab3c2c5b2fbd7df386ca2de796ce4d443115 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4185.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": "scene0164_02", + "dataset": "scannet", + "question_id": 4185, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: backpack, microwave, refrigerator, counter?", + "options": [ + "A. backpack, microwave, refrigerator, counter", + "B. backpack, microwave, counter, refrigerator", + "C. counter, microwave, refrigerator, backpack", + "D. refrigerator, backpack, microwave, counter" + ], + "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/scene0164_02/4186.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4186.json new file mode 100644 index 0000000000000000000000000000000000000000..8edd78b99b239133b5963658f580b9b979db7529 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4186.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": "scene0164_02", + "dataset": "scannet", + "question_id": 4186, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: backpack, towel, refrigerator, microwave?", + "options": [ + "A. backpack, towel, refrigerator, microwave", + "B. backpack, microwave, refrigerator, towel", + "C. towel, backpack, refrigerator, microwave", + "D. towel, microwave, refrigerator, 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/64/scene0164_02/4187.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4187.json new file mode 100644 index 0000000000000000000000000000000000000000..0f955612b08b9c5d81b752cdb05b9bada5bcaeee --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4187.json @@ -0,0 +1,38 @@ +{ + "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": "scene0164_02", + "dataset": "scannet", + "question_id": 4187, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: backpack, towel, microwave, door?", + "options": [ + "A. microwave, towel, door, backpack", + "B. towel, microwave, backpack, door", + "C. towel, door, microwave, backpack", + "D. backpack, towel, microwave, 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": { + "backpack": 8, + "towel": 1, + "microwave": 3, + "door": 0 + }, + "true_order_per_spatial_code": "door, towel, microwave, backpack", + "ground_truth_option_text": "towel, microwave, backpack, door", + "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/64/scene0164_02/4909.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4909.json new file mode 100644 index 0000000000000000000000000000000000000000..ee71fa6e8d5ab78c82e166ce16e201678eaee332 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4909.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": "scene0164_02", + "dataset": "scannet", + "question_id": 4909, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the towel (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.0", + "answer_given": "1.39", + "answer_raw": "1.39", + "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/scene0164_02/4910.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4910.json new file mode 100644 index 0000000000000000000000000000000000000000..219cf455ebc38d25dd6c878082503b408dfbf136 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4910.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": "scene0164_02", + "dataset": "scannet", + "question_id": 4910, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the microwave and the backpack (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.2", + "answer_given": "3.13", + "answer_raw": "3.13", + "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/scene0164_02/4911.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4911.json new file mode 100644 index 0000000000000000000000000000000000000000..f7af9810fb7b071525bfedd119c23aa2f367e293 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4911.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": "scene0164_02", + "dataset": "scannet", + "question_id": 4911, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the backpack and the towel (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.2", + "answer_given": "2.12", + "answer_raw": "2.12", + "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/scene0164_02/4912.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4912.json new file mode 100644 index 0000000000000000000000000000000000000000..6c55e3aabc7187cc61e32811d7cd1fe152671083 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4912.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": "scene0164_02", + "dataset": "scannet", + "question_id": 4912, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the microwave and the towel (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.8", + "answer_given": "0.76", + "answer_raw": "0.76", + "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/scene0164_02/4913.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4913.json new file mode 100644 index 0000000000000000000000000000000000000000..8e704fd3dd979f35d6c0abaecd69fba7900bdc18 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4913.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": "scene0164_02", + "dataset": "scannet", + "question_id": 4913, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the backpack and the counter (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.0", + "answer_given": "1.7", + "answer_raw": "1.7", + "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/scene0164_02/4914.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4914.json new file mode 100644 index 0000000000000000000000000000000000000000..4ab707a21283b81e191bd3b4c5660635fed93a7f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4914.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": "scene0164_02", + "dataset": "scannet", + "question_id": 4914, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the microwave (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.0", + "answer_given": "1.99", + "answer_raw": "1.99", + "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/scene0164_02/4915.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4915.json new file mode 100644 index 0000000000000000000000000000000000000000..a5a137ce00602619a740ab21d9978ab1e516eab5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/4915.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": "scene0164_02", + "dataset": "scannet", + "question_id": 4915, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the microwave and the refrigerator (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.9", + "answer_given": "1.98", + "answer_raw": "1.98", + "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/scene0164_02/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..4554311e75799113b83a9c457888596ec628b1e7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0164_02/_aggregate.json @@ -0,0 +1,14 @@ +{ + "scene_id": "scene0164_02", + "aggregate": { + "overall": 47.632275132275126, + "object_abs_distance_MRA:.5:.95:.05": 68.57142857142857, + "object_size_estimation_MRA:.5:.95:.05": 54.99999999999999, + "room_size_estimation_MRA:.5:.95:.05": 40.0, + "object_rel_distance_accuracy": 100.0, + "object_rel_direction_accuracy": 0.0, + "obj_appearance_order_accuracy": 22.22222222222222, + "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_distance_accuracy, object_rel_direction_accuracy, obj_appearance_order_accuracy", + "tabulated_results": "47.632, 68.571, 55.000, 40.000, 100.000, 0.000, 22.222" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3169.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3169.json new file mode 100644 index 0000000000000000000000000000000000000000..d251a177fe57d498708ec41ec7dcb0cd181bcf95 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3169.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3169, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (counter, towel, chair, pillow) is the closest to the mirror?", + "options": [ + "A. counter", + "B. towel", + "C. chair", + "D. pillow" + ], + "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/64/scene0207_02/3170.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3170.json new file mode 100644 index 0000000000000000000000000000000000000000..2143a6831997fcabb2f8e4c04c2b28ed5f3b1fbd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3170.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3170, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (monitor, chair, closet, mirror) is the closest to the nightstand?", + "options": [ + "A. monitor", + "B. chair", + "C. closet", + "D. mirror" + ], + "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/scene0207_02/3171.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3171.json new file mode 100644 index 0000000000000000000000000000000000000000..7ba3f38a771e20d3bf716ceb59b559010ad29aa0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3171.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3171, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (chair, door, backpack, trash bin) is the closest to the nightstand?", + "options": [ + "A. chair", + "B. door", + "C. backpack", + "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/64/scene0207_02/3172.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3172.json new file mode 100644 index 0000000000000000000000000000000000000000..1b2bef411f26d4c2d7f67f42b99d2ce34b54b0b9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3172.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3172, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (refrigerator, mirror, door, radiator) is the closest to the closet?", + "options": [ + "A. refrigerator", + "B. mirror", + "C. door", + "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/64/scene0207_02/3173.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3173.json new file mode 100644 index 0000000000000000000000000000000000000000..bfa6caee3899bcc1098852e499934d2b30446db5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3173.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3173, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (printer, chair, closet, door) is the closest to the counter?", + "options": [ + "A. printer", + "B. chair", + "C. closet", + "D. door" + ], + "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/64/scene0207_02/3174.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3174.json new file mode 100644 index 0000000000000000000000000000000000000000..f7b382bb50a2e2192384c4c67ecf194ba4ddce4b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3174.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3174, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (pillow, refrigerator, nightstand, door) is the closest to the monitor?", + "options": [ + "A. pillow", + "B. refrigerator", + "C. nightstand", + "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/64/scene0207_02/3175.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3175.json new file mode 100644 index 0000000000000000000000000000000000000000..678435ac5691287615dfe6a3d29d658d1991bd6a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3175.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3175, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (printer, backpack, trash bin, window) is the closest to the monitor?", + "options": [ + "A. printer", + "B. backpack", + "C. trash bin", + "D. 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/64/scene0207_02/3176.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3176.json new file mode 100644 index 0000000000000000000000000000000000000000..8fe41d9de5ec45380268adc37405468f95c63dbe --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3176.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3176, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (trash bin, nightstand, mirror, monitor) is the closest to the radiator?", + "options": [ + "A. trash bin", + "B. nightstand", + "C. mirror", + "D. monitor" + ], + "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/scene0207_02/3177.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3177.json new file mode 100644 index 0000000000000000000000000000000000000000..9de0506226132779e99e2370287a8038973a210c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3177.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3177, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, refrigerator, printer, backpack) is the closest to the chair?", + "options": [ + "A. table", + "B. refrigerator", + "C. printer", + "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/64/scene0207_02/3178.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3178.json new file mode 100644 index 0000000000000000000000000000000000000000..3a31c1f7885749414d003f25e98f915b82df8898 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3178.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3178, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (monitor, towel, backpack, bed) is the closest to the chair?", + "options": [ + "A. monitor", + "B. towel", + "C. backpack", + "D. bed" + ], + "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/scene0207_02/3179.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3179.json new file mode 100644 index 0000000000000000000000000000000000000000..af40558e68c562443ff2641c4fd8c414febef380 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3179.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3179, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (microwave, backpack, nightstand, closet) is the closest to the counter?", + "options": [ + "A. microwave", + "B. backpack", + "C. nightstand", + "D. closet" + ], + "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/64/scene0207_02/3180.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3180.json new file mode 100644 index 0000000000000000000000000000000000000000..b89c5098020b5430b10ca165b2b51609a4913960 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3180.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3180, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (door, refrigerator, chair, table) is the closest to the pillow?", + "options": [ + "A. door", + "B. refrigerator", + "C. chair", + "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/64/scene0207_02/3181.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3181.json new file mode 100644 index 0000000000000000000000000000000000000000..10ce07fbd0150bc331cce3e1cd7309b68e02ab15 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3181.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3181, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (radiator, pillow, table, sofa) is the closest to the closet?", + "options": [ + "A. radiator", + "B. pillow", + "C. table", + "D. sofa" + ], + "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/scene0207_02/3529.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3529.json new file mode 100644 index 0000000000000000000000000000000000000000..f1214f4588837fbd2acc19dc0ba0e02e786b2477 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3529.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3529, + "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": "228", + "answer_given": "148.0", + "answer_raw": "148.0", + "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/scene0207_02/3530.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3530.json new file mode 100644 index 0000000000000000000000000000000000000000..1bffdb03164ff5153890e0596babe2a965ba3ed6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3530.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3530, + "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": "94", + "answer_given": "70.0", + "answer_raw": "70.0", + "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/scene0207_02/3531.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3531.json new file mode 100644 index 0000000000000000000000000000000000000000..3af6e3735ad217a999be26d493f001d00e607d63 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3531.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3531, + "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": "200", + "answer_given": "147.0", + "answer_raw": "147.0", + "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/scene0207_02/3532.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3532.json new file mode 100644 index 0000000000000000000000000000000000000000..365d345e7297aa6d599a23fd9ade8d08465a9149 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3532.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3532, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the counter, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "155", + "answer_given": "63.0", + "answer_raw": "63.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3533.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3533.json new file mode 100644 index 0000000000000000000000000000000000000000..a9574017960376e4a66a7579deb7fa1c08e15d22 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3533.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3533, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the refrigerator, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "151", + "answer_given": "130.0", + "answer_raw": "130.0", + "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/scene0207_02/3534.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3534.json new file mode 100644 index 0000000000000000000000000000000000000000..afcc1856f307e78e50eed459de800a4bd4f5755b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3534.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3534, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the pillow, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "78", + "answer_given": "60.0", + "answer_raw": "60.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3535.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3535.json new file mode 100644 index 0000000000000000000000000000000000000000..5fddfe8e7147898a778ed14a4a3aeef6af557f29 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3535.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3535, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the monitor, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "56", + "answer_given": "40.0", + "answer_raw": "40.0", + "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/scene0207_02/3536.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3536.json new file mode 100644 index 0000000000000000000000000000000000000000..0766285a3623c3685d2969a91be66c07a0d01e37 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3536.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3536, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the printer, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "40", + "answer_given": "34.0", + "answer_raw": "34.0", + "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/scene0207_02/3537.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3537.json new file mode 100644 index 0000000000000000000000000000000000000000..c747b8afb6c553a4cbe904bb0e104eeb05472d44 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3537.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3537, + "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": "49", + "answer_given": "46.0", + "answer_raw": "46.0", + "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/scene0207_02/3538.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3538.json new file mode 100644 index 0000000000000000000000000000000000000000..5a84f4e3c2ed64a3a0258a24d8fa625892fa3c08 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3538.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3538, + "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": "219", + "answer_given": "203.0", + "answer_raw": "203.0", + "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/scene0207_02/3539.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3539.json new file mode 100644 index 0000000000000000000000000000000000000000..ca98ff5a06151df42ca2d0c14ebedf3fda0ef808 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3539.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3539, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the microwave, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "46", + "answer_given": "36.0", + "answer_raw": "36.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3540.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3540.json new file mode 100644 index 0000000000000000000000000000000000000000..01c4395b8e7e791145271825d7557aec18cf939d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3540.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3540, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the mirror, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "113", + "answer_given": "91.0", + "answer_raw": "91.0", + "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/scene0207_02/3541.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3541.json new file mode 100644 index 0000000000000000000000000000000000000000..419d23b2c8c4e5b37e3eee0a3720b83142a3d0b0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3541.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3541, + "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": "95", + "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/scene0207_02/3542.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3542.json new file mode 100644 index 0000000000000000000000000000000000000000..be7d438e8032c38d93e1107407ef7f16d70d449e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3542.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3542, + "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": "62", + "answer_given": "62.0", + "answer_raw": "62.0", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3683.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3683.json new file mode 100644 index 0000000000000000000000000000000000000000..b2fabdacaf0ea2f26468f7350cc607b982e539d1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3683.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3683, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the pillow and facing the radiator, is the printer 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. front-left", + "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/scene0207_02/3684.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3684.json new file mode 100644 index 0000000000000000000000000000000000000000..83fa7cb2d0cf8ee22e51466d97546f89b2887338 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3684.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3684, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the printer and facing the pillow, is the radiator 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": "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/scene0207_02/3843.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3843.json new file mode 100644 index 0000000000000000000000000000000000000000..05e4b03687d3c4fa3224bd8f38d119f325b54243 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/3843.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": "scene0207_02", + "dataset": "scannet", + "question_id": 3843, + "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": "30.2", + "answer_given": "28.2", + "answer_raw": "28.2", + "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/scene0207_02/4188.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4188.json new file mode 100644 index 0000000000000000000000000000000000000000..4f2bf8c562aeda5e476fba1133e5fe183783d8c6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4188.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4188, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: nightstand, mirror, table, counter?", + "options": [ + "A. table, nightstand, counter, mirror", + "B. mirror, table, nightstand, counter", + "C. counter, mirror, table, nightstand", + "D. nightstand, mirror, table, counter" + ], + "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/scene0207_02/4189.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4189.json new file mode 100644 index 0000000000000000000000000000000000000000..c1ce3290e3ff915f75b84a902e6075f6595ef91a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4189.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4189, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: microwave, mirror, printer, chair?", + "options": [ + "A. microwave, printer, chair, mirror", + "B. microwave, mirror, printer, chair", + "C. printer, chair, microwave, mirror", + "D. microwave, printer, mirror, 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/64/scene0207_02/4190.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4190.json new file mode 100644 index 0000000000000000000000000000000000000000..8cf1acfe8287d7faeebdaec1d1c881f4188a39aa --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4190.json @@ -0,0 +1,38 @@ +{ + "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": "scene0207_02", + "dataset": "scannet", + "question_id": 4190, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: microwave, nightstand, mirror, closet?", + "options": [ + "A. nightstand, microwave, closet, mirror", + "B. closet, nightstand, microwave, mirror", + "C. nightstand, mirror, closet, microwave", + "D. microwave, nightstand, mirror, closet" + ], + "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": { + "microwave": 23, + "nightstand": 16, + "mirror": 22, + "closet": 17 + }, + "true_order_per_spatial_code": "nightstand, closet, mirror, microwave", + "ground_truth_option_text": "closet, nightstand, microwave, mirror", + "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/64/scene0207_02/4191.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4191.json new file mode 100644 index 0000000000000000000000000000000000000000..019a05c3b8b21c182e175e83e8dba7e9f72dc334 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4191.json @@ -0,0 +1,38 @@ +{ + "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": "scene0207_02", + "dataset": "scannet", + "question_id": 4191, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: window, mirror, sofa, microwave?", + "options": [ + "A. window, mirror, sofa, microwave", + "B. window, mirror, microwave, sofa", + "C. mirror, microwave, window, sofa", + "D. window, sofa, microwave, mirror" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "window": 11, + "mirror": 22, + "sofa": 14, + "microwave": 23 + }, + "true_order_per_spatial_code": "window, sofa, mirror, microwave", + "ground_truth_option_text": "window, sofa, microwave, mirror", + "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/64/scene0207_02/4192.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4192.json new file mode 100644 index 0000000000000000000000000000000000000000..024c705803d6f7684b527f38c5b94c346591653a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4192.json @@ -0,0 +1,38 @@ +{ + "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": "scene0207_02", + "dataset": "scannet", + "question_id": 4192, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: window, trash bin, nightstand, backpack?", + "options": [ + "A. window, backpack, nightstand, trash bin", + "B. window, trash bin, nightstand, backpack", + "C. trash bin, backpack, nightstand, window", + "D. nightstand, window, backpack, trash bin" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "window": 11, + "trash bin": 4, + "nightstand": 16, + "backpack": 12 + }, + "true_order_per_spatial_code": "trash bin, window, backpack, nightstand", + "ground_truth_option_text": "window, backpack, nightstand, trash bin", + "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/64/scene0207_02/4193.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4193.json new file mode 100644 index 0000000000000000000000000000000000000000..0474d262c569f031b1d641bedc1a198032214a74 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4193.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4193, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: pillow, nightstand, door, sofa?", + "options": [ + "A. pillow, nightstand, door, sofa", + "B. nightstand, door, pillow, sofa", + "C. door, nightstand, pillow, sofa", + "D. pillow, sofa, nightstand, 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/64/scene0207_02/4194.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4194.json new file mode 100644 index 0000000000000000000000000000000000000000..7b4b32c823fe21ad656171529af7a794595e290c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4194.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4194, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: nightstand, closet, backpack, towel?", + "options": [ + "A. closet, backpack, nightstand, towel", + "B. nightstand, closet, towel, backpack", + "C. closet, towel, backpack, nightstand", + "D. nightstand, closet, backpack, towel" + ], + "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/scene0207_02/4195.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4195.json new file mode 100644 index 0000000000000000000000000000000000000000..f53bbef33b5ef387327c30b6645e3004134fef11 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4195.json @@ -0,0 +1,38 @@ +{ + "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": "scene0207_02", + "dataset": "scannet", + "question_id": 4195, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: nightstand, bed, towel, sofa?", + "options": [ + "A. towel, nightstand, sofa, bed", + "B. sofa, bed, towel, nightstand", + "C. bed, sofa, nightstand, towel", + "D. nightstand, bed, towel, sofa" + ], + "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": { + "nightstand": 16, + "bed": 0, + "towel": 15, + "sofa": 14 + }, + "true_order_per_spatial_code": "bed, sofa, towel, nightstand", + "ground_truth_option_text": "bed, sofa, nightstand, towel", + "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/64/scene0207_02/4196.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4196.json new file mode 100644 index 0000000000000000000000000000000000000000..1e0aa3b48594a76a59752acaebc40a8a00ac3ffa --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4196.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4196, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: chair, table, mirror, towel?", + "options": [ + "A. chair, table, mirror, towel", + "B. table, chair, towel, mirror", + "C. towel, table, chair, mirror", + "D. table, chair, mirror, towel" + ], + "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/scene0207_02/4197.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4197.json new file mode 100644 index 0000000000000000000000000000000000000000..eef54f3d483862bcb56c43cce75569d6fbf8451c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4197.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4197, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: mirror, backpack, window, nightstand?", + "options": [ + "A. mirror, backpack, window, nightstand", + "B. backpack, window, mirror, nightstand", + "C. mirror, backpack, nightstand, window", + "D. window, backpack, nightstand, mirror" + ], + "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/scene0207_02/4198.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4198.json new file mode 100644 index 0000000000000000000000000000000000000000..0744d628b75ec0a1758ea372af4dfa22c54c75a3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4198.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4198, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: refrigerator, mirror, table, nightstand?", + "options": [ + "A. table, nightstand, refrigerator, mirror", + "B. refrigerator, nightstand, table, mirror", + "C. table, nightstand, mirror, refrigerator", + "D. refrigerator, mirror, table, nightstand" + ], + "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/scene0207_02/4199.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4199.json new file mode 100644 index 0000000000000000000000000000000000000000..f635224b3cc493b6a699c12a00bccf0ee08bab95 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4199.json @@ -0,0 +1,38 @@ +{ + "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": "scene0207_02", + "dataset": "scannet", + "question_id": 4199, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: trash bin, printer, mirror, nightstand?", + "options": [ + "A. printer, trash bin, mirror, nightstand", + "B. printer, nightstand, trash bin, mirror", + "C. trash bin, printer, mirror, nightstand", + "D. nightstand, printer, mirror, trash bin" + ], + "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": { + "trash bin": 4, + "printer": 8, + "mirror": 22, + "nightstand": 16 + }, + "true_order_per_spatial_code": "trash bin, printer, nightstand, mirror", + "ground_truth_option_text": "printer, nightstand, trash bin, mirror", + "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/64/scene0207_02/4200.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4200.json new file mode 100644 index 0000000000000000000000000000000000000000..c8e26c34a0bf09d60042e73d658f464c46aa76ab --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4200.json @@ -0,0 +1,38 @@ +{ + "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": "scene0207_02", + "dataset": "scannet", + "question_id": 4200, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: nightstand, trash bin, chair, window?", + "options": [ + "A. nightstand, trash bin, window, chair", + "B. nightstand, trash bin, chair, window", + "C. window, chair, nightstand, trash bin", + "D. window, chair, trash bin, nightstand" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "nightstand": 16, + "trash bin": 4, + "chair": 13, + "window": 11 + }, + "true_order_per_spatial_code": "trash bin, window, chair, nightstand", + "ground_truth_option_text": "window, chair, nightstand, trash bin", + "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/64/scene0207_02/4201.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4201.json new file mode 100644 index 0000000000000000000000000000000000000000..36c0b03adae575a753ebb6f393550e73b9ce61b4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4201.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4201, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: backpack, nightstand, table, trash bin?", + "options": [ + "A. backpack, nightstand, table, trash bin", + "B. nightstand, table, trash bin, backpack", + "C. table, backpack, nightstand, trash bin", + "D. backpack, trash bin, table, nightstand" + ], + "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/scene0207_02/4202.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4202.json new file mode 100644 index 0000000000000000000000000000000000000000..659e61efbdd8105ac8ccaecdf26b9a242031f852 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4202.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4202, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: nightstand, closet, backpack, counter?", + "options": [ + "A. closet, backpack, nightstand, counter", + "B. closet, nightstand, counter, backpack", + "C. counter, backpack, closet, nightstand", + "D. nightstand, closet, backpack, counter" + ], + "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/scene0207_02/4203.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4203.json new file mode 100644 index 0000000000000000000000000000000000000000..50e821d02058aec16c3039e880f1225519ecbc9e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4203.json @@ -0,0 +1,29 @@ +{ + "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": "scene0207_02", + "dataset": "scannet", + "question_id": 4203, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: mirror, microwave, backpack, radiator?", + "options": [ + "A. mirror, microwave, backpack, radiator", + "B. radiator, backpack, microwave, mirror", + "C. radiator, mirror, microwave, backpack", + "D. backpack, mirror, microwave, radiator" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "", + "answer_raw": "", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": false, + "reason": "class(es) not found in this scene's spatial code at all: ['radiator']" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4204.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4204.json new file mode 100644 index 0000000000000000000000000000000000000000..53c35010aef3391dc8b4c7a4ac69859312a4746e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4204.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4204, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: towel, bed, nightstand, backpack?", + "options": [ + "A. bed, towel, nightstand, backpack", + "B. towel, bed, nightstand, backpack", + "C. nightstand, bed, backpack, towel", + "D. bed, backpack, nightstand, towel" + ], + "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/scene0207_02/4205.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4205.json new file mode 100644 index 0000000000000000000000000000000000000000..70e3ccae54560bee7eacffb5b498cba4efca8041 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4205.json @@ -0,0 +1,38 @@ +{ + "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": "scene0207_02", + "dataset": "scannet", + "question_id": 4205, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: towel, pillow, nightstand, backpack?", + "options": [ + "A. pillow, backpack, nightstand, towel", + "B. pillow, backpack, towel, nightstand", + "C. backpack, pillow, towel, nightstand", + "D. towel, pillow, nightstand, backpack" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "towel": 15, + "pillow": 2, + "nightstand": 16, + "backpack": 12 + }, + "true_order_per_spatial_code": "pillow, backpack, towel, nightstand", + "ground_truth_option_text": "pillow, backpack, nightstand, towel", + "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/64/scene0207_02/4206.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4206.json new file mode 100644 index 0000000000000000000000000000000000000000..3d1847292a1f12d5b9463d265725a5473fbccf7e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4206.json @@ -0,0 +1,29 @@ +{ + "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": "scene0207_02", + "dataset": "scannet", + "question_id": 4206, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: nightstand, backpack, radiator, mirror?", + "options": [ + "A. radiator, mirror, nightstand, backpack", + "B. radiator, backpack, nightstand, mirror", + "C. mirror, radiator, backpack, nightstand", + "D. nightstand, backpack, radiator, mirror" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "", + "answer_raw": "", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": false, + "reason": "class(es) not found in this scene's spatial code at all: ['radiator']" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4207.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4207.json new file mode 100644 index 0000000000000000000000000000000000000000..af61d9979864af39e81543d5480bb79a6985f0e3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4207.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4207, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: door, backpack, mirror, closet?", + "options": [ + "A. door, backpack, mirror, closet", + "B. mirror, backpack, closet, door", + "C. closet, backpack, door, mirror", + "D. closet, mirror, backpack, 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/64/scene0207_02/4208.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4208.json new file mode 100644 index 0000000000000000000000000000000000000000..a51e2471554afed46137d3bef6b33a9c173db7e4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4208.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4208, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: bed, mirror, refrigerator, nightstand?", + "options": [ + "A. refrigerator, bed, mirror, nightstand", + "B. nightstand, bed, refrigerator, mirror", + "C. bed, mirror, refrigerator, nightstand", + "D. bed, nightstand, refrigerator, mirror" + ], + "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/scene0207_02/4209.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4209.json new file mode 100644 index 0000000000000000000000000000000000000000..86f554974cbd4dc90df505bcf027474d6ac975fa --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4209.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4209, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: mirror, printer, refrigerator, sofa?", + "options": [ + "A. printer, refrigerator, mirror, sofa", + "B. mirror, printer, refrigerator, sofa", + "C. mirror, printer, sofa, refrigerator", + "D. printer, sofa, refrigerator, mirror" + ], + "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/scene0207_02/4210.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4210.json new file mode 100644 index 0000000000000000000000000000000000000000..ab0bcc0f04655b9d661eef60c4868c6df37e2906 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4210.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4210, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: chair, window, mirror, nightstand?", + "options": [ + "A. chair, mirror, nightstand, window", + "B. nightstand, mirror, chair, window", + "C. window, chair, nightstand, mirror", + "D. chair, window, mirror, nightstand" + ], + "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/scene0207_02/4211.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4211.json new file mode 100644 index 0000000000000000000000000000000000000000..a9c2097c9ffd5f74a7975637ddb3dee40107a552 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4211.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4211, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: mirror, nightstand, window, sofa?", + "options": [ + "A. mirror, nightstand, window, sofa", + "B. window, sofa, nightstand, mirror", + "C. nightstand, sofa, window, mirror", + "D. sofa, nightstand, mirror, window" + ], + "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/scene0207_02/4212.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4212.json new file mode 100644 index 0000000000000000000000000000000000000000..ec7bcb4f6ff0646a5d7b63c6928848b4fc1c5ecb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4212.json @@ -0,0 +1,38 @@ +{ + "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": "scene0207_02", + "dataset": "scannet", + "question_id": 4212, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: window, trash bin, sofa, mirror?", + "options": [ + "A. window, sofa, trash bin, mirror", + "B. mirror, window, trash bin, sofa", + "C. window, trash bin, sofa, mirror", + "D. mirror, sofa, trash bin, window" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "window": 11, + "trash bin": 4, + "sofa": 14, + "mirror": 22 + }, + "true_order_per_spatial_code": "trash bin, window, sofa, mirror", + "ground_truth_option_text": "window, sofa, trash bin, mirror", + "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/64/scene0207_02/4213.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4213.json new file mode 100644 index 0000000000000000000000000000000000000000..98bbe8c558ebd4cf62a753a9dc2b93a91a4fb235 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4213.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4213, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: nightstand, trash bin, backpack, mirror?", + "options": [ + "A. backpack, nightstand, trash bin, mirror", + "B. nightstand, trash bin, backpack, mirror", + "C. nightstand, mirror, backpack, trash bin", + "D. mirror, backpack, nightstand, 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/64/scene0207_02/4214.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4214.json new file mode 100644 index 0000000000000000000000000000000000000000..aaa77f07eb0230bdbcd047d3ec421e05ee4f8520 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4214.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4214, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: mirror, refrigerator, bed, chair?", + "options": [ + "A. refrigerator, bed, chair, mirror", + "B. bed, chair, refrigerator, mirror", + "C. mirror, refrigerator, bed, chair", + "D. bed, mirror, refrigerator, 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/scene0207_02/4215.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4215.json new file mode 100644 index 0000000000000000000000000000000000000000..bb05b6351729503fdd7cbed032e8a797a462bf93 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4215.json @@ -0,0 +1,38 @@ +{ + "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": "scene0207_02", + "dataset": "scannet", + "question_id": 4215, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: microwave, monitor, backpack, mirror?", + "options": [ + "A. monitor, mirror, backpack, microwave", + "B. microwave, monitor, backpack, mirror", + "C. monitor, microwave, backpack, mirror", + "D. monitor, backpack, microwave, mirror" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "microwave": 23, + "monitor": 6, + "backpack": 12, + "mirror": 22 + }, + "true_order_per_spatial_code": "monitor, backpack, mirror, microwave", + "ground_truth_option_text": "monitor, backpack, microwave, mirror", + "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/64/scene0207_02/4216.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4216.json new file mode 100644 index 0000000000000000000000000000000000000000..3b1fc5c47c6ce0ba20fcc9f7fd47fab264a5a548 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4216.json @@ -0,0 +1,29 @@ +{ + "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": "scene0207_02", + "dataset": "scannet", + "question_id": 4216, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: trash bin, mirror, backpack, radiator?", + "options": [ + "A. backpack, mirror, trash bin, radiator", + "B. mirror, backpack, radiator, trash bin", + "C. radiator, backpack, trash bin, mirror", + "D. trash bin, mirror, backpack, radiator" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "", + "answer_raw": "", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": false, + "reason": "class(es) not found in this scene's spatial code at all: ['radiator']" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4217.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4217.json new file mode 100644 index 0000000000000000000000000000000000000000..398c4c51be95ba2ead3b64b30b66c66d0313072e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4217.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4217, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: pillow, mirror, chair, trash bin?", + "options": [ + "A. chair, mirror, trash bin, pillow", + "B. pillow, chair, trash bin, mirror", + "C. trash bin, mirror, pillow, chair", + "D. pillow, mirror, chair, trash bin" + ], + "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/scene0207_02/4371.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4371.json new file mode 100644 index 0000000000000000000000000000000000000000..902099b622275601492b5d70478a973134661cf5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4371.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4371, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the closet and facing the radiator, 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. right", + "C. back" + ], + "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/scene0207_02/4372.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4372.json new file mode 100644 index 0000000000000000000000000000000000000000..f0bcad3d805657b285b54c3e235da1ad5477da8d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4372.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4372, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the closet and facing the trash bin, is the radiator 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": "", + "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/scene0207_02/4373.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4373.json new file mode 100644 index 0000000000000000000000000000000000000000..df3ad2a23bb5c4e2122c9c9eb4090d63c1a89509 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4373.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4373, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the radiator and facing the closet, 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": "", + "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/scene0207_02/4581.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4581.json new file mode 100644 index 0000000000000000000000000000000000000000..863b3f81d3c28a944c73978e12dff3144ed85e31 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4581.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4581, + "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/64/scene0207_02/4582.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4582.json new file mode 100644 index 0000000000000000000000000000000000000000..cc99f7db3de5c0a09a6210cbe1015aeda38f045f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4582.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4582, + "question_type": "object_counting", + "question": "How many towel(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/scene0207_02/4583.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4583.json new file mode 100644 index 0000000000000000000000000000000000000000..24f3851d16bc86904c90e7b88a095cf2df6db24a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4583.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4583, + "question_type": "object_counting", + "question": "How many backpack(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/scene0207_02/4584.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4584.json new file mode 100644 index 0000000000000000000000000000000000000000..637dc420102adc088d779986823100d66d41640d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4584.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4584, + "question_type": "object_counting", + "question": "How many door(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "7", + "answer_raw": "7", + "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/scene0207_02/4585.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4585.json new file mode 100644 index 0000000000000000000000000000000000000000..dee633237988f8d30fa244d7fa42127196a9bf71 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4585.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4585, + "question_type": "object_counting", + "question": "How many table(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "3", + "answer_raw": "3", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4926.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4926.json new file mode 100644 index 0000000000000000000000000000000000000000..9861764b2c3fddd87a0c87a3303846d1bed66c68 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4926.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4926, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the sofa and the bed (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.1", + "answer_given": "2.13", + "answer_raw": "2.13", + "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/scene0207_02/4927.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4927.json new file mode 100644 index 0000000000000000000000000000000000000000..e8495ee338868461440143a0eeb559ec756857d2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4927.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4927, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the microwave and the sofa (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.6", + "answer_given": "3.56", + "answer_raw": "3.56", + "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/scene0207_02/4928.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4928.json new file mode 100644 index 0000000000000000000000000000000000000000..f457f1471f7eb99967f65959cb4aeb3dfb38e37d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4928.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4928, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the mirror and the pillow (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.5", + "answer_given": "3.36", + "answer_raw": "3.36", + "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/scene0207_02/4929.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4929.json new file mode 100644 index 0000000000000000000000000000000000000000..850e648e8c05d8a5e9022f37403243062c5da1b9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4929.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4929, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the printer and the refrigerator (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "5.3", + "answer_given": "5.16", + "answer_raw": "5.16", + "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/scene0207_02/4930.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4930.json new file mode 100644 index 0000000000000000000000000000000000000000..711999f49ce88d15a539fa55c020811fddf27d26 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4930.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4930, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the printer and the chair (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.9", + "answer_given": "1.03", + "answer_raw": "1.03", + "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/scene0207_02/4931.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4931.json new file mode 100644 index 0000000000000000000000000000000000000000..5e34c76733bde671dd61d36bf0ab5fcd0f529432 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4931.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4931, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the radiator and the counter (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.5", + "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/scene0207_02/4932.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4932.json new file mode 100644 index 0000000000000000000000000000000000000000..8c468e030e8f27f279f410b532448de13ec66b98 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/4932.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": "scene0207_02", + "dataset": "scannet", + "question_id": 4932, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the refrigerator and the counter (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.4", + "answer_given": "2.11", + "answer_raw": "2.11", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/5053.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/5053.json new file mode 100644 index 0000000000000000000000000000000000000000..25c940bc99bfaa9009069e6045fd5fd2c4677b10 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/5053.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": "scene0207_02", + "dataset": "scannet", + "question_id": 5053, + "question_type": "route_planning", + "question": "You are a robot beginning at the toilet and facing the toilet. You want to navigate to the refrigerator. 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 bathroom sink 3. [please fill in] 4. Go forward until the kitchen counter 5. [please fill in] 6. Go forward until the refrigerator. You have reached the final destination.", + "options": [ + "A. Turn Left, Turn Right, Turn Left", + "B. Turn Right, Turn Left, Turn Right", + "C. Turn Back, Turn Left, Turn Right", + "D. Turn Left, Turn Left, Turn 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/scene0207_02/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..1f56d107c7c2940a9bd776f08d955b4447205f3c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0207_02/_aggregate.json @@ -0,0 +1,16 @@ +{ + "scene_id": "scene0207_02", + "aggregate": { + "overall": 45.495879120879124, + "object_counting_MRA:.5:.95:.05": 26.000000000000007, + "object_abs_distance_MRA:.5:.95:.05": 68.57142857142857, + "object_size_estimation_MRA:.5:.95:.05": 57.85714285714286, + "room_size_estimation_MRA:.5:.95:.05": 90.0, + "object_rel_distance_accuracy": 61.53846153846154, + "object_rel_direction_accuracy": 0.0, + "route_planning_accuracy": 0.0, + "obj_appearance_order_accuracy": 60.0, + "tabulated_keys": "overall, object_counting_MRA:.5:.95:.05, object_abs_distance_MRA:.5:.95:.05, object_size_estimation_MRA:.5:.95:.05, room_size_estimation_MRA:.5:.95:.05, object_rel_distance_accuracy, object_rel_direction_accuracy, route_planning_accuracy, obj_appearance_order_accuracy", + "tabulated_results": "45.496, 26.000, 68.571, 57.857, 90.000, 61.538, 0.000, 0.000, 60.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3182.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3182.json new file mode 100644 index 0000000000000000000000000000000000000000..ae3f01793c6d39be7e5b0c3a6c927fc561680f1f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3182.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": "scene0221_01", + "dataset": "scannet", + "question_id": 3182, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (bed, door, nightstand, table) is the closest to the trash bin?", + "options": [ + "A. bed", + "B. door", + "C. nightstand", + "D. table" + ], + "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/64/scene0221_01/3183.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3183.json new file mode 100644 index 0000000000000000000000000000000000000000..06f78ef4d11ecad174b098b964a0af40665dd991 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3183.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": "scene0221_01", + "dataset": "scannet", + "question_id": 3183, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (bed, nightstand, radiator, door) is the closest to the trash bin?", + "options": [ + "A. bed", + "B. nightstand", + "C. radiator", + "D. door" + ], + "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/64/scene0221_01/3184.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3184.json new file mode 100644 index 0000000000000000000000000000000000000000..3a86d0f09ee92ad99949bc7892c84437fe57e5a4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3184.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": "scene0221_01", + "dataset": "scannet", + "question_id": 3184, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (chair, bed, pillow, lamp) is the closest to the microwave?", + "options": [ + "A. chair", + "B. bed", + "C. pillow", + "D. lamp" + ], + "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/64/scene0221_01/3185.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3185.json new file mode 100644 index 0000000000000000000000000000000000000000..c3d5bf351bcfcdcf9f94b30e56ed1abb159417db --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3185.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": "scene0221_01", + "dataset": "scannet", + "question_id": 3185, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (lamp, pillow, bed, trash bin) is the closest to the microwave?", + "options": [ + "A. lamp", + "B. pillow", + "C. bed", + "D. trash bin" + ], + "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/64/scene0221_01/3186.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3186.json new file mode 100644 index 0000000000000000000000000000000000000000..0c770444be141c989f3575d92525653b09b8bbf1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3186.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": "scene0221_01", + "dataset": "scannet", + "question_id": 3186, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (pillow, table, radiator, bed) is the closest to the microwave?", + "options": [ + "A. pillow", + "B. table", + "C. radiator", + "D. bed" + ], + "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/64/scene0221_01/3187.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3187.json new file mode 100644 index 0000000000000000000000000000000000000000..87ee97496d46787f30668e1fa86fc3f26ad2cfe7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3187.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": "scene0221_01", + "dataset": "scannet", + "question_id": 3187, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (nightstand, bed, trash bin, chair) is the closest to the microwave?", + "options": [ + "A. nightstand", + "B. bed", + "C. trash bin", + "D. chair" + ], + "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/64/scene0221_01/3188.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3188.json new file mode 100644 index 0000000000000000000000000000000000000000..aacd190e363a39730891c7ee15a0cfa214e55fd4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3188.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": "scene0221_01", + "dataset": "scannet", + "question_id": 3188, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (lamp, door, table, trash bin) is the closest to the microwave?", + "options": [ + "A. lamp", + "B. door", + "C. table", + "D. trash bin" + ], + "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/scene0221_01/3189.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3189.json new file mode 100644 index 0000000000000000000000000000000000000000..0f15d945ef8b18704f1ffdc06cd307ee2d3d5c6d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3189.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": "scene0221_01", + "dataset": "scannet", + "question_id": 3189, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (lamp, radiator, bed, chair) is the closest to the microwave?", + "options": [ + "A. lamp", + "B. radiator", + "C. bed", + "D. chair" + ], + "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/64/scene0221_01/3543.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3543.json new file mode 100644 index 0000000000000000000000000000000000000000..42f58dfbda5b2b023415a0efcdbe3af51ba8153c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3543.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": "scene0221_01", + "dataset": "scannet", + "question_id": 3543, + "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": "61", + "answer_given": "59.0", + "answer_raw": "59.0", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3544.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3544.json new file mode 100644 index 0000000000000000000000000000000000000000..5b8a9a9a343e90196b3a4705f039facd93012ccf --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3544.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": "scene0221_01", + "dataset": "scannet", + "question_id": 3544, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the microwave, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "46", + "answer_given": "23.0", + "answer_raw": "23.0", + "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/scene0221_01/3545.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3545.json new file mode 100644 index 0000000000000000000000000000000000000000..5d6935b8612d34bfefd7e51c84727cb2b4415190 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3545.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": "scene0221_01", + "dataset": "scannet", + "question_id": 3545, + "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": "103", + "answer_given": "46.0", + "answer_raw": "46.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3546.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3546.json new file mode 100644 index 0000000000000000000000000000000000000000..6bdb36ff1c7a94a1ebb4374656c03cbfc55e76a6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3546.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": "scene0221_01", + "dataset": "scannet", + "question_id": 3546, + "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": "34", + "answer_given": "30.0", + "answer_raw": "30.0", + "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/scene0221_01/3752.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3752.json new file mode 100644 index 0000000000000000000000000000000000000000..743714ae7ed7deddb0a38e821cf11136c1425a61 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3752.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": "scene0221_01", + "dataset": "scannet", + "question_id": 3752, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the nightstand and facing the microwave, is the trash bin to the left or the right of the microwave?", + "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/scene0221_01/3753.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3753.json new file mode 100644 index 0000000000000000000000000000000000000000..4c8684ae1f028b417e768f859687eebca6007215 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3753.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": "scene0221_01", + "dataset": "scannet", + "question_id": 3753, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the nightstand and facing the trash bin, is the microwave to the left or the right of the trash bin?", + "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/scene0221_01/3754.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3754.json new file mode 100644 index 0000000000000000000000000000000000000000..ab22985468c3f7f87949b9ebd87910e3002b1d36 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3754.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": "scene0221_01", + "dataset": "scannet", + "question_id": 3754, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the microwave and facing the nightstand, is the trash bin to the left or the right of the nightstand?", + "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/64/scene0221_01/3845.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3845.json new file mode 100644 index 0000000000000000000000000000000000000000..196ba09c7087a3441ffede18937f97a441da0431 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/3845.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": "scene0221_01", + "dataset": "scannet", + "question_id": 3845, + "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": "24.8", + "answer_given": "23.9", + "answer_raw": "23.9", + "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/scene0221_01/4374.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4374.json new file mode 100644 index 0000000000000000000000000000000000000000..9ad9ec042670e865ec31f23f97b78bb0e10545c8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4374.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": "scene0221_01", + "dataset": "scannet", + "question_id": 4374, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the nightstand and facing the microwave, 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": "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/scene0221_01/4375.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4375.json new file mode 100644 index 0000000000000000000000000000000000000000..61bef1459bd8f0e95fc4b10707335e95bc1f046c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4375.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": "scene0221_01", + "dataset": "scannet", + "question_id": 4375, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the nightstand and facing the trash bin, is the microwave to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "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/64/scene0221_01/4376.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4376.json new file mode 100644 index 0000000000000000000000000000000000000000..d1da86f1ad05ec36e7e2f4caea4e1845438e01e3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4376.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": "scene0221_01", + "dataset": "scannet", + "question_id": 4376, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the microwave and facing the nightstand, 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": "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/scene0221_01/4587.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4587.json new file mode 100644 index 0000000000000000000000000000000000000000..ec8d17b2b1aa29c2e16af5f76e47479942e7b1b8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4587.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": "scene0221_01", + "dataset": "scannet", + "question_id": 4587, + "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/64/scene0221_01/4588.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4588.json new file mode 100644 index 0000000000000000000000000000000000000000..b45a6dd3291a9ed81b17531497002ccdd46d5b5b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4588.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": "scene0221_01", + "dataset": "scannet", + "question_id": 4588, + "question_type": "object_counting", + "question": "How many chair(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/scene0221_01/4589.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4589.json new file mode 100644 index 0000000000000000000000000000000000000000..7ba60a1b55f42010a7eb06f86ed40a93275b7a82 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4589.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": "scene0221_01", + "dataset": "scannet", + "question_id": 4589, + "question_type": "object_counting", + "question": "How many pillow(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "5", + "answer_given": "7", + "answer_raw": "7", + "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/scene0221_01/4590.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4590.json new file mode 100644 index 0000000000000000000000000000000000000000..079fb4c003469d216aad9e20f66df8718c3aeef9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4590.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": "scene0221_01", + "dataset": "scannet", + "question_id": 4590, + "question_type": "object_counting", + "question": "How many lamp(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/scene0221_01/4591.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4591.json new file mode 100644 index 0000000000000000000000000000000000000000..1107bdec922c49f3dad424e36b0226d19312e0fc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4591.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": "scene0221_01", + "dataset": "scannet", + "question_id": 4591, + "question_type": "object_counting", + "question": "How many door(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/scene0221_01/4592.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4592.json new file mode 100644 index 0000000000000000000000000000000000000000..52d4c95353155f816423a530414fcc1b6d7ae8be --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4592.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": "scene0221_01", + "dataset": "scannet", + "question_id": 4592, + "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/64/scene0221_01/4933.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4933.json new file mode 100644 index 0000000000000000000000000000000000000000..f960e0c3c159c3fa14fc20c7a9f95d7968b66730 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4933.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": "scene0221_01", + "dataset": "scannet", + "question_id": 4933, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the microwave and the nightstand (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.5", + "answer_given": "2.29", + "answer_raw": "2.29", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4934.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4934.json new file mode 100644 index 0000000000000000000000000000000000000000..9700247a959963fde58cd276e4703c42c9379b93 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4934.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": "scene0221_01", + "dataset": "scannet", + "question_id": 4934, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the radiator and the nightstand (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.8", + "answer_given": "1.84", + "answer_raw": "1.84", + "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/scene0221_01/4935.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4935.json new file mode 100644 index 0000000000000000000000000000000000000000..124b2541f8dbaf21e310d8ccfe005d4598286d47 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4935.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": "scene0221_01", + "dataset": "scannet", + "question_id": 4935, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the radiator and the microwave (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "5.8", + "answer_given": "0.66", + "answer_raw": "0.66", + "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/scene0221_01/4936.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4936.json new file mode 100644 index 0000000000000000000000000000000000000000..9aceb767526a7f230468c73c79265ec90f1518c3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4936.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": "scene0221_01", + "dataset": "scannet", + "question_id": 4936, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the trash bin and the nightstand (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.9", + "answer_given": "2.39", + "answer_raw": "2.39", + "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/scene0221_01/4937.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4937.json new file mode 100644 index 0000000000000000000000000000000000000000..05ca139f79f428abb9b070a4bb4282a58d380d1b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4937.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": "scene0221_01", + "dataset": "scannet", + "question_id": 4937, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the trash bin and the microwave (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.2", + "answer_given": "0.58", + "answer_raw": "0.58", + "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/scene0221_01/4938.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4938.json new file mode 100644 index 0000000000000000000000000000000000000000..d0804b7b379c6aae0baa0d06e00bd1c983820601 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/4938.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": "scene0221_01", + "dataset": "scannet", + "question_id": 4938, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the trash bin and the radiator (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "6.0", + "answer_given": "1.04", + "answer_raw": "1.04", + "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/scene0221_01/5041.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/5041.json new file mode 100644 index 0000000000000000000000000000000000000000..1ed4838f52c987688b61cea836ebd47fef35fd0b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/5041.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": "scene0221_01", + "dataset": "scannet", + "question_id": 5041, + "question_type": "route_planning", + "question": "You are a robot beginning at the door and facing the door. You want to navigate to the lamp. 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 first chair is on your right. 3. [please fill in] 4. Go forward until the lamp. You have reached the final destination.", + "options": [ + "A. Turn Left, Turn Left", + "B. Turn Back, Turn Left", + "C. Turn Right, Turn Left", + "D. Turn Back, 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/64/scene0221_01/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..d4986cf57800cee1169b4cf132d8430c1c2a71b8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0221_01/_aggregate.json @@ -0,0 +1,15 @@ +{ + "scene_id": "scene0221_01", + "aggregate": { + "overall": 41.9047619047619, + "object_counting_MRA:.5:.95:.05": 33.33333333333333, + "object_abs_distance_MRA:.5:.95:.05": 33.33333333333333, + "object_size_estimation_MRA:.5:.95:.05": 47.5, + "room_size_estimation_MRA:.5:.95:.05": 100.0, + "object_rel_distance_accuracy": 12.5, + "object_rel_direction_accuracy": 66.66666666666666, + "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": "41.905, 33.333, 33.333, 47.500, 100.000, 12.500, 66.667, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/3212.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/3212.json new file mode 100644 index 0000000000000000000000000000000000000000..9150ce522a5d092d13674739cee8ebce6e7be38e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/3212.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": "scene0304_00", + "dataset": "scannet", + "question_id": 3212, + "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": "55", + "answer_given": "48.0", + "answer_raw": "48.0", + "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/scene0304_00/3213.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/3213.json new file mode 100644 index 0000000000000000000000000000000000000000..50e4a51e57d2835d780f2f063fbae852e8165c3c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/3213.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": "scene0304_00", + "dataset": "scannet", + "question_id": 3213, + "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": "209", + "answer_given": "103.0", + "answer_raw": "103.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/3214.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/3214.json new file mode 100644 index 0000000000000000000000000000000000000000..3c354bab3aa932b0a21dde3472303db917b416cb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/3214.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": "scene0304_00", + "dataset": "scannet", + "question_id": 3214, + "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": "95", + "answer_given": "191.0", + "answer_raw": "191.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/3565.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/3565.json new file mode 100644 index 0000000000000000000000000000000000000000..7dac6efa6b97dc95256b26c552c092120e3ed882 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/3565.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": "scene0304_00", + "dataset": "scannet", + "question_id": 3565, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the backpack 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-right", + "B. back-left", + "C. back-right", + "D. front-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/64/scene0304_00/3566.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/3566.json new file mode 100644 index 0000000000000000000000000000000000000000..c2f6033e102389daeb801d9698a8e711df9403ca --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/3566.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": "scene0304_00", + "dataset": "scannet", + "question_id": 3566, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the backpack 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. front-right", + "C. front-left", + "D. back-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/64/scene0304_00/3567.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/3567.json new file mode 100644 index 0000000000000000000000000000000000000000..1236698f5a1a710ba425681c3222e25c0bec64db --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/3567.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": "scene0304_00", + "dataset": "scannet", + "question_id": 3567, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the door and facing the backpack, 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-right", + "B. front-left", + "C. back-left", + "D. back-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/64/scene0304_00/3763.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/3763.json new file mode 100644 index 0000000000000000000000000000000000000000..3cb36d0acace3241bb5895e1b79d7b60a19dc887 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/3763.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": "scene0304_00", + "dataset": "scannet", + "question_id": 3763, + "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": "14.7", + "answer_raw": "14.7", + "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/scene0304_00/4239.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/4239.json new file mode 100644 index 0000000000000000000000000000000000000000..55cd5d837dadff7544a5686ea7d25a3bdc90109d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/4239.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": "scene0304_00", + "dataset": "scannet", + "question_id": 4239, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the backpack 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. left", + "B. right", + "C. back" + ], + "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/64/scene0304_00/4240.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/4240.json new file mode 100644 index 0000000000000000000000000000000000000000..80dd24beac85db651a324ffbb221511dc7839443 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/4240.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": "scene0304_00", + "dataset": "scannet", + "question_id": 4240, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the backpack 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. back", + "B. right", + "C. left" + ], + "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/64/scene0304_00/4616.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/4616.json new file mode 100644 index 0000000000000000000000000000000000000000..aeea024be8150203fda2ee47abda13eed20b3b1f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/4616.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": "scene0304_00", + "dataset": "scannet", + "question_id": 4616, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the backpack (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.2", + "answer_given": "0.34", + "answer_raw": "0.34", + "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/scene0304_00/4617.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/4617.json new file mode 100644 index 0000000000000000000000000000000000000000..97dc8983f351e8611b03305348d4449bfeade6fb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/4617.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": "scene0304_00", + "dataset": "scannet", + "question_id": 4617, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the trash bin and the backpack (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.3", + "answer_given": "1.12", + "answer_raw": "1.12", + "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/scene0304_00/4618.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/4618.json new file mode 100644 index 0000000000000000000000000000000000000000..a3a0eff0e03313b43f955fed7b395f316ececb7f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/4618.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": "scene0304_00", + "dataset": "scannet", + "question_id": 4618, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the trash bin and the door (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "4.9", + "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/64/scene0304_00/5134.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/5134.json new file mode 100644 index 0000000000000000000000000000000000000000..11635421127c20691caedbc7b9b0642898ce88ea --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/5134.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": "scene0304_00", + "dataset": "scannet", + "question_id": 5134, + "question_type": "route_planning", + "question": "You are a robot beginning at the backpack facing the backpack. You want to navigate to the door. You will perform the following actions (Note: for each [please fill in], choose either 'turn back,' 'turn left,' or 'turn right.'): 1. [please fill in] 2. Go forward until the PO Boxes 3. [please fill in] 4. Go forward until the door. You have reached the final destination.", + "options": [ + "A. Turn Right, Turn Right", + "B. Turn Left, Turn Left", + "C. Turn Left, Turn Right", + "D. Turn Right, Turn 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/scene0304_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..5df3539a75731d2156c67cbaa86adf4aa8276907 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0304_00/_aggregate.json @@ -0,0 +1,13 @@ +{ + "scene_id": "scene0304_00", + "aggregate": { + "overall": 20.666666666666664, + "object_abs_distance_MRA:.5:.95:.05": 26.666666666666668, + "object_size_estimation_MRA:.5:.95:.05": 26.666666666666668, + "room_size_estimation_MRA:.5:.95:.05": 50.0, + "object_rel_direction_accuracy": 0.0, + "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, object_rel_direction_accuracy, route_planning_accuracy", + "tabulated_results": "20.667, 26.667, 26.667, 50.000, 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/64/scene0328_00/3222.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3222.json new file mode 100644 index 0000000000000000000000000000000000000000..61499a411309a1779c81d0506c906803b86ee479 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3222.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": "scene0328_00", + "dataset": "scannet", + "question_id": 3222, + "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": "134", + "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/scene0328_00/3223.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3223.json new file mode 100644 index 0000000000000000000000000000000000000000..5f1dfb8b6e276a0abde79928240b2054c8021789 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3223.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": "scene0328_00", + "dataset": "scannet", + "question_id": 3223, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the counter, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "448", + "answer_given": "154.0", + "answer_raw": "154.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3224.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3224.json new file mode 100644 index 0000000000000000000000000000000000000000..9fb68085a9b74de338fa8e28ab512984034a16c2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3224.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": "scene0328_00", + "dataset": "scannet", + "question_id": 3224, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the refrigerator, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "172", + "answer_given": "105.0", + "answer_raw": "105.0", + "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/scene0328_00/3225.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3225.json new file mode 100644 index 0000000000000000000000000000000000000000..37acce5da42f5d2f29b0c9c69d854002d3d7449c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3225.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": "scene0328_00", + "dataset": "scannet", + "question_id": 3225, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the microwave, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "78", + "answer_given": "52.0", + "answer_raw": "52.0", + "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/scene0328_00/3226.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3226.json new file mode 100644 index 0000000000000000000000000000000000000000..f71f64001acabf05a6570d32d1787ef65cfdafa0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3226.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": "scene0328_00", + "dataset": "scannet", + "question_id": 3226, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the oven, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "113", + "answer_given": "73.0", + "answer_raw": "73.0", + "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/scene0328_00/3571.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3571.json new file mode 100644 index 0000000000000000000000000000000000000000..0bfdc6bd445936f7174f3b214d4af8fe067c3561 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3571.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": "scene0328_00", + "dataset": "scannet", + "question_id": 3571, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the window and facing the refrigerator, is the microwave to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-left", + "B. back-right", + "C. front-right", + "D. front-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/scene0328_00/3572.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3572.json new file mode 100644 index 0000000000000000000000000000000000000000..8dadc838558119268fb18df3f75f19081ec88f57 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3572.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": "scene0328_00", + "dataset": "scannet", + "question_id": 3572, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the window and facing the microwave, is the refrigerator 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-right", + "D. back-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/scene0328_00/3573.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3573.json new file mode 100644 index 0000000000000000000000000000000000000000..e6911b4d143259f4ea71292b99d9e5fb5025f903 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3573.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": "scene0328_00", + "dataset": "scannet", + "question_id": 3573, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the refrigerator and facing the window, is the microwave to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-right", + "B. front-left", + "C. back-left", + "D. front-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/64/scene0328_00/3766.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/3766.json new file mode 100644 index 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Representative Instances Using Track Persistence/64/scene0328_00/4249.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": "scene0328_00", + "dataset": "scannet", + "question_id": 4249, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the refrigerator and facing the window, is the oven to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "options": [ + "A. right", + "B. left", + "C. back" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/4627.json 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"answer_given": "1.45", + "answer_raw": "1.45", + "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/scene0328_00/5015.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/5015.json new file mode 100644 index 0000000000000000000000000000000000000000..70638a9ef82770837324dc691c7a5093f0c428fb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/5015.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": "scene0328_00", + "dataset": "scannet", + "question_id": 5015, + "question_type": "route_planning", + "question": 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You want to navigate to the microwave. 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 refridgerator. 3. [please fill in] 4. Go forward until the microwave. You have reached the final destination.", + "options": [ + "A. Turn Back, Turn Right", + "B. Turn Back, Turn Left", + "C. Turn Left, Turn Right", + "D. Turn Right, 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/scene0328_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..97b7089257ce23f0a8a84546fa73ff4a93db1a3a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0328_00/_aggregate.json @@ -0,0 +1,13 @@ +{ + "scene_id": "scene0328_00", + "aggregate": { + "overall": 29.333333333333332, + "object_abs_distance_MRA:.5:.95:.05": 36.66666666666667, + "object_size_estimation_MRA:.5:.95:.05": 20.0, + "room_size_estimation_MRA:.5:.95:.05": 90.0, + 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/2968.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/2968.json new file mode 100644 index 0000000000000000000000000000000000000000..6e496ee75c6150ca624700e12d6a70211ef3647f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/2968.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": "scene0356_00", + "dataset": "scannet", + "question_id": 2968, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (telephone, door, radiator, chair) is the closest to the window?", + "options": [ + "A. telephone", + "B. door", + "C. radiator", + "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/64/scene0356_00/2969.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/2969.json new file mode 100644 index 0000000000000000000000000000000000000000..11f6db06e7b0ad28efba4ce9513add9ef3b5950e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/2969.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": "scene0356_00", + "dataset": "scannet", + "question_id": 2969, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, trash bin, bed, window) is the closest to the telephone?", + "options": [ + "A. table", + "B. trash bin", + "C. bed", + "D. 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/64/scene0356_00/2970.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/2970.json new file mode 100644 index 0000000000000000000000000000000000000000..d1b94be172b714aa4d89e6ba59feaf4e3e78945c --- /dev/null +++ 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b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/2971.json new file mode 100644 index 0000000000000000000000000000000000000000..f705baef2ce383275f41165ef9c4e3c040e6e931 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/2971.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": "scene0356_00", + "dataset": "scannet", + "question_id": 2971, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (window, door, trash bin, table) is the closest to the radiator?", + "options": [ + "A. window", + "B. door", + "C. trash bin", + "D. table" + ], + "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/scene0356_00/3242.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3242.json new file mode 100644 index 0000000000000000000000000000000000000000..31b18d33b1948ddc2759a4f6cfbcc0a3bd5e0bc4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3242.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": "scene0356_00", + "dataset": "scannet", + "question_id": 3242, + "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": "234", + "answer_given": "149.0", + "answer_raw": "149.0", + "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/scene0356_00/3243.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3243.json new file mode 100644 index 0000000000000000000000000000000000000000..49ce63a0e1d1304ff38b5ec6dda9031356bcc83a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3243.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": "scene0356_00", + "dataset": "scannet", + "question_id": 3243, + "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": "68.0", + "answer_raw": "68.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3244.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3244.json new file mode 100644 index 0000000000000000000000000000000000000000..bfd9ad40a9fbfbebbf30dd2bfd3c6f0519a2b300 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3244.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": "scene0356_00", + "dataset": "scannet", + "question_id": 3244, + "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": "191", + "answer_given": "154.0", + "answer_raw": "154.0", + "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/scene0356_00/3245.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3245.json new file mode 100644 index 0000000000000000000000000000000000000000..debf31a9467f18b907280e1b8515136293b3401d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3245.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": "scene0356_00", + "dataset": "scannet", + "question_id": 3245, + "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": "130", + "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/scene0356_00/3246.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3246.json new file mode 100644 index 0000000000000000000000000000000000000000..de73e82110674d3b9538b99c2f6e814ac0861cb5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3246.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": "scene0356_00", + "dataset": "scannet", + "question_id": 3246, + "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": "48", + "answer_given": "17.0", + "answer_raw": "17.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3247.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3247.json new file mode 100644 index 0000000000000000000000000000000000000000..f6a3a1cc40995e5e8eb0263891ba0996c32d23bb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3247.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": "scene0356_00", + "dataset": "scannet", + "question_id": 3247, + "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": "132", + "answer_given": "70.0", + "answer_raw": "70.0", + "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/scene0356_00/3577.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3577.json new file mode 100644 index 0000000000000000000000000000000000000000..31d9a2d688139d24cfb1463128c15de397e54d76 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3577.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": 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b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3578.json new file mode 100644 index 0000000000000000000000000000000000000000..991d967103bd46dcfe48fe6974ed912093e97662 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3578.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": "scene0356_00", + "dataset": "scannet", + "question_id": 3578, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the bed and facing the table, is the telephone 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-right", + "D. front-left" + ], + "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/64/scene0356_00/3579.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3579.json new file mode 100644 index 0000000000000000000000000000000000000000..6e92de496e8aed890a866ce425f03d387558a54a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3579.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": "scene0356_00", + "dataset": "scannet", + "question_id": 3579, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the telephone 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. front-left", + "B. back-right", + "C. front-right", + "D. back-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/64/scene0356_00/3707.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3707.json new file mode 100644 index 0000000000000000000000000000000000000000..4694eb623bbd5a549d74839e3b4b8c7d1db45b74 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3707.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": "scene0356_00", + "dataset": "scannet", + "question_id": 3707, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the bed and facing the radiator, is the telephone to the left or the right of the radiator?", + "options": [ + "A. left", + "B. 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/64/scene0356_00/3708.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3708.json new file mode 100644 index 0000000000000000000000000000000000000000..8da558eb1124988d9c47eddf5528461872187916 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3708.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": "scene0356_00", + "dataset": "scannet", + "question_id": 3708, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the bed and facing the telephone, is the radiator to the left or the right of the telephone?", + "options": [ + "A. left", + "B. 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/scene0356_00/3709.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3709.json new file mode 100644 index 0000000000000000000000000000000000000000..235ea8d40c6a3d6977de64efea1b480bcec3c1a2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3709.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": "scene0356_00", + "dataset": "scannet", + "question_id": 3709, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the radiator and facing the bed, is the telephone to the left or the right of the bed?", + "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/scene0356_00/3770.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3770.json new file mode 100644 index 0000000000000000000000000000000000000000..91c8fff1531a8c77ebe914ca8838f845de662860 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/3770.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": "scene0356_00", + "dataset": "scannet", + "question_id": 3770, + "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": "12.3", + "answer_given": "7.4", + "answer_raw": "7.4", + "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/scene0356_00/4256.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4256.json new file mode 100644 index 0000000000000000000000000000000000000000..20a2317f3ba6aead5c35e5e3fee9bea61d00b44d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4256.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": "scene0356_00", + "dataset": "scannet", + "question_id": 4256, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the bed and facing the telephone, 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. 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/64/scene0356_00/4257.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4257.json new file mode 100644 index 0000000000000000000000000000000000000000..b95a35cda99f54599cdea2ad940c95661f64b933 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4257.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": "scene0356_00", + "dataset": "scannet", + "question_id": 4257, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the bed and facing the table, is the telephone to my left, right, or back?\nAn object is to my back if I would have to turn at least 135 degrees in order to face it.", + "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/64/scene0356_00/4258.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4258.json new file mode 100644 index 0000000000000000000000000000000000000000..d430e36efa5994234eca999287c80ea4f374c6af --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4258.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": "scene0356_00", + "dataset": "scannet", + "question_id": 4258, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the telephone and facing the bed, 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. 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/64/scene0356_00/4401.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4401.json new file mode 100644 index 0000000000000000000000000000000000000000..b9eefab6dc49e0b6319f113c7e07abfc5e04a798 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4401.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": "scene0356_00", + "dataset": "scannet", + "question_id": 4401, + "question_type": "object_counting", + "question": "How many door(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "3", + "answer_given": "4", + "answer_raw": "4", + "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/scene0356_00/4402.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4402.json new file mode 100644 index 0000000000000000000000000000000000000000..af83ef601c6c85591efddbfa56e36260653f327f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4402.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": "scene0356_00", + "dataset": "scannet", + "question_id": 4402, + "question_type": "object_counting", + "question": "How many trash bin(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/scene0356_00/4648.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4648.json new file mode 100644 index 0000000000000000000000000000000000000000..caa8ab2ec15ddf24f571478ec124a8709a089fcc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4648.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": "scene0356_00", + "dataset": "scannet", + "question_id": 4648, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the telephone (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.5", + "answer_given": "2.46", + "answer_raw": "2.46", + "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/scene0356_00/4649.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4649.json new file mode 100644 index 0000000000000000000000000000000000000000..0afe0e4bd7483c4dc492dc70ce13deacf303935d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4649.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": "scene0356_00", + "dataset": "scannet", + "question_id": 4649, + "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": "2.6", + "answer_given": "2.62", + "answer_raw": "2.62", + "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/scene0356_00/4650.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4650.json new file mode 100644 index 0000000000000000000000000000000000000000..14ec412cc2ff5a096eaa8a36bb9f4f07432075ab --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4650.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": "scene0356_00", + "dataset": "scannet", + "question_id": 4650, + "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": "0.8", + "answer_given": "0.84", + "answer_raw": "0.84", + "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/scene0356_00/4651.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4651.json new file mode 100644 index 0000000000000000000000000000000000000000..4e930a33052f26690f76a982c2da6c1e0db1b41e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4651.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": "scene0356_00", + "dataset": "scannet", + "question_id": 4651, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the radiator and the chair (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.0", + "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/64/scene0356_00/4652.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4652.json new file mode 100644 index 0000000000000000000000000000000000000000..8a15960be4ac912abe83c9c3bec06de31a15e857 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4652.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": "scene0356_00", + "dataset": "scannet", + "question_id": 4652, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the radiator and the bed (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.5", + "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 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"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/scene0356_00/4654.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4654.json new file mode 100644 index 0000000000000000000000000000000000000000..43ac9d58a3be72db5c751a513fd133153340f79b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/4654.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": "scene0356_00", + "dataset": "scannet", + "question_id": 4654, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the telephone and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.8", + "answer_given": "3.73", + "answer_raw": "3.73", + "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/scene0356_00/5056.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/5056.json new file mode 100644 index 0000000000000000000000000000000000000000..b3d2b5ed4f7e8e97a8690403080b38bbf4b6b41c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/5056.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": "scene0356_00", + "dataset": "scannet", + "question_id": 5056, + "question_type": "route_planning", + "question": "You are a robot beginning at the table and facing the window. You want to navigate to the dresser. 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]. You have reached the final destination.", + "options": [ + "A. Turn Left, Turn Left", + "B. Turn Right, Turn Right", + "C. Turn Back, Turn Right", + "D. 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/scene0356_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..b9ac8af42c24950954c22cd9f0e006558f2a96c0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0356_00/_aggregate.json @@ -0,0 +1,15 @@ +{ + "scene_id": "scene0356_00", + "aggregate": { + "overall": 27.2108843537415, + "object_counting_MRA:.5:.95:.05": 25.0, + "object_abs_distance_MRA:.5:.95:.05": 57.14285714285714, + "object_size_estimation_MRA:.5:.95:.05": 28.333333333333332, + 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b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/2972.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": "scene0357_01", + "dataset": "scannet", + "question_id": 2972, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (towel, door, table, backpack) is the closest to the window?", + "options": [ + "A. towel", + "B. door", + "C. table", + "D. backpack" + ], + "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/64/scene0357_01/2973.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/2973.json new file mode 100644 index 0000000000000000000000000000000000000000..4ef739d81b53fc472cfd35d4505878687dab5b29 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/2973.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": "scene0357_01", + "dataset": "scannet", + "question_id": 2973, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, backpack, door, window) is the closest to the towel?", + "options": [ + "A. table", + "B. backpack", + "C. door", + "D. window" + ], + "full_prompt": null, + "answer_expected": "D", + "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/64/scene0357_01/2974.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/2974.json new file mode 100644 index 0000000000000000000000000000000000000000..874073395fb41aaa4d674f105fe47f29bbd08aef --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/2974.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": "scene0357_01", + "dataset": "scannet", + "question_id": 2974, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (window, door, backpack, towel) is the closest to the table?", + "options": [ + "A. window", + "B. door", + "C. backpack", + "D. towel" + ], + "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/64/scene0357_01/3248.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3248.json new file mode 100644 index 0000000000000000000000000000000000000000..07a6092d88ef5ac315cadea86183ab95f729081a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3248.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": "scene0357_01", + "dataset": "scannet", + "question_id": 3248, + "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": "54", + "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/64/scene0357_01/3249.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3249.json new file mode 100644 index 0000000000000000000000000000000000000000..a97774c63d5ca35c6c77a105e0848265df3a4536 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3249.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": "scene0357_01", + "dataset": "scannet", + "question_id": 3249, + "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": "88", + "answer_given": "23.0", + "answer_raw": "23.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3250.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3250.json new file mode 100644 index 0000000000000000000000000000000000000000..8b42df04823713e824f4d2a3490717feee8564b4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3250.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": "scene0357_01", + "dataset": "scannet", + "question_id": 3250, + "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": "46", + "answer_given": "42.0", + "answer_raw": "42.0", + "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/scene0357_01/3251.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3251.json new file mode 100644 index 0000000000000000000000000000000000000000..ef3d3f7a4816dc7ec0efbd9d9d3a6493a24e41a0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3251.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": "scene0357_01", + "dataset": "scannet", + "question_id": 3251, + "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": "68", + "answer_given": "60.0", + "answer_raw": "60.0", + "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/scene0357_01/3580.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3580.json new file mode 100644 index 0000000000000000000000000000000000000000..b5ca76c01a7df6257ad9aefaa99e7ca8d412b2c8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3580.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": "scene0357_01", + "dataset": "scannet", + "question_id": 3580, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the window and facing the towel, 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-left", + "B. front-right", + "C. back-right", + "D. back-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/scene0357_01/3581.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3581.json new file mode 100644 index 0000000000000000000000000000000000000000..c92b63a06f36a915a7fdea0cee9daca5a8d38384 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3581.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": "scene0357_01", + "dataset": "scannet", + "question_id": 3581, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the window and facing the table, 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. back-left", + "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/scene0357_01/3582.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3582.json new file mode 100644 index 0000000000000000000000000000000000000000..82f1b4bdfa1d6675a42a7ff1948bb5cd0a56b3e2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3582.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": "scene0357_01", + "dataset": "scannet", + "question_id": 3582, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the towel and facing the window, 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/scene0357_01/3583.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3583.json new file mode 100644 index 0000000000000000000000000000000000000000..d6e9be665853225e78382408d90204e1dc4c58b3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3583.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": "scene0357_01", + "dataset": "scannet", + "question_id": 3583, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the window and facing the towel, is the backpack 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": "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/scene0357_01/3584.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3584.json new file mode 100644 index 0000000000000000000000000000000000000000..e26415a9b71ea77494b438fdb50201e90ef57559 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3584.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": "scene0357_01", + "dataset": "scannet", + "question_id": 3584, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the window and facing the backpack, 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. back-left", + "C. front-right", + "D. front-left" + ], + "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/scene0357_01/3710.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3710.json new file mode 100644 index 0000000000000000000000000000000000000000..b8e19ed839dcd18a54600b57790b17da246f05de --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3710.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": "scene0357_01", + "dataset": "scannet", + "question_id": 3710, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the window and facing the towel, is the table to the left or the right of the towel?", + "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/64/scene0357_01/3711.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3711.json new file mode 100644 index 0000000000000000000000000000000000000000..35d4b7cb02fe865debe50bac305a138d378b0396 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3711.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": "scene0357_01", + "dataset": "scannet", + "question_id": 3711, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the window and facing the table, is the towel to the left or the right of the table?", + "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/64/scene0357_01/3712.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3712.json new file mode 100644 index 0000000000000000000000000000000000000000..89cac0c480975688bc4d8e48c0acd4504f05b03f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3712.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": "scene0357_01", + "dataset": "scannet", + "question_id": 3712, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the towel and facing the window, is the table to the left or the right of the window?", + "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/64/scene0357_01/3771.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3771.json new file mode 100644 index 0000000000000000000000000000000000000000..876f219bf85d9a1aefe5729617a9b661cfe9517c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/3771.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": "scene0357_01", + "dataset": "scannet", + "question_id": 3771, + "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": "10.9", + "answer_given": "6.5", + "answer_raw": "6.5", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4259.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4259.json new file mode 100644 index 0000000000000000000000000000000000000000..59aeca8a70201190b480e66cfae4a7ad622c21f3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4259.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": "scene0357_01", + "dataset": "scannet", + "question_id": 4259, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the backpack and facing the window, 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. back", + "C. 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/64/scene0357_01/4260.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4260.json new file mode 100644 index 0000000000000000000000000000000000000000..40f21fe63ae81cb608eea33d3f1f9f1cb38f7c5e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4260.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": "scene0357_01", + "dataset": "scannet", + "question_id": 4260, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the window and facing the towel, is the backpack 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": "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/scene0357_01/4261.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4261.json new file mode 100644 index 0000000000000000000000000000000000000000..19805ca89f91c60a07a64c4d8da53b727f55a6bb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4261.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": "scene0357_01", + "dataset": "scannet", + "question_id": 4261, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the window and facing the backpack, 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. back", + "C. 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/scene0357_01/4262.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4262.json new file mode 100644 index 0000000000000000000000000000000000000000..2da391443bfd31c7b07b283b3380161a7102ff53 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4262.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": "scene0357_01", + "dataset": "scannet", + "question_id": 4262, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the towel and facing the window, is the backpack 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": "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/scene0357_01/4403.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4403.json new file mode 100644 index 0000000000000000000000000000000000000000..2d67e831068ec1ab338eb54884eba1511dfc192d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4403.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": "scene0357_01", + "dataset": "scannet", + "question_id": 4403, + "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/64/scene0357_01/4655.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4655.json new file mode 100644 index 0000000000000000000000000000000000000000..04ba9c98aed329885849bffd6d361a246f00d037 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4655.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": "scene0357_01", + "dataset": "scannet", + "question_id": 4655, + "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": "0.4", + "answer_given": "2.38", + "answer_raw": "2.38", + "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/scene0357_01/4656.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4656.json new file mode 100644 index 0000000000000000000000000000000000000000..efffa777b8987b7837191657263cc76cd9bca358 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4656.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": "scene0357_01", + "dataset": "scannet", + "question_id": 4656, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the backpack and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.3", + "answer_given": "1.28", + "answer_raw": "1.28", + "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/scene0357_01/4657.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4657.json new file mode 100644 index 0000000000000000000000000000000000000000..3fd0523dc50a250d1217aa6f075edcfd49770a7f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4657.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": "scene0357_01", + "dataset": "scannet", + "question_id": 4657, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the backpack and the towel (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.8", + "answer_given": "1.28", + "answer_raw": "1.28", + "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/scene0357_01/4658.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4658.json new file mode 100644 index 0000000000000000000000000000000000000000..409f591f3ccef2876eefaabc6d29b8e2763bb17d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4658.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": "scene0357_01", + "dataset": "scannet", + "question_id": 4658, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.3", + "answer_given": "2.19", + "answer_raw": "2.19", + "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/scene0357_01/4659.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4659.json new file mode 100644 index 0000000000000000000000000000000000000000..d0e5aa7e661a74678318fb6cecb6ace02184da42 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4659.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": "scene0357_01", + "dataset": "scannet", + "question_id": 4659, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the towel (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.0", + "answer_given": "0.39", + "answer_raw": "0.39", + "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/scene0357_01/4660.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4660.json new file mode 100644 index 0000000000000000000000000000000000000000..3ab1d69aa6c14888e12e0e49ac7666626df2ad2d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/4660.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": "scene0357_01", + "dataset": "scannet", + "question_id": 4660, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the backpack (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.7", + "answer_given": "0.83", + "answer_raw": "0.83", + "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/scene0357_01/5058.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/5058.json new file mode 100644 index 0000000000000000000000000000000000000000..04a8e3016219595e52cbdabb73bcde965e0a2066 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/5058.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": "scene0357_01", + "dataset": "scannet", + "question_id": 5058, + "question_type": "route_planning", + "question": "You are a robot beginning at the closet and facing the closet. You want to navigate to the closed 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 wall 3. [please fill in] 4. Go forward until the door. You have reached the final destination.", + "options": [ + "A. Turn Left, Turn Right", + "B. Turn Right, Turn Left", + "C. Turn Right, Turn Right", + "D. Turn Back, 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/scene0357_01/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..87b8b748fca5a80d266b614535d669517e1afb8f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0357_01/_aggregate.json @@ -0,0 +1,15 @@ +{ + "scene_id": "scene0357_01", + "aggregate": { + "overall": 32.023809523809526, + "object_counting_MRA:.5:.95:.05": 10.0, + "object_abs_distance_MRA:.5:.95:.05": 45.0, + "object_size_estimation_MRA:.5:.95:.05": 57.49999999999999, + "room_size_estimation_MRA:.5:.95:.05": 20.0, + "object_rel_distance_accuracy": 0.0, + "object_rel_direction_accuracy": 91.66666666666666, + "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": "32.024, 10.000, 45.000, 57.500, 20.000, 0.000, 91.667, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0412_00/3773.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0412_00/3773.json new file mode 100644 index 0000000000000000000000000000000000000000..0eb099b47ebe4b7e014e4c2cd188b49a889cf8d3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0412_00/3773.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": "scene0412_00", + "dataset": "scannet", + "question_id": 3773, + "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": "18.9", + "answer_given": "11.2", + "answer_raw": "11.2", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0412_00/4407.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0412_00/4407.json new file mode 100644 index 0000000000000000000000000000000000000000..c8467cc567169bcf33eb58e7662f227fa6dad73c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0412_00/4407.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": "scene0412_00", + "dataset": "scannet", + "question_id": 4407, + "question_type": "object_counting", + "question": "How many door(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "2", + "answer_given": "8", + "answer_raw": "8", + "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/scene0412_00/4408.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0412_00/4408.json new file mode 100644 index 0000000000000000000000000000000000000000..0f5ee09fb0bffa9f8a76ff331c1296481f035886 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0412_00/4408.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": "scene0412_00", + "dataset": "scannet", + "question_id": 4408, + "question_type": "object_counting", + "question": "How many trash bin(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "6", + "answer_given": "5", + "answer_raw": "5", + "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/scene0412_00/4409.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0412_00/4409.json new file mode 100644 index 0000000000000000000000000000000000000000..b4059945ed3af3bae156ae73b25c10789046b1d3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0412_00/4409.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": "scene0412_00", + "dataset": "scannet", + "question_id": 4409, + "question_type": "object_counting", + "question": "How many table(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "5", + "answer_given": "3", + "answer_raw": "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/64/scene0412_00/5119.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0412_00/5119.json new file mode 100644 index 0000000000000000000000000000000000000000..b136caf5f0971552fcb64a139eb5e7de332ddc5f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0412_00/5119.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": "scene0412_00", + "dataset": "scannet", + "question_id": 5119, + "question_type": "route_planning", + "question": "You are a robot beginning at the orange traffic cone and facing the sink. You want to navigate to the elevator. 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 metal rack 3. [please fill in] 4. Go forward until the cardboard boxes 5. [please fill in] 6. Go forward until the trash bin 7. [please fill in] 8. Go forward until the elevator. You have reached the final destination.", + "options": [ + "A. Turn Right, Turn Right, Turn Right, Turn Right", + "B. Turn Right, Turn Right, Turn Left, Turn Right", + "C. Turn Back, Turn Left, Turn Left, Turn Right", + "D. Turn Left, Turn Left, 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/64/scene0412_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0412_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..9a88ae337585b9ff44e2be98b8a669a51f9ab46e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0412_00/_aggregate.json @@ -0,0 +1,11 @@ +{ + "scene_id": "scene0412_00", + "aggregate": { + "overall": 17.77777777777778, + "object_counting_MRA:.5:.95:.05": 33.33333333333333, + "room_size_estimation_MRA:.5:.95:.05": 20.0, + "route_planning_accuracy": 0.0, + "tabulated_keys": "overall, object_counting_MRA:.5:.95:.05, room_size_estimation_MRA:.5:.95:.05, route_planning_accuracy", + "tabulated_results": "17.778, 33.333, 20.000, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/2982.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/2982.json new file mode 100644 index 0000000000000000000000000000000000000000..3387f2a005c5b9738558c5e19515e8b2d6360f74 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/2982.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": "scene0426_00", + "dataset": "scannet", + "question_id": 2982, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, backpack, chair, bed) is the closest to the door?", + "options": [ + "A. table", + "B. backpack", + "C. chair", + "D. bed" + ], + "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/64/scene0426_00/2983.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/2983.json new file mode 100644 index 0000000000000000000000000000000000000000..dc13606a3b58518a47f8d186280f7cfadc35ca12 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/2983.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": "scene0426_00", + "dataset": "scannet", + "question_id": 2983, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (window, chair, table, lamp) is the closest to the tv?", + "options": [ + "A. window", + "B. chair", + "C. table", + "D. lamp" + ], + "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/scene0426_00/2984.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/2984.json new file mode 100644 index 0000000000000000000000000000000000000000..badfecde024781ce414614aeb31f376fb395d2b2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/2984.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": "scene0426_00", + "dataset": "scannet", + "question_id": 2984, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (backpack, lamp, monitor, door) is the closest to the window?", + "options": [ + "A. backpack", + "B. lamp", + "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/64/scene0426_00/2985.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/2985.json new file mode 100644 index 0000000000000000000000000000000000000000..c6c78b60ada6e29c6f86d9cac434b0b7f31e21f4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/2985.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": "scene0426_00", + "dataset": "scannet", + "question_id": 2985, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (chair, lamp, tv, door) is the closest to the window?", + "options": [ + "A. chair", + "B. lamp", + "C. tv", + "D. door" + ], + "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/64/scene0426_00/2986.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/2986.json new file mode 100644 index 0000000000000000000000000000000000000000..0feb1694d744369b1f8e5fd0d8f9638ced422c5b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/2986.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": "scene0426_00", + "dataset": "scannet", + "question_id": 2986, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (bed, table, lamp, door) is the closest to the tv?", + "options": [ + "A. bed", + "B. table", + "C. lamp", + "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/64/scene0426_00/2987.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/2987.json new file mode 100644 index 0000000000000000000000000000000000000000..c90813be2d4593afb8713d44dd54cd55dd8ebd4b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/2987.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": "scene0426_00", + "dataset": "scannet", + "question_id": 2987, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (window, table, bed, lamp) is the closest to the tv?", + "options": [ + "A. window", + "B. table", + "C. bed", + "D. lamp" + ], + "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/scene0426_00/3258.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3258.json new file mode 100644 index 0000000000000000000000000000000000000000..89f960b0faedaa3e6a768117686f9d8da2d99f7a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3258.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3258, + "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": "200", + "answer_given": "93.0", + "answer_raw": "93.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3259.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3259.json new file mode 100644 index 0000000000000000000000000000000000000000..4f50ae11c0016a6e52b88fde5f8fe880912501d6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3259.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3259, + "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": "116", + "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/64/scene0426_00/3260.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3260.json new file mode 100644 index 0000000000000000000000000000000000000000..53c0744d2072c8ded78c8a5ebfa48e519f6c38ae --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3260.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3260, + "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": "179", + "answer_given": "80.0", + "answer_raw": "80.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3261.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3261.json new file mode 100644 index 0000000000000000000000000000000000000000..316fbcc3ae4229ada52e993dfeb424e9fffe07cb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3261.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3261, + "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": "85.0", + "answer_raw": "85.0", + "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/scene0426_00/3262.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3262.json new file mode 100644 index 0000000000000000000000000000000000000000..5fbf5f9f3de2a0877383a91291490fce7b7fc17c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3262.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3262, + "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": "51", + "answer_given": "56.0", + "answer_raw": "56.0", + "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/scene0426_00/3263.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3263.json new file mode 100644 index 0000000000000000000000000000000000000000..aee29a16be0b7d30f4f09465ca2f22b02c8f9f09 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3263.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3263, + "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": "182", + "answer_given": "134.0", + "answer_raw": "134.0", + "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/scene0426_00/3264.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3264.json new file mode 100644 index 0000000000000000000000000000000000000000..fb5b3339213559e0ba533f1bf44e8541708f2aff --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3264.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3264, + "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": "148", + "answer_given": "114.0", + "answer_raw": "114.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3713.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3713.json new file mode 100644 index 0000000000000000000000000000000000000000..1476169a5716c98406e86aad56909d7755f873d9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3713.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3713, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the lamp and facing the tv, is the table 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/scene0426_00/3714.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3714.json new file mode 100644 index 0000000000000000000000000000000000000000..ba42aa05c245c2176e5c59e0ed5c4cf38f5a757f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3714.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3714, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the lamp and facing the table, is the tv to the left or the right of the table?", + "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/64/scene0426_00/3715.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3715.json new file mode 100644 index 0000000000000000000000000000000000000000..cd6a172682ddf47b176c4f2a90171871c5767acd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3715.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3715, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the tv and facing the lamp, is the table to the left or the right of the lamp?", + "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/scene0426_00/3774.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3774.json new file mode 100644 index 0000000000000000000000000000000000000000..89957d84f30272271be17516e20bd74cee7b7e5d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3774.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3774, + "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": "12.8", + "answer_given": "11.9", + "answer_raw": "11.9", + "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/scene0426_00/3885.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3885.json new file mode 100644 index 0000000000000000000000000000000000000000..33532e36ca986cc5991ffc9c5aab788f8728fe10 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3885.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3885, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: window, chair, pillow, tv?", + "options": [ + "A. chair, tv, window, pillow", + "B. window, chair, pillow, tv", + "C. tv, window, chair, pillow", + "D. pillow, chair, tv, window" + ], + "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/scene0426_00/3886.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3886.json new file mode 100644 index 0000000000000000000000000000000000000000..a6a7bc0dc35dbce086847110eae80b244c6aca3c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3886.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3886, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: door, lamp, pillow, window?", + "options": [ + "A. pillow, door, lamp, window", + "B. window, door, lamp, pillow", + "C. window, door, pillow, lamp", + "D. door, lamp, pillow, 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/64/scene0426_00/3887.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3887.json new file mode 100644 index 0000000000000000000000000000000000000000..8f7b09e6cf260afaafcb11c003933fd27fdbef3e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3887.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3887, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: tv, window, chair, monitor?", + "options": [ + "A. window, tv, chair, monitor", + "B. monitor, chair, tv, window", + "C. tv, window, chair, monitor", + "D. window, chair, tv, 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/scene0426_00/3888.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3888.json new file mode 100644 index 0000000000000000000000000000000000000000..d77785a26295affdb02b4e28ee8ea35b782c73ba --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3888.json @@ -0,0 +1,38 @@ +{ + "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": "scene0426_00", + "dataset": "scannet", + "question_id": 3888, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, tv, lamp, chair?", + "options": [ + "A. table, tv, lamp, chair", + "B. tv, table, lamp, chair", + "C. table, chair, tv, lamp", + "D. lamp, tv, chair, table" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "table": 4, + "tv": 5, + "lamp": 13, + "chair": 9 + }, + "true_order_per_spatial_code": "table, tv, chair, lamp", + "ground_truth_option_text": "table, chair, tv, lamp", + "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/64/scene0426_00/3889.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3889.json new file mode 100644 index 0000000000000000000000000000000000000000..738409595527f26a00af820d87f373c3d061791c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3889.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3889, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: monitor, window, lamp, door?", + "options": [ + "A. monitor, window, lamp, door", + "B. monitor, door, lamp, window", + "C. door, lamp, window, monitor", + "D. lamp, window, monitor, 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/64/scene0426_00/3890.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3890.json new file mode 100644 index 0000000000000000000000000000000000000000..5049250eccc16b4e43fa4232283981ca91b9a6e9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3890.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3890, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: lamp, chair, tv, monitor?", + "options": [ + "A. monitor, chair, tv, lamp", + "B. monitor, lamp, tv, chair", + "C. lamp, chair, tv, monitor", + "D. tv, chair, lamp, monitor" + ], + "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/scene0426_00/3891.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3891.json new file mode 100644 index 0000000000000000000000000000000000000000..86ad31123d213a28ff58493126c1f223b9ad738b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3891.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3891, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: tv, window, lamp, bed?", + "options": [ + "A. window, tv, bed, lamp", + "B. tv, window, lamp, bed", + "C. bed, tv, lamp, window", + "D. bed, lamp, tv, 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/64/scene0426_00/3892.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3892.json new file mode 100644 index 0000000000000000000000000000000000000000..da2c679890dfda353565d9ed8dad460a8bbe533c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3892.json @@ -0,0 +1,38 @@ +{ + "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": "scene0426_00", + "dataset": "scannet", + "question_id": 3892, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: chair, lamp, pillow, tv?", + "options": [ + "A. lamp, tv, chair, pillow", + "B. chair, lamp, pillow, tv", + "C. pillow, tv, lamp, chair", + "D. pillow, chair, tv, lamp" + ], + "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": { + "chair": 9, + "lamp": 13, + "pillow": 7, + "tv": 5 + }, + "true_order_per_spatial_code": "tv, pillow, chair, lamp", + "ground_truth_option_text": "pillow, chair, tv, lamp", + "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/64/scene0426_00/3893.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3893.json new file mode 100644 index 0000000000000000000000000000000000000000..1cbda9fb287f662b58db22ad67433cee74f11b6b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3893.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3893, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: lamp, monitor, tv, window?", + "options": [ + "A. monitor, tv, lamp, window", + "B. lamp, monitor, tv, window", + "C. monitor, window, tv, lamp", + "D. window, lamp, monitor, 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/scene0426_00/3894.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3894.json new file mode 100644 index 0000000000000000000000000000000000000000..75c93ad271d40c2f3000b2c5b1ae78206da14511 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3894.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3894, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: window, lamp, pillow, chair?", + "options": [ + "A. window, pillow, lamp, chair", + "B. pillow, chair, window, lamp", + "C. pillow, chair, lamp, window", + "D. window, lamp, pillow, 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/64/scene0426_00/3895.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3895.json new file mode 100644 index 0000000000000000000000000000000000000000..998fc82ae9fc2850d8d80793f221498deec40bda --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3895.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3895, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: bed, lamp, window, chair?", + "options": [ + "A. chair, lamp, bed, window", + "B. bed, lamp, window, chair", + "C. chair, bed, window, lamp", + "D. bed, chair, lamp, window" + ], + "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/scene0426_00/3896.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3896.json new file mode 100644 index 0000000000000000000000000000000000000000..4a458f6d06511b2f05c8ec2883f523f9c3d540cd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3896.json @@ -0,0 +1,38 @@ +{ + "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": "scene0426_00", + "dataset": "scannet", + "question_id": 3896, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: bed, tv, lamp, chair?", + "options": [ + "A. bed, tv, lamp, chair", + "B. bed, chair, tv, lamp", + "C. bed, tv, chair, lamp", + "D. tv, bed, chair, lamp" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "bed": 6, + "tv": 5, + "lamp": 13, + "chair": 9 + }, + "true_order_per_spatial_code": "tv, bed, chair, lamp", + "ground_truth_option_text": "bed, chair, tv, lamp", + "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/64/scene0426_00/3897.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3897.json new file mode 100644 index 0000000000000000000000000000000000000000..f69129b4ccbcc92b7f4654f0d385faba653f1168 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3897.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3897, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: lamp, window, chair, tv?", + "options": [ + "A. lamp, window, tv, chair", + "B. lamp, window, chair, tv", + "C. lamp, chair, tv, window", + "D. chair, tv, lamp, window" + ], + "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/scene0426_00/3898.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3898.json new file mode 100644 index 0000000000000000000000000000000000000000..1fef4e5f1d453bbfc09db80b3e8ea31fce96961b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3898.json @@ -0,0 +1,38 @@ +{ + "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": "scene0426_00", + "dataset": "scannet", + "question_id": 3898, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: tv, chair, table, window?", + "options": [ + "A. tv, table, chair, window", + "B. window, chair, tv, table", + "C. table, chair, tv, window", + "D. tv, chair, table, window" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "tv": 5, + "chair": 9, + "table": 4, + "window": 15 + }, + "true_order_per_spatial_code": "table, tv, chair, window", + "ground_truth_option_text": "table, chair, tv, window", + "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/64/scene0426_00/3899.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3899.json new file mode 100644 index 0000000000000000000000000000000000000000..6dde393d7f3d36d193868f7562cbbfebb0936c0d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3899.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3899, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: bed, chair, window, tv?", + "options": [ + "A. chair, window, bed, tv", + "B. bed, chair, tv, window", + "C. chair, tv, window, bed", + "D. bed, chair, window, tv" + ], + "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/scene0426_00/3900.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3900.json new file mode 100644 index 0000000000000000000000000000000000000000..bf75cdc996e130d873cfeac77c8a46e358871c89 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3900.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3900, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: window, chair, lamp, table?", + "options": [ + "A. table, chair, lamp, window", + "B. lamp, table, window, chair", + "C. window, chair, lamp, table", + "D. chair, window, table, lamp" + ], + "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/scene0426_00/3901.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3901.json new file mode 100644 index 0000000000000000000000000000000000000000..141a825d888d73754ab179ed48d7d140272c17d9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3901.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3901, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: door, lamp, bed, window?", + "options": [ + "A. lamp, door, window, bed", + "B. door, lamp, bed, window", + "C. window, lamp, bed, door", + "D. bed, door, lamp, window" + ], + "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/scene0426_00/3902.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3902.json new file mode 100644 index 0000000000000000000000000000000000000000..d2db68a7e396026c4de16021d044bc51f0e7b49c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3902.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3902, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: pillow, lamp, tv, window?", + "options": [ + "A. window, pillow, lamp, tv", + "B. pillow, tv, lamp, window", + "C. lamp, pillow, window, tv", + "D. pillow, lamp, tv, window" + ], + "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/scene0426_00/3903.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3903.json new file mode 100644 index 0000000000000000000000000000000000000000..2d6d51f0a298afbec68b2708ae9b1718228b3e87 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3903.json @@ -0,0 +1,38 @@ +{ + "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": "scene0426_00", + "dataset": "scannet", + "question_id": 3903, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: window, door, backpack, lamp?", + "options": [ + "A. door, lamp, backpack, window", + "B. window, door, backpack, lamp", + "C. backpack, door, lamp, window", + "D. window, door, lamp, backpack" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "window": 15, + "door": 10, + "backpack": 11, + "lamp": 13 + }, + "true_order_per_spatial_code": "door, backpack, lamp, window", + "ground_truth_option_text": "backpack, door, lamp, window", + "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/64/scene0426_00/3904.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3904.json new file mode 100644 index 0000000000000000000000000000000000000000..78eb9e379862dc27d5c0817b787f6fafb13643bd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3904.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3904, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: window, table, tv, lamp?", + "options": [ + "A. table, tv, lamp, window", + "B. window, table, tv, lamp", + "C. tv, lamp, table, window", + "D. table, tv, window, lamp" + ], + "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/scene0426_00/3905.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3905.json new file mode 100644 index 0000000000000000000000000000000000000000..9fbb3817c68fe2cf13352dea7dfb59b44490daad --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3905.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3905, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: window, tv, lamp, backpack?", + "options": [ + "A. backpack, tv, lamp, window", + "B. window, tv, lamp, backpack", + "C. backpack, lamp, window, tv", + "D. window, backpack, tv, lamp" + ], + "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/scene0426_00/3906.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3906.json new file mode 100644 index 0000000000000000000000000000000000000000..0b5c3c91c361fb6d284b433dffab4bcb6a6c4fa8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3906.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3906, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: door, lamp, table, window?", + "options": [ + "A. lamp, table, window, door", + "B. door, lamp, table, window", + "C. window, door, table, lamp", + "D. table, door, lamp, window" + ], + "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/scene0426_00/3907.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3907.json new file mode 100644 index 0000000000000000000000000000000000000000..d0dd42edabf5d8c093ad4e07ed52ed244fd83879 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/3907.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": "scene0426_00", + "dataset": "scannet", + "question_id": 3907, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: chair, monitor, lamp, window?", + "options": [ + "A. chair, monitor, lamp, window", + "B. monitor, chair, lamp, window", + "C. chair, lamp, window, monitor", + "D. lamp, monitor, chair, window" + ], + "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/scene0426_00/4266.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4266.json new file mode 100644 index 0000000000000000000000000000000000000000..1254fb23ae7b4d41eb39ac7445e94cbe66271114 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4266.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": "scene0426_00", + "dataset": "scannet", + "question_id": 4266, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the window 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. back", + "B. left", + "C. 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/scene0426_00/4267.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4267.json new file mode 100644 index 0000000000000000000000000000000000000000..2f7648c7db49b95cd147bc3941bb44b8315842ed --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4267.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": "scene0426_00", + "dataset": "scannet", + "question_id": 4267, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the window 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. 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/64/scene0426_00/4268.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4268.json new file mode 100644 index 0000000000000000000000000000000000000000..002ad95d7eeb61d76de42dd40f80daf4dc818d80 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4268.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": "scene0426_00", + "dataset": "scannet", + "question_id": 4268, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the door and facing the window, 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. 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/64/scene0426_00/4410.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4410.json new file mode 100644 index 0000000000000000000000000000000000000000..ec365ffcea199b933f6b007db7c61a3c157317d3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4410.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": "scene0426_00", + "dataset": "scannet", + "question_id": 4410, + "question_type": "object_counting", + "question": "How many chair(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/scene0426_00/4411.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4411.json new file mode 100644 index 0000000000000000000000000000000000000000..9d2ff720e3456c79a5309f83de61c12adcf7edc4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4411.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": "scene0426_00", + "dataset": "scannet", + "question_id": 4411, + "question_type": "object_counting", + "question": "How many pillow(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "3", + "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/scene0426_00/4412.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4412.json new file mode 100644 index 0000000000000000000000000000000000000000..ee9456a408739617e1699c1eed8e9d9e7801861a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4412.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": "scene0426_00", + "dataset": "scannet", + "question_id": 4412, + "question_type": "object_counting", + "question": "How many monitor(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "4", + "answer_given": "2", + "answer_raw": "2", + "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/scene0426_00/4668.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4668.json new file mode 100644 index 0000000000000000000000000000000000000000..5e292811f57b0d6150458731aece202502ff14bb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4668.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": "scene0426_00", + "dataset": "scannet", + "question_id": 4668, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the tv and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.7", + "answer_given": "3.39", + "answer_raw": "3.39", + "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/scene0426_00/4669.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4669.json new file mode 100644 index 0000000000000000000000000000000000000000..ba59fec6e638639f9a251a67b686f6155ac16ba2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4669.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": "scene0426_00", + "dataset": "scannet", + "question_id": 4669, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the backpack (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.7", + "answer_given": "0.38", + "answer_raw": "0.38", + "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/scene0426_00/4670.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4670.json new file mode 100644 index 0000000000000000000000000000000000000000..d089ca92bc7835b688f15e8b9db65766dec305ae --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4670.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": "scene0426_00", + "dataset": "scannet", + "question_id": 4670, + "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": "2.4", + "answer_given": "2.21", + "answer_raw": "2.21", + "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/scene0426_00/4671.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4671.json new file mode 100644 index 0000000000000000000000000000000000000000..6ae8d41185964c979db0a583f1bfe4be2f96d09c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4671.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": "scene0426_00", + "dataset": "scannet", + "question_id": 4671, + "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": "3.8", + "answer_given": "1.75", + "answer_raw": "1.75", + "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/scene0426_00/4672.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4672.json new file mode 100644 index 0000000000000000000000000000000000000000..5ae6c1d96bfd1c2e7dbe71f4623c5d230dd337ad --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4672.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": "scene0426_00", + "dataset": "scannet", + "question_id": 4672, + "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": "2.4", + "answer_given": "2.21", + "answer_raw": "2.21", + "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/scene0426_00/4673.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4673.json new file mode 100644 index 0000000000000000000000000000000000000000..11d2690c5d18fab2186114055fcd47945bd721b1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4673.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": "scene0426_00", + "dataset": "scannet", + "question_id": 4673, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the backpack and the bed (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.4", + "answer_given": "0.63", + "answer_raw": "0.63", + "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/scene0426_00/4674.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4674.json new file mode 100644 index 0000000000000000000000000000000000000000..2d80f383a8f259c18e62095b4fe920b146f23417 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/4674.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": "scene0426_00", + "dataset": "scannet", + "question_id": 4674, + "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": "1.9", + "answer_given": "1.92", + "answer_raw": "1.92", + "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/scene0426_00/5061.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/5061.json new file mode 100644 index 0000000000000000000000000000000000000000..782e2008f7f0cfacefa6feae741dc6c905b1a220 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/5061.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": "scene0426_00", + "dataset": "scannet", + "question_id": 5061, + "question_type": "route_planning", + "question": "You are a robot beginning at the foot of the bed and facing the table. You want to navigate to the monitor in the dresser. 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 chair by the door 3. [please fill in] 4. Go forward until the chair by the wardrobe. You have reached the final destination.", + "options": [ + "A. Turn Back, Turn Left", + "B. Turn Right, Turn Right", + "C. Turn Back, Turn Right", + "D. Turn Left, 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/64/scene0426_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..a29b48e17d7bee8cc2cf6dc6f1bf2be9ef00374a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0426_00/_aggregate.json @@ -0,0 +1,16 @@ +{ + "scene_id": "scene0426_00", + "aggregate": { + "overall": 52.4611801242236, + "object_counting_MRA:.5:.95:.05": 16.666666666666664, + "object_abs_distance_MRA:.5:.95:.05": 52.85714285714286, + "object_size_estimation_MRA:.5:.95:.05": 48.57142857142857, + "room_size_estimation_MRA:.5:.95:.05": 90.0, + "object_rel_distance_accuracy": 66.66666666666666, + "object_rel_direction_accuracy": 66.66666666666666, + "route_planning_accuracy": 0.0, + "obj_appearance_order_accuracy": 78.26086956521739, + "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": "52.461, 16.667, 52.857, 48.571, 90.000, 66.667, 66.667, 0.000, 78.261" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3091.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3091.json new file mode 100644 index 0000000000000000000000000000000000000000..46785e1320c9fd29ce7c359712c1ddd57cf551d0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3091.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3091, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (refrigerator, chair, tv, lamp) is the closest to the door?", + "options": [ + "A. refrigerator", + "B. chair", + "C. tv", + "D. lamp" + ], + "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/scene0435_02/3092.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3092.json new file mode 100644 index 0000000000000000000000000000000000000000..90832e72c01aba4c1992c47208b63876817396b2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3092.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3092, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (bed, trash bin, pillow, door) is the closest to the tv?", + "options": [ + "A. bed", + "B. trash bin", + "C. pillow", + "D. 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/64/scene0435_02/3093.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3093.json new file mode 100644 index 0000000000000000000000000000000000000000..6d3d780055aed5950a81b4be7a5339a3b554d0ab --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3093.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3093, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (tv, chair, trash bin, lamp) is the closest to the nightstand?", + "options": [ + "A. tv", + "B. chair", + "C. trash bin", + "D. lamp" + ], + "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/scene0435_02/3094.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3094.json new file mode 100644 index 0000000000000000000000000000000000000000..d8493082aecb9a9af422402dd25c274a13e2053d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3094.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3094, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (trash bin, lamp, backpack, door) is the closest to the tv?", + "options": [ + "A. trash bin", + "B. lamp", + "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/64/scene0435_02/3095.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3095.json new file mode 100644 index 0000000000000000000000000000000000000000..797700d926cc49e6621b30aa5ea723ee20c40116 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3095.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3095, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (chair, pillow, tv, lamp) is the closest to the door?", + "options": [ + "A. chair", + "B. pillow", + "C. tv", + "D. lamp" + ], + "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/64/scene0435_02/3096.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3096.json new file mode 100644 index 0000000000000000000000000000000000000000..6aba5e8efdb1f79ac4ecc89e702c487cfb874951 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3096.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3096, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (pillow, door, refrigerator, lamp) is the closest to the tv?", + "options": [ + "A. pillow", + "B. door", + "C. refrigerator", + "D. lamp" + ], + "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/64/scene0435_02/3097.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3097.json new file mode 100644 index 0000000000000000000000000000000000000000..2c44f0639df5e32fcd1664e9245f3b05ec04a505 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3097.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3097, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (bed, chair, backpack, pillow) is the closest to the door?", + "options": [ + "A. bed", + "B. chair", + "C. backpack", + "D. pillow" + ], + "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/64/scene0435_02/3098.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3098.json new file mode 100644 index 0000000000000000000000000000000000000000..2246ad12630dfe30dbed1bce402e07fc6deaf427 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3098.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3098, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (pillow, refrigerator, lamp, bed) is the closest to the table?", + "options": [ + "A. pillow", + "B. refrigerator", + "C. lamp", + "D. bed" + ], + "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/64/scene0435_02/3099.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3099.json new file mode 100644 index 0000000000000000000000000000000000000000..dfcf7ded52a751d155f13ad2b8796335580fe41f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3099.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3099, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (backpack, pillow, bed, lamp) is the closest to the table?", + "options": [ + "A. backpack", + "B. pillow", + "C. bed", + "D. lamp" + ], + "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/64/scene0435_02/3100.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3100.json new file mode 100644 index 0000000000000000000000000000000000000000..732cc4d5722f82d1025f1a5cbfe1c29905cfdff0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3100.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3100, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (refrigerator, pillow, trash bin, lamp) is the closest to the backpack?", + "options": [ + "A. refrigerator", + "B. pillow", + "C. trash bin", + "D. lamp" + ], + "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/scene0435_02/3370.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3370.json new file mode 100644 index 0000000000000000000000000000000000000000..1cfc230f1222c581c290f463099c4ed9458a1115 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3370.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3370, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the refrigerator, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "84", + "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/scene0435_02/3371.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3371.json new file mode 100644 index 0000000000000000000000000000000000000000..4361c7b87cc8c3af055f1d4adac124b2a60b5814 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3371.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3371, + "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": "78", + "answer_given": "72.0", + "answer_raw": "72.0", + "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/scene0435_02/3372.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3372.json new file mode 100644 index 0000000000000000000000000000000000000000..e0e7e2e5c00c5ccea8c07e7dc01aae912fe91ffe --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3372.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3372, + "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": "86", + "answer_given": "72.0", + "answer_raw": "72.0", + "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/scene0435_02/3373.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3373.json new file mode 100644 index 0000000000000000000000000000000000000000..3f3c0e42ccc9bb10ee2b726eab280496cacec324 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3373.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3373, + "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": "51", + "answer_given": "36.0", + "answer_raw": "36.0", + "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/scene0435_02/3374.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3374.json new file mode 100644 index 0000000000000000000000000000000000000000..38d1293ef26c9823b6b821d2aa7fb17f2b920cf7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3374.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3374, + "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": "133", + "answer_given": "70.0", + "answer_raw": "70.0", + "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/scene0435_02/3375.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3375.json new file mode 100644 index 0000000000000000000000000000000000000000..b693b80fe825a2adf9671c204eda8638d8cf855f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3375.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3375, + "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": "31", + "answer_given": "34.0", + "answer_raw": "34.0", + "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/scene0435_02/3376.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3376.json new file mode 100644 index 0000000000000000000000000000000000000000..0c10c7e21b0244a9b3dadca99e1a9d7f94cbc05d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3376.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3376, + "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": "146", + "answer_given": "119.0", + "answer_raw": "119.0", + "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/scene0435_02/3629.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3629.json new file mode 100644 index 0000000000000000000000000000000000000000..e0544ca0d168fd44682753531854fb0058bfb558 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3629.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3629, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the backpack and facing the refrigerator, 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-right", + "B. back-left", + "C. front-right", + "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/scene0435_02/3802.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3802.json new file mode 100644 index 0000000000000000000000000000000000000000..12b97fa41345c505f622100032caba037ff51343 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/3802.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": "scene0435_02", + "dataset": "scannet", + "question_id": 3802, + "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": "22.2", + "answer_given": "19.4", + "answer_raw": "19.4", + "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/scene0435_02/4309.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4309.json new file mode 100644 index 0000000000000000000000000000000000000000..f263e8a76e7d422fcc1c765d024b67e33c9088d6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4309.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": "scene0435_02", + "dataset": "scannet", + "question_id": 4309, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the tv and facing the nightstand, is the backpack 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": "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/scene0435_02/4310.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4310.json new file mode 100644 index 0000000000000000000000000000000000000000..eeba9d2c47b435b5791045557d126dc037a4208c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4310.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": "scene0435_02", + "dataset": "scannet", + "question_id": 4310, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the tv and facing the backpack, is the nightstand 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": "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/scene0435_02/4311.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4311.json new file mode 100644 index 0000000000000000000000000000000000000000..77b0600e6c3747d1ec570227f1d366bbf2ab43e1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4311.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": "scene0435_02", + "dataset": "scannet", + "question_id": 4311, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the nightstand and facing the tv, is the backpack 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": "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/scene0435_02/4488.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4488.json new file mode 100644 index 0000000000000000000000000000000000000000..8905f05064fa127a82375024c0fe190d5c7847fa --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4488.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": "scene0435_02", + "dataset": "scannet", + "question_id": 4488, + "question_type": "object_counting", + "question": "How many bed(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/scene0435_02/4489.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4489.json new file mode 100644 index 0000000000000000000000000000000000000000..e449423275f4758cb8ec704ebc77f15bdaed1566 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4489.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": "scene0435_02", + "dataset": "scannet", + "question_id": 4489, + "question_type": "object_counting", + "question": "How many chair(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/scene0435_02/4490.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4490.json new file mode 100644 index 0000000000000000000000000000000000000000..a9b71967d6cdee151e41fc02e94e39cdf69ed105 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4490.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": "scene0435_02", + "dataset": "scannet", + "question_id": 4490, + "question_type": "object_counting", + "question": "How many pillow(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "8", + "answer_given": "8", + "answer_raw": "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/scene0435_02/4491.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4491.json new file mode 100644 index 0000000000000000000000000000000000000000..93c66c430c4052418de7f6a5744435584e3329cc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4491.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": "scene0435_02", + "dataset": "scannet", + "question_id": 4491, + "question_type": "object_counting", + "question": "How many lamp(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/scene0435_02/4774.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4774.json new file mode 100644 index 0000000000000000000000000000000000000000..9802daadcb29917cb5f415a1b862e8392b680f63 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4774.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": "scene0435_02", + "dataset": "scannet", + "question_id": 4774, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the backpack (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.3", + "answer_given": "2.36", + "answer_raw": "2.36", + "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/scene0435_02/4775.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4775.json new file mode 100644 index 0000000000000000000000000000000000000000..c9be22044b10055334ab2d00c38946a7867382f3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4775.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": "scene0435_02", + "dataset": "scannet", + "question_id": 4775, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the trash bin and the door (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "3.0", + "answer_given": "3.23", + "answer_raw": "3.23", + "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/scene0435_02/4776.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4776.json new file mode 100644 index 0000000000000000000000000000000000000000..cc8d8a8afceae0915231142c4c22eaed413865fe --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4776.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": "scene0435_02", + "dataset": "scannet", + "question_id": 4776, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the trash bin and the nightstand (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.6", + "answer_given": "2.38", + "answer_raw": "2.38", + "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/scene0435_02/4777.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4777.json new file mode 100644 index 0000000000000000000000000000000000000000..5595a59245ad65fcd43635cb36b6de07cbdc9568 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4777.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": "scene0435_02", + "dataset": "scannet", + "question_id": 4777, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the trash bin and the backpack (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.7", + "answer_given": "2.62", + "answer_raw": "2.62", + "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/scene0435_02/4778.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4778.json new file mode 100644 index 0000000000000000000000000000000000000000..15d8b55efed1f1e2563538e1992b73c970d51d3e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4778.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": "scene0435_02", + "dataset": "scannet", + "question_id": 4778, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the backpack and the refrigerator (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.2", + "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/64/scene0435_02/4779.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4779.json new file mode 100644 index 0000000000000000000000000000000000000000..a6edc8750cd201e68451f0f8ea8071955b88b260 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4779.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": "scene0435_02", + "dataset": "scannet", + "question_id": 4779, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the door and the backpack (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "4.6", + "answer_given": "5.43", + "answer_raw": "5.43", + "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/scene0435_02/4780.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4780.json new file mode 100644 index 0000000000000000000000000000000000000000..1fb2977610697505c7dfa13007fe0ba5b2262c78 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/4780.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": "scene0435_02", + "dataset": "scannet", + "question_id": 4780, + "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": "2.7", + "answer_given": "3.1", + "answer_raw": "3.1", + "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/scene0435_02/5102.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/5102.json new file mode 100644 index 0000000000000000000000000000000000000000..8a9392a39bc8a3e2ba2730301b2e12406474f833 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/5102.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": "scene0435_02", + "dataset": "scannet", + "question_id": 5102, + "question_type": "route_planning", + "question": "You are a robot beginning at the standing by the window and facing the window. You want to navigate to the white shoes. 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 passing the bed 3. [please fill in] 4. Go forward until the white shoes. You have reached the final destination.", + "options": [ + "A. Turn Right, Turn Left", + "B. Turn Left, Turn Left", + "C. Turn Left, Turn Right", + "D. 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/64/scene0435_02/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..8538b08e2dda05710d908bb9119bcee1c1469be2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0435_02/_aggregate.json @@ -0,0 +1,15 @@ +{ + "scene_id": "scene0435_02", + "aggregate": { + "overall": 52.976190476190474, + "object_counting_MRA:.5:.95:.05": 77.5, + "object_abs_distance_MRA:.5:.95:.05": 75.71428571428571, + "object_size_estimation_MRA:.5:.95:.05": 54.285714285714285, + "room_size_estimation_MRA:.5:.95:.05": 80.0, + "object_rel_distance_accuracy": 50.0, + "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": "52.976, 77.500, 75.714, 54.286, 80.000, 50.000, 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/scene0575_01/3110.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3110.json new file mode 100644 index 0000000000000000000000000000000000000000..7e9bef13856399fa332f8112a82a127e80e9ffa1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3110.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": "scene0575_01", + "dataset": "scannet", + "question_id": 3110, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (tv, trash bin, table, chair) is the closest to the window?", + "options": [ + "A. tv", + "B. trash bin", + "C. table", + "D. chair" + ], + "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/scene0575_01/3111.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3111.json new file mode 100644 index 0000000000000000000000000000000000000000..31160660331374dc23668afc360bc30048a2ad7c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3111.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": "scene0575_01", + "dataset": "scannet", + "question_id": 3111, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, tv, window, chair) is the closest to the trash bin?", + "options": [ + "A. table", + "B. tv", + "C. window", + "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/64/scene0575_01/3112.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3112.json new file mode 100644 index 0000000000000000000000000000000000000000..d85982251f040228bcac85873343f8d3f40105a1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3112.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": "scene0575_01", + "dataset": "scannet", + "question_id": 3112, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (chair, window, tv, door) is the closest to the trash bin?", + "options": [ + "A. chair", + "B. window", + "C. tv", + "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/64/scene0575_01/3420.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3420.json new file mode 100644 index 0000000000000000000000000000000000000000..20b7a6abec96ba0e2f0d189ef6ded12373f17a9c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3420.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": "scene0575_01", + "dataset": "scannet", + "question_id": 3420, + "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": "246", + "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/scene0575_01/3421.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3421.json new file mode 100644 index 0000000000000000000000000000000000000000..62ba4a2a278a8805a60b3437986d20487f0aac41 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3421.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": "scene0575_01", + "dataset": "scannet", + "question_id": 3421, + "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": "213", + "answer_given": "164.0", + "answer_raw": "164.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3422.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3422.json new file mode 100644 index 0000000000000000000000000000000000000000..565703193e0c6bd7bc675039e1b81b73f517b364 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3422.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": "scene0575_01", + "dataset": "scannet", + "question_id": 3422, + "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": "51", + "answer_given": "40.0", + "answer_raw": "40.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3423.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3423.json new file mode 100644 index 0000000000000000000000000000000000000000..4cbb692ae3a53cc8526f449f4a85059a87e07224 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3423.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": "scene0575_01", + "dataset": "scannet", + "question_id": 3423, + "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": "265", + "answer_given": "116.0", + "answer_raw": "116.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3642.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3642.json new file mode 100644 index 0000000000000000000000000000000000000000..a13d0e4334292ca2346550af1846036b2020a502 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3642.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": "scene0575_01", + "dataset": "scannet", + "question_id": 3642, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the door and facing the trash bin, 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": "D", + "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/64/scene0575_01/3643.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3643.json new file mode 100644 index 0000000000000000000000000000000000000000..9bd612fc905a4d09992c7b68cf16d05e3c5b4672 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3643.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": "scene0575_01", + "dataset": "scannet", + "question_id": 3643, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the door and facing the table, 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-right", + "B. front-left", + "C. front-right", + "D. back-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/64/scene0575_01/3644.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3644.json new file mode 100644 index 0000000000000000000000000000000000000000..4c5ffb4aa125619f0e6ced178f6d470a348076c6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3644.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": "scene0575_01", + "dataset": "scannet", + "question_id": 3644, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the trash bin and facing the door, 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. back-right", + "C. front-left", + "D. back-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/scene0575_01/3818.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3818.json new file mode 100644 index 0000000000000000000000000000000000000000..761ab014a508e2363db48060b00d942df5a28767 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/3818.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": "scene0575_01", + "dataset": "scannet", + "question_id": 3818, + "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": "21.2", + "answer_given": "11.7", + "answer_raw": "11.7", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4321.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4321.json new file mode 100644 index 0000000000000000000000000000000000000000..698ed9acabe35f8bcc7680bb5e116f329e0befb4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4321.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": "scene0575_01", + "dataset": "scannet", + "question_id": 4321, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the door and facing the trash bin, 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": "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/scene0575_01/4322.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4322.json new file mode 100644 index 0000000000000000000000000000000000000000..59942291ea2de3a72e09866412c72a70e43d2368 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4322.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": "scene0575_01", + "dataset": "scannet", + "question_id": 4322, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the door and facing the table, 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/64/scene0575_01/4323.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4323.json new file mode 100644 index 0000000000000000000000000000000000000000..80fda745be3b486662f1616189c66338b15a8784 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4323.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": "scene0575_01", + "dataset": "scannet", + "question_id": 4323, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the trash bin 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": "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/scene0575_01/4524.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4524.json new file mode 100644 index 0000000000000000000000000000000000000000..3cffb4402dfb2f489111feb29ba23512c22fec07 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4524.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": "scene0575_01", + "dataset": "scannet", + "question_id": 4524, + "question_type": "object_counting", + "question": "How many chair(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "10", + "answer_given": "11", + "answer_raw": "11", + "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/scene0575_01/4525.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4525.json new file mode 100644 index 0000000000000000000000000000000000000000..1f44d7be2841f0e3dc86c71b986b6c59c536c4dc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4525.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": "scene0575_01", + "dataset": "scannet", + "question_id": 4525, + "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/64/scene0575_01/4820.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4820.json new file mode 100644 index 0000000000000000000000000000000000000000..de1848fe26b62408a01a02bbde9dc3a1f642717d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4820.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": "scene0575_01", + "dataset": "scannet", + "question_id": 4820, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the trash bin and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.4", + "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/scene0575_01/4821.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4821.json new file mode 100644 index 0000000000000000000000000000000000000000..9c1591d4352f0265ca48dec873a380a951b99377 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4821.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": "scene0575_01", + "dataset": "scannet", + "question_id": 4821, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the trash bin and the door (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.1", + "answer_given": "1.27", + "answer_raw": "1.27", + "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/scene0575_01/4822.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4822.json new file mode 100644 index 0000000000000000000000000000000000000000..85c3259d255a8601bc605bdd44478a589d6ed776 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4822.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": "scene0575_01", + "dataset": "scannet", + "question_id": 4822, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.1", + "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/scene0575_01/4823.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4823.json new file mode 100644 index 0000000000000000000000000000000000000000..e34a204cd60dbaf65126c1500d294650a42e6a7b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4823.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": "scene0575_01", + "dataset": "scannet", + "question_id": 4823, + "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": "1.43", + "answer_raw": "1.43", + "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/scene0575_01/4824.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4824.json new file mode 100644 index 0000000000000000000000000000000000000000..a5dde69a1568e274804cce653339d6d3a59fd24a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/4824.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": "scene0575_01", + "dataset": "scannet", + "question_id": 4824, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the trash bin (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/64/scene0575_01/5097.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/5097.json new file mode 100644 index 0000000000000000000000000000000000000000..b8ae9fa041945981e4db29acb6ea573d5cb3c274 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/5097.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": "scene0575_01", + "dataset": "scannet", + "question_id": 5097, + "question_type": "route_planning", + "question": "You are a robot beginning at the corner of the white wall and the brown wall, facing the glass door. You want to navigate to the green chair closest to the TVs. 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 glass door 2. [please fill in] 3. Go forward until the green chair. You have reached the final destination.", + "options": [ + "A. Turn Left", + "B. Turn Right", + "C. Turn Back" + ], + "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/scene0575_01/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..e8b115e58fc0d726e8b990e992f989528538fea3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0575_01/_aggregate.json @@ -0,0 +1,15 @@ +{ + "scene_id": "scene0575_01", + "aggregate": { + "overall": 43.15873015873016, + "object_counting_MRA:.5:.95:.05": 95.0, + "object_abs_distance_MRA:.5:.95:.05": 46.0, + "object_size_estimation_MRA:.5:.95:.05": 30.0, + "room_size_estimation_MRA:.5:.95:.05": 20.0, + "object_rel_distance_accuracy": 66.66666666666666, + "object_rel_direction_accuracy": 44.44444444444444, + "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": "43.159, 95.000, 46.000, 30.000, 20.000, 66.667, 44.444, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3113.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3113.json new file mode 100644 index 0000000000000000000000000000000000000000..d0d4d107ceb2a89a43968118d775f79f4f8b544e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3113.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": "scene0580_01", + "dataset": "scannet", + "question_id": 3113, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (lamp, mirror, backpack, table) is the closest to the bookshelf?", + "options": [ + "A. lamp", + "B. mirror", + "C. backpack", + "D. table" + ], + "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/64/scene0580_01/3114.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3114.json new file mode 100644 index 0000000000000000000000000000000000000000..68eaa0b8d9364f5c206a5a0b846189c67d40b765 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3114.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": "scene0580_01", + "dataset": "scannet", + "question_id": 3114, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (trash bin, pillow, bed, lamp) is the closest to the table?", + "options": [ + "A. trash bin", + "B. pillow", + "C. bed", + "D. lamp" + ], + "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/64/scene0580_01/3424.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3424.json new file mode 100644 index 0000000000000000000000000000000000000000..a119f45ef697036d7f3e996bad3eb5d900b7f7d3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3424.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": "scene0580_01", + "dataset": "scannet", + "question_id": 3424, + "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": "223", + "answer_given": "110.0", + "answer_raw": "110.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3425.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3425.json new file mode 100644 index 0000000000000000000000000000000000000000..3deb9e10abba58a9210360de189ce4d42ca9a593 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3425.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": "scene0580_01", + "dataset": "scannet", + "question_id": 3425, + "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": "93", + "answer_given": "39.0", + "answer_raw": "39.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3426.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3426.json new file mode 100644 index 0000000000000000000000000000000000000000..888167afa7fca8d8ca676b27ce4c5510afa3f1ad --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3426.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": "scene0580_01", + "dataset": "scannet", + "question_id": 3426, + "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": "206", + "answer_given": "88.0", + "answer_raw": "88.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3427.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3427.json new file mode 100644 index 0000000000000000000000000000000000000000..1afb41ffb8d04e7546c137448549d7ad4b764d6a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3427.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": "scene0580_01", + "dataset": "scannet", + "question_id": 3427, + "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": "202", + "answer_given": "135.0", + "answer_raw": "135.0", + "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/scene0580_01/3428.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3428.json new file mode 100644 index 0000000000000000000000000000000000000000..b9ca70a51cd10e21643da8e68e17f895099bf11d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3428.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": "scene0580_01", + "dataset": "scannet", + "question_id": 3428, + "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": "79", + "answer_given": "77.0", + "answer_raw": "77.0", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3429.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3429.json new file mode 100644 index 0000000000000000000000000000000000000000..4b5fdf51f655bbbfb99e95f6fbdca3b70de70528 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3429.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": "scene0580_01", + "dataset": "scannet", + "question_id": 3429, + "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": "69", + "answer_given": "53.0", + "answer_raw": "53.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3430.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3430.json new file mode 100644 index 0000000000000000000000000000000000000000..a048bb7225b520329bac86e5706d678db2936f18 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3430.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": "scene0580_01", + "dataset": "scannet", + "question_id": 3430, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the mirror, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "103", + "answer_given": "82.0", + "answer_raw": "82.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3431.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3431.json new file mode 100644 index 0000000000000000000000000000000000000000..ac08a5a452cfa7b1531eb9bb9dc1706ffe2de517 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3431.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": "scene0580_01", + "dataset": "scannet", + "question_id": 3431, + "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": "31", + "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/64/scene0580_01/3432.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3432.json new file mode 100644 index 0000000000000000000000000000000000000000..a099c316c763a608197629ff8815649abde4c3f4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3432.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": "scene0580_01", + "dataset": "scannet", + "question_id": 3432, + "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": "63", + "answer_given": "113.0", + "answer_raw": "113.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3645.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3645.json new file mode 100644 index 0000000000000000000000000000000000000000..52b63d70293fdc416523e9201ef4f09b9f862fda --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3645.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": "scene0580_01", + "dataset": "scannet", + "question_id": 3645, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the window and facing the lamp, 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-right", + "B. front-left", + "C. back-left", + "D. back-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/64/scene0580_01/3646.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3646.json new file mode 100644 index 0000000000000000000000000000000000000000..6ce50d5f6395e81d32ef15c9f1a5ad630da81454 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3646.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": "scene0580_01", + "dataset": "scannet", + "question_id": 3646, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the lamp and facing the window, 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": "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/scene0580_01/3819.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3819.json new file mode 100644 index 0000000000000000000000000000000000000000..0a575a2558fe4c14ad3b3796021af93393bd6c2c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/3819.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": "scene0580_01", + "dataset": "scannet", + "question_id": 3819, + "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": "9.3", + "answer_given": "10.5", + "answer_raw": "10.5", + "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/scene0580_01/4050.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4050.json new file mode 100644 index 0000000000000000000000000000000000000000..4c97287d191d23b51ee882dd516403b1b08aa110 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4050.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4050, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: window, table, chair, bed?", + "options": [ + "A. bed, chair, table, window", + "B. bed, window, chair, table", + "C. window, bed, chair, table", + "D. window, table, chair, bed" + ], + "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/scene0580_01/4051.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4051.json new file mode 100644 index 0000000000000000000000000000000000000000..c536634e80a1e9c689b15adb658ba026717c17f6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4051.json @@ -0,0 +1,38 @@ +{ + "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": "scene0580_01", + "dataset": "scannet", + "question_id": 4051, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: trash bin, table, pillow, mirror?", + "options": [ + "A. trash bin, table, mirror, pillow", + "B. pillow, table, mirror, trash bin", + "C. pillow, table, trash bin, mirror", + "D. trash bin, table, pillow, mirror" + ], + "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": { + "trash bin": 9, + "table": 10, + "pillow": 4, + "mirror": 15 + }, + "true_order_per_spatial_code": "pillow, trash bin, table, mirror", + "ground_truth_option_text": "pillow, table, mirror, trash bin", + "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/64/scene0580_01/4052.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4052.json new file mode 100644 index 0000000000000000000000000000000000000000..6fb65d8efab8bc05bb788d78988e11bebf8f3443 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4052.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4052, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: bookshelf, mirror, lamp, table?", + "options": [ + "A. bookshelf, mirror, lamp, table", + "B. lamp, table, mirror, bookshelf", + "C. lamp, mirror, table, bookshelf", + "D. lamp, table, bookshelf, mirror" + ], + "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/scene0580_01/4053.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4053.json new file mode 100644 index 0000000000000000000000000000000000000000..b12a4c2d15c2912a807701e615857d8e6f63b037 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4053.json @@ -0,0 +1,38 @@ +{ + "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": "scene0580_01", + "dataset": "scannet", + "question_id": 4053, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: mirror, trash bin, chair, bookshelf?", + "options": [ + "A. chair, bookshelf, trash bin, mirror", + "B. mirror, trash bin, chair, bookshelf", + "C. bookshelf, mirror, trash bin, chair", + "D. chair, bookshelf, mirror, trash bin" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "mirror": 15, + "trash bin": 9, + "chair": 8, + "bookshelf": 7 + }, + "true_order_per_spatial_code": "bookshelf, chair, trash bin, mirror", + "ground_truth_option_text": "chair, bookshelf, mirror, trash bin", + "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/64/scene0580_01/4054.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4054.json new file mode 100644 index 0000000000000000000000000000000000000000..31eecfe804608e92dc61bd9eb047c8b5cd07c2e2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4054.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4054, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: mirror, chair, lamp, window?", + "options": [ + "A. chair, window, mirror, lamp", + "B. lamp, chair, window, mirror", + "C. mirror, chair, lamp, window", + "D. chair, mirror, window, lamp" + ], + "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/scene0580_01/4055.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4055.json new file mode 100644 index 0000000000000000000000000000000000000000..9753f4e378864d2691c566d93ea2193b706301d0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4055.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4055, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: backpack, mirror, table, bookshelf?", + "options": [ + "A. backpack, table, bookshelf, mirror", + "B. backpack, mirror, table, bookshelf", + "C. mirror, backpack, table, bookshelf", + "D. mirror, bookshelf, backpack, table" + ], + "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/scene0580_01/4056.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4056.json new file mode 100644 index 0000000000000000000000000000000000000000..41e28d6deea3fe3a940c7cea0ded9b93b62b5e40 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4056.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4056, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: lamp, table, chair, window?", + "options": [ + "A. window, table, chair, lamp", + "B. lamp, table, chair, window", + "C. lamp, chair, table, window", + "D. table, window, lamp, 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/64/scene0580_01/4057.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4057.json new file mode 100644 index 0000000000000000000000000000000000000000..f10549f5539730d1f5ae1587a14609809a56924f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4057.json @@ -0,0 +1,38 @@ +{ + "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": "scene0580_01", + "dataset": "scannet", + "question_id": 4057, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, chair, trash bin, window?", + "options": [ + "A. window, trash bin, table, chair", + "B. chair, table, window, trash bin", + "C. table, chair, trash bin, window", + "D. chair, table, trash bin, window" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "table": 10, + "chair": 8, + "trash bin": 9, + "window": 11 + }, + "true_order_per_spatial_code": "chair, trash bin, table, window", + "ground_truth_option_text": "chair, table, window, trash bin", + "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/64/scene0580_01/4058.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4058.json new file mode 100644 index 0000000000000000000000000000000000000000..ce2b19921bb14aa1713e94be7d590813c369d62b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4058.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4058, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, nightstand, trash bin, chair?", + "options": [ + "A. table, trash bin, chair, nightstand", + "B. trash bin, nightstand, chair, table", + "C. table, nightstand, trash bin, chair", + "D. nightstand, chair, table, trash bin" + ], + "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/scene0580_01/4059.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4059.json new file mode 100644 index 0000000000000000000000000000000000000000..96091610d89224b146044ebc27c669cbf9a7795d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4059.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4059, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: window, table, door, mirror?", + "options": [ + "A. window, door, mirror, table", + "B. table, window, door, mirror", + "C. door, table, window, mirror", + "D. window, table, door, mirror" + ], + "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/scene0580_01/4060.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4060.json new file mode 100644 index 0000000000000000000000000000000000000000..1c1cb530ce3d0656a4ad2e40d7091ed71d5b86ea --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4060.json @@ -0,0 +1,38 @@ +{ + "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": "scene0580_01", + "dataset": "scannet", + "question_id": 4060, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: nightstand, trash bin, mirror, table?", + "options": [ + "A. nightstand, table, mirror, trash bin", + "B. trash bin, mirror, table, nightstand", + "C. mirror, trash bin, table, nightstand", + "D. nightstand, trash bin, mirror, table" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "nightstand": 3, + "trash bin": 9, + "mirror": 15, + "table": 10 + }, + "true_order_per_spatial_code": "nightstand, trash bin, table, mirror", + "ground_truth_option_text": "nightstand, table, mirror, trash bin", + "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/64/scene0580_01/4061.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4061.json new file mode 100644 index 0000000000000000000000000000000000000000..a9a23f57cfbd609e90baedc59f9c4a90cb6f7b01 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4061.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4061, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: trash bin, mirror, table, door?", + "options": [ + "A. table, trash bin, door, mirror", + "B. trash bin, mirror, door, table", + "C. door, table, mirror, trash bin", + "D. trash bin, mirror, table, 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/64/scene0580_01/4062.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4062.json new file mode 100644 index 0000000000000000000000000000000000000000..7c86c21aba394fe31fe6e8dbb2b893d21b9eb54b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4062.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4062, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, bookshelf, chair, bed?", + "options": [ + "A. bed, chair, table, bookshelf", + "B. table, bookshelf, chair, bed", + "C. table, chair, bookshelf, bed", + "D. chair, bookshelf, table, bed" + ], + "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/scene0580_01/4063.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4063.json new file mode 100644 index 0000000000000000000000000000000000000000..f1c79926a7f321b71d90eba2b9f1cf6540e024cb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4063.json @@ -0,0 +1,38 @@ +{ + "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": "scene0580_01", + "dataset": "scannet", + "question_id": 4063, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, chair, trash bin, bookshelf?", + "options": [ + "A. bookshelf, trash bin, chair, table", + "B. table, chair, trash bin, bookshelf", + "C. bookshelf, trash bin, table, chair", + "D. chair, table, bookshelf, trash bin" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "table": 10, + "chair": 8, + "trash bin": 9, + "bookshelf": 7 + }, + "true_order_per_spatial_code": "bookshelf, chair, trash bin, table", + "ground_truth_option_text": "chair, table, bookshelf, trash bin", + "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/64/scene0580_01/4064.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4064.json new file mode 100644 index 0000000000000000000000000000000000000000..5a014c089b9caaf1c3d402f55c4c772abdcfe280 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4064.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4064, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: bed, window, table, mirror?", + "options": [ + "A. bed, window, table, mirror", + "B. bed, table, window, mirror", + "C. bed, table, mirror, window", + "D. mirror, table, window, 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/64/scene0580_01/4065.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4065.json new file mode 100644 index 0000000000000000000000000000000000000000..3b0bfd1505e4c05de9fe1baed3b42e419fa4c4d0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4065.json @@ -0,0 +1,38 @@ +{ + "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": "scene0580_01", + "dataset": "scannet", + "question_id": 4065, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: bookshelf, door, table, trash bin?", + "options": [ + "A. bookshelf, door, table, trash bin", + "B. table, trash bin, bookshelf, door", + "C. door, table, bookshelf, trash bin", + "D. trash bin, table, bookshelf, door" + ], + "full_prompt": null, + "answer_expected": "C", + "answer_given": "A", + "answer_raw": "A", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "bookshelf": 7, + "door": 1, + "table": 10, + "trash bin": 9 + }, + "true_order_per_spatial_code": "door, bookshelf, trash bin, table", + "ground_truth_option_text": "door, table, bookshelf, trash bin", + "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/64/scene0580_01/4066.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4066.json new file mode 100644 index 0000000000000000000000000000000000000000..494a23c703218be6ef6b608cff42336edb62321e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4066.json @@ -0,0 +1,38 @@ +{ + "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": "scene0580_01", + "dataset": "scannet", + "question_id": 4066, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, mirror, bed, trash bin?", + "options": [ + "A. table, mirror, bed, trash bin", + "B. table, bed, trash bin, mirror", + "C. table, mirror, trash bin, bed", + "D. bed, table, mirror, trash bin" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "table": 10, + "mirror": 15, + "bed": 0, + "trash bin": 9 + }, + "true_order_per_spatial_code": "bed, trash bin, table, mirror", + "ground_truth_option_text": "bed, table, mirror, trash bin", + "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/64/scene0580_01/4067.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4067.json new file mode 100644 index 0000000000000000000000000000000000000000..5fa4e73230b817a116fb63528e0c870ce8e268a0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4067.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4067, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: lamp, trash bin, chair, bookshelf?", + "options": [ + "A. lamp, trash bin, chair, bookshelf", + "B. lamp, chair, bookshelf, trash bin", + "C. lamp, trash bin, bookshelf, chair", + "D. trash bin, chair, lamp, bookshelf" + ], + "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/scene0580_01/4068.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4068.json new file mode 100644 index 0000000000000000000000000000000000000000..fe9a773442eb345d789f168cad6cc7f57186a6d8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4068.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4068, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: lamp, mirror, table, window?", + "options": [ + "A. lamp, table, window, mirror", + "B. table, window, mirror, lamp", + "C. lamp, mirror, table, window", + "D. mirror, lamp, window, table" + ], + "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/scene0580_01/4069.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4069.json new file mode 100644 index 0000000000000000000000000000000000000000..0bc308fc32900eb63301c494e7447983123dd439 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4069.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4069, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: door, table, chair, bookshelf?", + "options": [ + "A. chair, bookshelf, door, table", + "B. bookshelf, table, chair, door", + "C. door, table, chair, bookshelf", + "D. door, chair, table, 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/64/scene0580_01/4070.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4070.json new file mode 100644 index 0000000000000000000000000000000000000000..5194021570d019ad137b089c18c69b77a979d3d4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4070.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4070, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: bed, table, mirror, bookshelf?", + "options": [ + "A. table, mirror, bed, bookshelf", + "B. bed, table, bookshelf, mirror", + "C. bed, table, mirror, bookshelf", + "D. table, bookshelf, mirror, 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/64/scene0580_01/4071.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4071.json new file mode 100644 index 0000000000000000000000000000000000000000..62a73835ac38f2d6dbb4815853b68286aedeb1a1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4071.json @@ -0,0 +1,38 @@ +{ + "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": "scene0580_01", + "dataset": "scannet", + "question_id": 4071, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: chair, table, bookshelf, lamp?", + "options": [ + "A. chair, table, bookshelf, lamp", + "B. bookshelf, lamp, chair, table", + "C. lamp, chair, table, bookshelf", + "D. chair, lamp, bookshelf, 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": { + "chair": 8, + "table": 10, + "bookshelf": 7, + "lamp": 5 + }, + "true_order_per_spatial_code": "lamp, bookshelf, chair, table", + "ground_truth_option_text": "lamp, chair, table, 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/64/scene0580_01/4072.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4072.json new file mode 100644 index 0000000000000000000000000000000000000000..ce4933d058720c55c41b59209fc4e1a17ef6ee13 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4072.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4072, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: trash bin, chair, lamp, table?", + "options": [ + "A. lamp, chair, table, trash bin", + "B. lamp, table, trash bin, chair", + "C. trash bin, table, chair, lamp", + "D. trash bin, chair, lamp, table" + ], + "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/scene0580_01/4073.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4073.json new file mode 100644 index 0000000000000000000000000000000000000000..2b9acc0bd94fc0b9db66c0472e87aa245e731238 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4073.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4073, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: mirror, trash bin, nightstand, chair?", + "options": [ + "A. nightstand, chair, mirror, trash bin", + "B. chair, mirror, trash bin, nightstand", + "C. mirror, trash bin, nightstand, chair", + "D. trash bin, nightstand, mirror, 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/64/scene0580_01/4074.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4074.json new file mode 100644 index 0000000000000000000000000000000000000000..847972dc6fce4e99a7544b21cb77a1856184d51c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4074.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4074, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: chair, table, window, backpack?", + "options": [ + "A. backpack, window, chair, table", + "B. chair, table, window, backpack", + "C. table, backpack, chair, window", + "D. backpack, chair, table, window" + ], + "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/scene0580_01/4075.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4075.json new file mode 100644 index 0000000000000000000000000000000000000000..0f5fff5d29127e2d5ff3d3b6ff0e914061ed349b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4075.json @@ -0,0 +1,38 @@ +{ + "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": "scene0580_01", + "dataset": "scannet", + "question_id": 4075, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: trash bin, table, lamp, mirror?", + "options": [ + "A. table, mirror, trash bin, lamp", + "B. trash bin, table, lamp, mirror", + "C. lamp, table, mirror, trash bin", + "D. table, mirror, lamp, trash bin" + ], + "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": { + "trash bin": 9, + "table": 10, + "lamp": 5, + "mirror": 15 + }, + "true_order_per_spatial_code": "lamp, trash bin, table, mirror", + "ground_truth_option_text": "lamp, table, mirror, trash bin", + "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/64/scene0580_01/4076.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4076.json new file mode 100644 index 0000000000000000000000000000000000000000..9135a1d91168a0aa6b14534de1ea42ae751b9911 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4076.json @@ -0,0 +1,38 @@ +{ + "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": "scene0580_01", + "dataset": "scannet", + "question_id": 4076, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: mirror, chair, backpack, bookshelf?", + "options": [ + "A. mirror, chair, backpack, bookshelf", + "B. backpack, chair, bookshelf, mirror", + "C. backpack, chair, mirror, bookshelf", + "D. backpack, bookshelf, chair, mirror" + ], + "full_prompt": null, + "answer_expected": "B", + "answer_given": "D", + "answer_raw": "D", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "mirror": 15, + "chair": 8, + "backpack": 6, + "bookshelf": 7 + }, + "true_order_per_spatial_code": "backpack, bookshelf, chair, mirror", + "ground_truth_option_text": "backpack, chair, bookshelf, mirror", + "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/64/scene0580_01/4077.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4077.json new file mode 100644 index 0000000000000000000000000000000000000000..519175c412bf4fbf4b3689ad77804ea86f8334f9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4077.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4077, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: table, pillow, trash bin, window?", + "options": [ + "A. table, window, trash bin, pillow", + "B. pillow, table, window, trash bin", + "C. window, trash bin, pillow, table", + "D. table, pillow, trash bin, window" + ], + "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/scene0580_01/4078.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4078.json new file mode 100644 index 0000000000000000000000000000000000000000..143323c89664bd1719b2bb640115c870d1c1c85e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4078.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4078, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: trash bin, chair, pillow, bookshelf?", + "options": [ + "A. pillow, chair, bookshelf, trash bin", + "B. trash bin, pillow, chair, bookshelf", + "C. bookshelf, chair, pillow, trash bin", + "D. trash bin, chair, pillow, bookshelf" + ], + "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/scene0580_01/4079.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4079.json new file mode 100644 index 0000000000000000000000000000000000000000..f0613f0a926e0fa32a9e3d63c7e10d1e414abf57 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4079.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4079, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: chair, bookshelf, nightstand, table?", + "options": [ + "A. chair, table, nightstand, bookshelf", + "B. table, bookshelf, chair, nightstand", + "C. nightstand, chair, table, bookshelf", + "D. chair, bookshelf, nightstand, 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/64/scene0580_01/4324.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4324.json new file mode 100644 index 0000000000000000000000000000000000000000..57b5c60c2051c2c43d7f83f35ef96c1b1a24c355 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4324.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4324, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the window and facing the nightstand, is the mirror 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": "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/scene0580_01/4325.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4325.json new file mode 100644 index 0000000000000000000000000000000000000000..2642aaea8d8a1108f8864bef2717b894b468d5a4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4325.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4325, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the window and facing the mirror, is the nightstand 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": "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/scene0580_01/4326.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4326.json new file mode 100644 index 0000000000000000000000000000000000000000..63877a705792b9a8135eed3ae3d0ffdb0dcecbc1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4326.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4326, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the nightstand and facing the window, is the mirror 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": "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/scene0580_01/4526.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4526.json new file mode 100644 index 0000000000000000000000000000000000000000..2cb0ea376d899c695ab7943cc3c5521925e9584b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4526.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4526, + "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/64/scene0580_01/4527.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4527.json new file mode 100644 index 0000000000000000000000000000000000000000..b51a08edd24bee7ed68e8f3dc88df136a0389ae5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4527.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4527, + "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/64/scene0580_01/4528.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4528.json new file mode 100644 index 0000000000000000000000000000000000000000..6c20a98aea3960eaca8967452661d44e85901298 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4528.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4528, + "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/64/scene0580_01/4825.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4825.json new file mode 100644 index 0000000000000000000000000000000000000000..9cd00954e3c2e31cf6db21c64af0856ce4902f09 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4825.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4825, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the lamp and the chair (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.6", + "answer_given": "1.75", + "answer_raw": "1.75", + "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/scene0580_01/4826.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4826.json new file mode 100644 index 0000000000000000000000000000000000000000..120f33f568d240cba6ca27900a1aa667c1f51278 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4826.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4826, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the lamp and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.1", + "answer_given": "1.55", + "answer_raw": "1.55", + "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/scene0580_01/4827.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4827.json new file mode 100644 index 0000000000000000000000000000000000000000..12c2f56c106d4420dea788e50885082df65ad27b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4827.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4827, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the table and the trash bin (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.3", + "answer_given": "0.28", + "answer_raw": "0.28", + "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/scene0580_01/4828.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4828.json new file mode 100644 index 0000000000000000000000000000000000000000..b0f1eb77f34a9610263bc1c6a8c5384c72c8fa71 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4828.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4828, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the mirror and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.9", + "answer_given": "1.39", + "answer_raw": "1.39", + "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/scene0580_01/4829.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4829.json new file mode 100644 index 0000000000000000000000000000000000000000..2b4604bc66dbe53dd1a640030dce8e787638ccd5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4829.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4829, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the bookshelf and the chair (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.7", + "answer_given": "0.24", + "answer_raw": "0.24", + "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/scene0580_01/4830.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4830.json new file mode 100644 index 0000000000000000000000000000000000000000..fc74c4e3f0b73d37c0db36a7df5fa92383696369 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4830.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4830, + "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": "1.6", + "answer_given": "1.6", + "answer_raw": "1.6", + "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/scene0580_01/4831.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4831.json new file mode 100644 index 0000000000000000000000000000000000000000..0e76deb5d9f0ae5677f8d7144ec10d92a4cd872e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/4831.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": "scene0580_01", + "dataset": "scannet", + "question_id": 4831, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the mirror and the bed (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.5", + "answer_given": "0.78", + "answer_raw": "0.78", + "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/scene0580_01/5068.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/5068.json new file mode 100644 index 0000000000000000000000000000000000000000..56a4b62a057aa40f40405eae702151eac7b79b92 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/5068.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": "scene0580_01", + "dataset": "scannet", + "question_id": 5068, + "question_type": "route_planning", + "question": "You are a robot beginning at the door and facing the lamp. You want to navigate to the bookshelf. 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 bookshelf. You have reached the final destination.", + "options": [ + "A. Turn Back, Turn Right", + "B. Turn Left, Turn Left", + "C. Turn Left, Turn Right", + "D. Turn Back, Turn 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/scene0580_01/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..447134710af46041e3456a6f77a246df5e81c974 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0580_01/_aggregate.json @@ -0,0 +1,16 @@ +{ + "scene_id": "scene0580_01", + "aggregate": { + "overall": 38.452380952380956, + "object_counting_MRA:.5:.95:.05": 40.00000000000001, + "object_abs_distance_MRA:.5:.95:.05": 34.285714285714285, + "object_size_estimation_MRA:.5:.95:.05": 36.666666666666664, + "room_size_estimation_MRA:.5:.95:.05": 80.0, + "object_rel_distance_accuracy": 0.0, + "object_rel_direction_accuracy": 50.0, + "route_planning_accuracy": 0.0, + "obj_appearance_order_accuracy": 66.66666666666666, + "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": "38.452, 40.000, 34.286, 36.667, 80.000, 0.000, 50.000, 0.000, 66.667" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3121.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3121.json new file mode 100644 index 0000000000000000000000000000000000000000..78f330e91201ea34fa7c14e8b926706e65dc6603 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3121.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3121, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (window, trash bin, printer, sofa) is the closest to the fan?", + "options": [ + "A. window", + "B. trash bin", + "C. printer", + "D. sofa" + ], + "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/64/scene0593_00/3122.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3122.json new file mode 100644 index 0000000000000000000000000000000000000000..eba897d1f4db2a2a4732a7ba6e7f30f6d1bd44ba --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3122.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3122, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, window, fan, sofa) is the closest to the door?", + "options": [ + "A. table", + "B. window", + "C. fan", + "D. sofa" + ], + "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/scene0593_00/3123.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3123.json new file mode 100644 index 0000000000000000000000000000000000000000..1ce892310e0531a4e9eecda6eded290ec28aed4c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3123.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3123, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (fan, backpack, window, trash bin) is the closest to the table?", + "options": [ + "A. fan", + "B. backpack", + "C. window", + "D. trash bin" + ], + "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/64/scene0593_00/3124.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3124.json new file mode 100644 index 0000000000000000000000000000000000000000..b781ed0d13fd10b1418cdfddff5db6c544628acd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3124.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3124, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (trash bin, sofa, backpack, table) is the closest to the printer?", + "options": [ + "A. trash bin", + "B. sofa", + "C. backpack", + "D. table" + ], + "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/64/scene0593_00/3125.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3125.json new file mode 100644 index 0000000000000000000000000000000000000000..85aeb0c04cbff2d9f2f15af359ccf7484f9482d4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3125.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3125, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (trash bin, printer, window, door) is the closest to the sofa?", + "options": [ + "A. trash bin", + "B. printer", + "C. window", + "D. door" + ], + "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/64/scene0593_00/3126.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3126.json new file mode 100644 index 0000000000000000000000000000000000000000..2329827940f6fd7f88e7b01f6618238c776bd6f0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3126.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3126, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (trash bin, printer, table, door) is the closest to the backpack?", + "options": [ + "A. trash bin", + "B. printer", + "C. table", + "D. door" + ], + "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/64/scene0593_00/3127.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3127.json new file mode 100644 index 0000000000000000000000000000000000000000..c6737c12ec108b2710bca8af91ac85b70c36f568 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3127.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3127, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (printer, sofa, backpack, window) is the closest to the fan?", + "options": [ + "A. printer", + "B. sofa", + "C. backpack", + "D. window" + ], + "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/64/scene0593_00/3128.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3128.json new file mode 100644 index 0000000000000000000000000000000000000000..f04f646cdf1d410ec4ddf0d03dbfee0b4d2dbe66 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3128.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3128, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (sofa, window, table, trash bin) is the closest to the printer?", + "options": [ + "A. sofa", + "B. window", + "C. table", + "D. trash bin" + ], + "full_prompt": null, + "answer_expected": "D", + "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/64/scene0593_00/3129.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3129.json new file mode 100644 index 0000000000000000000000000000000000000000..c41de7dfee3b0f3efba6fe7721030f45e44dd48c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3129.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3129, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, backpack, fan, door) is the closest to the printer?", + "options": [ + "A. table", + "B. backpack", + "C. fan", + "D. door" + ], + "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/64/scene0593_00/3130.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3130.json new file mode 100644 index 0000000000000000000000000000000000000000..8a52c48a5e77c4cd24d402f13a9ce31652234b1d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3130.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3130, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, window, backpack, door) is the closest to the fan?", + "options": [ + "A. table", + "B. window", + "C. backpack", + "D. door" + ], + "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/64/scene0593_00/3131.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3131.json new file mode 100644 index 0000000000000000000000000000000000000000..53d9d2b3790e92799ab87dfae48bd09797b3e03e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3131.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3131, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (printer, window, table, sofa) is the closest to the fan?", + "options": [ + "A. printer", + "B. window", + "C. table", + "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/64/scene0593_00/3439.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3439.json new file mode 100644 index 0000000000000000000000000000000000000000..030e92e6fca6d66247a1f45a8ada13064d98a52d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3439.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3439, + "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": "182", + "answer_given": "153.0", + "answer_raw": "153.0", + "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/scene0593_00/3440.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3440.json new file mode 100644 index 0000000000000000000000000000000000000000..66eefb01fb0066346ea1b4075e7448603adf47ec --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3440.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3440, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension (length, width, or height) of the printer, measured in centimeters?", + "options": null, + "full_prompt": null, + "answer_expected": "54", + "answer_given": "78.0", + "answer_raw": "78.0", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3441.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3441.json new file mode 100644 index 0000000000000000000000000000000000000000..e3693fa14698dc4593b271832a565cab67cddf6b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3441.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3441, + "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": "54", + "answer_given": "38.0", + "answer_raw": "38.0", + "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/scene0593_00/3442.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3442.json new file mode 100644 index 0000000000000000000000000000000000000000..ba22ca98e85c7b800a2a820296e8fa4b0156ee7c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3442.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3442, + "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": "124", + "answer_given": "50.0", + "answer_raw": "50.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3443.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3443.json new file mode 100644 index 0000000000000000000000000000000000000000..61c298ecff1ab581358eb32d0b51d38e9db0b840 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3443.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3443, + "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": "152", + "answer_given": "143.0", + "answer_raw": "143.0", + "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/scene0593_00/3444.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3444.json new file mode 100644 index 0000000000000000000000000000000000000000..4fcbeb0be05d569080ce814495e4ac4c315b8045 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3444.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3444, + "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": "108", + "answer_given": "139.0", + "answer_raw": "139.0", + "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/scene0593_00/3651.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3651.json new file mode 100644 index 0000000000000000000000000000000000000000..947785bf8d52d6e48e1e9bff27923930896706e2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3651.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3651, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the backpack and facing the fan, 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": "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/64/scene0593_00/3652.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3652.json new file mode 100644 index 0000000000000000000000000000000000000000..267b856f0722a15c16bc68128f32922bbbdc9bf8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3652.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3652, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the backpack and facing the door, is the 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. back-right", + "B. front-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/64/scene0593_00/3653.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3653.json new file mode 100644 index 0000000000000000000000000000000000000000..a70ccda9579285d7cd5a0c279eb454ec89c734e4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3653.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3653, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the fan and facing the backpack, 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-left", + "B. back-right", + "C. front-right", + "D. back-left" + ], + "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/64/scene0593_00/3654.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3654.json new file mode 100644 index 0000000000000000000000000000000000000000..c9f993a74b47e36eb6d2f49660a9dbea940fba69 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3654.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3654, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the printer and facing the door, 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. front-left", + "C. back-left", + "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/64/scene0593_00/3655.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3655.json new file mode 100644 index 0000000000000000000000000000000000000000..b3cc14a4ff40a39c5070cb465f3c3e47711782ae --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3655.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3655, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the printer and facing the table, 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": "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/64/scene0593_00/3740.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3740.json new file mode 100644 index 0000000000000000000000000000000000000000..62e4245059970dac3f0e63610f0cc36fec190688 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3740.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3740, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the printer and facing the backpack, is the table to the left or the right of the backpack?", + "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/64/scene0593_00/3741.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3741.json new file mode 100644 index 0000000000000000000000000000000000000000..85ba796eb06340dd81d1cd2d8b456478f8d2dfca --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3741.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3741, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the printer and facing the table, is the backpack to the left or the right of the table?", + "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/64/scene0593_00/3742.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3742.json new file mode 100644 index 0000000000000000000000000000000000000000..e73f223cba628f36bbe0621d97bd1428a4672a9c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3742.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3742, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the backpack and facing the printer, is the table to the left or the right of the printer?", + "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/64/scene0593_00/3821.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3821.json new file mode 100644 index 0000000000000000000000000000000000000000..da5c60c991c621d697705dabeddbf388aec88f13 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/3821.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": "scene0593_00", + "dataset": "scannet", + "question_id": 3821, + "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": "20.7", + "answer_given": "8.1", + "answer_raw": "8.1", + "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/scene0593_00/4110.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4110.json new file mode 100644 index 0000000000000000000000000000000000000000..e6d59d416433d3e2b27cbefdcf113d74e7af82ae --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4110.json @@ -0,0 +1,38 @@ +{ + "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": "scene0593_00", + "dataset": "scannet", + "question_id": 4110, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: fan, backpack, table, trash bin?", + "options": [ + "A. fan, backpack, table, trash bin", + "B. table, fan, backpack, trash bin", + "C. backpack, trash bin, fan, table", + "D. table, backpack, fan, trash bin" + ], + "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": { + "fan": 8, + "backpack": 12, + "table": 6, + "trash bin": 4 + }, + "true_order_per_spatial_code": "trash bin, table, fan, backpack", + "ground_truth_option_text": "backpack, trash bin, fan, 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/64/scene0593_00/4111.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4111.json new file mode 100644 index 0000000000000000000000000000000000000000..8341936b983668139b3862542c3059cbd3474698 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4111.json @@ -0,0 +1,38 @@ +{ + "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": "scene0593_00", + "dataset": "scannet", + "question_id": 4111, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: printer, trash bin, table, backpack?", + "options": [ + "A. backpack, trash bin, printer, table", + "B. printer, trash bin, table, backpack", + "C. table, printer, backpack, trash bin", + "D. printer, table, trash bin, backpack" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "printer": 2, + "trash bin": 4, + "table": 6, + "backpack": 12 + }, + "true_order_per_spatial_code": "printer, trash bin, table, backpack", + "ground_truth_option_text": "backpack, trash bin, printer, 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/64/scene0593_00/4112.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4112.json new file mode 100644 index 0000000000000000000000000000000000000000..360b129ba7574982b25e688616764784b145e59d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4112.json @@ -0,0 +1,38 @@ +{ + "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": "scene0593_00", + "dataset": "scannet", + "question_id": 4112, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: backpack, door, table, trash bin?", + "options": [ + "A. backpack, table, trash bin, door", + "B. trash bin, table, door, backpack", + "C. backpack, door, table, trash bin", + "D. backpack, trash bin, door, table" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "backpack": 12, + "door": 3, + "table": 6, + "trash bin": 4 + }, + "true_order_per_spatial_code": "door, trash bin, table, backpack", + "ground_truth_option_text": "backpack, 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/64/scene0593_00/4113.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4113.json new file mode 100644 index 0000000000000000000000000000000000000000..3f878f44d0110e4c2f7ee3f3a3d3291423ca0568 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4113.json @@ -0,0 +1,38 @@ +{ + "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": "scene0593_00", + "dataset": "scannet", + "question_id": 4113, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: printer, table, window, sofa?", + "options": [ + "A. table, printer, window, sofa", + "B. table, window, sofa, printer", + "C. printer, table, window, sofa", + "D. sofa, window, printer, 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": { + "printer": 2, + "table": 6, + "window": 0, + "sofa": 11 + }, + "true_order_per_spatial_code": "window, printer, table, sofa", + "ground_truth_option_text": "sofa, window, printer, 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/64/scene0593_00/4114.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4114.json new file mode 100644 index 0000000000000000000000000000000000000000..535c6df26cbf9d49aed042e8696eab401f4ff738 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4114.json @@ -0,0 +1,38 @@ +{ + "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": "scene0593_00", + "dataset": "scannet", + "question_id": 4114, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: printer, trash bin, sofa, table?", + "options": [ + "A. sofa, trash bin, printer, table", + "B. trash bin, printer, sofa, table", + "C. printer, trash bin, sofa, table", + "D. sofa, trash bin, table, printer" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "printer": 2, + "trash bin": 4, + "sofa": 11, + "table": 6 + }, + "true_order_per_spatial_code": "printer, trash bin, table, sofa", + "ground_truth_option_text": "sofa, trash bin, printer, 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/64/scene0593_00/4115.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4115.json new file mode 100644 index 0000000000000000000000000000000000000000..7609e16570189702b45afc76860cbf1bc77cd3d5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4115.json @@ -0,0 +1,38 @@ +{ + "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": "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": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "fan": 8, + "table": 6, + "sofa": 11, + "window": 0 + }, + "true_order_per_spatial_code": "window, table, fan, sofa", + "ground_truth_option_text": "sofa, window, fan, 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/64/scene0593_00/4116.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4116.json new file mode 100644 index 0000000000000000000000000000000000000000..8bcd2ee942e2166b8f0522556f9d106844f8cdd5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4116.json @@ -0,0 +1,38 @@ +{ + "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": "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": "A", + "answer_raw": "A", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "table": 6, + "trash bin": 4, + "fan": 8, + "sofa": 11 + }, + "true_order_per_spatial_code": "trash bin, table, fan, sofa", + "ground_truth_option_text": "sofa, trash bin, fan, 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/64/scene0593_00/4117.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4117.json new file mode 100644 index 0000000000000000000000000000000000000000..1d98724e28434b7fd1e7a0ac4d3f1ced25846563 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4117.json @@ -0,0 +1,38 @@ +{ + "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": "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": "D", + "answer_raw": "D", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "fan": 8, + "table": 6, + "window": 0, + "backpack": 12 + }, + "true_order_per_spatial_code": "window, table, fan, backpack", + "ground_truth_option_text": "backpack, window, fan, 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/64/scene0593_00/4118.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4118.json new file mode 100644 index 0000000000000000000000000000000000000000..a2a8f4d4261d580c732723912803405f7dfe2344 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4118.json @@ -0,0 +1,38 @@ +{ + "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": "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": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "table": 6, + "door": 3, + "window": 0, + "sofa": 11 + }, + "true_order_per_spatial_code": "window, door, table, sofa", + "ground_truth_option_text": "sofa, 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/64/scene0593_00/4119.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4119.json new file mode 100644 index 0000000000000000000000000000000000000000..7bdcef2d11cb6d7f111a98695f22808cf4ad72ba --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4119.json @@ -0,0 +1,38 @@ +{ + "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": "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": 12, + "door": 3, + "table": 6 + }, + "true_order_per_spatial_code": "window, door, table, backpack", + "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/64/scene0593_00/4120.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4120.json new file mode 100644 index 0000000000000000000000000000000000000000..3d99fe549c1559bfb4e3bcf08879d228cecc7e17 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4120.json @@ -0,0 +1,38 @@ +{ + "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": "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": 6, + "trash bin": 4, + "sofa": 11, + "door": 3 + }, + "true_order_per_spatial_code": "door, trash bin, table, sofa", + "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/64/scene0593_00/4121.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4121.json new file mode 100644 index 0000000000000000000000000000000000000000..34fe10d4204aefb9b8c7f8562c0979449c3d0767 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4121.json @@ -0,0 +1,38 @@ +{ + "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": "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": "B", + "answer_raw": "B", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "table": 6, + "window": 0, + "backpack": 12, + "printer": 2 + }, + "true_order_per_spatial_code": "window, printer, table, backpack", + "ground_truth_option_text": "backpack, window, printer, 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/64/scene0593_00/4330.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4330.json new file mode 100644 index 0000000000000000000000000000000000000000..f358cf16e883fd149822353904464e917b62b686 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4330.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": "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/64/scene0593_00/4331.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4331.json new file mode 100644 index 0000000000000000000000000000000000000000..5ac4b4c44494ac14f10da58653d023411a902b51 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4331.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": "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/64/scene0593_00/4332.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4332.json new file mode 100644 index 0000000000000000000000000000000000000000..a0c5b954a25bfe949456f74501bf1333796ca6d1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4332.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": "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": "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/64/scene0593_00/4333.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4333.json new file mode 100644 index 0000000000000000000000000000000000000000..1b7a1f80e11acc3f1bd33bcf5e626d54eb2fe731 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4333.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": "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/64/scene0593_00/4334.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4334.json new file mode 100644 index 0000000000000000000000000000000000000000..481d1752afa939c637373e0acdda67a21d4eb7c6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4334.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": "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/64/scene0593_00/4335.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4335.json new file mode 100644 index 0000000000000000000000000000000000000000..82935cd274e78a5066f4e6fdeb982f29f88a9975 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4335.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": "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/64/scene0593_00/4536.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4536.json new file mode 100644 index 0000000000000000000000000000000000000000..3733afbf9422fada869247de560a708d7de70eda --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4536.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": "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/64/scene0593_00/4537.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4537.json new file mode 100644 index 0000000000000000000000000000000000000000..e72a80a06a3b57e6eb829371d182bb614387188d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4537.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": "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": "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/scene0593_00/4839.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4839.json new file mode 100644 index 0000000000000000000000000000000000000000..38e17c848be5f4c1a0041fd677b5548710e26d75 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4839.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": "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": "2.87", + "answer_raw": "2.87", + "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/scene0593_00/4840.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4840.json new file mode 100644 index 0000000000000000000000000000000000000000..9a91b2415a0d7239c9a755799ec1ef9689dcb3a1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4840.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": "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": "2.27", + "answer_raw": "2.27", + "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/scene0593_00/4841.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4841.json new file mode 100644 index 0000000000000000000000000000000000000000..64faa1e10eb4b91b8808c5b3529dff8407e4d103 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4841.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": "scene0593_00", + "dataset": "scannet", + "question_id": 4841, + "question_type": 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Representative Instances Using Track Persistence/64/scene0593_00/4844.json new file mode 100644 index 0000000000000000000000000000000000000000..8f57b4d45780ba007d15298251c6d9aef5e20ff3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4844.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": "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": "1.52", + "answer_raw": "1.52", + "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/scene0593_00/4845.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4845.json new file mode 100644 index 0000000000000000000000000000000000000000..6ab087d3e410adb0cafec6c2393e6d965e20fbd7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/4845.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": "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": "0.46", + "answer_raw": "0.46", + "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/scene0593_00/5033.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/5033.json new file mode 100644 index 0000000000000000000000000000000000000000..fb160fa1ecbe8217dd1be2bd287c367d9eacab06 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/5033.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": "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/64/scene0593_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..1c8cceb2b6a0af9e91f5e8eef943232e9f402d68 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0593_00/_aggregate.json @@ -0,0 +1,16 @@ +{ + "scene_id": "scene0593_00", + "aggregate": { + "overall": 20.630411255411254, + "object_counting_MRA:.5:.95:.05": 55.00000000000001, + "object_abs_distance_MRA:.5:.95:.05": 54.28571428571429, + 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index 0000000000000000000000000000000000000000..77fe56954647da0fb4eab491b70e37148f42625f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3010.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": "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/64/scene0647_00/3011.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3011.json new file mode 100644 index 0000000000000000000000000000000000000000..9523609ae2cd3714bf60e1d2f2d18fbe10ad54c4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3011.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": "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/64/scene0647_00/3012.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3012.json new file mode 100644 index 0000000000000000000000000000000000000000..60cbc3f4c6c32e7b7861d2638caf95b0e50c0b31 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3012.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": "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/64/scene0647_00/3013.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3013.json new file mode 100644 index 0000000000000000000000000000000000000000..052335fa7f46102e871390298171dae49a66d313 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3013.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": "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/64/scene0647_00/3014.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3014.json new file mode 100644 index 0000000000000000000000000000000000000000..724da7799d5a8d495d3ebb863be02e886064149c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3014.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": "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/64/scene0647_00/3015.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3015.json new file mode 100644 index 0000000000000000000000000000000000000000..c0fde0a133b464bd369d2418a339b2b9fe22beb7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3015.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": "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/64/scene0647_00/3016.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3016.json new file mode 100644 index 0000000000000000000000000000000000000000..5725cae6b3f1c74ab829ca180db6e4193e521a14 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3016.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": "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/64/scene0647_00/3017.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3017.json new file mode 100644 index 0000000000000000000000000000000000000000..308b7c07272a7a5653c55a7efca668dae6f80a3e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3017.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": "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/64/scene0647_00/3290.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3290.json new file mode 100644 index 0000000000000000000000000000000000000000..6eb53d3ff2ffa3ed38e0d422015223bbe0e968a6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3290.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": "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": "76.0", + "answer_raw": "76.0", + "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/scene0647_00/3291.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3291.json new file mode 100644 index 0000000000000000000000000000000000000000..618d1086725afc228e732ac2ee968ed19981c4b7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3291.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": "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": "123.0", + "answer_raw": "123.0", + "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/scene0647_00/3292.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3292.json new file mode 100644 index 0000000000000000000000000000000000000000..58062238baa0773246e006a68367cd7b4d5c519a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3292.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": "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": "44.0", + "answer_raw": "44.0", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3781.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3781.json new file mode 100644 index 0000000000000000000000000000000000000000..47c046ef951dae0ad7462d4fea9b56c4ecf39f39 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/3781.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": "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/64/scene0647_00/4435.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/4435.json new file mode 100644 index 0000000000000000000000000000000000000000..fc9d976c560b31dacee11ebe7a29ea4ff8d866b3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/4435.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": "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/64/scene0647_00/4436.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/4436.json new file mode 100644 index 0000000000000000000000000000000000000000..f97dd6c43ad2496165b1eb56d71f2f85e79e88d7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/4436.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": "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/64/scene0647_00/4437.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/4437.json new file mode 100644 index 0000000000000000000000000000000000000000..22ca4c672ffc26ecaf43dbb0c282aea316cfeeb3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/4437.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": "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": "4", + "answer_raw": "4", + "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/scene0647_00/4701.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/4701.json new file mode 100644 index 0000000000000000000000000000000000000000..677aac1d73fbe91b47b9fe7603573bf7719fd31c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/4701.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": "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": "3.59", + "answer_raw": "3.59", + "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/scene0647_00/4702.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/4702.json new file mode 100644 index 0000000000000000000000000000000000000000..04f80c9546134eac3b1b1bce222e617e42f3f80e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/4702.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": "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": "4.57", + "answer_raw": "4.57", + "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/scene0647_00/4988.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/4988.json new file mode 100644 index 0000000000000000000000000000000000000000..0c7213c5d43cf3a74f94e58b527b2d7f075ecef8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/4988.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": "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/64/scene0647_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..343806aa2e785d2cb37b2a00552c427027342141 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0647_00/_aggregate.json @@ -0,0 +1,14 @@ +{ + "scene_id": "scene0647_00", + "aggregate": { + "overall": 49.02777777777778, + "object_counting_MRA:.5:.95:.05": 20.000000000000004, + "object_abs_distance_MRA:.5:.95:.05": 90.0, + "object_size_estimation_MRA:.5:.95:.05": 86.66666666666667, + "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": "49.028, 20.000, 90.000, 86.667, 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/64/scene0648_00/3018.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3018.json new file mode 100644 index 0000000000000000000000000000000000000000..60c572d4b721ec76b4431b3aaa2173c42f803566 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3018.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:64", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 64, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 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": "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/scene0648_00/3019.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3019.json new file mode 100644 index 0000000000000000000000000000000000000000..138717e581a91e374c109bb2c21df043026b27f6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3019.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:64", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 64, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 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": "", + "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/scene0648_00/3020.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3020.json new file mode 100644 index 0000000000000000000000000000000000000000..5521f0fbdb5926f9100f04d3483c87fe0e8792f3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3020.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:64", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 64, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 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/64/scene0648_00/3293.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3293.json new file mode 100644 index 0000000000000000000000000000000000000000..a3d2abb76600b074a18911214882ac166fd9eadb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/64/scene0648_00/3293.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:64", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 64, + "scene": "scene0648_00", + "dataset": "scannet", + "question_id": 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": "107.0", + "answer_raw": "107.0", + "score": 0.6 +} \ No newline at end of file