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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1720.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1720.json new file mode 100644 index 0000000000000000000000000000000000000000..7556a04eecfe8fcb0f6230fff3938e042c33d7cf --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1720.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 1720, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the tv and the basket (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.8", + "answer_given": "1.82", + "answer_raw": "1.82", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1721.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1721.json new file mode 100644 index 0000000000000000000000000000000000000000..7a647f1b20b088f67df5bc288d6f5a534585f61c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1721.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": 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+++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1723.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 1723, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the blanket and the tv (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.5", + "answer_given": "1.5", + "answer_raw": "1.5", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1724.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/96/5942004064/1725.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1725.json new file mode 100644 index 0000000000000000000000000000000000000000..eae732eeeb03f5a3975f713afe90ec9d45bf332a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1725.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 1725, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the bed and the sofa (in 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1875.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1875.json new file mode 100644 index 0000000000000000000000000000000000000000..dc9df64a6fee61d1fd3a5d5c61f206cfb48aa122 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1875.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 1875, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the toilet and facing the basket, is the tv to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. front-left", + "B. back-left", + "C. back-right", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1876.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1876.json new file mode 100644 index 0000000000000000000000000000000000000000..386faf82ca11fde365c499c10b39d149c135a05f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/1876.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": 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positive y-axis).", + "options": [ + "A. front-left", + "B. back-left", + "C. front-right", + "D. back-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/96/5942004064/2035.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2035.json new file mode 100644 index 0000000000000000000000000000000000000000..8faaf292fc16698613a1d1de8d2dbd1f12b6028e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2035.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2035, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (basket, pillow, door, heater) is the closest to the ceiling light?", + "options": [ + "A. basket", + "B. pillow", + "C. door", + "D. heater" + ], + "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/96/5942004064/2036.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2036.json new file mode 100644 index 0000000000000000000000000000000000000000..65a4825c9af62282509c96fb26fa707700aaaf09 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2036.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2036, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (plant, sofa, heater, pillow) is the closest to the ceiling light?", + "options": [ + "A. plant", + "B. sofa", + "C. heater", + "D. pillow" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2037.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2037.json new file mode 100644 index 0000000000000000000000000000000000000000..8838f0c180cef723dcc252d2c7aca483bc3b0935 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2037.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2037, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (heater, bed, chair, basket) is the closest to the ceiling light?", + "options": [ + "A. heater", + "B. bed", + "C. chair", + "D. basket" + ], + "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/96/5942004064/2038.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2038.json new file mode 100644 index 0000000000000000000000000000000000000000..9b5dd71f499c8efb11d1e6626770b506902d3bd3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2038.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2038, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (pillow, bed, tv, ceiling light) is the closest to the chair?", + "options": [ + "A. pillow", + "B. bed", + "C. tv", + "D. ceiling light" + ], + "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/96/5942004064/2039.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2039.json new file mode 100644 index 0000000000000000000000000000000000000000..b2cb41a5c2d094654d6b9ebc0d9b5525265ce658 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2039.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2039, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (basket, door, blanket, plant) is the closest to the chair?", + "options": [ + "A. basket", + "B. door", + "C. blanket", + "D. plant" + ], + "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/96/5942004064/2040.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2040.json new file mode 100644 index 0000000000000000000000000000000000000000..0e9296595a2a70a771de31efbf8959ebd1e80afd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2040.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2040, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (bed, plant, door, table) is the closest to the ceiling light?", + "options": [ + "A. bed", + "B. plant", + "C. door", + "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/96/5942004064/2041.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2041.json new file mode 100644 index 0000000000000000000000000000000000000000..272c6c05c8a47e8f343f6f476cf04b9096c236fd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2041.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2041, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, sofa, toilet, chair) is the closest to the blanket?", + "options": [ + "A. table", + "B. sofa", + "C. toilet", + "D. chair" + ], + "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/96/5942004064/2042.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2042.json new file mode 100644 index 0000000000000000000000000000000000000000..60986e90fa3451ecc93cfb1d08ff76a65534eded --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2042.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2042, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (blanket, basket, pillow, tv) is the closest to the chair?", + "options": [ + "A. blanket", + "B. basket", + "C. pillow", + "D. tv" + ], + "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/96/5942004064/2308.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2308.json new file mode 100644 index 0000000000000000000000000000000000000000..c37d02f3afadeff8a56d90f0a662abe691d3fc8b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2308.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + 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"score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2311.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2311.json new file mode 100644 index 0000000000000000000000000000000000000000..c4f991cb941abfdbf0313aa76319c36163640a2a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2311.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2311, + "question_type": "object_size_estimation", + "question": "What is the length of the longest dimension 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"number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2312, + "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": "218", + "answer_given": "280.0", + "answer_raw": "280.0", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2313.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2313.json new file mode 100644 index 0000000000000000000000000000000000000000..893fdba1324fb55232e8c394ddf052c9a02e968b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2313.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2313, + "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": "110", + "answer_given": "94.0", + "answer_raw": "94.0", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2314.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2314.json new file mode 100644 index 0000000000000000000000000000000000000000..e275b50add6044ec043537d1136ea9cbeff76ade --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2314.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2314, + "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": "56", + "answer_given": "131.0", + "answer_raw": "131.0", + "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": "164.0", + "answer_raw": "164.0", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2466.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2466.json new file mode 100644 index 0000000000000000000000000000000000000000..c8787776ae1a3496cb0527e67b21bb673fc2933c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2466.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2466, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the toilet and facing the chair, is the tv to the left or the right of the chair?", + "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/96/5942004064/2467.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2467.json new file mode 100644 index 0000000000000000000000000000000000000000..744149726078412749dbd954bc2f8683391fe430 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2467.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2467, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the toilet and facing the tv, is the chair to the left or the right of the tv?", + "options": [ + "A. right", + "B. left" + ], + "full_prompt": null, + "answer_expected": "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/96/5942004064/2468.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2468.json new file mode 100644 index 0000000000000000000000000000000000000000..c9ebcbb23e591e458dde5e37283d9705451a09ff --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2468.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2468, + "question_type": "object_rel_direction_easy", + "question": "If I am standing by the chair and facing the toilet, is the tv to the left or the right of the toilet?", + "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/96/5942004064/2586.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2586.json new file mode 100644 index 0000000000000000000000000000000000000000..7dec39997920ba476fb8cec1f8e529f60101a1ff --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2586.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2586, + "question_type": "object_counting", + "question": "How many door(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "4", + "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/96/5942004064/2587.json 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2588.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2588.json new file mode 100644 index 0000000000000000000000000000000000000000..6ee8d15c3a564d39c83047de59779ff4f02d6a67 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2588.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2588, + "question_type": "object_counting", + "question": "How many heater(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/96/5942004064/2589.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2589.json new file mode 100644 index 0000000000000000000000000000000000000000..fadb31bfc240e65783f071163e40d15d843161af --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2589.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2589, + "question_type": "object_counting", + "question": "How many plant(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "6", + "answer_given": "9", + "answer_raw": "9", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2590.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2590.json new file mode 100644 index 0000000000000000000000000000000000000000..c5f0234ed2dc2f17af15335d732bf6290d26a889 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2590.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2590, + "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/96/5942004064/2696.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2696.json new file mode 100644 index 0000000000000000000000000000000000000000..ea5e408f173fd31322ee4fad892b10e26e82b4f0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2696.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2696, + "question_type": "room_size_estimation", + "question": "What is the size of this room (in square meters)? \nIf multiple rooms are shown, estimate the size of the combined space.", + "options": null, + "full_prompt": null, + "answer_expected": "26.5", + "answer_given": "20.1", + "answer_raw": "20.1", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2715.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2715.json new file mode 100644 index 0000000000000000000000000000000000000000..570baa95606c5bde07c1c4c7064f645e32312852 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2715.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2715, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: basket, blanket, toilet, ceiling light?", + "options": [ + "A. basket, blanket, toilet, ceiling light", + "B. blanket, toilet, basket, ceiling light", + "C. toilet, ceiling light, basket, blanket", + "D. toilet, basket, blanket, ceiling light" + ], + "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": { + "basket": 1, + "blanket": 21, + "toilet": 3, + "ceiling light": 6 + }, + "true_order_per_spatial_code": "basket, toilet, ceiling light, blanket", + "ground_truth_option_text": "toilet, basket, blanket, ceiling light", + "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/96/5942004064/2716.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2716.json new file mode 100644 index 0000000000000000000000000000000000000000..9d0d8d55e79ee549e4cd25ce333e4f868423295b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2716.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2716, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: toilet, bed, basket, table?", + "options": [ + "A. basket, table, bed, toilet", + "B. toilet, basket, bed, table", + "C. toilet, bed, basket, table", + "D. toilet, basket, table, 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/96/5942004064/2717.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2717.json new file mode 100644 index 0000000000000000000000000000000000000000..1938980236113952caa87324f984a7c7b1a02f7b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2717.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2717, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: basket, ceiling light, door, pillow?", + "options": [ + "A. basket, door, pillow, ceiling light", + "B. door, basket, pillow, ceiling light", + "C. basket, ceiling light, door, pillow", + "D. pillow, door, basket, ceiling light" + ], + "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/96/5942004064/2718.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2718.json new file mode 100644 index 0000000000000000000000000000000000000000..be9ce2236b6097a3dcb03848b72266e17f81887d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2718.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2718, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: plant, basket, toilet, bed?", + "options": [ + "A. toilet, basket, bed, plant", + "B. bed, toilet, basket, plant", + "C. basket, toilet, plant, bed", + "D. plant, basket, toilet, bed" + ], + "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": { + "plant": 5, + "basket": 1, + "toilet": 3, + "bed": 7 + }, + "true_order_per_spatial_code": "basket, toilet, plant, bed", + "ground_truth_option_text": "toilet, basket, bed, plant", + "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/96/5942004064/2719.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2719.json new file mode 100644 index 0000000000000000000000000000000000000000..8fb7866e95869c3de8ec01262b314beb09738f1c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2719.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2719, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: blanket, door, basket, table?", + "options": [ + "A. door, table, basket, blanket", + "B. door, blanket, basket, table", + "C. blanket, door, basket, table", + "D. door, basket, blanket, table" + ], + "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": { + "blanket": 21, + "door": 0, + "basket": 1, + "table": 9 + }, + "true_order_per_spatial_code": "door, basket, table, blanket", + "ground_truth_option_text": "door, basket, blanket, 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/96/5942004064/2720.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2720.json new file mode 100644 index 0000000000000000000000000000000000000000..366d259b68abcf6fd31c56cd0a53df627af89680 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2720.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2720, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: ceiling light, bed, door, basket?", + "options": [ + "A. door, basket, ceiling light, bed", + "B. ceiling light, bed, door, basket", + "C. door, basket, bed, ceiling light", + "D. ceiling light, door, bed, basket" + ], + "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": { + "ceiling light": 6, + "bed": 7, + "door": 0, + "basket": 1 + }, + "true_order_per_spatial_code": "door, basket, ceiling light, bed", + "ground_truth_option_text": "door, basket, bed, ceiling light", + "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/96/5942004064/2721.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2721.json new file mode 100644 index 0000000000000000000000000000000000000000..41a67517050510f4096c7bf931cace6aab357d23 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2721.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2721, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: basket, bed, toilet, sofa?", + "options": [ + "A. sofa, basket, bed, toilet", + "B. basket, toilet, bed, sofa", + "C. basket, bed, toilet, sofa", + "D. toilet, basket, bed, sofa" + ], + "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": { + "basket": 1, + "bed": 7, + "toilet": 3, + "sofa": 17 + }, + "true_order_per_spatial_code": "basket, toilet, bed, sofa", + "ground_truth_option_text": "toilet, basket, bed, sofa", + "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/96/5942004064/2722.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2722.json new file mode 100644 index 0000000000000000000000000000000000000000..5cd8543d4cff604dcc387be5ed16a70f90e9fd2c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2722.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2722, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: plant, door, blanket, basket?", + "options": [ + "A. basket, door, blanket, plant", + "B. door, basket, blanket, plant", + "C. blanket, basket, door, plant", + "D. plant, door, blanket, basket" + ], + "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/96/5942004064/2723.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2723.json new file mode 100644 index 0000000000000000000000000000000000000000..b2a6ee4003250078e80d3ecfc53e592281e89a4e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2723.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2723, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: basket, ceiling light, bed, toilet?", + "options": [ + "A. basket, toilet, ceiling light, bed", + "B. ceiling light, toilet, basket, bed", + "C. toilet, basket, bed, ceiling light", + "D. basket, ceiling light, bed, toilet" + ], + "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": { + "basket": 1, + "ceiling light": 6, + "bed": 7, + "toilet": 3 + }, + "true_order_per_spatial_code": "basket, toilet, ceiling light, bed", + "ground_truth_option_text": "toilet, basket, bed, ceiling light", + "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/96/5942004064/2724.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2724.json new file mode 100644 index 0000000000000000000000000000000000000000..57676cb65b90e3e8fbd9b11980feff84496b9bc8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2724.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2724, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: door, basket, plant, bed?", + "options": [ + "A. door, basket, bed, plant", + "B. door, basket, plant, bed", + "C. door, plant, basket, bed", + "D. door, bed, basket, plant" + ], + "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, + "basket": 1, + "plant": 5, + "bed": 7 + }, + "true_order_per_spatial_code": "door, basket, plant, bed", + "ground_truth_option_text": "door, basket, bed, plant", + "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/96/5942004064/2725.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2725.json new file mode 100644 index 0000000000000000000000000000000000000000..38742b64f5331fe7a3726de55d82d61b8cc9b15d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2725.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2725, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: chair, toilet, blanket, basket?", + "options": [ + "A. chair, toilet, blanket, basket", + "B. toilet, basket, blanket, chair", + "C. blanket, chair, toilet, basket", + "D. blanket, toilet, basket, 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/96/5942004064/2726.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2726.json new file mode 100644 index 0000000000000000000000000000000000000000..89462215d6131185862123caa9f6072982bb0bc8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2726.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2726, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: toilet, tv, basket, bed?", + "options": [ + "A. toilet, basket, bed, tv", + "B. toilet, tv, bed, basket", + "C. toilet, tv, basket, bed", + "D. tv, bed, toilet, basket" + ], + "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/96/5942004064/2727.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2727.json new file mode 100644 index 0000000000000000000000000000000000000000..4ccd1540ada6489c9a4902f0dbb813077194b6f9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2727.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2727, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: chair, basket, bed, door?", + "options": [ + "A. door, bed, chair, basket", + "B. chair, basket, bed, door", + "C. door, basket, bed, chair", + "D. door, chair, bed, basket" + ], + "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/96/5942004064/2728.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2728.json new file mode 100644 index 0000000000000000000000000000000000000000..d874daa870f441611019ff7a841d2a0e55ffd31f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2728.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2728, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: basket, tv, pillow, door?", + "options": [ + "A. basket, tv, pillow, door", + "B. tv, pillow, door, basket", + "C. tv, door, basket, pillow", + "D. door, basket, pillow, tv" + ], + "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/96/5942004064/2729.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2729.json new file mode 100644 index 0000000000000000000000000000000000000000..faab33b420c9f586744feba62012a93bd280a3a0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2729.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2729, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: blanket, door, basket, sofa?", + "options": [ + "A. sofa, basket, door, blanket", + "B. sofa, door, blanket, basket", + "C. blanket, door, basket, sofa", + "D. door, basket, blanket, 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/96/5942004064/2730.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2730.json new file mode 100644 index 0000000000000000000000000000000000000000..43035fcdeabd3a9fb3e1511163b8f783995cbb88 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2730.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2730, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: toilet, blanket, table, basket?", + "options": [ + "A. toilet, table, blanket, basket", + "B. toilet, basket, blanket, table", + "C. table, blanket, basket, toilet", + "D. toilet, blanket, table, basket" + ], + "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/96/5942004064/2731.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2731.json new file mode 100644 index 0000000000000000000000000000000000000000..d3e78b2236ff34dfd7e9c6f51c3aa21f7045ab98 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2731.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2731, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: basket, toilet, blanket, tv?", + "options": [ + "A. toilet, basket, blanket, tv", + "B. toilet, blanket, basket, tv", + "C. basket, toilet, blanket, tv", + "D. toilet, basket, tv, blanket" + ], + "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": { + "basket": 1, + "toilet": 3, + "blanket": 21, + "tv": 16 + }, + "true_order_per_spatial_code": "basket, toilet, tv, blanket", + "ground_truth_option_text": "toilet, basket, blanket, tv", + "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/96/5942004064/2732.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2732.json new file mode 100644 index 0000000000000000000000000000000000000000..be1ee1fdc740fea19609b2217bd10994d5b0c6a6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2732.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2732, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: pillow, basket, table, toilet?", + "options": [ + "A. pillow, basket, table, toilet", + "B. toilet, table, pillow, basket", + "C. toilet, basket, pillow, table", + "D. table, pillow, basket, toilet" + ], + "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/96/5942004064/2733.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2733.json new file mode 100644 index 0000000000000000000000000000000000000000..9f4a3524fff14ec96b89cf1365aada9fe1633b16 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2733.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2733, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: pillow, door, sofa, basket?", + "options": [ + "A. basket, door, sofa, pillow", + "B. pillow, door, sofa, basket", + "C. door, basket, pillow, sofa", + "D. pillow, sofa, basket, 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/96/5942004064/2734.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2734.json new file mode 100644 index 0000000000000000000000000000000000000000..bbda7b11fde34e7d3b0c05adc1ed14ce00d344c3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2734.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2734, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: basket, plant, toilet, pillow?", + "options": [ + "A. plant, toilet, basket, pillow", + "B. toilet, basket, pillow, plant", + "C. basket, plant, toilet, pillow", + "D. pillow, plant, basket, toilet" + ], + "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": { + "basket": 1, + "plant": 5, + "toilet": 3, + "pillow": 10 + }, + "true_order_per_spatial_code": "basket, toilet, plant, pillow", + "ground_truth_option_text": "toilet, basket, pillow, plant", + "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/96/5942004064/2735.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2735.json new file mode 100644 index 0000000000000000000000000000000000000000..e1a953549c371948f5af4df0328efe01767fe086 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2735.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2735, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: blanket, basket, door, tv?", + "options": [ + "A. door, basket, blanket, tv", + "B. blanket, basket, door, tv", + "C. blanket, door, tv, basket", + "D. door, basket, tv, blanket" + ], + "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": { + "blanket": 21, + "basket": 1, + "door": 0, + "tv": 16 + }, + "true_order_per_spatial_code": "door, basket, tv, blanket", + "ground_truth_option_text": "door, basket, blanket, tv", + "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/96/5942004064/2736.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2736.json new file mode 100644 index 0000000000000000000000000000000000000000..e00fdb643fbb08fd549ddf66d6a18384b8400cb7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2736.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2736, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: sofa, door, basket, bed?", + "options": [ + "A. door, sofa, basket, bed", + "B. sofa, door, basket, bed", + "C. bed, sofa, door, basket", + "D. door, basket, bed, 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/96/5942004064/2737.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2737.json new file mode 100644 index 0000000000000000000000000000000000000000..3281465fef5d807e554d325812781152c8e8fed0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2737.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2737, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: basket, blanket, plant, toilet?", + "options": [ + "A. toilet, basket, blanket, plant", + "B. plant, basket, blanket, toilet", + "C. blanket, plant, basket, toilet", + "D. basket, blanket, plant, toilet" + ], + "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/96/5942004064/2738.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2738.json new file mode 100644 index 0000000000000000000000000000000000000000..ce5073a3f5e1b986739d8e23e090eb4a44e6e0a7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2738.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2738, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: basket, pillow, toilet, tv?", + "options": [ + "A. basket, pillow, toilet, tv", + "B. pillow, tv, toilet, basket", + "C. toilet, pillow, tv, basket", + "D. toilet, basket, pillow, tv" + ], + "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": { + "basket": 1, + "pillow": 10, + "toilet": 3, + "tv": 16 + }, + "true_order_per_spatial_code": "basket, toilet, pillow, tv", + "ground_truth_option_text": "toilet, basket, pillow, tv", + "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/96/5942004064/2739.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2739.json new file mode 100644 index 0000000000000000000000000000000000000000..7577abdc9200e009647e8732af27f586abf1171b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2739.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2739, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: toilet, pillow, basket, chair?", + "options": [ + "A. toilet, basket, chair, pillow", + "B. toilet, basket, pillow, chair", + "C. basket, chair, toilet, pillow", + "D. toilet, pillow, basket, chair" + ], + "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": { + "toilet": 3, + "pillow": 10, + "basket": 1, + "chair": 8 + }, + "true_order_per_spatial_code": "basket, toilet, chair, pillow", + "ground_truth_option_text": "toilet, basket, pillow, chair", + "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/96/5942004064/2740.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2740.json new file mode 100644 index 0000000000000000000000000000000000000000..361057170868885d9a01670216e4e6dad99719f6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2740.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2740, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: blanket, sofa, basket, toilet?", + "options": [ + "A. blanket, sofa, basket, toilet", + "B. basket, toilet, sofa, blanket", + "C. toilet, basket, blanket, sofa", + "D. toilet, blanket, basket, 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": { + "blanket": 21, + "sofa": 17, + "basket": 1, + "toilet": 3 + }, + "true_order_per_spatial_code": "basket, toilet, sofa, blanket", + "ground_truth_option_text": "toilet, basket, blanket, sofa", + "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/96/5942004064/2741.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2741.json new file mode 100644 index 0000000000000000000000000000000000000000..f8f948faee99a742a55f0dde2a4901cbef11eb22 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2741.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2741, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: blanket, chair, basket, door?", + "options": [ + "A. chair, basket, door, blanket", + "B. door, basket, blanket, chair", + "C. blanket, chair, basket, door", + "D. basket, door, blanket, 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/96/5942004064/2742.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2742.json new file mode 100644 index 0000000000000000000000000000000000000000..03e8f99d7cbbae7663c0ede5ffe254d941ed2fd7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2742.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2742, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: door, pillow, plant, basket?", + "options": [ + "A. door, basket, pillow, plant", + "B. door, plant, basket, pillow", + "C. door, pillow, plant, basket", + "D. plant, door, basket, pillow" + ], + "full_prompt": null, + "answer_expected": "A", + "answer_given": "A", + "answer_raw": "A", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2743.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2743.json new file mode 100644 index 0000000000000000000000000000000000000000..e188fb44acc3c5e2622ab63f30b6b547ccd0a586 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2743.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "5942004064", + "dataset": "scannetpp", + "question_id": 2743, + "question_type": "obj_appearance_order", + "question": "What will be the first-time appearance order of the following categories in the video: door, table, pillow, basket?", + "options": [ + "A. table, basket, pillow, door", + "B. door, table, pillow, basket", + "C. door, basket, pillow, table", + "D. pillow, door, table, basket" + ], + "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/96/5942004064/2744.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2744.json new file mode 100644 index 0000000000000000000000000000000000000000..49a92cba93587de26b6a70775b09e87f5060532e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/5942004064/2744.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": 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Track Persistence/96/a980334473/1573.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/a980334473/1573.json new file mode 100644 index 0000000000000000000000000000000000000000..ba0271c5517dba32c6550bb72f23f7c262cc6067 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/a980334473/1573.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "a980334473", + "dataset": "scannetpp", + "question_id": 1573, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the chair and facing the ceiling light, 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 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Representative Instances Using Track Persistence/96/bde1e479ad/1991.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "bde1e479ad", + "dataset": "scannetpp", + "question_id": 1991, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (whiteboard, ceiling light, power strip, door) is the closest to the clock?", + "options": [ + "A. whiteboard", + "B. ceiling light", + "C. power strip", + "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/96/bde1e479ad/1992.json 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/1996.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/1996.json new file mode 100644 index 0000000000000000000000000000000000000000..679cbfb390a37e163880996fcc7074a14e909e87 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/1996.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "bde1e479ad", + "dataset": "scannetpp", + "question_id": 1996, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (chair, ceiling light, table, power strip) is the closest to the clock?", + "options": [ + "A. chair", + "B. ceiling light", + "C. table", + "D. power strip" + ], + "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/96/bde1e479ad/1997.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/1997.json new file mode 100644 index 0000000000000000000000000000000000000000..b147ab6622c9db4e1a6955bf93a2f57643fbd2ed --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/1997.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "bde1e479ad", + "dataset": "scannetpp", + "question_id": 1997, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, whiteboard, ceiling light, power strip) is the closest to the clock?", + "options": [ + "A. table", + "B. whiteboard", + "C. ceiling light", + "D. power strip" + ], + "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/96/bde1e479ad/1998.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/1998.json new file mode 100644 index 0000000000000000000000000000000000000000..24b3a82dc9c820b46fcdafc11aa92e72c9f34ebe --- /dev/null +++ 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whiteboard", + "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/96/bde1e479ad/2000.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2000.json new file mode 100644 index 0000000000000000000000000000000000000000..44d2b87607902ecbad38222786098c50d4d24a19 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2000.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "bde1e479ad", + "dataset": "scannetpp", + "question_id": 2000, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (heater, power strip, table, chair) is the closest to the clock?", + "options": [ + "A. heater", + "B. power strip", + "C. table", + "D. chair" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "C", + "answer_raw": "C", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2001.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2001.json new file mode 100644 index 0000000000000000000000000000000000000000..45bb76beb1762b21a82e496b112048d4620a18c6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2001.json @@ -0,0 +1,25 @@ 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2003.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2003.json new file mode 100644 index 0000000000000000000000000000000000000000..2d063e9adfa6054fee2ff450966988ddf7dc2a63 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2003.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "bde1e479ad", + "dataset": "scannetpp", + "question_id": 2003, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (door, power strip, heater, 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"tracking": "tracking", + "number_of_frames": 96, + "scene": "bde1e479ad", + "dataset": "scannetpp", + "question_id": 2004, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, ceiling light, heater, chair) is the closest to the clock?", + "options": [ + "A. table", + "B. ceiling light", + "C. heater", + "D. chair" + ], + "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/96/bde1e479ad/2005.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2005.json new file mode 100644 index 0000000000000000000000000000000000000000..98589fd2fc4945493adc29d5b63ab782b62e6ff2 --- /dev/null +++ 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light", + "D. door" + ], + "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/96/bde1e479ad/2007.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2007.json new file mode 100644 index 0000000000000000000000000000000000000000..7c35ed6dd43554dff3fd851eb1f14a31e46b6cda --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2007.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "bde1e479ad", + "dataset": "scannetpp", + 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2558.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2558.json new file mode 100644 index 0000000000000000000000000000000000000000..9bcb7a7f17ab26e715e17d514657173c5783fc0d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2558.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "bde1e479ad", + "dataset": "scannetpp", + "question_id": 2558, + "question_type": "object_counting", + "question": "How many chair(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "47", + "answer_given": "51", + "answer_raw": "51", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2560.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2560.json new file mode 100644 index 0000000000000000000000000000000000000000..258a9cc7f1c2f9bbc8d3d06faf4ccd46cd908a96 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2560.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "bde1e479ad", + "dataset": "scannetpp", + "question_id": 2560, + "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/96/bde1e479ad/2561.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2561.json new file mode 100644 index 0000000000000000000000000000000000000000..e8222a4b63fee81f504f87c66d9df6510372e9a3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2561.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "bde1e479ad", + "dataset": "scannetpp", + "question_id": 2561, + "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/96/bde1e479ad/2562.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2562.json new file mode 100644 index 0000000000000000000000000000000000000000..16d6c9362cab1426777bdfbf5dc8f61ee2afd89f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2562.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "bde1e479ad", + "dataset": "scannetpp", + "question_id": 2562, + "question_type": "object_counting", + "question": "How many power strip(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/96/bde1e479ad/2677.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2677.json new file mode 100644 index 0000000000000000000000000000000000000000..368800a9ff97a933fac172653d30e7ac83bdd996 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/bde1e479ad/2677.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + 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You want to navigate to the hand soap. 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 desk row closest to the whiteboard. 2. [please fill in] 3. Go forward until the door. 4. [please fill in] 5. Go forward until the hand soap. You have reached the final destination.", + "options": [ + "A. Turn Right, Turn Left", + "B. Turn Right, Turn Right", + "C. Turn Left, Turn Left", + "D. 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"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/96/e398684d27/2454.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/e398684d27/2454.json new file mode 100644 index 0000000000000000000000000000000000000000..b9651771bb1bd9901b17776f94f0a15a939055a0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/e398684d27/2454.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "e398684d27", + "dataset": "scannetpp", + "question_id": 2454, + "question_type": 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b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/e398684d27/2684.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "e398684d27", + "dataset": "scannetpp", + "question_id": 2684, + "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": "8.3", + "answer_given": "14.1", + "answer_raw": "14.1", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/e398684d27/_aggregate.json 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Instances Using Track Persistence/96/f9f95681fd/1550.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1550.json new file mode 100644 index 0000000000000000000000000000000000000000..44e5390bee3bcf49cb0d2d9f76b34a98235d5f1c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1550.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 1550, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the ceiling light and facing the refrigerator, 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. 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/96/f9f95681fd/1551.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1551.json new file mode 100644 index 0000000000000000000000000000000000000000..f2719abe760ffb7e76d41d4f4db8025e3628b297 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1551.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 1551, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the ceiling light and facing the kettle, is the refrigerator 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": "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/96/f9f95681fd/1552.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1552.json new file mode 100644 index 0000000000000000000000000000000000000000..00a2c659e084a4d6f6c66bd0519bd4c01d678cee --- /dev/null +++ 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Instances Using Track Persistence/96/f9f95681fd/1671.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1671.json new file mode 100644 index 0000000000000000000000000000000000000000..d5e53cd49dc5835e59b5c582750863cdb7624ca9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1671.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "1.1", + "answer_raw": "1.1", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1672.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1672.json new file mode 100644 index 0000000000000000000000000000000000000000..524e6a359ca024d8037e99bb655343236e8f5eb5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1672.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 1672, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the microwave and the ceiling light (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.3", + "answer_given": "1.22", + "answer_raw": "1.22", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1673.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1673.json new file mode 100644 index 0000000000000000000000000000000000000000..14a801ecac43aab1ac84b16fb925ce55b3a7e016 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1673.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 1673, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the microwave and the door (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.4", + "answer_given": "0.23", + "answer_raw": "0.23", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1674.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1674.json new file mode 100644 index 0000000000000000000000000000000000000000..d668197abea7bc1e2fea906c4efd0e8ed32d4c59 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1674.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 1674, + "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": "1.3", + "answer_given": "1.53", + "answer_raw": "1.53", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1675.json b/experiments/results/symbolic/metric/tracking/uniform/Select 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--git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1676.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1676.json new file mode 100644 index 0000000000000000000000000000000000000000..2487d3010572e820790f1a6df3d965855898564e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1676.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "0.45", + "answer_raw": "0.45", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1677.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1677.json new file mode 100644 index 0000000000000000000000000000000000000000..760e7feab007353c52ae03fed2df7d4c2533768d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1677.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 1677, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the kettle and the microwave (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.5", + "answer_given": "1.45", + "answer_raw": "1.45", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1845.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1845.json new file mode 100644 index 0000000000000000000000000000000000000000..db841ba5210fe8022e25bd2e1a6698ac1f297835 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1845.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/96/f9f95681fd/1846.json new file mode 100644 index 0000000000000000000000000000000000000000..8a717ae782799577327fe0b47ab62a1044fe3431 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1846.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 1846, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the door and facing the kettle, 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. back-left", + "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/96/f9f95681fd/1847.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1847.json new file mode 100644 index 0000000000000000000000000000000000000000..b63d35f27e8760baf8f2d1e55fdbb0d01e8f4105 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1847.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/f9f95681fd/1848.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1848.json new file mode 100644 index 0000000000000000000000000000000000000000..adfd1941268c3851f698d6f9d99c37d60193da7a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1848.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/f9f95681fd/1849.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1849.json new file mode 100644 index 0000000000000000000000000000000000000000..1a1e2dc2ba336eaa9046c2d9183d6129eb478063 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1849.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 1849, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the ceiling light and facing the kettle, is the door to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-right", + "B. back-left", + "C. front-right", + "D. front-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/96/f9f95681fd/1850.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1850.json new file mode 100644 index 0000000000000000000000000000000000000000..2f48fcb971340cd9ce68109d36445063e33df593 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/1850.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/f9f95681fd/2026.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/2026.json new file mode 100644 index 0000000000000000000000000000000000000000..4e47d74dfbe9eb5ccd3ca628d8e7c6254ae78d46 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/2026.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "f9f95681fd", + "dataset": "scannetpp", + "question_id": 2026, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (door, microwave, cup, exhaust fan) is the closest to the ceiling light?", + "options": [ + "A. door", + "B. microwave", + "C. cup", + "D. exhaust fan" + ], + "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/96/f9f95681fd/2258.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/2258.json new file mode 100644 index 0000000000000000000000000000000000000000..32e5e3cb77805c6aeb4b955832b3453a0635a309 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/2258.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": 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Persistence/96/f9f95681fd/2259.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "129.0", + "answer_raw": "129.0", + "score": 0.3 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/2260.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/f9f95681fd/2260.json new file mode 100644 index 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diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1523.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1523.json new file mode 100644 index 0000000000000000000000000000000000000000..ccc5320b96a9216545e1254a64f083c391ee9452 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1523.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1523, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the sofa and facing the telephone, is the power strip 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/96/fb5a96b1a2/1524.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1524.json new file mode 100644 index 0000000000000000000000000000000000000000..3c82c333a5ed48d57ba9fd2ecb4643faa25f6452 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1524.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": 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diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1526.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1526.json new file mode 100644 index 0000000000000000000000000000000000000000..412afda51bd586a75d3acdf0e5e356141b6813ae --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1526.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1526, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the telephone and facing the sofa, is the computer mouse 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/96/fb5a96b1a2/1622.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1622.json new file mode 100644 index 0000000000000000000000000000000000000000..82bf6ccb555009bf201f09cbbe54eec7b3a4f8dc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1622.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1622, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the heater and the sofa (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "4.7", + "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/96/fb5a96b1a2/1623.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1623.json new file mode 100644 index 0000000000000000000000000000000000000000..d54445c04d3d67f511aa8063e32ab005baf1913a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1623.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1623, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the bookshelf and the sofa (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "4.4", + "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/96/fb5a96b1a2/1624.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1624.json new file mode 100644 index 0000000000000000000000000000000000000000..16a598d9a1ec822dc7dbbfaca99875faf2d36231 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1624.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1624, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the computer mouse and the sofa (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.2", + "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/96/fb5a96b1a2/1625.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1625.json new file mode 100644 index 0000000000000000000000000000000000000000..07fb8089c63a220f2831a2464432baa145839c4c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1625.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1625, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the telephone and the power strip (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.0", + "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/96/fb5a96b1a2/1626.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1626.json new file mode 100644 index 0000000000000000000000000000000000000000..d887807ad9f1b868ce8f6650a3532d0aac2c2fcb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1626.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1626, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the power strip and the sofa (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.4", + "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/96/fb5a96b1a2/1627.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1627.json new file mode 100644 index 0000000000000000000000000000000000000000..589819d2d4cc108422bd185ae408fff0dc4dcf41 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1627.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1627, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the heater and the bookshelf (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "4.0", + "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/96/fb5a96b1a2/1628.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1628.json new file mode 100644 index 0000000000000000000000000000000000000000..d9f4d1fe89499f5428c78636bede95e5e48e3bb1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1628.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1628, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the power strip and the bookshelf (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "5.6", + "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/96/fb5a96b1a2/1826.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1826.json new file mode 100644 index 0000000000000000000000000000000000000000..13dbef113997f09ac5fa8452f34981bb67238e59 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1826.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1826, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the sofa and facing the heater, is the computer mouse to my front-left, front-right, back-left, or back-right?\nThe directions refer to the quadrants of a Cartesian plane (if I am standing at the origin and facing along the positive y-axis).", + "options": [ + "A. back-left", + "B. front-left", + "C. back-right", + "D. front-right" + ], + "full_prompt": null, + "answer_expected": "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/96/fb5a96b1a2/1827.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1827.json new file mode 100644 index 0000000000000000000000000000000000000000..10530b13860db934185ec911ed359d5cb4adb676 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1827.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1827, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the sofa and facing the computer mouse, is the heater 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/96/fb5a96b1a2/1828.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1828.json new file mode 100644 index 0000000000000000000000000000000000000000..9afb76ea4bd4031a39d1f4fa887d46e819b8cec9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1828.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/fb5a96b1a2/1829.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1829.json new file mode 100644 index 0000000000000000000000000000000000000000..9df624f24c877df8d7616ed94097736abfb54454 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1829.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1829, + "question_type": "object_rel_direction_hard", + "question": "If I am standing by the sofa and facing the power strip, 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. front-right", + "B. back-left", + "C. front-left", + "D. back-right" + ], + "full_prompt": null, + "answer_expected": "D", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1830.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1830.json new file mode 100644 index 0000000000000000000000000000000000000000..6675d34df7ab94cee3b288f81660f2001834acb3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1830.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/fb5a96b1a2/1831.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1831.json new file mode 100644 index 0000000000000000000000000000000000000000..e31bd66029f56620e9cf01f3feecc858a456e648 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1831.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/fb5a96b1a2/1942.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1942.json new file mode 100644 index 0000000000000000000000000000000000000000..e9a4d77bf849386bc3d0749dd1ad0fb8beeb7e69 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1942.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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 Persistence/96/fb5a96b1a2/1943.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1943.json new file mode 100644 index 0000000000000000000000000000000000000000..dfa35af11291e14c6dae273c78728f6b9e9b2326 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1943.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1943, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (table, sofa, whiteboard, computer mouse) is the closest to the bookshelf?", + "options": [ + "A. table", + "B. sofa", + "C. 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/96/fb5a96b1a2/1944.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1944.json new file mode 100644 index 0000000000000000000000000000000000000000..e21633555015cb16538b052f1671c7ebfa4e89ee --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1944.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "", + "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/96/fb5a96b1a2/1945.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1945.json new file mode 100644 index 0000000000000000000000000000000000000000..0580234e478cd482f6fffe670f1fa39090b3dbd6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1945.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/fb5a96b1a2/1946.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1946.json new file mode 100644 index 0000000000000000000000000000000000000000..4a49168acb1b0f2e30a8a14c193291607fedfaab --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1946.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/fb5a96b1a2/1947.json b/experiments/results/symbolic/metric/tracking/uniform/Select 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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/96/fb5a96b1a2/1948.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1948.json new file mode 100644 index 0000000000000000000000000000000000000000..23fc52940c5f48d9bb0ddf00c9154669d760887e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1948.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 1948, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (sofa, power strip, heater, computer mouse) is the closest to the bookshelf?", + "options": [ + "A. sofa", + "B. power strip", + "C. heater", + "D. computer mouse" + ], + "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/96/fb5a96b1a2/1949.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1949.json new file mode 100644 index 0000000000000000000000000000000000000000..b5f5e7204ca05b8bc51a1fe011adbe0fc6f650b2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/1949.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": 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0000000000000000000000000000000000000000..cfb6ab20be67fe7b0a1eaf0464db9f67895789b6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/2212.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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 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"answer_given": "112.0", + "answer_raw": "112.0", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/2214.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/2214.json new file mode 100644 index 0000000000000000000000000000000000000000..8f406e04cdb36ea3b2265cb49ac76ea0f72db572 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/2214.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 2214, + "question_type": "object_size_estimation", + 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Persistence/96/fb5a96b1a2/2216.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 2216, + "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": "45", + "answer_given": "22.0", + "answer_raw": "22.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/2217.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/2217.json new file mode 100644 index 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diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/2515.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/2515.json new file mode 100644 index 0000000000000000000000000000000000000000..fd473a4313f135dadafabd93461ccb64938f0253 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/2515.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "28", + "answer_raw": "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/96/fb5a96b1a2/2516.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/2516.json new file mode 100644 index 0000000000000000000000000000000000000000..4463a82d5d3a12e10418662268c5a4b0cea20274 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/2516.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "fb5a96b1a2", + "dataset": "scannetpp", + "question_id": 2516, + "question_type": 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"number_of_frames": 96, + "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/96/fb5a96b1a2/2667.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/2667.json new file mode 100644 index 0000000000000000000000000000000000000000..ee6a69d864f2b24d6c5f07cc82b42766f15ec051 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/2667.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + 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b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/4962.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/fb5a96b1a2/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..30a68a4e55bbe9cfae591048388e1f399a71d3f4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/fb5a96b1a2/_aggregate.json @@ -0,0 +1,15 @@ +{ + "scene_id": "fb5a96b1a2", + "aggregate": { + "overall": 24.047619047619047, + "object_counting_MRA:.5:.95:.05": 27.500000000000004, + "object_abs_distance_MRA:.5:.95:.05": 0.0, + "object_size_estimation_MRA:.5:.95:.05": 3.3333333333333335, + 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b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/3143.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0030_02/3457.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/3457.json new file mode 100644 index 0000000000000000000000000000000000000000..1ddcc611b5eb9bb1f0fd2b22d46cc489cc2a67cd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/3457.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0030_02/3458.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/3458.json new file mode 100644 index 0000000000000000000000000000000000000000..139f0917c1f6bb3bd821d344962b5e745a2fabec --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/3458.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0030_02", + "dataset": "scannet", + "question_id": 3458, + "question_type": "object_size_estimation", + "question": "What is the length of the longest 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+1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "31.9", + "answer_raw": "31.9", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/4152.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/4152.json new file mode 100644 index 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"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/96/scene0030_02/4153.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/4153.json new file mode 100644 index 0000000000000000000000000000000000000000..3c87dd4dec4848a1a599bf6e0295d78f0e7a6b87 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/4153.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0030_02", + "dataset": "scannet", + "question_id": 4153, + "question_type": "obj_appearance_order", + "question": "What will be the first-time 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"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/96/scene0030_02/4548.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/4548.json new file mode 100644 index 0000000000000000000000000000000000000000..164cf1d91836ac0c2d8b73de8659b4de935ddabb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/4548.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0030_02", + "dataset": "scannet", + "question_id": 4548, + 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+ "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0030_02", + "dataset": "scannet", + "question_id": 4550, + "question_type": "object_counting", + "question": "How many bookshelf(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/96/scene0030_02/4551.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/4551.json new file mode 100644 index 0000000000000000000000000000000000000000..07cb99011a090acdf1053ff093d532a53cc85e41 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/4551.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0030_02", + "dataset": "scannet", + "question_id": 4551, + "question_type": "object_counting", + "question": "How many table(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "7", + "answer_given": "5", + "answer_raw": "5", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/4860.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/4860.json new file mode 100644 index 0000000000000000000000000000000000000000..ff8ce0257c135c09dfa27372ae452197930f740c --- 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"5.32", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/4862.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/4862.json new file mode 100644 index 0000000000000000000000000000000000000000..76f11f207ac957f69b7bb65fb5bd8126c5543e40 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/4862.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0030_02", + "dataset": "scannet", + "question_id": 4862, + "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": "0.7", + "answer_given": "0.84", + "answer_raw": "0.84", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..6931acab8629866683893aff03320e08aaff6fe8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0030_02/_aggregate.json @@ -0,0 +1,14 @@ +{ + "scene_id": "scene0030_02", + "aggregate": { + "overall": 77.08333333333334, + "object_counting_MRA:.5:.95:.05": 42.5, + 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--- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/3483.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0095_01", + "dataset": "scannet", + "question_id": 3483, + "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": "113", + "answer_given": "112.0", + "answer_raw": "112.0", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/3484.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/3484.json new file mode 100644 index 0000000000000000000000000000000000000000..3ce07af8f0ec5e5975a5781998452df6e8821266 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/3484.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0095_01", + "dataset": "scannet", + "question_id": 3484, + "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": "69", + "answer_given": "64.0", + "answer_raw": "64.0", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/3485.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/3485.json new file mode 100644 index 0000000000000000000000000000000000000000..9202facb4a6c897cd8201288030936575809e040 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/3485.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0095_01", + "dataset": "scannet", + "question_id": 3485, + "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": "437", + "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/96/scene0095_01/3832.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/3832.json new file mode 100644 index 0000000000000000000000000000000000000000..d500ebde2bb7b2164325334744cf3e4f25c34c27 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/3832.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0095_01", + "dataset": "scannet", + "question_id": 3832, + "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": "24.7", + "answer_given": "7.1", + "answer_raw": "7.1", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/4566.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/4566.json new file mode 100644 index 0000000000000000000000000000000000000000..a480f7f38220383438e91ac1060ec75c0921e07a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/4566.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0095_01", + "dataset": "scannet", + "question_id": 4566, + "question_type": "object_counting", + "question": "How many chair(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "17", + "answer_given": "9", + "answer_raw": "9", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/4567.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/4567.json new file mode 100644 index 0000000000000000000000000000000000000000..5be974c762787932760b6dfedf887385d5385aff --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/4567.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0095_01", + "dataset": "scannet", + "question_id": 4567, + "question_type": "object_counting", + "question": "How many monitor(s) are in this room?", + "options": null, + "full_prompt": null, + "answer_expected": "10", + "answer_given": "13", + "answer_raw": "13", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/4883.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/4883.json new file mode 100644 index 0000000000000000000000000000000000000000..7995ead4dc9ff33f4a4aae4fb1ef6a88e7dc5d02 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/4883.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "1.08", + "answer_raw": "1.08", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..df277acb513df6481eb655fcae36777c753adc90 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0095_01/_aggregate.json @@ -0,0 +1,12 @@ +{ + "scene_id": "scene0095_01", + "aggregate": { + "overall": 23.333333333333332, + "object_counting_MRA:.5:.95:.05": 30.0, + "object_abs_distance_MRA:.5:.95:.05": 0.0, + "object_size_estimation_MRA:.5:.95:.05": 63.33333333333333, + "room_size_estimation_MRA:.5:.95:.05": 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", + "tabulated_results": "23.333, 30.000, 0.000, 63.333, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3166.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3166.json new file mode 100644 index 0000000000000000000000000000000000000000..8d5a3870fd747cc9936ba4123cff55e0e9667c2b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3166.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0164_02", + "dataset": "scannet", + "question_id": 3166, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (counter, towel, microwave, refrigerator) is the closest to the backpack?", + "options": [ + "A. counter", + "B. towel", + "C. microwave", + "D. refrigerator" + ], + "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/96/scene0164_02/3167.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3167.json new file mode 100644 index 0000000000000000000000000000000000000000..9e2104c0261da9dcd0cf1bd6ffaa5e86b65e564c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3167.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0164_02", + "dataset": "scannet", + "question_id": 3167, + "question_type": "object_rel_distance", + "question": "Measuring from the closest point of each object, which of these objects (backpack, refrigerator, door, towel) is the closest to the microwave?", + "options": [ + "A. backpack", + "B. refrigerator", + "C. door", + "D. towel" + ], + "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/96/scene0164_02/3510.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3510.json new file mode 100644 index 0000000000000000000000000000000000000000..2ebdc9e57a095cd62b7f300533c1a6e9d8f8da3b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3510.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0164_02", + "dataset": "scannet", + "question_id": 3510, + "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": "286", + "answer_given": "125.0", + "answer_raw": "125.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3511.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3511.json new file mode 100644 index 0000000000000000000000000000000000000000..0f74472a0a6c8ef54119f6d28e3d14055fc46039 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3511.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0164_02", + "dataset": "scannet", + "question_id": 3511, + "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": "155", + "answer_given": "127.0", + "answer_raw": "127.0", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3512.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3512.json new file mode 100644 index 0000000000000000000000000000000000000000..7cb72addcc7355b8d6f75b6ab625fc3a4df7d94f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3512.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "40.0", + "answer_raw": "40.0", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3513.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3513.json new file mode 100644 index 0000000000000000000000000000000000000000..2b3e1d782f19c7b57869df3b47969adc636aa748 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3513.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "42.0", + "answer_raw": "42.0", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3514.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3514.json new file mode 100644 index 0000000000000000000000000000000000000000..1c85897dce9545febb0a9c4ec1b5260d7bbebe4c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3514.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "52.0", + "answer_raw": "52.0", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3515.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3515.json new file mode 100644 index 0000000000000000000000000000000000000000..348a4b573900a2a24b65c5d970228bc606e96fe8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3515.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "68.0", + "answer_raw": "68.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3674.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3674.json new file mode 100644 index 0000000000000000000000000000000000000000..aa0579569159285733a31400bdc3174133c57d5d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3674.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0164_02/3675.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3675.json new file mode 100644 index 0000000000000000000000000000000000000000..964d87b80e06b3f2f7e55bd284a74780c0710498 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3675.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0164_02/3676.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3676.json new file mode 100644 index 0000000000000000000000000000000000000000..8f7e3634bc645be348b7179b0ecfdd787adbbebc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3676.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0164_02/3677.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3677.json new file mode 100644 index 0000000000000000000000000000000000000000..b7b4643c2d99e5cebdd169ebdf9e9659b9afc891 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3677.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0164_02/3678.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3678.json new file mode 100644 index 0000000000000000000000000000000000000000..850882c75e032d19cc04d12e01631687d8a60fd6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3678.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0164_02/3679.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3679.json new file mode 100644 index 0000000000000000000000000000000000000000..6f3828e1505f21f9709766e54e51f32a7b70f95f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3679.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0164_02/3838.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3838.json new file mode 100644 index 0000000000000000000000000000000000000000..0b456e2b0c48ab04b67670722e542978afd4c8aa --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/3838.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "6.6", + "answer_raw": "6.6", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4179.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4179.json new file mode 100644 index 0000000000000000000000000000000000000000..27969d4d599c59da576876c4b0807391a944a187 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4179.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": 5, + "backpack": 6, + "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/96/scene0164_02/4180.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4180.json new file mode 100644 index 0000000000000000000000000000000000000000..b2f425393ecfee72b3af94a04919b6270d86bd20 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4180.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": 5, + "backpack": 6, + "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/96/scene0164_02/4181.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4181.json new file mode 100644 index 0000000000000000000000000000000000000000..eefe6b7ef45a5c569b070630c2ad1383ea1714fd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4181.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": 5, + "counter": 4, + "backpack": 6 + }, + "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/96/scene0164_02/4182.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4182.json new file mode 100644 index 0000000000000000000000000000000000000000..6715fac4f5a13954fa3ecae1327268de07f48ff9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4182.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": 5, + "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/96/scene0164_02/4183.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4183.json new file mode 100644 index 0000000000000000000000000000000000000000..3d7983fc4ef6eff46615fcb7b5e34edf0f66af69 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4183.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "C", + "answer_raw": "C", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "door": 0, + "counter": 4, + "refrigerator": 5, + "microwave": 3 + }, + "true_order_per_spatial_code": "door, microwave, counter, 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/96/scene0164_02/4184.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4184.json new file mode 100644 index 0000000000000000000000000000000000000000..42785f71050f8c0eeec78e090a96d821770670b6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4184.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": 4, + "backpack": 6 + }, + "true_order_per_spatial_code": "door, microwave, counter, 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/96/scene0164_02/4185.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4185.json new file mode 100644 index 0000000000000000000000000000000000000000..563bf9920e051416623abbb1981c70a651acfd83 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4185.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0164_02/4186.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4186.json new file mode 100644 index 0000000000000000000000000000000000000000..f0e37a27442dacb2d4a85c42d8859bacc6af9092 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4186.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0164_02/4187.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4187.json new file mode 100644 index 0000000000000000000000000000000000000000..188849f082cc6124c49274b0d392f391ec0b5021 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4187.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": 6, + "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/96/scene0164_02/4909.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4909.json new file mode 100644 index 0000000000000000000000000000000000000000..89b1f8281b8950a8790cf0b02fcc71ee29ac8b57 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4909.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "0.61", + "answer_raw": "0.61", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4910.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4910.json new file mode 100644 index 0000000000000000000000000000000000000000..6b5a8360b1699cba473ec4eeaf8fdcaf78a9c2a0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4910.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "3.11", + "answer_raw": "3.11", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4911.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4911.json new file mode 100644 index 0000000000000000000000000000000000000000..407420bfc2502cefa086b0605f99425e5de73edd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4911.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "2.11", + "answer_raw": "2.11", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4912.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4912.json new file mode 100644 index 0000000000000000000000000000000000000000..fd8977172a5f9ed26d55f0779d1aace30941f28d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4912.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "0.77", + "answer_raw": "0.77", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4913.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4913.json new file mode 100644 index 0000000000000000000000000000000000000000..7b67a95f3647743f7c113814c06273a2ca10257b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4913.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "1.69", + "answer_raw": "1.69", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4914.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4914.json new file mode 100644 index 0000000000000000000000000000000000000000..82451ff7cd632c2d8d60601e39b525e9822319ec --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4914.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "0.14", + "answer_raw": "0.14", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4915.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4915.json new file mode 100644 index 0000000000000000000000000000000000000000..c6871e507630c1bf9f8e738db1f8511371ec8e7f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/4915.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "1.96", + "answer_raw": "1.96", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..77071281e764f63548fc3bb3680867c8a5ecf68f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0164_02/_aggregate.json @@ -0,0 +1,14 @@ +{ + "scene_id": "scene0164_02", + "aggregate": { + "overall": 46.56084656084656, + "object_abs_distance_MRA:.5:.95:.05": 57.14285714285714, + "object_size_estimation_MRA:.5:.95:.05": 56.666666666666664, + "room_size_estimation_MRA:.5:.95:.05": 60.0, + "object_rel_distance_accuracy": 50.0, + "object_rel_direction_accuracy": 33.33333333333333, + "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": "46.561, 57.143, 56.667, 60.000, 50.000, 33.333, 22.222" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3169.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3169.json new file mode 100644 index 0000000000000000000000000000000000000000..03a6a9a0012f550c7f35c90f6354f10772cea8bb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3169.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/3170.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3170.json new file mode 100644 index 0000000000000000000000000000000000000000..d006f2eb95f1a064f9cfa4c82c6ed2654d3ddbfc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3170.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/3171.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3171.json new file mode 100644 index 0000000000000000000000000000000000000000..96713f89e6596cb81fe87f9b75613bb6b885a1c7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3171.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/3172.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3172.json new file mode 100644 index 0000000000000000000000000000000000000000..db0fb710a53e6959ddb9d592b4bcdc9981ea6a28 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3172.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/3173.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3173.json new file mode 100644 index 0000000000000000000000000000000000000000..c47eb746961d3e58b5e5e59f3bfcfbde1027cfa9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3173.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0207_02/3174.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3174.json new file mode 100644 index 0000000000000000000000000000000000000000..9cb48992653eee7f34ad654314ff519290c02b3e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3174.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/3175.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3175.json new file mode 100644 index 0000000000000000000000000000000000000000..0680a44b405bbfcb041de69f37c4ba1d30527ed9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3175.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/3176.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3176.json new file mode 100644 index 0000000000000000000000000000000000000000..eb2732e7350c1844a1d7515c1851664acb411ab5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3176.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/3177.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3177.json new file mode 100644 index 0000000000000000000000000000000000000000..a08137af48ed4a107c1e61c0367ef57de18f528f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3177.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/3178.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3178.json new file mode 100644 index 0000000000000000000000000000000000000000..333ca39a7f858ca8bc6e94e4d554e78c0496aa57 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3178.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/3179.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3179.json new file mode 100644 index 0000000000000000000000000000000000000000..1c026eb4d5340b6ab44e27dd75d2374a2bf84613 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3179.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0207_02/3180.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3180.json new file mode 100644 index 0000000000000000000000000000000000000000..d6faa0d2c5deb579ee64bfc0ca128fdddb4880bd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3180.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/3181.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3181.json new file mode 100644 index 0000000000000000000000000000000000000000..462691c004b937e9c457008a83ed78333ef5cc68 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3181.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/3529.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3529.json new file mode 100644 index 0000000000000000000000000000000000000000..a3d8e6d2ea52ada2bc0f12934f573e79cec0659b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3529.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "156.0", + "answer_raw": "156.0", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3530.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3530.json new file mode 100644 index 0000000000000000000000000000000000000000..26dd618baca591cac4cb51ce7f241d9a05778fdc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3530.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "75.0", + "answer_raw": "75.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3531.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3531.json new file mode 100644 index 0000000000000000000000000000000000000000..8ac62f27f60eee610d751f6055ce9acd38730dec --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3531.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "157.0", + "answer_raw": "157.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3532.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3532.json new file mode 100644 index 0000000000000000000000000000000000000000..796a8ef550d7b6a2a3faf1440f320f49c8a20f51 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3532.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "69.0", + "answer_raw": "69.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3533.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3533.json new file mode 100644 index 0000000000000000000000000000000000000000..74035aac741c204395d30b7963c22d8f59b01d1a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3533.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "132.0", + "answer_raw": "132.0", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3534.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3534.json new file mode 100644 index 0000000000000000000000000000000000000000..f9477f82f134af69fd85007bba2041bf70e53b48 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3534.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "58.0", + "answer_raw": "58.0", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3535.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3535.json new file mode 100644 index 0000000000000000000000000000000000000000..395ca5f87868096068a35bfae526743b91f102e8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3535.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "37.0", + "answer_raw": "37.0", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3536.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3536.json new file mode 100644 index 0000000000000000000000000000000000000000..c8eae16e6acff1421f1694706ad7a60af80e9abc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3536.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "35.0", + "answer_raw": "35.0", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3537.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3537.json new file mode 100644 index 0000000000000000000000000000000000000000..02ba66f40a28e867508341e3f71a59fab304e9b6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3537.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "51.0", + "answer_raw": "51.0", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3538.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3538.json new file mode 100644 index 0000000000000000000000000000000000000000..101b820e252617b228440d5ea84cb64121b79a97 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3538.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "181.0", + "answer_raw": "181.0", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3539.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3539.json new file mode 100644 index 0000000000000000000000000000000000000000..0b01e5921708e14d90a00fc06c1ed067e3429e93 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3539.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "33.0", + "answer_raw": "33.0", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3540.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3540.json new file mode 100644 index 0000000000000000000000000000000000000000..8dac46ea047e5074ce67808b9d4f40808a26cfc8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3540.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "93.0", + "answer_raw": "93.0", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3541.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3541.json new file mode 100644 index 0000000000000000000000000000000000000000..9b1fb0637f3968c9a168a21e6348482a69306c1a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3541.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/3542.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3542.json new file mode 100644 index 0000000000000000000000000000000000000000..b63abdaffd8a37cae2f86929d5e1b8a0ccb9e13f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3542.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/3683.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3683.json new file mode 100644 index 0000000000000000000000000000000000000000..d6288623f29b4f121d89c6ff623ffefcddc81925 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3683.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/3684.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3684.json new file mode 100644 index 0000000000000000000000000000000000000000..8e669b97e9d877a651c13397ba852b9136a84e6b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3684.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/3843.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3843.json new file mode 100644 index 0000000000000000000000000000000000000000..92461bc9d420c3956373eaf743ca5a898e286bac --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/3843.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "28.4", + "answer_raw": "28.4", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4188.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4188.json new file mode 100644 index 0000000000000000000000000000000000000000..88758682683650dbccafa28f707942adef304790 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4188.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4189.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4189.json new file mode 100644 index 0000000000000000000000000000000000000000..73fb8e99688f32d6d5ae31a7ccba1dc81393b7ba --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4189.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4190.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4190.json new file mode 100644 index 0000000000000000000000000000000000000000..84b16d3d8c1beddbce844e86da32d7afcd7fd387 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4190.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": 15, + "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/96/scene0207_02/4191.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4191.json new file mode 100644 index 0000000000000000000000000000000000000000..e4f1535533265039da97ccc139e3cfbeb165a982 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4191.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": 6, + "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/96/scene0207_02/4192.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4192.json new file mode 100644 index 0000000000000000000000000000000000000000..5c3beac3668fc432e11acc93531a2020519fcbe8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4192.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": 6, + "trash bin": 3, + "nightstand": 15, + "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/96/scene0207_02/4193.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4193.json new file mode 100644 index 0000000000000000000000000000000000000000..d45c615e5e4fbddcd406394c92a3e8a386852d41 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4193.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4194.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4194.json new file mode 100644 index 0000000000000000000000000000000000000000..1a0170aac0ef09d60b0d857e750f4520e79659f1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4194.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4195.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4195.json new file mode 100644 index 0000000000000000000000000000000000000000..a9b979b59364636a4e293a857c8d8e2b848490b5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4195.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0207_02/4196.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4196.json new file mode 100644 index 0000000000000000000000000000000000000000..123b1d791b48755703a974be7a808fa4c84a7ec9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4196.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4197.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4197.json new file mode 100644 index 0000000000000000000000000000000000000000..31a228614022f38bebb9724af611ec557735fee0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4197.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4198.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4198.json new file mode 100644 index 0000000000000000000000000000000000000000..4a1f512c5f82fda220187d872e838b8263cdc6f8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4198.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4199.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4199.json new file mode 100644 index 0000000000000000000000000000000000000000..3afa8a4614c042d9a61a9adfc43068596e994bb8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4199.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": 3, + "printer": 9, + "mirror": 22, + "nightstand": 15 + }, + "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/96/scene0207_02/4200.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4200.json new file mode 100644 index 0000000000000000000000000000000000000000..3a364d4da85a029d67ef1b8179754b4c2fb5f01c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4200.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": 15, + "trash bin": 3, + "chair": 13, + "window": 6 + }, + "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/96/scene0207_02/4201.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4201.json new file mode 100644 index 0000000000000000000000000000000000000000..08242825d26f5240b6676aaad57e35374d462158 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4201.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "D", + "answer_raw": "D", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "backpack": 12, + "nightstand": 15, + "table": 8, + "trash bin": 3 + }, + "true_order_per_spatial_code": "trash bin, table, backpack, nightstand", + "ground_truth_option_text": "table, 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/96/scene0207_02/4202.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4202.json new file mode 100644 index 0000000000000000000000000000000000000000..f40bc6f8e064acee091bc5f0eb1f9a009304ea23 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4202.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4203.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4203.json new file mode 100644 index 0000000000000000000000000000000000000000..4baf658b715af2dbb7bc2252d87db365ee7cfb90 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4203.json @@ -0,0 +1,29 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4204.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4204.json new file mode 100644 index 0000000000000000000000000000000000000000..33dd27d4b6da64005ef85b667a9b0c6dda41d432 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4204.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4205.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4205.json new file mode 100644 index 0000000000000000000000000000000000000000..6d03414510647299ab6c2ac9df6a9ef44bf1a371 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4205.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0207_02/4206.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4206.json new file mode 100644 index 0000000000000000000000000000000000000000..48abaa723ee434182807b19ecad933ace9afb5fb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4206.json @@ -0,0 +1,29 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4207.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4207.json new file mode 100644 index 0000000000000000000000000000000000000000..0c97da62f624910ae359dddbf5e6fd0d1a7f92a3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4207.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "A", + "answer_raw": "A", + "score": 0.0, + "appearance_order_diagnosis": { + "diagnosable": true, + "class_positions_in_real_order": { + "door": 16, + "backpack": 12, + "mirror": 22, + "closet": 17 + }, + "true_order_per_spatial_code": "backpack, door, closet, mirror", + "ground_truth_option_text": "closet, backpack, door, 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/96/scene0207_02/4208.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4208.json new file mode 100644 index 0000000000000000000000000000000000000000..0a496e153160b0f9d1a17eef12e887dfd76a6d72 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4208.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4209.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4209.json new file mode 100644 index 0000000000000000000000000000000000000000..6f01c36f9ace3c169c653dea2ece00f9e383866b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4209.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4210.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4210.json new file mode 100644 index 0000000000000000000000000000000000000000..0a654d8a684a86498c46aacc8d9a7f4b4a4f6364 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4210.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4211.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4211.json new file mode 100644 index 0000000000000000000000000000000000000000..6429966a544ba48a5f3a281a28fc1ece0a8ac494 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4211.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4212.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4212.json new file mode 100644 index 0000000000000000000000000000000000000000..7e6098584c2e5f6767cf876c31fb82ed2e4ab095 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4212.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": 6, + "trash bin": 3, + "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/96/scene0207_02/4213.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4213.json new file mode 100644 index 0000000000000000000000000000000000000000..2b4f5d0b1c29b7dcab01f1931525825317d2d3bf --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4213.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4214.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4214.json new file mode 100644 index 0000000000000000000000000000000000000000..5ce5146d8868df471a165f33b066ff4654fcfc50 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4214.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4215.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4215.json new file mode 100644 index 0000000000000000000000000000000000000000..d5d6eedcb18e99ad5029fcef868098c04de61db9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4215.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": 4, + "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/96/scene0207_02/4216.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4216.json new file mode 100644 index 0000000000000000000000000000000000000000..fefa01366ea412e19c0ac42310d96e99c214640f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4216.json @@ -0,0 +1,29 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4217.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4217.json new file mode 100644 index 0000000000000000000000000000000000000000..9eebc822cc4d9d7740bcce7a6f72021ed1f8a4a8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4217.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4371.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4371.json new file mode 100644 index 0000000000000000000000000000000000000000..183a2899ac238b4008ba7595c83dd89b275811a0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4371.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4372.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4372.json new file mode 100644 index 0000000000000000000000000000000000000000..62666256ed53ede4ed437a8f081ab3a5362cc2d0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4372.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4373.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4373.json new file mode 100644 index 0000000000000000000000000000000000000000..7b921536893cc43f22f4e924fd8dfe1f73b6961c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4373.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4581.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4581.json new file mode 100644 index 0000000000000000000000000000000000000000..bfbad6569f453b987c2e009c9541bea06f3a6853 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4581.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4582.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4582.json new file mode 100644 index 0000000000000000000000000000000000000000..94ea948faf2a52db8b44f92cb307e6a3c531767a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4582.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4583.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4583.json new file mode 100644 index 0000000000000000000000000000000000000000..35a422088f5858abf0d87288f8b439241c546d10 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4583.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4584.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4584.json new file mode 100644 index 0000000000000000000000000000000000000000..9f038293f5db935afdd26e8acf49f237c455fa1e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4584.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0207_02/4585.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4585.json new file mode 100644 index 0000000000000000000000000000000000000000..d11d01ad1fd5572aef698766eae1755d32de4ec0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4585.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4926.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4926.json new file mode 100644 index 0000000000000000000000000000000000000000..7ee4a40daa537a4bf898c60a97d8f9244d0e3549 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4926.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/4927.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4927.json new file mode 100644 index 0000000000000000000000000000000000000000..b53a26a4df5d7385ad7f18ac685b7fc30910c470 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4927.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "3.54", + "answer_raw": "3.54", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4928.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4928.json new file mode 100644 index 0000000000000000000000000000000000000000..9468aba4d6d1980b8120835b235c93050c2a8394 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4928.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "3.37", + "answer_raw": "3.37", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4929.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4929.json new file mode 100644 index 0000000000000000000000000000000000000000..9852fda12cd40f24cee7af8328358b48483e988e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4929.json @@ -0,0 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0000000000000000000000000000000000000000..6d6d3250d84bbc211d0183d9d7166b59eadb334a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4930.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "0.51", + "answer_raw": "0.51", + "score": 0.2 +} \ 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/96/scene0207_02/4932.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4932.json new file mode 100644 index 0000000000000000000000000000000000000000..f5dc78e3659be68644b359b0703cf5c8cafcaf96 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/4932.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0207_02", + "dataset": "scannet", + "question_id": 4932, + "question_type": "object_abs_distance", + "question": 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+ "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0207_02/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..6d06e12cdc3d675c181f76803d71086992b8de6c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0207_02/_aggregate.json @@ -0,0 +1,16 @@ +{ + "scene_id": "scene0207_02", + "aggregate": { + "overall": 42.54945054945055, + "object_counting_MRA:.5:.95:.05": 26.000000000000007, + "object_abs_distance_MRA:.5:.95:.05": 45.714285714285715, + "object_size_estimation_MRA:.5:.95:.05": 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0000000000000000000000000000000000000000..9b7aeb93e84c0a3da92c8f23678a7f9d8c9127dd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3182.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0221_01/3183.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3183.json new file mode 100644 index 0000000000000000000000000000000000000000..fd7e6310cafc356bf8e9525e74d6f811af76edf1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3183.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0221_01/3184.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3184.json new file mode 100644 index 0000000000000000000000000000000000000000..29191e4ce6c3be860f069629bd39d1cda32bf5ec --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3184.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0221_01/3185.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3185.json new file mode 100644 index 0000000000000000000000000000000000000000..a99b89b9c9e20bfee07c57370ba74f926b60deab --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3185.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0221_01/3186.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3186.json new file mode 100644 index 0000000000000000000000000000000000000000..b943c5bd9a2b3e12430758a300e0a42f6bbee0a8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3186.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0221_01/3187.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3187.json new file mode 100644 index 0000000000000000000000000000000000000000..5635c626a12e72ceb1185e151c7b00a9c87d48ad --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3187.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0221_01/3188.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3188.json new file mode 100644 index 0000000000000000000000000000000000000000..107913b023bb4adbf959fcb046e357b8a50f2676 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3188.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0221_01/3189.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3189.json new file mode 100644 index 0000000000000000000000000000000000000000..e1e2fa35a240242f34eedd40c04f14af3c1ae9e5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3189.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0221_01/3543.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3543.json new file mode 100644 index 0000000000000000000000000000000000000000..c3a5ccd9505dde486a600ce1942bcb97d40021f8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3543.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "66.0", + "answer_raw": "66.0", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3544.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3544.json new file mode 100644 index 0000000000000000000000000000000000000000..9a69bb6431646dfbc03c0f682dd4796c972a303a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3544.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "24.0", + "answer_raw": "24.0", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3545.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3545.json new file mode 100644 index 0000000000000000000000000000000000000000..88c239c9ca196bf07bdf81cd6d73783d9fb54843 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3545.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "76.0", + "answer_raw": "76.0", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3546.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3546.json new file mode 100644 index 0000000000000000000000000000000000000000..b1a4d9b5d202c27c8ad28b0daa85928d60a07092 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3546.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "27.0", + "answer_raw": "27.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3752.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3752.json new file mode 100644 index 0000000000000000000000000000000000000000..b45a996392e977d7d5641a71997a9afc17961fb7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3752.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0221_01/3753.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3753.json new file mode 100644 index 0000000000000000000000000000000000000000..6de95a9e74682dea673c349b4e904211a27ee12b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3753.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0221_01/3754.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3754.json new file mode 100644 index 0000000000000000000000000000000000000000..9e4c66b8d47adc74dc64f3065ceebbeb406f0765 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3754.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0221_01/3845.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3845.json new file mode 100644 index 0000000000000000000000000000000000000000..05c6b7572113d5f0bf7b912ce5f39335180a4ce7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/3845.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0221_01/4374.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4374.json new file mode 100644 index 0000000000000000000000000000000000000000..66bc083a512f42f418ca4d8994572ff04d7652ef --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4374.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0221_01/4375.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4375.json new file mode 100644 index 0000000000000000000000000000000000000000..87ae78294ea1040cdd657d1844f88284881d2032 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4375.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0221_01/4376.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4376.json new file mode 100644 index 0000000000000000000000000000000000000000..15b45393b2931df3f208bce4626fa520364aa8bd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4376.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0221_01/4587.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4587.json new file mode 100644 index 0000000000000000000000000000000000000000..c3524fb9a457d45295eed5445babe28329755a56 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4587.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0221_01/4588.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4588.json new file mode 100644 index 0000000000000000000000000000000000000000..0c7d58f2aeb8dbbf418417adac6f0df42fc053f0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4588.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0221_01/4589.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4589.json new file mode 100644 index 0000000000000000000000000000000000000000..be6f4c60d3e272e22fe2828276fc5ca7dd5fcbea --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4589.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "6", + "answer_raw": "6", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4590.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4590.json new file mode 100644 index 0000000000000000000000000000000000000000..9db29e0b2616347bdf1523493e71ad6244f97850 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4590.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0221_01/4591.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4591.json new file mode 100644 index 0000000000000000000000000000000000000000..e493d37b36f3671cf59f4fb4e238e87393589307 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4591.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0221_01/4592.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4592.json new file mode 100644 index 0000000000000000000000000000000000000000..44803940ce20054234b540b54f29e3480c909897 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4592.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0221_01/4933.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4933.json new file mode 100644 index 0000000000000000000000000000000000000000..4f34ca230c223abd5569e3247fa8151494b3edd5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4933.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "1.95", + "answer_raw": "1.95", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4934.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4934.json new file mode 100644 index 0000000000000000000000000000000000000000..3f86f072c7e789c432faa2789e0ca3452a3de81a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4934.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "2.31", + "answer_raw": "2.31", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4935.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4935.json new file mode 100644 index 0000000000000000000000000000000000000000..5cf61fc99ade57c3c090fc9690f0a7e4b3b11338 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4935.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "5.56", + "answer_raw": "5.56", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4936.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4936.json new file mode 100644 index 0000000000000000000000000000000000000000..18468bff0832d4f0637cbdcb667d0ff5d1ef9cf0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4936.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "2.37", + "answer_raw": "2.37", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4937.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4937.json new file mode 100644 index 0000000000000000000000000000000000000000..935fed50b7bc685c1176131aa5d2d80c62deb241 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4937.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "1.06", + "answer_raw": "1.06", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4938.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4938.json new file mode 100644 index 0000000000000000000000000000000000000000..936bdc671c7a3e775a9938de5972f722a944b308 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/4938.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "5.73", + "answer_raw": "5.73", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/5041.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/5041.json new file mode 100644 index 0000000000000000000000000000000000000000..07ea4c602323edc1bbecd97f11ed87a98a26d4e6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/5041.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0221_01/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..79b9cf874d5e833cf7cc85c7de372321e1613b7f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0221_01/_aggregate.json @@ -0,0 +1,15 @@ +{ + "scene_id": "scene0221_01", + "aggregate": { + "overall": 63.21428571428571, + "object_counting_MRA:.5:.95:.05": 68.33333333333333, + "object_abs_distance_MRA:.5:.95:.05": 80.0, + "object_size_estimation_MRA:.5:.95:.05": 52.5, + "room_size_estimation_MRA:.5:.95:.05": 100.0, + "object_rel_distance_accuracy": 75.0, + "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": "63.214, 68.333, 80.000, 52.500, 100.000, 75.000, 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/96/scene0304_00/3212.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/3212.json new file mode 100644 index 0000000000000000000000000000000000000000..3635da7e12336944330a1663579c8cb2e81628a0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/3212.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "44.0", + "answer_raw": "44.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/3213.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/3213.json new file mode 100644 index 0000000000000000000000000000000000000000..e19caa854d98e476cafd8b3ab4e478f99cc89187 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/3213.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "166.0", + "answer_raw": "166.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/3214.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/3214.json new file mode 100644 index 0000000000000000000000000000000000000000..942840f0063c0c1e85c39462e1252e67ba0c43ae --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/3214.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "91.0", + "answer_raw": "91.0", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/3565.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/3565.json new file mode 100644 index 0000000000000000000000000000000000000000..366480bd83facdec148cf7b69cdc89392bca595a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/3565.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0304_00/3566.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/3566.json new file mode 100644 index 0000000000000000000000000000000000000000..7bb39773b7851df2c9fa84e50caa4747f4e0d201 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/3566.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0304_00/3567.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/3567.json new file mode 100644 index 0000000000000000000000000000000000000000..2aad2ec25e2ced94be3e471ba9343cee0627c1b0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/3567.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0304_00/3763.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/3763.json new file mode 100644 index 0000000000000000000000000000000000000000..215959db704050e055f8bfc891e4de4df28eb96f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/3763.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "15.1", + "answer_raw": "15.1", + "score": 0.5 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/4239.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/4239.json new file mode 100644 index 0000000000000000000000000000000000000000..6eeb864ce6d812dfbe4a44ffa77acc8aa7956f5c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/4239.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0304_00/4240.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/4240.json new file mode 100644 index 0000000000000000000000000000000000000000..bb2cf96dc8723d663db2a1cf572c224b823feb93 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/4240.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0304_00/4616.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/4616.json new file mode 100644 index 0000000000000000000000000000000000000000..d6f7adc709850f99fbe2ce307cc652293a25f661 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/4616.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "3.6", + "answer_raw": "3.6", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/4617.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/4617.json new file mode 100644 index 0000000000000000000000000000000000000000..4842ce8d49beb6e55d6eaa448c5f09cebe57df9a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/4617.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "1.43", + "answer_raw": "1.43", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/4618.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/4618.json new file mode 100644 index 0000000000000000000000000000000000000000..8702a1dabe2b6de0ded66067327bbe5ca0e065b2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/4618.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "4.02", + "answer_raw": "4.02", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/5134.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/5134.json new file mode 100644 index 0000000000000000000000000000000000000000..ceaeceedb5fe7f22cb0067842b6c20e736fa8e7c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/5134.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0304_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..d9ae86e9a7bdd6c6e985d847ca79215bb87f5409 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0304_00/_aggregate.json @@ -0,0 +1,13 @@ +{ + "scene_id": "scene0304_00", + "aggregate": { + "overall": 47.33333333333334, + "object_abs_distance_MRA:.5:.95:.05": 80.00000000000001, + "object_size_estimation_MRA:.5:.95:.05": 73.33333333333334, + "room_size_estimation_MRA:.5:.95:.05": 50.0, + "object_rel_direction_accuracy": 33.33333333333333, + "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": "47.333, 80.000, 73.333, 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/96/scene0328_00/3222.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3222.json new file mode 100644 index 0000000000000000000000000000000000000000..72b274d0dc604318274eb0392a51a159a303e6dc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3222.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0328_00/3223.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3223.json new file mode 100644 index 0000000000000000000000000000000000000000..09dd84ece0462e7865ccede3e308ee3bb454d68b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3223.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "160.0", + "answer_raw": "160.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3224.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3224.json new file mode 100644 index 0000000000000000000000000000000000000000..dcf7119aca992fb89e7242736de80baf82d5af15 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3224.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "88.0", + "answer_raw": "88.0", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3225.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3225.json new file mode 100644 index 0000000000000000000000000000000000000000..770ed45878459cbf2e7030576e670753c8a49d12 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3225.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "66.0", + "answer_raw": "66.0", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3226.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3226.json new file mode 100644 index 0000000000000000000000000000000000000000..1423e89e54d83fb3417a783664199ec3ad522f7f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3226.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "77.0", + "answer_raw": "77.0", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3571.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3571.json new file mode 100644 index 0000000000000000000000000000000000000000..9c3c9d490f0c5b933714329b20f721d4eb345b44 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3571.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0328_00/3572.json 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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/96/scene0328_00/3573.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3573.json new file mode 100644 index 0000000000000000000000000000000000000000..a359008d6772de44529ad6e3a32b9dc19b11dd62 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3573.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0328_00/3766.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/3766.json new file mode 100644 index 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it.", + "options": [ + "A. right", + "B. back", + "C. 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/96/scene0328_00/4248.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/4248.json new file mode 100644 index 0000000000000000000000000000000000000000..0d865e6a82380c325e75954d924fe3f37549a0f5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/4248.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0328_00", + "dataset": "scannet", + "question_id": 4248, + "question_type": "object_rel_direction_medium", + "question": "If I am standing by the window and facing the oven, is the refrigerator 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": "", + "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/96/scene0328_00/4249.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/4249.json new file mode 100644 index 0000000000000000000000000000000000000000..6b94e6b8ee47861914ce4e24744794531930b938 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/4249.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0328_00/4627.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/4627.json new file mode 100644 index 0000000000000000000000000000000000000000..90d0b582020affe9acfee1eb61387ac1661b041d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/4627.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0328_00", + "dataset": "scannet", + "question_id": 4627, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the refrigerator and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.9", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/4628.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/4628.json new file mode 100644 index 0000000000000000000000000000000000000000..54ade62eeea1571d04386085e7ea820f906d2324 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/4628.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0328_00", + "dataset": "scannet", + "question_id": 4628, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the microwave and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.7", + "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/96/scene0328_00/4629.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/4629.json new file mode 100644 index 0000000000000000000000000000000000000000..47acd871e0b1abded8212a7bdee5275f1fdc596e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/4629.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0328_00", + "dataset": "scannet", + "question_id": 4629, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the microwave and the counter (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "0.4", + "answer_given": "0.55", + "answer_raw": "0.55", + "score": 0.3 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/4630.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/4630.json new file mode 100644 index 0000000000000000000000000000000000000000..db0f5f27090546e2e1b4746bc28f5246c1809aa3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/4630.json @@ 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0000000000000000000000000000000000000000..61b894ebb26f17d608bb8d4d8082309871d43c21 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/4631.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0328_00", + "dataset": "scannet", + "question_id": 4631, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the oven and the window (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "1.6", + "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": "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/96/scene0328_00/5015.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/5015.json new file mode 100644 index 0000000000000000000000000000000000000000..81b3bcdea2e11049756284aaeb9b46c45524b09a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/5015.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0328_00", + "dataset": "scannet", + "question_id": 5015, + "question_type": "route_planning", + "question": "You are a robot beginning at the sink facing the sink. 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/96/scene0328_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..abf584fc3829c618e527d7a71db755413cd68c8f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0328_00/_aggregate.json @@ -0,0 +1,13 @@ +{ + "scene_id": "scene0328_00", + "aggregate": { + "overall": 21.800000000000004, + "object_abs_distance_MRA:.5:.95:.05": 5.0, + "object_size_estimation_MRA:.5:.95:.05": 24.0, + "room_size_estimation_MRA:.5:.95:.05": 80.0, + 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a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/2968.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/2968.json new file mode 100644 index 0000000000000000000000000000000000000000..f60b34b32ad85fdcda653adf323d16380419fb30 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/2968.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0356_00/2969.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/2969.json new file mode 100644 index 0000000000000000000000000000000000000000..38961f4e50d30109a953d883fb28cdeaf9d3d963 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/2969.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0356_00/2970.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/2970.json new file mode 100644 index 0000000000000000000000000000000000000000..bbf55e74d6bd47bc245a1e3f2eb3af5da5041b7a --- /dev/null +++ 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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/96/scene0356_00/3242.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3242.json new file mode 100644 index 0000000000000000000000000000000000000000..79fe76acd6b39809bec706d49f434d647f6d8faf --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3242.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "147.0", + "answer_raw": "147.0", + "score": 0.3 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3243.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3243.json new file mode 100644 index 0000000000000000000000000000000000000000..cf861f95f9d8f6174fee3f3345944981fe97f643 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3243.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": 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b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3244.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "147.0", + "answer_raw": "147.0", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3245.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/96/scene0356_00/3246.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3246.json new file mode 100644 index 0000000000000000000000000000000000000000..c7324c14d066e4d09eebad811d1cb502977ef9fc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3246.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "18.0", + "answer_raw": "18.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3247.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3247.json new file mode 100644 index 0000000000000000000000000000000000000000..bed14748e1919a778bfcfd9f4adf4e0545d3484a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3247.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "76.0", + "answer_raw": "76.0", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3577.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3577.json new file mode 100644 index 0000000000000000000000000000000000000000..0d8ff7182ad0d84f4bd46c368e4bc44c2986becb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3577.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": 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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": "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/96/scene0356_00/3579.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3579.json new file mode 100644 index 0000000000000000000000000000000000000000..e7171846dcf009b66dbaaff4c975cbdd04ee54e8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3579.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0356_00/3707.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3707.json new file mode 100644 index 0000000000000000000000000000000000000000..9a3040d54caa7ccb242a3f25fbfd7572489ad056 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3707.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0356_00/3708.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3708.json new file mode 100644 index 0000000000000000000000000000000000000000..01202d8d09e3646981c54fe3e6f4a9ba4e1b08a0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3708.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0356_00/3709.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3709.json new file mode 100644 index 0000000000000000000000000000000000000000..b6f2e88de49ede4f06e0ef61404cbc6eb51ac2f4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3709.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0356_00/3770.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3770.json new file mode 100644 index 0000000000000000000000000000000000000000..9bb37b8bb4a99de51482827a25b81ad88c717a7c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/3770.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "7.3", + "answer_raw": "7.3", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4256.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4256.json new file mode 100644 index 0000000000000000000000000000000000000000..94a17d0b93312bdf84fa710ca19abba7723a69ce --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4256.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0356_00/4257.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4257.json new file mode 100644 index 0000000000000000000000000000000000000000..5a5d81428486d535dbbe79712632e92bdf464b2a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4257.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0356_00/4258.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4258.json new file mode 100644 index 0000000000000000000000000000000000000000..2643d06de21636e34d88d723a4a9738b2343159e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4258.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0356_00/4401.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4401.json new file mode 100644 index 0000000000000000000000000000000000000000..27926e974df44dfff0a9f93e05a6ed1c57a28a99 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4401.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "3", + "answer_raw": "3", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4402.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4402.json new file mode 100644 index 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"2.51", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4649.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4649.json new file mode 100644 index 0000000000000000000000000000000000000000..0ed232108c694467853f162ce35b31d7a2b53d07 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4649.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0356_00", + "dataset": "scannet", + "question_id": 4649, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point 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"tracking", + "number_of_frames": 96, + "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": "0.0", + "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/96/scene0356_00/4651.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4651.json new file mode 100644 index 0000000000000000000000000000000000000000..4dccccd91a5a79b88a8509966766e45a7b632b84 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4651.json @@ 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0000000000000000000000000000000000000000..b9a87189b63968cbe25503e1ef989b37364088c0 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4652.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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 Persistence/96/scene0356_00/4653.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4653.json new file mode 100644 index 0000000000000000000000000000000000000000..65e5a804fe48486ff4a18525e909c393b2992e8e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4653.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "scene": "scene0356_00", + "dataset": "scannet", + "question_id": 4653, + "question_type": "object_abs_distance", + "question": "Measuring from the closest point of each object, what is the distance between the telephone and the radiator (in meters)?", + "options": null, + "full_prompt": null, + "answer_expected": "2.1", + "answer_given": "", + "answer_raw": "", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4654.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4654.json new file mode 100644 index 0000000000000000000000000000000000000000..72ef15b9d5b7bcfd0d71da523f7b59d294b19693 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/4654.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "3.79", + "answer_raw": "3.79", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/5056.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/5056.json new file mode 100644 index 0000000000000000000000000000000000000000..a62883128aa9b9ee437c2d5b3a1f7eabab9d17ec --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/5056.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0356_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..f41fb01189de683b7631fd1b458079e7f57d7f6a --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0356_00/_aggregate.json @@ -0,0 +1,15 @@ +{ + "scene_id": "scene0356_00", + "aggregate": { + "overall": 31.201814058956913, + "object_counting_MRA:.5:.95:.05": 55.00000000000001, + "object_abs_distance_MRA:.5:.95:.05": 42.857142857142854, + "object_size_estimation_MRA:.5:.95:.05": 28.333333333333332, + "room_size_estimation_MRA:.5:.95:.05": 20.0, + "object_rel_distance_accuracy": 50.0, + "object_rel_direction_accuracy": 22.22222222222222, + "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": "31.202, 55.000, 42.857, 28.333, 20.000, 50.000, 22.222, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/2972.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/2972.json new file mode 100644 index 0000000000000000000000000000000000000000..97ed296c32587717bd1807950f4513c1f5a8f713 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/2972.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0357_01/2973.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/2973.json new file mode 100644 index 0000000000000000000000000000000000000000..bd0bdd5f27c369e3950f23388b7373b768dbf9ed --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/2973.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "", + "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/96/scene0357_01/2974.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/2974.json new file mode 100644 index 0000000000000000000000000000000000000000..47b184289a80d9dbbb240e6610bc56d10629b798 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/2974.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0357_01/3248.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3248.json new file mode 100644 index 0000000000000000000000000000000000000000..2d3df53f00c7a76461cec573dc72727c42ad6451 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3248.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": 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b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3249.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "", + "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/96/scene0357_01/3250.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3250.json new file mode 100644 index 0000000000000000000000000000000000000000..bef2509fabe1178f05c21490ed2f8bdfdf123ab9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3250.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "41.0", + "answer_raw": "41.0", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3251.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3251.json new file mode 100644 index 0000000000000000000000000000000000000000..069204b97f9fa55147051412574f3302e78ee8c2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3251.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0357_01/3580.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3580.json new file mode 100644 index 0000000000000000000000000000000000000000..a425b6c79cbec6887f2abfa1a01d90ebe7e5da91 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3580.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "", + "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/96/scene0357_01/3581.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3581.json new file mode 100644 index 0000000000000000000000000000000000000000..d372f99dc2378fdb17759deffa883f159e1fb5bd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3581.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "", + "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/96/scene0357_01/3582.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3582.json new file mode 100644 index 0000000000000000000000000000000000000000..c355c58220b88b65c6de4040c0687c77d4177798 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3582.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "", + "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/96/scene0357_01/3583.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3583.json new file mode 100644 index 0000000000000000000000000000000000000000..7d790dc6c7ca8ad6198ad19f5d0775ae7bd91ebc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3583.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "", + "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/96/scene0357_01/3584.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3584.json new file mode 100644 index 0000000000000000000000000000000000000000..8d915896e296ba4c6fc7dd8f1c53f6d8c7e62923 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3584.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "", + "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/96/scene0357_01/3710.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3710.json new file mode 100644 index 0000000000000000000000000000000000000000..3eaa15a16b4737b9453b6e4945a7c95518cc2cdb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3710.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "", + "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/96/scene0357_01/3711.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3711.json new file mode 100644 index 0000000000000000000000000000000000000000..2bc04110368b24c505ad539e588e10195b749f70 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3711.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "", + "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/96/scene0357_01/3712.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3712.json new file mode 100644 index 0000000000000000000000000000000000000000..aaa1ba61cfc0060f4998d79e991b17d57cd69c79 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3712.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "", + "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/96/scene0357_01/3771.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3771.json new file mode 100644 index 0000000000000000000000000000000000000000..686dab16399fe2ca7f096f0bd2d2f421313600d6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/3771.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "8.7", + "answer_raw": "8.7", + "score": 0.6 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4259.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4259.json new file mode 100644 index 0000000000000000000000000000000000000000..ba2c20c6998fa100b05bf875b64b3509cd8e7262 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4259.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0357_01/4260.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4260.json new file mode 100644 index 0000000000000000000000000000000000000000..16a25b9c4ba2d0962d21f09b5fcbf7867aecee47 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4260.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "", + "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/96/scene0357_01/4261.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4261.json new file mode 100644 index 0000000000000000000000000000000000000000..0fe2ec8762ef19952c1b57ad5e07996bce49ebdb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4261.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "", + "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/96/scene0357_01/4262.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4262.json new file mode 100644 index 0000000000000000000000000000000000000000..0d88c0904a516b08838ac45f400afb182adc0de8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4262.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "", + "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/96/scene0357_01/4403.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4403.json new file mode 100644 index 0000000000000000000000000000000000000000..db29944ca120664f1459727d9e861694040e2ac8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4403.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0357_01/4655.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4655.json new file mode 100644 index 0000000000000000000000000000000000000000..233c968e2b3da9acfdd6ccd8cd9fe2e7bd558e71 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4655.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "", + "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/96/scene0357_01/4656.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4656.json new file mode 100644 index 0000000000000000000000000000000000000000..cb574f63c6eddccac0b1dbe1e914650595ce2dcb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4656.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "1.2", + "answer_raw": "1.2", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track 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"answer_given": "", + "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/96/scene0357_01/4658.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4658.json new file mode 100644 index 0000000000000000000000000000000000000000..ba433c27a2da07252dd09de683a87fb1749ce751 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4658.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "2.12", + "answer_raw": "2.12", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4659.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4659.json new file mode 100644 index 0000000000000000000000000000000000000000..773666fec78c09512e7c005890391eb8eab18165 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4659.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "", + "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/96/scene0357_01/4660.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4660.json new file mode 100644 index 0000000000000000000000000000000000000000..7d85199d9bcf754116105995d689e2422218e557 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/4660.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "0.74", + "answer_raw": "0.74", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/5058.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/5058.json new file mode 100644 index 0000000000000000000000000000000000000000..09fca2a00d4157a329531bf0dbf99b877cf16306 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/5058.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0357_01/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..4eba5084dc41a770da623dc2ba6e2b8904acadcf --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0357_01/_aggregate.json @@ -0,0 +1,15 @@ +{ + "scene_id": "scene0357_01", + "aggregate": { + "overall": 42.61904761904762, + "object_counting_MRA:.5:.95:.05": 100.0, + "object_abs_distance_MRA:.5:.95:.05": 45.0, + "object_size_estimation_MRA:.5:.95:.05": 60.0, + "room_size_estimation_MRA:.5:.95:.05": 60.0, + "object_rel_distance_accuracy": 33.33333333333333, + "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": "42.619, 100.000, 45.000, 60.000, 60.000, 33.333, 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/96/scene0412_00/3773.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0412_00/3773.json new file mode 100644 index 0000000000000000000000000000000000000000..a036a6fa7e935c177935a8bc030fdd8e6a70a2e6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0412_00/3773.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "17.7", + "answer_raw": "17.7", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0412_00/4407.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0412_00/4407.json new file mode 100644 index 0000000000000000000000000000000000000000..6f25cdbe8e3169389cb736a60e01a585c60273c1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0412_00/4407.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "4", + "answer_raw": "4", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0412_00/4408.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0412_00/4408.json new file mode 100644 index 0000000000000000000000000000000000000000..34f194567c745f488d2cab30513476e48bf7b7c3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0412_00/4408.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0412_00/4409.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0412_00/4409.json new file mode 100644 index 0000000000000000000000000000000000000000..f6195a9b00ea17cd9c5e1a74089bfc300f492dd8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0412_00/4409.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0412_00/5119.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0412_00/5119.json new file mode 100644 index 0000000000000000000000000000000000000000..690b424b020b3970a48047d11f0f9e5d75ef9180 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0412_00/5119.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0412_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0412_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..7a215806842f437a93e6a577fc2b80cb80b6d607 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0412_00/_aggregate.json @@ -0,0 +1,11 @@ +{ + "scene_id": "scene0412_00", + "aggregate": { + "overall": 41.111111111111114, + "object_counting_MRA:.5:.95:.05": 33.33333333333333, + "room_size_estimation_MRA:.5:.95:.05": 90.0, + "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": "41.111, 33.333, 90.000, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/2982.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/2982.json new file mode 100644 index 0000000000000000000000000000000000000000..9c80c77a9fae5735e7eacdaa53aed595d12bafc3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/2982.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0426_00/2983.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/2983.json new file mode 100644 index 0000000000000000000000000000000000000000..91cbf12ee7ad4c9a112aaa2f193f5380c96bc856 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/2983.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0426_00/2984.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/2984.json new file mode 100644 index 0000000000000000000000000000000000000000..ff68a7f630062b6246ad95f1930382906231e2f8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/2984.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/2985.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/2985.json new file mode 100644 index 0000000000000000000000000000000000000000..5553bfd676c8087bce0c3f50091718999e960615 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/2985.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0426_00/2986.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/2986.json new file mode 100644 index 0000000000000000000000000000000000000000..eef6f43c914c2fb146953bedf7f875ccaf59f81c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/2986.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0426_00/2987.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/2987.json new file mode 100644 index 0000000000000000000000000000000000000000..8f18cd028e3c3589529b30a294971f408e33cfdc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/2987.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0426_00/3258.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3258.json new file mode 100644 index 0000000000000000000000000000000000000000..5fa410ba3f5ca4618459798317edd8ada3b5ce1e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3258.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "102.0", + "answer_raw": "102.0", + "score": 0.1 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3259.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3259.json new file mode 100644 index 0000000000000000000000000000000000000000..9a5529b77ee61eb2dca7b47679653886e4995bb3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3259.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "99.0", + "answer_raw": "99.0", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3260.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3260.json new file mode 100644 index 0000000000000000000000000000000000000000..066e1ca1eb537dfd812d39a5f43be00d8e5654dc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3260.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "82.0", + "answer_raw": "82.0", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3261.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3261.json new file mode 100644 index 0000000000000000000000000000000000000000..cbee85d16846fbcaae17cf04a39a766822bb186e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3261.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "86.0", + "answer_raw": "86.0", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3262.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3262.json new file mode 100644 index 0000000000000000000000000000000000000000..13a3a06a273a1db71ff864794557f31d8097f03d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3262.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "44.0", + "answer_raw": "44.0", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3263.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3263.json new file mode 100644 index 0000000000000000000000000000000000000000..059590ec0b0b2cc6b513781c33c7896e5f6aad45 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3263.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "113.0", + "answer_raw": "113.0", + "score": 0.3 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3264.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3264.json new file mode 100644 index 0000000000000000000000000000000000000000..969b7b2513045bf451f93421c099abb143ec0613 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3264.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "120.0", + "answer_raw": "120.0", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3713.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3713.json new file mode 100644 index 0000000000000000000000000000000000000000..8d17d1d05dffbe40d7508a0923588bbe7d19a9e1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3713.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3714.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3714.json new file mode 100644 index 0000000000000000000000000000000000000000..c7b6fae07a5c8891bbe4fdeb7c1facc5ac6e06f8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3714.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3715.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3715.json new file mode 100644 index 0000000000000000000000000000000000000000..cb8298a4fabe9c8ccf0bc21a047c61bc1ce7bc71 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3715.json @@ -0,0 +1,23 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3774.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3774.json new file mode 100644 index 0000000000000000000000000000000000000000..75213e980f517b97de0d1045e59cf593b68b53ca --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3774.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "12.4", + "answer_raw": "12.4", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3885.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3885.json new file mode 100644 index 0000000000000000000000000000000000000000..8bed2ba8d74c07955e0e5a48dfdf3706540e1a87 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3885.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3886.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3886.json new file mode 100644 index 0000000000000000000000000000000000000000..8c8b58444ebd6eeff6d1c189e7cf466779b72e17 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3886.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3887.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3887.json new file mode 100644 index 0000000000000000000000000000000000000000..10b5f1cda2258e5dbb534edf9911f68de37fc8ab --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3887.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3888.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3888.json new file mode 100644 index 0000000000000000000000000000000000000000..da59d7953742c4417e5f9b529077650ed9d128d8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3888.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": 5, + "tv": 6, + "lamp": 13, + "chair": 10 + }, + "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/96/scene0426_00/3889.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3889.json new file mode 100644 index 0000000000000000000000000000000000000000..7a55b711921a03684dba356e2d65b9b60e4135f8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3889.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3890.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3890.json new file mode 100644 index 0000000000000000000000000000000000000000..876372a01553189640775bb0fb6b193c5d3ae0a6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3890.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3891.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3891.json new file mode 100644 index 0000000000000000000000000000000000000000..d1138add1d46feb66c7b325df2be3304d791b0db --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3891.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3892.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3892.json new file mode 100644 index 0000000000000000000000000000000000000000..ab5e924104ea4736e78534b4b1dcfa6565594230 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3892.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": 10, + "lamp": 13, + "pillow": 4, + "tv": 6 + }, + "true_order_per_spatial_code": "pillow, tv, 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/96/scene0426_00/3893.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3893.json new file mode 100644 index 0000000000000000000000000000000000000000..72dd433e47da3a2ed3e183b0babf6bbfefc93e32 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3893.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3894.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3894.json new file mode 100644 index 0000000000000000000000000000000000000000..03b65701765ecff70e114556d8ed90c8f137c12e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3894.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3895.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3895.json new file mode 100644 index 0000000000000000000000000000000000000000..4375424a4dfcd33bee14b227f29afd530b02d43f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3895.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3896.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3896.json new file mode 100644 index 0000000000000000000000000000000000000000..88a8103b4322daf94174e6bfd07ab96b785374f3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3896.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": 7, + "tv": 6, + "lamp": 13, + "chair": 10 + }, + "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/96/scene0426_00/3897.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3897.json new file mode 100644 index 0000000000000000000000000000000000000000..12a7f187b95857713f6fb77564b72a515cc597d9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3897.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3898.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3898.json new file mode 100644 index 0000000000000000000000000000000000000000..bf2cea396afaefae0cf1a1b68e0f3abebbca4223 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3898.json @@ -0,0 +1,38 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": 6, + "chair": 10, + "table": 5, + "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/96/scene0426_00/3899.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3899.json new file mode 100644 index 0000000000000000000000000000000000000000..661cfe7ee8e74334a9e0c34488b5fd09e26d2d87 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3899.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3900.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3900.json new file mode 100644 index 0000000000000000000000000000000000000000..c437e4f600983ae1a873e84486aa818252de2632 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3900.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3901.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3901.json new file mode 100644 index 0000000000000000000000000000000000000000..6584c620f268ee9edcac4dff083262d493070bef --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3901.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3902.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3902.json new file mode 100644 index 0000000000000000000000000000000000000000..7a97697281cc650251ef7bae29415ae0071cbee3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3902.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3903.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3903.json new file mode 100644 index 0000000000000000000000000000000000000000..86984e98bff4fa5959d8cd65f4d4a7c45efcc434 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3903.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0426_00/3904.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3904.json new file mode 100644 index 0000000000000000000000000000000000000000..bf9eaedd4019a6758479092ccfaa327378b075d9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3904.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3905.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3905.json new file mode 100644 index 0000000000000000000000000000000000000000..7db320ca5ae628c13b961791590acbc86970c42e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3905.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3906.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3906.json new file mode 100644 index 0000000000000000000000000000000000000000..a6e1ca75d18ab961981a536521a305cf78ae39fe --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3906.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/3907.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3907.json new file mode 100644 index 0000000000000000000000000000000000000000..c11d25770bbe5b90040bc5150b8fddb8d119c721 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/3907.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/4266.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4266.json new file mode 100644 index 0000000000000000000000000000000000000000..9ddfa83874561eaf3536a7646ace04e9355a97df --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4266.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/4267.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4267.json new file mode 100644 index 0000000000000000000000000000000000000000..36df136f0e70bd520f93edecc62a06670a2e65ad --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4267.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/4268.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4268.json new file mode 100644 index 0000000000000000000000000000000000000000..629937d950cfe4da2c59bfa85cfe4ab8b47dfe83 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4268.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/4410.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4410.json new file mode 100644 index 0000000000000000000000000000000000000000..455b0bb35203c52c08c2aafff52c31f3074f9c13 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4410.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0426_00/4411.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4411.json new file mode 100644 index 0000000000000000000000000000000000000000..51604a91db53a62ef88e27fb5c1d08313e2ab348 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4411.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0426_00/4412.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4412.json new file mode 100644 index 0000000000000000000000000000000000000000..8e140c6cce844737ed78b11be14dddf0222a9673 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4412.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/4668.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4668.json new file mode 100644 index 0000000000000000000000000000000000000000..c60bc5bbf6516f09b27867718b23611911f1445d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4668.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "1.13", + "answer_raw": "1.13", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4669.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4669.json new file mode 100644 index 0000000000000000000000000000000000000000..0a2383352ea93919b35bfbfa7c5746ff43e201b1 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4669.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "1.66", + "answer_raw": "1.66", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4670.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4670.json new file mode 100644 index 0000000000000000000000000000000000000000..016247a964fc993a7860194afce1c0620c0f209f --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4670.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "2.26", + "answer_raw": "2.26", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4671.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4671.json new file mode 100644 index 0000000000000000000000000000000000000000..dd7e8c3bd7449920e0139e71161931b67a16d0a6 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4671.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "2.43", + "answer_raw": "2.43", + "score": 0.3 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4672.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4672.json new file mode 100644 index 0000000000000000000000000000000000000000..618074c8ee65570566e2431452277e2e4f2488bd --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4672.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "0.01", + "answer_raw": "0.01", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4673.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4673.json new file mode 100644 index 0000000000000000000000000000000000000000..f2d1a12ca21b7d6ffca94487599b9770fc45cdc8 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4673.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "0.57", + "answer_raw": "0.57", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4674.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4674.json new file mode 100644 index 0000000000000000000000000000000000000000..7e896da84733ea871831eba48b692bee2ae390ef --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/4674.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "0.54", + "answer_raw": "0.54", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/5061.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/5061.json new file mode 100644 index 0000000000000000000000000000000000000000..c72efb885c064fbfddb94ea2befb501b265b5c79 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/5061.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0426_00/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..2975848dc97c41e270431977a445ae0b87c1766d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0426_00/_aggregate.json @@ -0,0 +1,16 @@ +{ + "scene_id": "scene0426_00", + "aggregate": { + "overall": 47.945134575569355, + "object_counting_MRA:.5:.95:.05": 16.666666666666664, + "object_abs_distance_MRA:.5:.95:.05": 34.285714285714285, + "object_size_estimation_MRA:.5:.95:.05": 50.0, + "room_size_estimation_MRA:.5:.95:.05": 100.0, + "object_rel_distance_accuracy": 33.33333333333333, + "object_rel_direction_accuracy": 66.66666666666666, + "route_planning_accuracy": 0.0, + "obj_appearance_order_accuracy": 82.6086956521739, + "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": "47.945, 16.667, 34.286, 50.000, 100.000, 33.333, 66.667, 0.000, 82.609" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3091.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3091.json new file mode 100644 index 0000000000000000000000000000000000000000..75da6eb1cd556806a19c59d6b092efe3be860cf2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3091.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0435_02/3092.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3092.json new file mode 100644 index 0000000000000000000000000000000000000000..560143a8eb245d4d8d4671023a84088fb57a5636 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3092.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0435_02/3093.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3093.json new file mode 100644 index 0000000000000000000000000000000000000000..15ad62566d91c706fc977d10eca350e2b8d20aa5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3093.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0435_02/3094.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3094.json new file mode 100644 index 0000000000000000000000000000000000000000..1c3fab0eda0d460819ff4cb40be31f25361a9f9c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3094.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0435_02/3095.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3095.json new file mode 100644 index 0000000000000000000000000000000000000000..035de8ec6d1b4047adc12a0a347c100c8926b964 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3095.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0435_02/3096.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3096.json new file mode 100644 index 0000000000000000000000000000000000000000..8f614b2a99ffa0f35dfd6a01a029abdc534719a3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3096.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0435_02/3097.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3097.json new file mode 100644 index 0000000000000000000000000000000000000000..0ad421f25d3de69c02d0b8467a6341032ab818d4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3097.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0435_02/3098.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3098.json new file mode 100644 index 0000000000000000000000000000000000000000..a944ab896fce2d0ae1b5cdfeb3211eb8e80e0264 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3098.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0435_02/3099.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3099.json new file mode 100644 index 0000000000000000000000000000000000000000..6a871ea7a806efdd2e0d4d88acd6386f576ff8a2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3099.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0435_02/3100.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3100.json new file mode 100644 index 0000000000000000000000000000000000000000..cf76d4d65336b76e4419092b017aa6354cd48f82 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3100.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0435_02/3370.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3370.json new file mode 100644 index 0000000000000000000000000000000000000000..5c1de4b211624178315095920855e2a093dc08cc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3370.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0435_02/3371.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3371.json new file mode 100644 index 0000000000000000000000000000000000000000..21a771cc24bb1cc4000773a55c6c6058f99117e2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3371.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "73.0", + "answer_raw": "73.0", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3372.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3372.json new file mode 100644 index 0000000000000000000000000000000000000000..685e0c8e030be06169bb4a7bd9aaab940f152619 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3372.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0435_02/3373.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3373.json new file mode 100644 index 0000000000000000000000000000000000000000..e1053a0b601cffafb8275bc15f45156a95d7aaa9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3373.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "41.0", + "answer_raw": "41.0", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3374.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3374.json new file mode 100644 index 0000000000000000000000000000000000000000..43371d2000fbdc32ec2c8e0c1ce8787707697f39 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3374.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "134.0", + "answer_raw": "134.0", + "score": 1.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3375.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3375.json new file mode 100644 index 0000000000000000000000000000000000000000..125837dff6652bfb1eb1406302bee1f617274451 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3375.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "29.0", + "answer_raw": "29.0", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3376.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3376.json new file mode 100644 index 0000000000000000000000000000000000000000..c841f9b6c46c54997a9fcf1e4b227d2dac340d69 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3376.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "120.0", + "answer_raw": "120.0", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3629.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3629.json new file mode 100644 index 0000000000000000000000000000000000000000..8ede132b093976c4531a74acb371ed7c61a1527d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3629.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0435_02/3802.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3802.json new file mode 100644 index 0000000000000000000000000000000000000000..560606a1fb94b5e981a274c6f95b7cd7d631e05d --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/3802.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "20.4", + "answer_raw": "20.4", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4309.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4309.json new file mode 100644 index 0000000000000000000000000000000000000000..da0ac0b7823fa4a5a16f3fbd5e1929f6bd704bf7 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4309.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0435_02/4310.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4310.json new file mode 100644 index 0000000000000000000000000000000000000000..b57b125dd6687e46de90349039ec0beb4aaad806 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4310.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0435_02/4311.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4311.json new file mode 100644 index 0000000000000000000000000000000000000000..b7096546c0614a3d2a297dcd3607e273cf1c57fc --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4311.json @@ -0,0 +1,24 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0435_02/4488.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4488.json new file mode 100644 index 0000000000000000000000000000000000000000..382269cafbf6f68f485af76d3b63d9ce12e1eab5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4488.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0435_02/4489.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4489.json new file mode 100644 index 0000000000000000000000000000000000000000..f2c616ea10dbc1ce5c587a135053eaa995b12249 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4489.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0435_02/4490.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4490.json new file mode 100644 index 0000000000000000000000000000000000000000..ea1b0627a5b7ffea7c00f20b25a8483697226eb4 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4490.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "7", + "answer_raw": "7", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4491.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4491.json new file mode 100644 index 0000000000000000000000000000000000000000..87e8bfb911edd030813727f2f99676b204b19bf3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4491.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "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/96/scene0435_02/4774.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4774.json new file mode 100644 index 0000000000000000000000000000000000000000..3591aab1b4cbe557e253ec9135db3ec4bd71cff3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4774.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "1.51", + "answer_raw": "1.51", + "score": 0.4 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4775.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4775.json new file mode 100644 index 0000000000000000000000000000000000000000..bd7ed868e2269bf904322ace69204a4fbd23d8bb --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4775.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "3.31", + "answer_raw": "3.31", + "score": 0.8 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4776.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4776.json new file mode 100644 index 0000000000000000000000000000000000000000..e394ebd3c728fc15c8b3718266f5c0f7e20a96b3 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4776.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "2.39", + "answer_raw": "2.39", + "score": 0.9 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4777.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4777.json new file mode 100644 index 0000000000000000000000000000000000000000..5fa3900390e963cf9f51e78e03b1cc85fe1c0e6b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4777.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "1.59", + "answer_raw": "1.59", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4778.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4778.json new file mode 100644 index 0000000000000000000000000000000000000000..83ead289350c9eda71689f51a97b6703c184b0f2 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4778.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0435_02/4779.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4779.json new file mode 100644 index 0000000000000000000000000000000000000000..c782d2aa9c42540451665a41ad02bec9bb0663e9 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4779.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "2.06", + "answer_raw": "2.06", + "score": 0.0 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4780.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4780.json new file mode 100644 index 0000000000000000000000000000000000000000..f076bd25c7438ee8ae25733230b1651720cb9839 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/4780.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "3.16", + "answer_raw": "3.16", + "score": 0.7 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/5102.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/5102.json new file mode 100644 index 0000000000000000000000000000000000000000..e3ace27744d6897c99bf7ec3a74fe5963fb4603c --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/5102.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0435_02/_aggregate.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/_aggregate.json new file mode 100644 index 0000000000000000000000000000000000000000..43d2cea16cbb2e12a5485a2fce20e735ef458f03 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0435_02/_aggregate.json @@ -0,0 +1,15 @@ +{ + "scene_id": "scene0435_02", + "aggregate": { + "overall": 50.76530612244898, + "object_counting_MRA:.5:.95:.05": 72.50000000000001, + "object_abs_distance_MRA:.5:.95:.05": 42.857142857142854, + "object_size_estimation_MRA:.5:.95:.05": 70.0, + "room_size_estimation_MRA:.5:.95:.05": 90.0, + "object_rel_distance_accuracy": 80.0, + "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": "50.765, 72.500, 42.857, 70.000, 90.000, 80.000, 0.000, 0.000" + } +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3110.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3110.json new file mode 100644 index 0000000000000000000000000000000000000000..8509f71a35f9b8c0c28ed36f98384a330a02fa55 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3110.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0575_01/3111.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3111.json new file mode 100644 index 0000000000000000000000000000000000000000..fb2c6b09cb28c24f80f635c2bf3b4385ece0b74b --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3111.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0575_01/3112.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3112.json new file mode 100644 index 0000000000000000000000000000000000000000..f08f7f1e7d2a182484ccabb17dc9dca01c5c18db --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3112.json @@ -0,0 +1,25 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0575_01/3420.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3420.json new file mode 100644 index 0000000000000000000000000000000000000000..ee8c58240ce56470f1be876b0668dde144e86952 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3420.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0575_01/3421.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3421.json new file mode 100644 index 0000000000000000000000000000000000000000..3d5e4ab75022e013ec6a3fa093e4335ef0cb86ed --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3421.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "126.0", + "answer_raw": "126.0", + "score": 0.2 +} \ No newline at end of file diff --git a/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3422.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3422.json new file mode 100644 index 0000000000000000000000000000000000000000..0192055c3d3edfb7266507eac4f483e6e6e3554e --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3422.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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/96/scene0575_01/3423.json b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3423.json new file mode 100644 index 0000000000000000000000000000000000000000..9283e07570ceadb32eda54d44292226fee2fd9e5 --- /dev/null +++ b/experiments/results/symbolic/metric/tracking/uniform/Select Representative Instances Using Track Persistence/96/scene0575_01/3423.json @@ -0,0 +1,20 @@ +{ + "model": "symbolic", + "condition": "metric:tracking:uniform:96", + "spatial_code_model": "sam3+depth-anything-3", + "depth": "metric", + "input": "uniform", + "tracking": "tracking", + "number_of_frames": 96, + "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": "106.0", + "answer_raw": "106.0", + "score": 0.0 +} \ No newline at end of file