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  1. 0213_txt_160f9afaaf59/input.json +7 -0
  2. 0213_txt_160f9afaaf59/tasks/004_relative_direction/question_0.json +53 -0
  3. 0213_txt_160f9afaaf59/tasks/004_relative_direction/question_1.json +53 -0
  4. 0213_txt_160f9afaaf59/tasks/004_relative_direction/question_2.json +53 -0
  5. 0213_txt_160f9afaaf59/tasks/004_relative_direction/question_3.json +53 -0
  6. 0213_txt_160f9afaaf59/tasks/004_relative_direction/question_4.json +53 -0
  7. 0213_txt_160f9afaaf59/tasks/004_relative_direction/question_5.json +53 -0
  8. 0213_txt_160f9afaaf59/tasks/004_relative_direction/question_6.json +53 -0
  9. 0213_txt_160f9afaaf59/tasks/004_relative_direction/question_7.json +53 -0
  10. 0213_txt_160f9afaaf59/tasks/004_relative_direction/question_8.json +53 -0
  11. 0213_txt_160f9afaaf59/tasks/004_relative_direction/question_9.json +53 -0
  12. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_0.json +53 -0
  13. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_1.json +53 -0
  14. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_10.json +53 -0
  15. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_11.json +53 -0
  16. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_12.json +53 -0
  17. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_13.json +53 -0
  18. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_14.json +53 -0
  19. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_15.json +53 -0
  20. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_16.json +53 -0
  21. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_17.json +53 -0
  22. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_18.json +53 -0
  23. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_19.json +53 -0
  24. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_2.json +53 -0
  25. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_20.json +53 -0
  26. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_21.json +53 -0
  27. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_22.json +53 -0
  28. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_23.json +53 -0
  29. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_24.json +53 -0
  30. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_25.json +53 -0
  31. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_26.json +53 -0
  32. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_27.json +53 -0
  33. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_28.json +53 -0
  34. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_29.json +53 -0
  35. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_3.json +53 -0
  36. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_30.json +53 -0
  37. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_31.json +53 -0
  38. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_32.json +53 -0
  39. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_33.json +53 -0
  40. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_34.json +53 -0
  41. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_35.json +53 -0
  42. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_36.json +53 -0
  43. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_37.json +53 -0
  44. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_38.json +53 -0
  45. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_39.json +53 -0
  46. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_4.json +53 -0
  47. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_40.json +53 -0
  48. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_41.json +53 -0
  49. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_42.json +53 -0
  50. 0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_43.json +53 -0
0213_txt_160f9afaaf59/input.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "prompt": "This compact residential kitchen features an L-shaped layout with dark wood-grain cabinetry lining the upper and lower walls, forming a tight corner workspace. The camera is positioned slightly to the right of center, offering a clear view of the stove, refrigerator, and countertop area. The space feels functional and modest, with appliances arranged for efficient workflow. Light beige laminate countertops contrast with the dark cabinets and flooring, while the white appliances provide a clean visual anchor. The lighting is even and neutral, likely from an overhead source, casting soft shadows and highlighting the textures of the surfaces without glare.\n\nThe overall mood is practical and unpretentious \u2014 a lived-in, no-frills kitchen designed for everyday use. The dark wood cabinets lend a touch of warmth, while the white appliances and light countertops keep the space from feeling too heavy. The presence of a single wok on the stove and utensils on the counter suggests recent or imminent cooking activity, adding a subtle sense of domestic life.\n\n- Refrigerator: Tall, white, two-door model with a top freezer; smooth, glossy finish; slightly scuffed on the door; positioned flush against the left wall, adjacent to the stove.\n- Electric stove: Cream-colored body with black glass oven door and control panel; four coil burners; digital clock displaying \u201c2:19\u201d; black wok resting on front-left burner; chrome handle across oven door; located in the corner between refrigerator and countertop.\n- Range hood: White, rectangular, wall-mounted above stove; matte plastic finish; vent slats visible on underside; centered over stove.\n- Upper cabinets: Dark wood-grain laminate, flat-panel doors; brushed metal handles; installed along both walls forming an L-shape; extend to ceiling; slightly reflective surface.\n- Countertop: Light beige laminate; smooth, non-porous surface; runs along right wall and wraps around corner; holds utensil holder and cutting board.\n- Utensil holder: Black cylindrical container; matte plastic; holds black spatulas and spoons; placed on countertop near stove.\n- Cutting board: Dark gray or black rectangular board; matte finish; leaning upright against backsplash on countertop.\n- Dishwasher: White, front-loading model; \u201cHotpoint\u201d brand visible on control panel; smooth, glossy finish; integrated under countertop on far right.\n- Lower cabinets: Match upper cabinets in material and finish; located beneath countertop; partially obscured by dishwasher and stove.\n- Floor: Dark brown laminate planks; wood grain texture; glossy finish; runs throughout visible area.\n- Wall: Off-white painted drywall; smooth, matte finish; visible behind appliances and cabinets.",
3
+ "meta_info": {
4
+ "image_pth": "/home/ubuntu/benchmarks/results/RoboSpatial/78.jpg",
5
+ "source": "RoboSpatial"
6
+ }
7
+ }
0213_txt_160f9afaaf59/tasks/004_relative_direction/question_0.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "Considering the camera's viewpoint, what is the direction of cutting board (blue bbox) from range hood (red bbox)? Calculate or judge based on the 3D center points of these objects. Choose from the options.",
4
+ "choices": [
5
+ "A. left, below, farther",
6
+ "B. left, above, farther",
7
+ "C. right, , farther",
8
+ "D. , above, farther"
9
+ ],
10
+ "answer": "A",
11
+ "camera_name": "rand_056",
12
+ "camera_position": [
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+ 0.29867544651247663,
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+ 0.08476146185544992,
15
+ 0.2807065021943167
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+ ],
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+ "camera_look_at": [
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+ -1.7732099917759099,
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+ -0.4440365941964458,
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+ -0.2934173097155326
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+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "cutting board",
25
+ "id": "cutting board_0",
26
+ "centroid": [
27
+ -0.8563882112503052,
28
+ -1.2807973623275757,
29
+ -0.309326171875
30
+ ],
31
+ "distance_to_camera": 1.8833644130273495,
32
+ "width": 0.16895031929016113,
33
+ "length": 0.24634277820587158,
34
+ "height": 0.3525390625
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "range hood",
39
+ "id": "range hood_0",
40
+ "centroid": [
41
+ -1.106343150138855,
42
+ 0.3988973796367645,
43
+ 0.3324218690395355
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+ ],
45
+ "distance_to_camera": 1.4406363562482802,
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+ "width": 0.64208984375,
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+ "length": 0.7256348133087158,
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+ "height": 0.08232420682907104
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+ },
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+ "scene_id": "0213_txt_160f9afaaf59",
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+ "layout_path": null,
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+ "image_path": "question_image_0.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/004_relative_direction/question_1.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "Looking at the image, what is the spatial position of dishwasher (blue bbox) compared to door (red bbox)? Calculate or judge based on the 3D center points of these objects. Select one option.",
4
+ "choices": [
5
+ "A. , , ",
6
+ "B. left, below, closer",
7
+ "C. right, , closer",
8
+ "D. right, below, "
9
+ ],
10
+ "answer": "B",
11
+ "camera_name": "rand_007",
12
+ "camera_position": [
13
+ -0.8411003849888319,
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+ -0.6707376165823056,
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+ 0.4038196553310376
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+ ],
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+ "camera_look_at": [
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+ 0.6164973045855544,
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+ 0.8605377213852665,
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+ -0.44178929677352174
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+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "dishwasher",
25
+ "id": "dishwasher_0",
26
+ "centroid": [
27
+ -0.2190239429473877,
28
+ 0.6012287139892578,
29
+ -0.69287109375
30
+ ],
31
+ "distance_to_camera": 1.7909796327626277,
32
+ "width": 0.5104687511920929,
33
+ "length": 0.4325878620147705,
34
+ "height": 0.30126953125
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "door",
39
+ "id": "door_0",
40
+ "centroid": [
41
+ 0.650086522102356,
42
+ 0.8984591364860535,
43
+ -0.44580078125
44
+ ],
45
+ "distance_to_camera": 2.3254831171127894,
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+ "width": 0.5966796875,
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+ "length": 0.76416015625,
48
+ "height": 1.55859375
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+ },
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+ "scene_id": "0213_txt_160f9afaaf59",
51
+ "layout_path": null,
52
+ "image_path": "question_image_1.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/004_relative_direction/question_2.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "In the provided image, describe the location of the utensil holder (blue bbox) with respect to the spoon (red bbox), considering the observer's viewpoint. Calculate or judge based on the 3D center points of these objects. Select the correct response from the given choices.",
4
+ "choices": [
5
+ "A. right, , closer",
6
+ "B. , below, ",
7
+ "C. left, above, ",
8
+ "D. left, below, closer"
9
+ ],
10
+ "answer": "B",
11
+ "camera_name": "rand_048",
12
+ "camera_position": [
13
+ -0.6392372638884465,
14
+ 0.05712678601235657,
15
+ -0.49478474168625364
16
+ ],
17
+ "camera_look_at": [
18
+ -0.29471625534563417,
19
+ -0.8981270403387935,
20
+ -0.5743813599517102
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "utensil holder",
25
+ "id": "utensil holder_0",
26
+ "centroid": [
27
+ -0.9182388782501221,
28
+ -0.8924827575683594,
29
+ -0.4134521484375
30
+ ],
31
+ "distance_to_camera": 0.9930836705940562,
32
+ "width": 0.14931654930114746,
33
+ "length": 0.18698740005493164,
34
+ "height": 0.157958984375
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "spoon",
39
+ "id": "spoon_0",
40
+ "centroid": [
41
+ -0.9424974918365479,
42
+ -0.8916162252426147,
43
+ -0.2708764672279358
44
+ ],
45
+ "distance_to_camera": 1.020889309686014,
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+ "width": 0.25961434841156006,
47
+ "length": 0.3774462938308716,
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+ "height": 0.14918458461761475
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+ },
50
+ "scene_id": "0213_txt_160f9afaaf59",
51
+ "layout_path": null,
52
+ "image_path": "question_image_2.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/004_relative_direction/question_3.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "Relative to cutting board (red bbox), where does utensil holder (blue bbox) appear from the observer's view? Calculate or judge based on the 3D center points of these objects. Select the appropriate choice.",
4
+ "choices": [
5
+ "A. right, below, closer",
6
+ "B. right, , farther",
7
+ "C. left, below, ",
8
+ "D. right, below, "
9
+ ],
10
+ "answer": "D",
11
+ "camera_name": "rand_029",
12
+ "camera_position": [
13
+ -0.2092630736461706,
14
+ -0.8778025574281365,
15
+ -0.2463579756008829
16
+ ],
17
+ "camera_look_at": [
18
+ -0.9560707384818818,
19
+ -0.918742964127473,
20
+ -0.4085926394861726
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "utensil holder",
25
+ "id": "utensil holder_0",
26
+ "centroid": [
27
+ -0.9182388782501221,
28
+ -0.8924827575683594,
29
+ -0.4134521484375
30
+ ],
31
+ "distance_to_camera": 0.7285483253607344,
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+ "width": 0.14931654930114746,
33
+ "length": 0.18698740005493164,
34
+ "height": 0.157958984375
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "cutting board",
39
+ "id": "cutting board_0",
40
+ "centroid": [
41
+ -0.8563882112503052,
42
+ -1.2807973623275757,
43
+ -0.309326171875
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+ ],
45
+ "distance_to_camera": 0.7649449328135476,
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+ "width": 0.16895031929016113,
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+ "length": 0.24634277820587158,
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+ "height": 0.3525390625
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+ },
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+ "scene_id": "0213_txt_160f9afaaf59",
51
+ "layout_path": null,
52
+ "image_path": "question_image_3.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/004_relative_direction/question_4.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "From the observer's point of view, how is refrigerator (blue bbox) situated in relation to utensil holder (red bbox)? Calculate or judge based on the 3D center points of these objects. Pick the right option.",
4
+ "choices": [
5
+ "A. , above, ",
6
+ "B. right, , ",
7
+ "C. left, , farther",
8
+ "D. , below, "
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "rand_005",
12
+ "camera_position": [
13
+ -0.9724880140698734,
14
+ 0.17649170911710912,
15
+ -0.15206342101110248
16
+ ],
17
+ "camera_look_at": [
18
+ -0.3065433943896707,
19
+ -0.9287594820436544,
20
+ -0.30717923512658585
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "refrigerator",
25
+ "id": "refrigerator_0",
26
+ "centroid": [
27
+ 0.7391531467437744,
28
+ -0.521213710308075,
29
+ -0.37158203125
30
+ ],
31
+ "distance_to_camera": 1.8613695860650514,
32
+ "width": 0.5458984375,
33
+ "length": 0.630279541015625,
34
+ "height": 1.27685546875
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "utensil holder",
39
+ "id": "utensil holder_0",
40
+ "centroid": [
41
+ -0.9182388782501221,
42
+ -0.8924827575683594,
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+ -0.4134521484375
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+ ],
45
+ "distance_to_camera": 1.1018046314970107,
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+ "width": 0.14931654930114746,
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+ "length": 0.18698740005493164,
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+ "height": 0.157958984375
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+ },
50
+ "scene_id": "0213_txt_160f9afaaf59",
51
+ "layout_path": null,
52
+ "image_path": "question_image_4.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/004_relative_direction/question_5.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "How would you describe the position of spoon (blue bbox) with respect to utensil holder (red bbox) in this image? Calculate or judge based on the 3D center points of these objects. Pick the correct response.",
4
+ "choices": [
5
+ "A. , below, farther",
6
+ "B. , above, ",
7
+ "C. , below, ",
8
+ "D. right, below, farther"
9
+ ],
10
+ "answer": "B",
11
+ "camera_name": "rand_027",
12
+ "camera_position": [
13
+ 0.17477627406306273,
14
+ -0.5594587827737109,
15
+ 0.3016455783422447
16
+ ],
17
+ "camera_look_at": [
18
+ -0.3218417281228265,
19
+ -0.8667565529173993,
20
+ -0.3289817685416341
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "spoon",
25
+ "id": "spoon_0",
26
+ "centroid": [
27
+ -0.9424974918365479,
28
+ -0.8916162252426147,
29
+ -0.2708764672279358
30
+ ],
31
+ "distance_to_camera": 1.298618776708101,
32
+ "width": 0.25961434841156006,
33
+ "length": 0.3774462938308716,
34
+ "height": 0.14918458461761475
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "utensil holder",
39
+ "id": "utensil holder_0",
40
+ "centroid": [
41
+ -0.9182388782501221,
42
+ -0.8924827575683594,
43
+ -0.4134521484375
44
+ ],
45
+ "distance_to_camera": 1.3479435632918018,
46
+ "width": 0.14931654930114746,
47
+ "length": 0.18698740005493164,
48
+ "height": 0.157958984375
49
+ },
50
+ "scene_id": "0213_txt_160f9afaaf59",
51
+ "layout_path": null,
52
+ "image_path": "question_image_5.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/004_relative_direction/question_6.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "From the viewer's perspective, in which direction is dishwasher (blue bbox) located relative to door (red bbox)? Calculate or judge based on the 3D center points of these objects. Choose the right answer.",
4
+ "choices": [
5
+ "A. left, , farther",
6
+ "B. right, , closer",
7
+ "C. left, below, closer",
8
+ "D. left, , closer"
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "rand_043",
12
+ "camera_position": [
13
+ -0.737669985085529,
14
+ -0.7112316761834867,
15
+ 0.04669284139610763
16
+ ],
17
+ "camera_look_at": [
18
+ 0.5820203076382462,
19
+ 0.9217547704402209,
20
+ -0.43314508392160245
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "dishwasher",
25
+ "id": "dishwasher_0",
26
+ "centroid": [
27
+ -0.2190239429473877,
28
+ 0.6012287139892578,
29
+ -0.69287109375
30
+ ],
31
+ "distance_to_camera": 1.5932673369421553,
32
+ "width": 0.5104687511920929,
33
+ "length": 0.4325878620147705,
34
+ "height": 0.30126953125
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "door",
39
+ "id": "door_0",
40
+ "centroid": [
41
+ 0.650086522102356,
42
+ 0.8984591364860535,
43
+ -0.44580078125
44
+ ],
45
+ "distance_to_camera": 2.18163301313079,
46
+ "width": 0.5966796875,
47
+ "length": 0.76416015625,
48
+ "height": 1.55859375
49
+ },
50
+ "scene_id": "0213_txt_160f9afaaf59",
51
+ "layout_path": null,
52
+ "image_path": "question_image_6.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/004_relative_direction/question_7.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "From the observer's point of view, how is range hood (blue bbox) situated in relation to cutting board (red bbox)? Calculate or judge based on the 3D center points of these objects. Pick the right option.",
4
+ "choices": [
5
+ "A. , above, farther",
6
+ "B. left, , ",
7
+ "C. left, above, closer",
8
+ "D. right, above, closer"
9
+ ],
10
+ "answer": "D",
11
+ "camera_name": "rand_056",
12
+ "camera_position": [
13
+ 0.29867544651247663,
14
+ 0.08476146185544992,
15
+ 0.2807065021943167
16
+ ],
17
+ "camera_look_at": [
18
+ -1.7732099917759099,
19
+ -0.4440365941964458,
20
+ -0.2934173097155326
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "range hood",
25
+ "id": "range hood_0",
26
+ "centroid": [
27
+ -1.106343150138855,
28
+ 0.3988973796367645,
29
+ 0.3324218690395355
30
+ ],
31
+ "distance_to_camera": 1.4406363562482802,
32
+ "width": 0.64208984375,
33
+ "length": 0.7256348133087158,
34
+ "height": 0.08232420682907104
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "cutting board",
39
+ "id": "cutting board_0",
40
+ "centroid": [
41
+ -0.8563882112503052,
42
+ -1.2807973623275757,
43
+ -0.309326171875
44
+ ],
45
+ "distance_to_camera": 1.8833644130273495,
46
+ "width": 0.16895031929016113,
47
+ "length": 0.24634277820587158,
48
+ "height": 0.3525390625
49
+ },
50
+ "scene_id": "0213_txt_160f9afaaf59",
51
+ "layout_path": null,
52
+ "image_path": "question_image_7.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/004_relative_direction/question_8.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "From the observer's point of view, how is electrical outlet (blue bbox) situated in relation to sink (red bbox)? Calculate or judge based on the 3D center points of these objects. Pick the right option.",
4
+ "choices": [
5
+ "A. right, , ",
6
+ "B. left, above, ",
7
+ "C. left, , closer",
8
+ "D. left, , farther"
9
+ ],
10
+ "answer": "B",
11
+ "camera_name": "rand_038",
12
+ "camera_position": [
13
+ -0.6607215017322738,
14
+ -0.5969118848344264,
15
+ -0.010385866010071299
16
+ ],
17
+ "camera_look_at": [
18
+ -1.5576207732697085,
19
+ 0.2138114329420735,
20
+ -0.3303617065366063
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "electrical outlet",
25
+ "id": "electrical outlet_2",
26
+ "centroid": [
27
+ -1.7189778089523315,
28
+ -0.39708176255226135,
29
+ -0.3388037085533142
30
+ ],
31
+ "distance_to_camera": 1.1259204096396407,
32
+ "width": 0.055820345878601074,
33
+ "length": 0.053759753704071045,
34
+ "height": 0.11237305402755737
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "sink",
39
+ "id": "sink_0",
40
+ "centroid": [
41
+ -1.046884536743164,
42
+ 0.4459700882434845,
43
+ -0.542724609375
44
+ ],
45
+ "distance_to_camera": 1.2329271012785183,
46
+ "width": 0.7661816477775574,
47
+ "length": 0.70361328125,
48
+ "height": 0.23583984375
49
+ },
50
+ "scene_id": "0213_txt_160f9afaaf59",
51
+ "layout_path": null,
52
+ "image_path": "question_image_8.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/004_relative_direction/question_9.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "How would you describe the position of sink (blue bbox) with respect to electrical outlet (red bbox) in this image? Calculate or judge based on the 3D center points of these objects. Pick the correct response.",
4
+ "choices": [
5
+ "A. right, above, farther",
6
+ "B. right, below, ",
7
+ "C. left, below, closer",
8
+ "D. , , farther"
9
+ ],
10
+ "answer": "B",
11
+ "camera_name": "rand_038",
12
+ "camera_position": [
13
+ -0.6607215017322738,
14
+ -0.5969118848344264,
15
+ -0.010385866010071299
16
+ ],
17
+ "camera_look_at": [
18
+ -1.5576207732697085,
19
+ 0.2138114329420735,
20
+ -0.3303617065366063
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "sink",
25
+ "id": "sink_0",
26
+ "centroid": [
27
+ -1.046884536743164,
28
+ 0.4459700882434845,
29
+ -0.542724609375
30
+ ],
31
+ "distance_to_camera": 1.2329271012785183,
32
+ "width": 0.7661816477775574,
33
+ "length": 0.70361328125,
34
+ "height": 0.23583984375
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "electrical outlet",
39
+ "id": "electrical outlet_2",
40
+ "centroid": [
41
+ -1.7189778089523315,
42
+ -0.39708176255226135,
43
+ -0.3388037085533142
44
+ ],
45
+ "distance_to_camera": 1.1259204096396407,
46
+ "width": 0.055820345878601074,
47
+ "length": 0.053759753704071045,
48
+ "height": 0.11237305402755737
49
+ },
50
+ "scene_id": "0213_txt_160f9afaaf59",
51
+ "layout_path": null,
52
+ "image_path": "question_image_9.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_0.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Based on the red bbox of utensil holder in the first image, locate its bounding box in the second image. Pick the appropriate answer from the options given.\nA. [526, 498, 999, 659]\nB. [121, 463, 219, 568]\nC. [635, 445, 662, 509]\nD. [577, 0, 990, 184]\nYour answer can only include one of the options A, B, C, or D.",
4
+ "choices": [
5
+ "A. [526, 498, 999, 659]",
6
+ "B. [121, 463, 219, 568]",
7
+ "C. [635, 445, 662, 509]",
8
+ "D. [577, 0, 990, 184]"
9
+ ],
10
+ "answer": "B",
11
+ "camera_a": {
12
+ "name": "rand_040",
13
+ "position": [
14
+ -0.4969963049019852,
15
+ 0.2924843209200986,
16
+ 0.05604894651076209
17
+ ],
18
+ "look_at": [
19
+ -1.016364475157837,
20
+ -0.8542731794978564,
21
+ -0.2860225677386833
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_063",
26
+ "position": [
27
+ 0.2379153502543948,
28
+ 0.10611451305060143,
29
+ -0.32841804886169834
30
+ ],
31
+ "look_at": [
32
+ -1.7596600623793035,
33
+ -0.28066899638124937,
34
+ -0.40063651115047033
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "utensil holder",
39
+ "id": "utensil holder_0",
40
+ "centroid": [
41
+ -0.9182388782501221,
42
+ -0.8924827575683594,
43
+ -0.4134521484375
44
+ ],
45
+ "width": 0.14931654930114746,
46
+ "length": 0.18698740005493164,
47
+ "height": 0.157958984375
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_0_a.jpg",
52
+ "image_path_b": "question_image_0_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_1.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Find the matching bounding box for utensil holder (red bbox in image 1) in the second image.\nA. [350, 362, 435, 566]\nB. [403, 436, 570, 536]\nC. [854, 506, 926, 610]\nD. [430, 516, 540, 628]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [350, 362, 435, 566]",
6
+ "B. [403, 436, 570, 536]",
7
+ "C. [854, 506, 926, 610]",
8
+ "D. [430, 516, 540, 628]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_003",
13
+ "position": [
14
+ -0.5162122016345241,
15
+ -0.1742242009547471,
16
+ 0.3647714284148327
17
+ ],
18
+ "look_at": [
19
+ -0.7523532345831383,
20
+ -1.2523848279483063,
21
+ -0.33961657970950276
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_040",
26
+ "position": [
27
+ -0.4969963049019852,
28
+ 0.2924843209200986,
29
+ 0.05604894651076209
30
+ ],
31
+ "look_at": [
32
+ -1.016364475157837,
33
+ -0.8542731794978564,
34
+ -0.2860225677386833
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "utensil holder",
39
+ "id": "utensil holder_0",
40
+ "centroid": [
41
+ -0.9182388782501221,
42
+ -0.8924827575683594,
43
+ -0.4134521484375
44
+ ],
45
+ "width": 0.14931654930114746,
46
+ "length": 0.18698740005493164,
47
+ "height": 0.157958984375
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_1_a.jpg",
52
+ "image_path_b": "question_image_1_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_10.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Identify which bounding box in the second image matches the electrical outlet (red bbox) from the first image.\nA. [288, 404, 432, 503]\nB. [334, 489, 411, 598]\nC. [904, 452, 955, 541]\nD. [652, 416, 692, 488]\nYour answer should be A, B, C, or D.",
4
+ "choices": [
5
+ "A. [288, 404, 432, 503]",
6
+ "B. [334, 489, 411, 598]",
7
+ "C. [904, 452, 955, 541]",
8
+ "D. [652, 416, 692, 488]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_062",
13
+ "position": [
14
+ -0.3570162354403733,
15
+ 0.21309839862258592,
16
+ -0.11962323230317518
17
+ ],
18
+ "look_at": [
19
+ -1.0553345462842116,
20
+ 0.4544293757324052,
21
+ -0.5080440353515254
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "view_010",
26
+ "position": [
27
+ -0.0,
28
+ -0.0,
29
+ 0.0
30
+ ],
31
+ "look_at": [
32
+ -8.36516284942627,
33
+ -4.829628944396973,
34
+ -2.5881905555725098
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "electrical outlet",
39
+ "id": "electrical outlet_1",
40
+ "centroid": [
41
+ -1.626519799232483,
42
+ 0.23113873600959778,
43
+ -0.3452417105436325
44
+ ],
45
+ "width": 0.06263673305511475,
46
+ "length": 0.048583984375,
47
+ "height": 0.11447754502296448
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_10_a.jpg",
52
+ "image_path_b": "question_image_10_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_11.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Match the cutting board (red bbox, first image) to its bounding box in the second image.\nA. [898, 113, 960, 194]\nB. [405, 40, 521, 311]\nC. [564, 215, 674, 359]\nD. [523, 119, 727, 267]\nRespond with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [898, 113, 960, 194]",
6
+ "B. [405, 40, 521, 311]",
7
+ "C. [564, 215, 674, 359]",
8
+ "D. [523, 119, 727, 267]"
9
+ ],
10
+ "answer": "B",
11
+ "camera_a": {
12
+ "name": "rand_022",
13
+ "position": [
14
+ -1.0288920846426184,
15
+ -0.09903416241667394,
16
+ -0.43901508048038074
17
+ ],
18
+ "look_at": [
19
+ -0.25293678665474517,
20
+ -0.869841079471161,
21
+ -0.5421291321590713
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_027",
26
+ "position": [
27
+ 0.17477627406306273,
28
+ -0.5594587827737109,
29
+ 0.3016455783422447
30
+ ],
31
+ "look_at": [
32
+ -0.3218417281228265,
33
+ -0.8667565529173993,
34
+ -0.3289817685416341
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "cutting board",
39
+ "id": "cutting board_0",
40
+ "centroid": [
41
+ -0.8563882112503052,
42
+ -1.2807973623275757,
43
+ -0.309326171875
44
+ ],
45
+ "width": 0.16895031929016113,
46
+ "length": 0.24634277820587158,
47
+ "height": 0.3525390625
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_11_a.jpg",
52
+ "image_path_b": "question_image_11_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_12.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Based on the red bbox of utensil holder in the first image, locate its bounding box in the second image. Pick the appropriate answer from the options given.\nA. [749, 425, 999, 608]\nB. [764, 544, 987, 697]\nC. [0, 145, 238, 882]\nD. [735, 370, 838, 607]\nYour answer can only include one of the options A, B, C, or D.",
4
+ "choices": [
5
+ "A. [749, 425, 999, 608]",
6
+ "B. [764, 544, 987, 697]",
7
+ "C. [0, 145, 238, 882]",
8
+ "D. [735, 370, 838, 607]"
9
+ ],
10
+ "answer": "B",
11
+ "camera_a": {
12
+ "name": "rand_018",
13
+ "position": [
14
+ -0.4692543531037172,
15
+ -0.41831212284959735,
16
+ 0.447587675908534
17
+ ],
18
+ "look_at": [
19
+ -0.28894152021225883,
20
+ -0.8274211509137371,
21
+ -0.31281699056038326
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_005",
26
+ "position": [
27
+ -0.9724880140698734,
28
+ 0.17649170911710912,
29
+ -0.15206342101110248
30
+ ],
31
+ "look_at": [
32
+ -0.3065433943896707,
33
+ -0.9287594820436544,
34
+ -0.30717923512658585
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "utensil holder",
39
+ "id": "utensil holder_0",
40
+ "centroid": [
41
+ -0.9182388782501221,
42
+ -0.8924827575683594,
43
+ -0.4134521484375
44
+ ],
45
+ "width": 0.14931654930114746,
46
+ "length": 0.18698740005493164,
47
+ "height": 0.157958984375
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_12_a.jpg",
52
+ "image_path_b": "question_image_12_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_13.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Match the cutting board (red bbox, first image) to its bounding box in the second image.\nA. [898, 113, 960, 194]\nB. [564, 215, 674, 359]\nC. [405, 40, 521, 311]\nD. [523, 119, 727, 267]\nRespond with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [898, 113, 960, 194]",
6
+ "B. [564, 215, 674, 359]",
7
+ "C. [405, 40, 521, 311]",
8
+ "D. [523, 119, 727, 267]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_058",
13
+ "position": [
14
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15
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16
+ 0.32520905733286964
17
+ ],
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+ "look_at": [
19
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20
+ -1.3054794131868812,
21
+ -0.28885736328665357
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_027",
26
+ "position": [
27
+ 0.17477627406306273,
28
+ -0.5594587827737109,
29
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+ -0.8667565529173993,
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35
+ ]
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+ },
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+ "object": {
38
+ "label": "cutting board",
39
+ "id": "cutting board_0",
40
+ "centroid": [
41
+ -0.8563882112503052,
42
+ -1.2807973623275757,
43
+ -0.309326171875
44
+ ],
45
+ "width": 0.16895031929016113,
46
+ "length": 0.24634277820587158,
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+ "height": 0.3525390625
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+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_13_a.jpg",
52
+ "image_path_b": "question_image_13_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_14.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The cutting board is marked with a red bbox in the first image. Which bounding box in the second image corresponds to the same object? Choose from:\nA. [497, 493, 523, 548]\nB. [625, 210, 999, 302]\nC. [66, 480, 176, 695]\nD. [226, 596, 293, 695]\nAnswer with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [497, 493, 523, 548]",
6
+ "B. [625, 210, 999, 302]",
7
+ "C. [66, 480, 176, 695]",
8
+ "D. [226, 596, 293, 695]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_025",
13
+ "position": [
14
+ -0.1611780338130271,
15
+ -0.08532711246758065,
16
+ 0.11716399776224762
17
+ ],
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+ "look_at": [
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+ -0.3169673711504453,
20
+ -0.8877414874593403,
21
+ -0.3548875696177254
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+ ]
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+ },
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+ "camera_b": {
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+ "name": "rand_056",
26
+ "position": [
27
+ 0.29867544651247663,
28
+ 0.08476146185544992,
29
+ 0.2807065021943167
30
+ ],
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32
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33
+ -0.4440365941964458,
34
+ -0.2934173097155326
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "cutting board",
39
+ "id": "cutting board_0",
40
+ "centroid": [
41
+ -0.8563882112503052,
42
+ -1.2807973623275757,
43
+ -0.309326171875
44
+ ],
45
+ "width": 0.16895031929016113,
46
+ "length": 0.24634277820587158,
47
+ "height": 0.3525390625
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_14_a.jpg",
52
+ "image_path_b": "question_image_14_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_15.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The utensil holder is marked with a red bbox in the first image. Which bounding box in the second image corresponds to the same object? Choose from:\nA. [625, 210, 999, 302]\nB. [564, 625, 996, 970]\nC. [177, 522, 314, 613]\nD. [226, 596, 293, 695]\nAnswer with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [625, 210, 999, 302]",
6
+ "B. [564, 625, 996, 970]",
7
+ "C. [177, 522, 314, 613]",
8
+ "D. [226, 596, 293, 695]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_052",
13
+ "position": [
14
+ -0.03174354051285749,
15
+ -0.8034902888998012,
16
+ -0.06223330657904791
17
+ ],
18
+ "look_at": [
19
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20
+ 0.2095399383841583,
21
+ -0.35452117612483464
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_056",
26
+ "position": [
27
+ 0.29867544651247663,
28
+ 0.08476146185544992,
29
+ 0.2807065021943167
30
+ ],
31
+ "look_at": [
32
+ -1.7732099917759099,
33
+ -0.4440365941964458,
34
+ -0.2934173097155326
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "utensil holder",
39
+ "id": "utensil holder_0",
40
+ "centroid": [
41
+ -0.9182388782501221,
42
+ -0.8924827575683594,
43
+ -0.4134521484375
44
+ ],
45
+ "width": 0.14931654930114746,
46
+ "length": 0.18698740005493164,
47
+ "height": 0.157958984375
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_15_a.jpg",
52
+ "image_path_b": "question_image_15_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_16.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "In the first image, cutting board is bounded by a red box. Which bounding box in the second image shows the same object?\nA. [40, 526, 188, 774]\nB. [647, 481, 675, 536]\nC. [228, 630, 324, 734]\nD. [591, 573, 962, 885]\nChoose A, B, C, or D.",
4
+ "choices": [
5
+ "A. [40, 526, 188, 774]",
6
+ "B. [647, 481, 675, 536]",
7
+ "C. [228, 630, 324, 734]",
8
+ "D. [591, 573, 962, 885]"
9
+ ],
10
+ "answer": "A",
11
+ "camera_a": {
12
+ "name": "rand_055",
13
+ "position": [
14
+ 0.05813840770908134,
15
+ -0.39374682356878304,
16
+ -0.5094943126577558
17
+ ],
18
+ "look_at": [
19
+ -0.2562438864493941,
20
+ -0.8639245830133185,
21
+ -0.6113840036386277
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_049",
26
+ "position": [
27
+ 0.2947709739165594,
28
+ -0.353761522430007,
29
+ 0.46931612322732397
30
+ ],
31
+ "look_at": [
32
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33
+ -0.3680966444457685,
34
+ -0.3592365456976858
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "cutting board",
39
+ "id": "cutting board_0",
40
+ "centroid": [
41
+ -0.8563882112503052,
42
+ -1.2807973623275757,
43
+ -0.309326171875
44
+ ],
45
+ "width": 0.16895031929016113,
46
+ "length": 0.24634277820587158,
47
+ "height": 0.3525390625
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_16_a.jpg",
52
+ "image_path_b": "question_image_16_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_17.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Identify which bounding box in the second image matches the spoon (red bbox) from the first image.\nA. [902, 491, 952, 568]\nB. [549, 455, 670, 538]\nC. [578, 523, 645, 614]\nD. [462, 402, 545, 577]\nYour answer should be A, B, C, or D.",
4
+ "choices": [
5
+ "A. [902, 491, 952, 568]",
6
+ "B. [549, 455, 670, 538]",
7
+ "C. [578, 523, 645, 614]",
8
+ "D. [462, 402, 545, 577]"
9
+ ],
10
+ "answer": "B",
11
+ "camera_a": {
12
+ "name": "rand_014",
13
+ "position": [
14
+ -0.1621918416184197,
15
+ -0.6569104047843046,
16
+ -0.45787046510733787
17
+ ],
18
+ "look_at": [
19
+ -0.8989991892527837,
20
+ -1.3115327024994006,
21
+ -0.5654905203046776
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_028",
26
+ "position": [
27
+ 0.1897269873162531,
28
+ 0.19225304192330678,
29
+ 0.009778303054439164
30
+ ],
31
+ "look_at": [
32
+ -0.8323228373243284,
33
+ -1.257825452134338,
34
+ -0.3130153058928587
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "spoon",
39
+ "id": "spoon_0",
40
+ "centroid": [
41
+ -0.9424974918365479,
42
+ -0.8916162252426147,
43
+ -0.2708764672279358
44
+ ],
45
+ "width": 0.25961434841156006,
46
+ "length": 0.3774462938308716,
47
+ "height": 0.14918458461761475
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_17_a.jpg",
52
+ "image_path_b": "question_image_17_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_18.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Locate the spoon shown by the red bbox in image 1 within the second image. Which option matches?\nA. [526, 498, 999, 659]\nB. [577, 0, 990, 184]\nC. [453, 446, 482, 503]\nD. [84, 382, 244, 510]\nAnswer A, B, C, or D.",
4
+ "choices": [
5
+ "A. [526, 498, 999, 659]",
6
+ "B. [577, 0, 990, 184]",
7
+ "C. [453, 446, 482, 503]",
8
+ "D. [84, 382, 244, 510]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_005",
13
+ "position": [
14
+ -0.9724880140698734,
15
+ 0.17649170911710912,
16
+ -0.15206342101110248
17
+ ],
18
+ "look_at": [
19
+ -0.3065433943896707,
20
+ -0.9287594820436544,
21
+ -0.30717923512658585
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_063",
26
+ "position": [
27
+ 0.2379153502543948,
28
+ 0.10611451305060143,
29
+ -0.32841804886169834
30
+ ],
31
+ "look_at": [
32
+ -1.7596600623793035,
33
+ -0.28066899638124937,
34
+ -0.40063651115047033
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "spoon",
39
+ "id": "spoon_0",
40
+ "centroid": [
41
+ -0.9424974918365479,
42
+ -0.8916162252426147,
43
+ -0.2708764672279358
44
+ ],
45
+ "width": 0.25961434841156006,
46
+ "length": 0.3774462938308716,
47
+ "height": 0.14918458461761475
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_18_a.jpg",
52
+ "image_path_b": "question_image_18_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_19.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Locate the cutting board shown by the red bbox in image 1 within the second image. Which option matches?\nA. [0, 450, 152, 736]\nB. [489, 472, 513, 530]\nC. [650, 151, 999, 247]\nD. [614, 571, 999, 830]\nAnswer A, B, C, or D.",
4
+ "choices": [
5
+ "A. [0, 450, 152, 736]",
6
+ "B. [489, 472, 513, 530]",
7
+ "C. [650, 151, 999, 247]",
8
+ "D. [614, 571, 999, 830]"
9
+ ],
10
+ "answer": "A",
11
+ "camera_a": {
12
+ "name": "rand_011",
13
+ "position": [
14
+ -0.20168401542591968,
15
+ 0.20039090833316325,
16
+ 0.43316157506206165
17
+ ],
18
+ "look_at": [
19
+ -0.8239689560464238,
20
+ -1.3307167962338369,
21
+ -0.30321936585126297
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_016",
26
+ "position": [
27
+ 0.2773269034376208,
28
+ -0.3984398630414319,
29
+ 0.07449759174154869
30
+ ],
31
+ "look_at": [
32
+ -1.644839375530475,
33
+ -0.3945925926464707,
34
+ -0.31618930258307265
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "cutting board",
39
+ "id": "cutting board_0",
40
+ "centroid": [
41
+ -0.8563882112503052,
42
+ -1.2807973623275757,
43
+ -0.309326171875
44
+ ],
45
+ "width": 0.16895031929016113,
46
+ "length": 0.24634277820587158,
47
+ "height": 0.3525390625
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_19_a.jpg",
52
+ "image_path_b": "question_image_19_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_2.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The spoon is marked with a red bbox in the first image. Which bounding box in the second image corresponds to the same object? Choose from:\nA. [832, 429, 891, 515]\nB. [359, 358, 454, 539]\nC. [454, 461, 553, 560]\nD. [435, 378, 580, 489]\nAnswer with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [832, 429, 891, 515]",
6
+ "B. [359, 358, 454, 539]",
7
+ "C. [454, 461, 553, 560]",
8
+ "D. [435, 378, 580, 489]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_035",
13
+ "position": [
14
+ -0.44313778622623046,
15
+ 0.19704235625307448,
16
+ -0.1707220807724359
17
+ ],
18
+ "look_at": [
19
+ -0.3074403198870068,
20
+ -0.8780630663380785,
21
+ -0.28438261313604846
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_032",
26
+ "position": [
27
+ -0.1890194893849747,
28
+ 0.3031093094011262,
29
+ -0.2788793993346329
30
+ ],
31
+ "look_at": [
32
+ -0.9749383714970237,
33
+ -0.9189161357795091,
34
+ -0.3908757879504373
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "spoon",
39
+ "id": "spoon_0",
40
+ "centroid": [
41
+ -0.9424974918365479,
42
+ -0.8916162252426147,
43
+ -0.2708764672279358
44
+ ],
45
+ "width": 0.25961434841156006,
46
+ "length": 0.3774462938308716,
47
+ "height": 0.14918458461761475
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_2_a.jpg",
52
+ "image_path_b": "question_image_2_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_20.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Match the cutting board (red bbox, first image) to its bounding box in the second image.\nA. [334, 489, 411, 598]\nB. [652, 416, 692, 488]\nC. [288, 404, 432, 503]\nD. [172, 345, 286, 571]\nRespond with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [334, 489, 411, 598]",
6
+ "B. [652, 416, 692, 488]",
7
+ "C. [288, 404, 432, 503]",
8
+ "D. [172, 345, 286, 571]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_001",
13
+ "position": [
14
+ 0.06179946361880817,
15
+ 0.07630494697884727,
16
+ -0.49723488808194327
17
+ ],
18
+ "look_at": [
19
+ -0.25673784187488324,
20
+ -0.87283044546889,
21
+ -0.627621028594847
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "view_010",
26
+ "position": [
27
+ -0.0,
28
+ -0.0,
29
+ 0.0
30
+ ],
31
+ "look_at": [
32
+ -8.36516284942627,
33
+ -4.829628944396973,
34
+ -2.5881905555725098
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "cutting board",
39
+ "id": "cutting board_0",
40
+ "centroid": [
41
+ -0.8563882112503052,
42
+ -1.2807973623275757,
43
+ -0.309326171875
44
+ ],
45
+ "width": 0.16895031929016113,
46
+ "length": 0.24634277820587158,
47
+ "height": 0.3525390625
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_20_a.jpg",
52
+ "image_path_b": "question_image_20_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_21.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Using the red bbox of electrical outlet in the first image as reference, find its location in the second image.\nA. [278, 463, 312, 556]\nB. [510, 458, 551, 525]\nC. [523, 0, 999, 163]\nD. [548, 528, 999, 753]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [278, 463, 312, 556]",
6
+ "B. [510, 458, 551, 525]",
7
+ "C. [523, 0, 999, 163]",
8
+ "D. [548, 528, 999, 753]"
9
+ ],
10
+ "answer": "A",
11
+ "camera_a": {
12
+ "name": "rand_027",
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+ "position": [
14
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15
+ -0.5594587827737109,
16
+ 0.3016455783422447
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+ ],
18
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+ -0.8667565529173993,
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+ -0.3289817685416341
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+ ]
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+ "camera_b": {
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+ "position": [
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+ "object": {
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+ "label": "electrical outlet",
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+ "id": "electrical outlet_2",
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+ "layout_path": null,
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+ "image_path_a": "question_image_21_a.jpg",
52
+ "image_path_b": "question_image_21_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_22.json ADDED
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1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The red bbox in the first image highlights the cutting board. Identify the correct bounding box for the same object in the second image.\nA. [742, 486, 790, 564]\nB. [297, 389, 389, 580]\nC. [371, 455, 514, 543]\nD. [402, 525, 491, 627]\nPick one: A, B, C, or D.",
4
+ "choices": [
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+ "A. [742, 486, 790, 564]",
6
+ "B. [297, 389, 389, 580]",
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+ "C. [371, 455, 514, 543]",
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+ "D. [402, 525, 491, 627]"
9
+ ],
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+ "answer": "B",
11
+ "camera_a": {
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+ "name": "rand_056",
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+ "position": [
14
+ 0.29867544651247663,
15
+ 0.08476146185544992,
16
+ 0.2807065021943167
17
+ ],
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19
+ -1.7732099917759099,
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+ -0.4440365941964458,
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+ -0.2934173097155326
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+ ]
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+ },
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+ "camera_b": {
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+ "name": "rand_008",
26
+ "position": [
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29
+ 0.0887176334847175
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+ ]
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+ },
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+ "object": {
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+ "label": "cutting board",
39
+ "id": "cutting board_0",
40
+ "centroid": [
41
+ -0.8563882112503052,
42
+ -1.2807973623275757,
43
+ -0.309326171875
44
+ ],
45
+ "width": 0.16895031929016113,
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+ "length": 0.24634277820587158,
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+ "height": 0.3525390625
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+ },
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+ "scene_id": "0213_txt_160f9afaaf59",
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+ "layout_path": null,
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+ "image_path_a": "question_image_22_a.jpg",
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+ "image_path_b": "question_image_22_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_23.json ADDED
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1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Find the matching bounding box for utensil holder (red bbox in image 1) in the second image.\nA. [832, 429, 891, 515]\nB. [359, 358, 454, 539]\nC. [435, 378, 580, 489]\nD. [454, 461, 553, 560]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [832, 429, 891, 515]",
6
+ "B. [359, 358, 454, 539]",
7
+ "C. [435, 378, 580, 489]",
8
+ "D. [454, 461, 553, 560]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
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+ "name": "rand_025",
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+ "position": [
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+ -0.1611780338130271,
15
+ -0.08532711246758065,
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+ 0.11716399776224762
17
+ ],
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+ "look_at": [
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+ -0.8877414874593403,
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+ -0.3548875696177254
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+ ]
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+ },
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+ "camera_b": {
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+ "name": "rand_032",
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+ "position": [
27
+ -0.1890194893849747,
28
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29
+ -0.2788793993346329
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+ -0.3908757879504373
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+ ]
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+ },
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+ "object": {
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+ "label": "utensil holder",
39
+ "id": "utensil holder_0",
40
+ "centroid": [
41
+ -0.9182388782501221,
42
+ -0.8924827575683594,
43
+ -0.4134521484375
44
+ ],
45
+ "width": 0.14931654930114746,
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+ "length": 0.18698740005493164,
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+ "height": 0.157958984375
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+ },
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+ "scene_id": "0213_txt_160f9afaaf59",
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+ "layout_path": null,
51
+ "image_path_a": "question_image_23_a.jpg",
52
+ "image_path_b": "question_image_23_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_24.json ADDED
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1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Locate the utensil holder shown by the red bbox in image 1 within the second image. Which option matches?\nA. [650, 151, 999, 247]\nB. [203, 585, 312, 701]\nC. [0, 450, 152, 736]\nD. [614, 571, 999, 830]\nAnswer A, B, C, or D.",
4
+ "choices": [
5
+ "A. [650, 151, 999, 247]",
6
+ "B. [203, 585, 312, 701]",
7
+ "C. [0, 450, 152, 736]",
8
+ "D. [614, 571, 999, 830]"
9
+ ],
10
+ "answer": "B",
11
+ "camera_a": {
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+ "name": "rand_045",
13
+ "position": [
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+ -0.6306916361928802,
15
+ -0.4628375122118342,
16
+ 0.18291562928077987
17
+ ],
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+ "look_at": [
19
+ -0.7817024537073881,
20
+ -1.2809980123710567,
21
+ -0.31002705209059744
22
+ ]
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+ },
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+ "camera_b": {
25
+ "name": "rand_016",
26
+ "position": [
27
+ 0.2773269034376208,
28
+ -0.3984398630414319,
29
+ 0.07449759174154869
30
+ ],
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32
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33
+ -0.3945925926464707,
34
+ -0.31618930258307265
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+ ]
36
+ },
37
+ "object": {
38
+ "label": "utensil holder",
39
+ "id": "utensil holder_0",
40
+ "centroid": [
41
+ -0.9182388782501221,
42
+ -0.8924827575683594,
43
+ -0.4134521484375
44
+ ],
45
+ "width": 0.14931654930114746,
46
+ "length": 0.18698740005493164,
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+ "height": 0.157958984375
48
+ },
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+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_24_a.jpg",
52
+ "image_path_b": "question_image_24_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_25.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "In the first image, spoon is bounded by a red box. Which bounding box in the second image shows the same object?\nA. [66, 480, 176, 695]\nB. [177, 522, 314, 613]\nC. [625, 210, 999, 302]\nD. [667, 520, 693, 580]\nChoose A, B, C, or D.",
4
+ "choices": [
5
+ "A. [66, 480, 176, 695]",
6
+ "B. [177, 522, 314, 613]",
7
+ "C. [625, 210, 999, 302]",
8
+ "D. [667, 520, 693, 580]"
9
+ ],
10
+ "answer": "B",
11
+ "camera_a": {
12
+ "name": "rand_039",
13
+ "position": [
14
+ -0.6789987645119078,
15
+ -0.15303423472454564,
16
+ -0.24151114004322916
17
+ ],
18
+ "look_at": [
19
+ -0.9253761981610253,
20
+ -1.371996126178599,
21
+ -0.33332662100654525
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_056",
26
+ "position": [
27
+ 0.29867544651247663,
28
+ 0.08476146185544992,
29
+ 0.2807065021943167
30
+ ],
31
+ "look_at": [
32
+ -1.7732099917759099,
33
+ -0.4440365941964458,
34
+ -0.2934173097155326
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "spoon",
39
+ "id": "spoon_0",
40
+ "centroid": [
41
+ -0.9424974918365479,
42
+ -0.8916162252426147,
43
+ -0.2708764672279358
44
+ ],
45
+ "width": 0.25961434841156006,
46
+ "length": 0.3774462938308716,
47
+ "height": 0.14918458461761475
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_25_a.jpg",
52
+ "image_path_b": "question_image_25_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_26.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The red bbox in the first image highlights the cutting board. Identify the correct bounding box for the same object in the second image.\nA. [283, 248, 635, 469]\nB. [369, 405, 581, 608]\nC. [706, 339, 737, 422]\nD. [44, 154, 310, 645]\nPick one: A, B, C, or D.",
4
+ "choices": [
5
+ "A. [283, 248, 635, 469]",
6
+ "B. [369, 405, 581, 608]",
7
+ "C. [706, 339, 737, 422]",
8
+ "D. [44, 154, 310, 645]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_025",
13
+ "position": [
14
+ -0.1611780338130271,
15
+ -0.08532711246758065,
16
+ 0.11716399776224762
17
+ ],
18
+ "look_at": [
19
+ -0.3169673711504453,
20
+ -0.8877414874593403,
21
+ -0.3548875696177254
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_029",
26
+ "position": [
27
+ -0.2092630736461706,
28
+ -0.8778025574281365,
29
+ -0.2463579756008829
30
+ ],
31
+ "look_at": [
32
+ -0.9560707384818818,
33
+ -0.918742964127473,
34
+ -0.4085926394861726
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "cutting board",
39
+ "id": "cutting board_0",
40
+ "centroid": [
41
+ -0.8563882112503052,
42
+ -1.2807973623275757,
43
+ -0.309326171875
44
+ ],
45
+ "width": 0.16895031929016113,
46
+ "length": 0.24634277820587158,
47
+ "height": 0.3525390625
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_26_a.jpg",
52
+ "image_path_b": "question_image_26_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_27.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Match the range hood (red bbox, first image) to its bounding box in the second image.\nA. [228, 630, 324, 734]\nB. [637, 204, 997, 327]\nC. [40, 526, 188, 774]\nD. [647, 481, 675, 536]\nRespond with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [228, 630, 324, 734]",
6
+ "B. [637, 204, 997, 327]",
7
+ "C. [40, 526, 188, 774]",
8
+ "D. [647, 481, 675, 536]"
9
+ ],
10
+ "answer": "B",
11
+ "camera_a": {
12
+ "name": "rand_016",
13
+ "position": [
14
+ 0.2773269034376208,
15
+ -0.3984398630414319,
16
+ 0.07449759174154869
17
+ ],
18
+ "look_at": [
19
+ -1.644839375530475,
20
+ -0.3945925926464707,
21
+ -0.31618930258307265
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_049",
26
+ "position": [
27
+ 0.2947709739165594,
28
+ -0.353761522430007,
29
+ 0.46931612322732397
30
+ ],
31
+ "look_at": [
32
+ -1.7145843874293227,
33
+ -0.3680966444457685,
34
+ -0.3592365456976858
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "range hood",
39
+ "id": "range hood_0",
40
+ "centroid": [
41
+ -1.106343150138855,
42
+ 0.3988973796367645,
43
+ 0.3324218690395355
44
+ ],
45
+ "width": 0.64208984375,
46
+ "length": 0.7256348133087158,
47
+ "height": 0.08232420682907104
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_27_a.jpg",
52
+ "image_path_b": "question_image_27_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_28.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The utensil holder is marked with a red bbox in the first image. Which bounding box in the second image corresponds to the same object? Choose from:\nA. [558, 543, 624, 638]\nB. [533, 479, 651, 571]\nC. [871, 538, 920, 610]\nD. [459, 418, 536, 585]\nAnswer with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [558, 543, 624, 638]",
6
+ "B. [533, 479, 651, 571]",
7
+ "C. [871, 538, 920, 610]",
8
+ "D. [459, 418, 536, 585]"
9
+ ],
10
+ "answer": "A",
11
+ "camera_a": {
12
+ "name": "rand_058",
13
+ "position": [
14
+ -0.37017190250728005,
15
+ -0.7558460127576665,
16
+ 0.32520905733286964
17
+ ],
18
+ "look_at": [
19
+ -0.841631066172937,
20
+ -1.3054794131868812,
21
+ -0.28885736328665357
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_006",
26
+ "position": [
27
+ 0.0660288165824294,
28
+ 0.35786023596732464,
29
+ 0.3377950674571486
30
+ ],
31
+ "look_at": [
32
+ -0.8714375904987537,
33
+ -1.2700307401166844,
34
+ -0.2872031277073289
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "utensil holder",
39
+ "id": "utensil holder_0",
40
+ "centroid": [
41
+ -0.9182388782501221,
42
+ -0.8924827575683594,
43
+ -0.4134521484375
44
+ ],
45
+ "width": 0.14931654930114746,
46
+ "length": 0.18698740005493164,
47
+ "height": 0.157958984375
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_28_a.jpg",
52
+ "image_path_b": "question_image_28_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_29.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The cutting board is indicated by the red bbox in image 1. Select the corresponding bbox in image 2.\nA. [489, 472, 513, 530]\nB. [614, 571, 999, 830]\nC. [665, 484, 695, 540]\nD. [0, 450, 152, 736]\nAnswer with one letter: A, B, C, or D.",
4
+ "choices": [
5
+ "A. [489, 472, 513, 530]",
6
+ "B. [614, 571, 999, 830]",
7
+ "C. [665, 484, 695, 540]",
8
+ "D. [0, 450, 152, 736]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_027",
13
+ "position": [
14
+ 0.17477627406306273,
15
+ -0.5594587827737109,
16
+ 0.3016455783422447
17
+ ],
18
+ "look_at": [
19
+ -0.3218417281228265,
20
+ -0.8667565529173993,
21
+ -0.3289817685416341
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_016",
26
+ "position": [
27
+ 0.2773269034376208,
28
+ -0.3984398630414319,
29
+ 0.07449759174154869
30
+ ],
31
+ "look_at": [
32
+ -1.644839375530475,
33
+ -0.3945925926464707,
34
+ -0.31618930258307265
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "cutting board",
39
+ "id": "cutting board_0",
40
+ "centroid": [
41
+ -0.8563882112503052,
42
+ -1.2807973623275757,
43
+ -0.309326171875
44
+ ],
45
+ "width": 0.16895031929016113,
46
+ "length": 0.24634277820587158,
47
+ "height": 0.3525390625
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_29_a.jpg",
52
+ "image_path_b": "question_image_29_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_3.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Locate the cutting board shown by the red bbox in image 1 within the second image. Which option matches?\nA. [462, 402, 545, 577]\nB. [902, 491, 952, 568]\nC. [578, 523, 645, 614]\nD. [549, 455, 670, 538]\nAnswer A, B, C, or D.",
4
+ "choices": [
5
+ "A. [462, 402, 545, 577]",
6
+ "B. [902, 491, 952, 568]",
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+ "C. [578, 523, 645, 614]",
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+ "D. [549, 455, 670, 538]"
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+ ],
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+ "answer": "A",
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+ "camera_a": {
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+ "object": {
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+ "label": "cutting board",
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+ "id": "cutting board_0",
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+ "image_path_b": "question_image_3_b.jpg"
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+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_30.json ADDED
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1
+ {
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+ "type": "object_matching_mv",
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+ "question": "Using the red bbox of sink in the first image as reference, find its location in the second image.\nA. [297, 472, 323, 545]\nB. [487, 113, 892, 230]\nC. [0, 490, 184, 686]\nD. [503, 523, 873, 682]\nSelect A, B, C, or D.",
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+ "choices": [
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+ "A. [297, 472, 323, 545]",
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+ "B. [487, 113, 892, 230]",
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+ "C. [0, 490, 184, 686]",
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+ "D. [503, 523, 873, 682]"
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+ ],
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+ "answer": "D",
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+ "image_path_b": "question_image_30_b.jpg"
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+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_31.json ADDED
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+ {
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+ "type": "object_matching_mv",
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+ "question": "In the first image, electrical outlet is bounded by a red box. Which bounding box in the second image shows the same object?\nA. [510, 458, 551, 525]\nB. [523, 0, 999, 163]\nC. [278, 463, 312, 556]\nD. [548, 528, 999, 753]\nChoose A, B, C, or D.",
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+ "choices": [
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+ "A. [510, 458, 551, 525]",
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+ "B. [523, 0, 999, 163]",
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+ "C. [278, 463, 312, 556]",
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+ "D. [548, 528, 999, 753]"
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+ ],
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+ "answer": "C",
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+ "camera_a": {
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+ "name": "rand_016",
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+ "object": {
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+ "label": "electrical outlet",
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+ "id": "electrical outlet_2",
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+ "image_path_a": "question_image_31_a.jpg",
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+ "image_path_b": "question_image_31_b.jpg"
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+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_32.json ADDED
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1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The red bbox in the first image highlights the cutting board. Identify the correct bounding box for the same object in the second image.\nA. [288, 404, 432, 503]\nB. [904, 452, 955, 541]\nC. [652, 416, 692, 488]\nD. [172, 345, 286, 571]\nPick one: A, B, C, or D.",
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+ "choices": [
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+ "A. [288, 404, 432, 503]",
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+ "B. [904, 452, 955, 541]",
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+ "C. [652, 416, 692, 488]",
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+ "D. [172, 345, 286, 571]"
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+ ],
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+ "answer": "D",
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+ "camera_a": {
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+ "name": "rand_019",
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+ "position": [
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+ "label": "cutting board",
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+ "id": "cutting board_0",
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+ "height": 0.3525390625
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+ "image_path_b": "question_image_32_b.jpg"
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+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_33.json ADDED
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1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The red bbox in the first image highlights the electrical outlet. Identify the correct bounding box for the same object in the second image.\nA. [904, 452, 955, 541]\nB. [334, 489, 411, 598]\nC. [652, 416, 692, 488]\nD. [288, 404, 432, 503]\nPick one: A, B, C, or D.",
4
+ "choices": [
5
+ "A. [904, 452, 955, 541]",
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+ "B. [334, 489, 411, 598]",
7
+ "C. [652, 416, 692, 488]",
8
+ "D. [288, 404, 432, 503]"
9
+ ],
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+ "answer": "C",
11
+ "camera_a": {
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+ "name": "rand_026",
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+ "position": [
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+ -0.7943811630012763,
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+ "object": {
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+ "label": "electrical outlet",
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+ "id": "electrical outlet_2",
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+ -0.3388037085533142
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+ "length": 0.053759753704071045,
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+ "height": 0.11237305402755737
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+ "image_path_a": "question_image_33_a.jpg",
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+ "image_path_b": "question_image_33_b.jpg"
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+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_34.json ADDED
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1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Identify which bounding box in the second image matches the cutting board (red bbox) from the first image.\nA. [902, 491, 952, 568]\nB. [578, 523, 645, 614]\nC. [462, 402, 545, 577]\nD. [549, 455, 670, 538]\nYour answer should be A, B, C, or D.",
4
+ "choices": [
5
+ "A. [902, 491, 952, 568]",
6
+ "B. [578, 523, 645, 614]",
7
+ "C. [462, 402, 545, 577]",
8
+ "D. [549, 455, 670, 538]"
9
+ ],
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+ "answer": "C",
11
+ "camera_a": {
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+ "name": "rand_037",
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+ "position": [
14
+ -0.36776136436735113,
15
+ -0.3014770677323293,
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+ -0.4115939691095132
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+ -0.5229115228998356
22
+ ]
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+ "camera_b": {
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+ "name": "rand_028",
26
+ "position": [
27
+ 0.1897269873162531,
28
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29
+ 0.009778303054439164
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+ ],
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+ -0.3130153058928587
35
+ ]
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+ },
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+ "object": {
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+ "label": "cutting board",
39
+ "id": "cutting board_0",
40
+ "centroid": [
41
+ -0.8563882112503052,
42
+ -1.2807973623275757,
43
+ -0.309326171875
44
+ ],
45
+ "width": 0.16895031929016113,
46
+ "length": 0.24634277820587158,
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+ "height": 0.3525390625
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+ },
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+ "scene_id": "0213_txt_160f9afaaf59",
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+ "layout_path": null,
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+ "image_path_a": "question_image_34_a.jpg",
52
+ "image_path_b": "question_image_34_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_35.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Using the red bbox of spoon in the first image as reference, find its location in the second image.\nA. [742, 486, 790, 564]\nB. [371, 455, 514, 543]\nC. [402, 525, 491, 627]\nD. [297, 389, 389, 580]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [742, 486, 790, 564]",
6
+ "B. [371, 455, 514, 543]",
7
+ "C. [402, 525, 491, 627]",
8
+ "D. [297, 389, 389, 580]"
9
+ ],
10
+ "answer": "B",
11
+ "camera_a": {
12
+ "name": "rand_017",
13
+ "position": [
14
+ 0.08834825904585014,
15
+ -0.09186760325435928,
16
+ 0.37965850692043057
17
+ ],
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+ "look_at": [
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20
+ -0.8341183015187352,
21
+ -0.3096198733841504
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_008",
26
+ "position": [
27
+ -0.1797482890830166,
28
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29
+ 0.0887176334847175
30
+ ],
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32
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+ -0.7603927869387892,
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+ -0.2558188561296792
35
+ ]
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+ },
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+ "object": {
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+ "label": "spoon",
39
+ "id": "spoon_0",
40
+ "centroid": [
41
+ -0.9424974918365479,
42
+ -0.8916162252426147,
43
+ -0.2708764672279358
44
+ ],
45
+ "width": 0.25961434841156006,
46
+ "length": 0.3774462938308716,
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+ "height": 0.14918458461761475
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+ },
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+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_35_a.jpg",
52
+ "image_path_b": "question_image_35_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_36.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Using the red bbox of spoon in the first image as reference, find its location in the second image.\nA. [564, 215, 674, 359]\nB. [405, 40, 521, 311]\nC. [898, 113, 960, 194]\nD. [523, 119, 727, 267]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [564, 215, 674, 359]",
6
+ "B. [405, 40, 521, 311]",
7
+ "C. [898, 113, 960, 194]",
8
+ "D. [523, 119, 727, 267]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_021",
13
+ "position": [
14
+ 0.15517432210811666,
15
+ -0.37811367245511035,
16
+ -0.1958126059917844
17
+ ],
18
+ "look_at": [
19
+ -0.33496730999593405,
20
+ -0.8861879724242205,
21
+ -0.3257219437710996
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_027",
26
+ "position": [
27
+ 0.17477627406306273,
28
+ -0.5594587827737109,
29
+ 0.3016455783422447
30
+ ],
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+ "look_at": [
32
+ -0.3218417281228265,
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+ -0.8667565529173993,
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+ -0.3289817685416341
35
+ ]
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+ },
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+ "object": {
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+ "label": "spoon",
39
+ "id": "spoon_0",
40
+ "centroid": [
41
+ -0.9424974918365479,
42
+ -0.8916162252426147,
43
+ -0.2708764672279358
44
+ ],
45
+ "width": 0.25961434841156006,
46
+ "length": 0.3774462938308716,
47
+ "height": 0.14918458461761475
48
+ },
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+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_36_a.jpg",
52
+ "image_path_b": "question_image_36_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_37.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Find the matching bounding box for utensil holder (red bbox in image 1) in the second image.\nA. [503, 523, 873, 682]\nB. [0, 634, 146, 850]\nC. [485, 467, 518, 522]\nD. [297, 472, 323, 545]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [503, 523, 873, 682]",
6
+ "B. [0, 634, 146, 850]",
7
+ "C. [485, 467, 518, 522]",
8
+ "D. [297, 472, 323, 545]"
9
+ ],
10
+ "answer": "B",
11
+ "camera_a": {
12
+ "name": "rand_019",
13
+ "position": [
14
+ -0.14909585063388447,
15
+ -0.32113570416445636,
16
+ -0.12717588132423807
17
+ ],
18
+ "look_at": [
19
+ -0.8647380566893691,
20
+ -1.193652087015876,
21
+ -0.3294684143971296
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_052",
26
+ "position": [
27
+ -0.03174354051285749,
28
+ -0.8034902888998012,
29
+ -0.06223330657904791
30
+ ],
31
+ "look_at": [
32
+ -1.628923593310963,
33
+ 0.2095399383841583,
34
+ -0.35452117612483464
35
+ ]
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+ },
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+ "object": {
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+ "label": "utensil holder",
39
+ "id": "utensil holder_0",
40
+ "centroid": [
41
+ -0.9182388782501221,
42
+ -0.8924827575683594,
43
+ -0.4134521484375
44
+ ],
45
+ "width": 0.14931654930114746,
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+ "length": 0.18698740005493164,
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+ "height": 0.157958984375
48
+ },
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+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_37_a.jpg",
52
+ "image_path_b": "question_image_37_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_38.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Based on the red bbox of utensil holder in the first image, locate its bounding box in the second image. Pick the appropriate answer from the options given.\nA. [453, 446, 482, 503]\nB. [84, 382, 244, 510]\nC. [121, 463, 219, 568]\nD. [577, 0, 990, 184]\nYour answer can only include one of the options A, B, C, or D.",
4
+ "choices": [
5
+ "A. [453, 446, 482, 503]",
6
+ "B. [84, 382, 244, 510]",
7
+ "C. [121, 463, 219, 568]",
8
+ "D. [577, 0, 990, 184]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_052",
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+ "position": [
14
+ -0.03174354051285749,
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+ -0.8034902888998012,
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+ -0.06223330657904791
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+ ],
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+ "look_at": [
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+ -0.35452117612483464
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+ ]
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+ },
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+ "camera_b": {
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+ "name": "rand_063",
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+ "position": [
27
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28
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29
+ -0.32841804886169834
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+ ],
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+ "look_at": [
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+ -0.28066899638124937,
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+ -0.40063651115047033
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+ ]
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+ },
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+ "object": {
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+ "label": "utensil holder",
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+ "id": "utensil holder_0",
40
+ "centroid": [
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+ -0.8924827575683594,
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+ -0.4134521484375
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+ ],
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+ "width": 0.14931654930114746,
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+ "length": 0.18698740005493164,
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+ "height": 0.157958984375
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+ },
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+ "scene_id": "0213_txt_160f9afaaf59",
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+ "layout_path": null,
51
+ "image_path_a": "question_image_38_a.jpg",
52
+ "image_path_b": "question_image_38_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_39.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "In the first image, spoon is bounded by a red box. Which bounding box in the second image shows the same object?\nA. [402, 525, 491, 627]\nB. [742, 486, 790, 564]\nC. [371, 455, 514, 543]\nD. [297, 389, 389, 580]\nChoose A, B, C, or D.",
4
+ "choices": [
5
+ "A. [402, 525, 491, 627]",
6
+ "B. [742, 486, 790, 564]",
7
+ "C. [371, 455, 514, 543]",
8
+ "D. [297, 389, 389, 580]"
9
+ ],
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+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_021",
13
+ "position": [
14
+ 0.15517432210811666,
15
+ -0.37811367245511035,
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+ -0.1958126059917844
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+ ],
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+ -0.8861879724242205,
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+ -0.3257219437710996
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+ ]
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+ },
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+ "camera_b": {
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+ "name": "rand_008",
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+ "position": [
27
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+ 0.0887176334847175
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+ ]
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+ "object": {
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+ "label": "spoon",
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+ "id": "spoon_0",
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+ "centroid": [
41
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42
+ -0.8916162252426147,
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+ -0.2708764672279358
44
+ ],
45
+ "width": 0.25961434841156006,
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+ "length": 0.3774462938308716,
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+ "height": 0.14918458461761475
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+ },
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+ "scene_id": "0213_txt_160f9afaaf59",
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+ "layout_path": null,
51
+ "image_path_a": "question_image_39_a.jpg",
52
+ "image_path_b": "question_image_39_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_4.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Identify which bounding box in the second image matches the spoon (red bbox) from the first image.\nA. [430, 516, 540, 628]\nB. [854, 506, 926, 610]\nC. [403, 436, 570, 536]\nD. [350, 362, 435, 566]\nYour answer should be A, B, C, or D.",
4
+ "choices": [
5
+ "A. [430, 516, 540, 628]",
6
+ "B. [854, 506, 926, 610]",
7
+ "C. [403, 436, 570, 536]",
8
+ "D. [350, 362, 435, 566]"
9
+ ],
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+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_045",
13
+ "position": [
14
+ -0.6306916361928802,
15
+ -0.4628375122118342,
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+ 0.18291562928077987
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+ ],
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+ "look_at": [
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+ -1.2809980123710567,
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+ -0.31002705209059744
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+ ]
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+ },
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+ "camera_b": {
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+ "name": "rand_040",
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+ "position": [
27
+ -0.4969963049019852,
28
+ 0.2924843209200986,
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+ 0.05604894651076209
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+ ],
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+ -0.8542731794978564,
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+ -0.2860225677386833
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+ ]
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+ },
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+ "object": {
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+ "label": "spoon",
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+ "id": "spoon_0",
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+ "centroid": [
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+ -0.9424974918365479,
42
+ -0.8916162252426147,
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+ -0.2708764672279358
44
+ ],
45
+ "width": 0.25961434841156006,
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+ "length": 0.3774462938308716,
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+ "height": 0.14918458461761475
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+ },
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+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_4_a.jpg",
52
+ "image_path_b": "question_image_4_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_40.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "In the first image, spoon is bounded by a red box. Which bounding box in the second image shows the same object?\nA. [764, 544, 987, 697]\nB. [735, 370, 838, 607]\nC. [749, 425, 999, 608]\nD. [0, 145, 238, 882]\nChoose A, B, C, or D.",
4
+ "choices": [
5
+ "A. [764, 544, 987, 697]",
6
+ "B. [735, 370, 838, 607]",
7
+ "C. [749, 425, 999, 608]",
8
+ "D. [0, 145, 238, 882]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_063",
13
+ "position": [
14
+ 0.2379153502543948,
15
+ 0.10611451305060143,
16
+ -0.32841804886169834
17
+ ],
18
+ "look_at": [
19
+ -1.7596600623793035,
20
+ -0.28066899638124937,
21
+ -0.40063651115047033
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_005",
26
+ "position": [
27
+ -0.9724880140698734,
28
+ 0.17649170911710912,
29
+ -0.15206342101110248
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+ ],
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+ "look_at": [
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+ -0.9287594820436544,
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+ -0.30717923512658585
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+ ]
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+ },
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+ "object": {
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+ "label": "spoon",
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+ "id": "spoon_0",
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+ "centroid": [
41
+ -0.9424974918365479,
42
+ -0.8916162252426147,
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+ -0.2708764672279358
44
+ ],
45
+ "width": 0.25961434841156006,
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+ "length": 0.3774462938308716,
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+ "height": 0.14918458461761475
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+ },
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+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_40_a.jpg",
52
+ "image_path_b": "question_image_40_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_41.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Identify which bounding box in the second image matches the cutting board (red bbox) from the first image.\nA. [172, 345, 286, 571]\nB. [288, 404, 432, 503]\nC. [334, 489, 411, 598]\nD. [652, 416, 692, 488]\nYour answer should be A, B, C, or D.",
4
+ "choices": [
5
+ "A. [172, 345, 286, 571]",
6
+ "B. [288, 404, 432, 503]",
7
+ "C. [334, 489, 411, 598]",
8
+ "D. [652, 416, 692, 488]"
9
+ ],
10
+ "answer": "A",
11
+ "camera_a": {
12
+ "name": "rand_039",
13
+ "position": [
14
+ -0.6789987645119078,
15
+ -0.15303423472454564,
16
+ -0.24151114004322916
17
+ ],
18
+ "look_at": [
19
+ -0.9253761981610253,
20
+ -1.371996126178599,
21
+ -0.33332662100654525
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "view_010",
26
+ "position": [
27
+ -0.0,
28
+ -0.0,
29
+ 0.0
30
+ ],
31
+ "look_at": [
32
+ -8.36516284942627,
33
+ -4.829628944396973,
34
+ -2.5881905555725098
35
+ ]
36
+ },
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+ "object": {
38
+ "label": "cutting board",
39
+ "id": "cutting board_0",
40
+ "centroid": [
41
+ -0.8563882112503052,
42
+ -1.2807973623275757,
43
+ -0.309326171875
44
+ ],
45
+ "width": 0.16895031929016113,
46
+ "length": 0.24634277820587158,
47
+ "height": 0.3525390625
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_41_a.jpg",
52
+ "image_path_b": "question_image_41_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_42.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Match the utensil holder (red bbox, first image) to its bounding box in the second image.\nA. [577, 0, 990, 184]\nB. [121, 463, 219, 568]\nC. [635, 445, 662, 509]\nD. [526, 498, 999, 659]\nRespond with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [577, 0, 990, 184]",
6
+ "B. [121, 463, 219, 568]",
7
+ "C. [635, 445, 662, 509]",
8
+ "D. [526, 498, 999, 659]"
9
+ ],
10
+ "answer": "B",
11
+ "camera_a": {
12
+ "name": "rand_006",
13
+ "position": [
14
+ 0.0660288165824294,
15
+ 0.35786023596732464,
16
+ 0.3377950674571486
17
+ ],
18
+ "look_at": [
19
+ -0.8714375904987537,
20
+ -1.2700307401166844,
21
+ -0.2872031277073289
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_063",
26
+ "position": [
27
+ 0.2379153502543948,
28
+ 0.10611451305060143,
29
+ -0.32841804886169834
30
+ ],
31
+ "look_at": [
32
+ -1.7596600623793035,
33
+ -0.28066899638124937,
34
+ -0.40063651115047033
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "utensil holder",
39
+ "id": "utensil holder_0",
40
+ "centroid": [
41
+ -0.9182388782501221,
42
+ -0.8924827575683594,
43
+ -0.4134521484375
44
+ ],
45
+ "width": 0.14931654930114746,
46
+ "length": 0.18698740005493164,
47
+ "height": 0.157958984375
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_42_a.jpg",
52
+ "image_path_b": "question_image_42_b.jpg"
53
+ }
0213_txt_160f9afaaf59/tasks/019_object_matching_mv/question_43.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The red bbox in the first image highlights the utensil holder. Identify the correct bounding box for the same object in the second image.\nA. [902, 491, 952, 568]\nB. [549, 455, 670, 538]\nC. [462, 402, 545, 577]\nD. [578, 523, 645, 614]\nPick one: A, B, C, or D.",
4
+ "choices": [
5
+ "A. [902, 491, 952, 568]",
6
+ "B. [549, 455, 670, 538]",
7
+ "C. [462, 402, 545, 577]",
8
+ "D. [578, 523, 645, 614]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_003",
13
+ "position": [
14
+ -0.5162122016345241,
15
+ -0.1742242009547471,
16
+ 0.3647714284148327
17
+ ],
18
+ "look_at": [
19
+ -0.7523532345831383,
20
+ -1.2523848279483063,
21
+ -0.33961657970950276
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_028",
26
+ "position": [
27
+ 0.1897269873162531,
28
+ 0.19225304192330678,
29
+ 0.009778303054439164
30
+ ],
31
+ "look_at": [
32
+ -0.8323228373243284,
33
+ -1.257825452134338,
34
+ -0.3130153058928587
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "utensil holder",
39
+ "id": "utensil holder_0",
40
+ "centroid": [
41
+ -0.9182388782501221,
42
+ -0.8924827575683594,
43
+ -0.4134521484375
44
+ ],
45
+ "width": 0.14931654930114746,
46
+ "length": 0.18698740005493164,
47
+ "height": 0.157958984375
48
+ },
49
+ "scene_id": "0213_txt_160f9afaaf59",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_43_a.jpg",
52
+ "image_path_b": "question_image_43_b.jpg"
53
+ }