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  1. 0282_txt_5f24cf097766/input.json +7 -0
  2. 0282_txt_5f24cf097766/tasks/004_relative_direction/question_1.json +53 -0
  3. 0282_txt_5f24cf097766/tasks/004_relative_direction/question_12.json +53 -0
  4. 0282_txt_5f24cf097766/tasks/004_relative_direction/question_13.json +53 -0
  5. 0282_txt_5f24cf097766/tasks/004_relative_direction/question_16.json +53 -0
  6. 0282_txt_5f24cf097766/tasks/004_relative_direction/question_18.json +53 -0
  7. 0282_txt_5f24cf097766/tasks/004_relative_direction/question_19.json +53 -0
  8. 0282_txt_5f24cf097766/tasks/004_relative_direction/question_22.json +53 -0
  9. 0282_txt_5f24cf097766/tasks/004_relative_direction/question_25.json +53 -0
  10. 0282_txt_5f24cf097766/tasks/004_relative_direction/question_3.json +53 -0
  11. 0282_txt_5f24cf097766/tasks/004_relative_direction/question_5.json +53 -0
  12. 0282_txt_5f24cf097766/tasks/004_relative_direction/question_8.json +53 -0
  13. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_0.json +53 -0
  14. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_1.json +53 -0
  15. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_10.json +53 -0
  16. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_11.json +53 -0
  17. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_12.json +53 -0
  18. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_13.json +53 -0
  19. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_14.json +53 -0
  20. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_15.json +53 -0
  21. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_16.json +53 -0
  22. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_17.json +53 -0
  23. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_18.json +53 -0
  24. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_19.json +53 -0
  25. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_2.json +53 -0
  26. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_20.json +53 -0
  27. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_21.json +53 -0
  28. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_22.json +53 -0
  29. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_23.json +53 -0
  30. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_24.json +53 -0
  31. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_25.json +53 -0
  32. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_26.json +53 -0
  33. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_27.json +53 -0
  34. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_28.json +53 -0
  35. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_29.json +53 -0
  36. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_3.json +53 -0
  37. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_30.json +53 -0
  38. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_31.json +53 -0
  39. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_32.json +53 -0
  40. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_33.json +53 -0
  41. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_34.json +53 -0
  42. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_35.json +53 -0
  43. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_36.json +53 -0
  44. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_37.json +53 -0
  45. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_38.json +53 -0
  46. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_39.json +53 -0
  47. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_4.json +53 -0
  48. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_40.json +53 -0
  49. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_41.json +53 -0
  50. 0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_42.json +53 -0
0282_txt_5f24cf097766/input.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "prompt": "This is a compact, personalized home office or study nook, likely situated in a bedroom or small apartment space. The room features an L-shaped layout with a white desk occupying the left foreground, angled toward the center of the frame, and a white shelving unit along the right wall. The camera is positioned slightly off-center, capturing the desk, chair, and wall decor in a medium shot that emphasizes both functionality and personal expression. The space feels intimate and lived-in, with warm ambient lighting enhancing the cozy, curated aesthetic.\n\nThe walls are painted a soft off-white, and the floor is covered in low-pile, textured brown carpeting. A white Eames-style chair with wooden legs sits tucked under the desk. The back wall is decorated with a curated gallery of small framed photos and artwork, clustered asymmetrically, alongside a white pegboard adorned with stickers, notes, and a small hanging keychain. Below the pegboard, a black-framed poster with vibrant abstract art leans against the wall, partially obscured by a large yellow emoji pillow wearing sunglasses, which rests on a small, light-wood three-tiered side table. To the right, a white open-shelving unit holds books, DVDs, storage bins, and a black record player on top.\n\nLighting is soft and warm, likely from an overhead source or nearby lamp, casting gentle shadows and creating a cozy, inviting glow. There are no harsh highlights or deep shadows \u2014 the illumination is diffused, enhancing the room\u2019s calm, studious mood. The overall atmosphere is youthful, creative, and organized chaos \u2014 a space that balances productivity with personal flair.\n\n- White desk: Rectangular, medium-sized, smooth matte finish, positioned in left foreground, angled slightly toward center.\n- Eames-style chair: White molded plastic seat, four tapered wooden legs, positioned under desk, slightly pulled out.\n- Framed photos/art: Nine small frames, mixed sizes, arranged in asymmetrical grid on back wall, matte black and white frames, varied artwork.\n- White pegboard: Square, mounted on back wall, covered with colorful stickers, notes, and a hanging keychain.\n- Poster: Black-framed, abstract colorful artwork, leaning against wall, partially behind emoji pillow.\n- Emoji pillow: Large, round, bright yellow plush with black sunglasses, resting on side table.\n- Side table: Three-tiered, light wood with white metal legs, positioned center-right, holding poster and small photo frame.\n- White shelving unit: Tall, open 4-shelf unit, right wall, holds books, DVDs, plastic bins, and record player.\n- Record player: Black, rectangular, sits atop shelving unit, partially visible.\n- Carpet: Brown, low-pile, textured, covers entire floor, slightly worn near desk.\n- Books/DVDs: Spines visible on shelves, mixed colors, some stacked horizontally.\n- Storage bins: Clear plastic, white, and black, on shelves, containing papers and small items.\n- Power cord: White, coiled loosely on floor near shelving unit.",
3
+ "meta_info": {
4
+ "image_pth": "/home/ubuntu/benchmarks/results/RefSpatial-Bench/26.png",
5
+ "source": "RefSpatial-Bench"
6
+ }
7
+ }
0282_txt_5f24cf097766/tasks/004_relative_direction/question_1.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "From the observer's point of view, how is sunglasses (blue bbox) situated in relation to artwork (red bbox)? Calculate or judge based on the 3D center points of these objects. Pick the right option.",
4
+ "choices": [
5
+ "A. , below, farther",
6
+ "B. , above, ",
7
+ "C. right, , closer",
8
+ "D. right, above, farther"
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "rand_040",
12
+ "camera_position": [
13
+ 1.3301888225537224,
14
+ -0.39690729812934267,
15
+ -0.44191610478937404
16
+ ],
17
+ "camera_look_at": [
18
+ 0.40139870706010017,
19
+ -1.6227549560939427,
20
+ -0.7597739336648738
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+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "sunglasses",
25
+ "id": "sunglasses_0",
26
+ "centroid": [
27
+ -1.297032117843628,
28
+ -1.5091252326965332,
29
+ 0.1614989936351776
30
+ ],
31
+ "distance_to_camera": 2.9160638512628556,
32
+ "width": 0.3963087797164917,
33
+ "length": 0.6035841703414917,
34
+ "height": 0.18958014249801636
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "artwork",
39
+ "id": "artwork_0",
40
+ "centroid": [
41
+ -1.2790493965148926,
42
+ -2.2341432571411133,
43
+ 0.2599853575229645
44
+ ],
45
+ "distance_to_camera": 3.26744942053132,
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+ "width": 0.6708984375,
47
+ "length": 1.940185546875,
48
+ "height": 1.301708996295929
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+ },
50
+ "scene_id": "0282_txt_5f24cf097766",
51
+ "layout_path": null,
52
+ "image_path": "question_image_1.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/004_relative_direction/question_12.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "How would you describe the position of sunglasses (blue bbox) with respect to book (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. , above, closer",
6
+ "B. left, above, farther",
7
+ "C. , below, farther",
8
+ "D. right, above, "
9
+ ],
10
+ "answer": "D",
11
+ "camera_name": "view_010",
12
+ "camera_position": [
13
+ -0.0,
14
+ -0.0,
15
+ 0.0
16
+ ],
17
+ "camera_look_at": [
18
+ -8.36516284942627,
19
+ -4.829628944396973,
20
+ -2.5881905555725098
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+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "sunglasses",
25
+ "id": "sunglasses_0",
26
+ "centroid": [
27
+ -1.297032117843628,
28
+ -1.5091252326965332,
29
+ 0.1614989936351776
30
+ ],
31
+ "distance_to_camera": 1.99645516043423,
32
+ "width": 0.3963087797164917,
33
+ "length": 0.6035841703414917,
34
+ "height": 0.18958014249801636
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "book",
39
+ "id": "book_1",
40
+ "centroid": [
41
+ -1.2919868230819702,
42
+ -1.668349027633667,
43
+ -0.7021240293979645
44
+ ],
45
+ "distance_to_camera": 2.223869731275121,
46
+ "width": 0.2147362232208252,
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+ "length": 0.32849597930908203,
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+ "height": 0.25032228231430054
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+ },
50
+ "scene_id": "0282_txt_5f24cf097766",
51
+ "layout_path": null,
52
+ "image_path": "question_image_12.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/004_relative_direction/question_13.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "Considering the camera's viewpoint, what is the direction of book (blue bbox) from chair (red bbox)? Calculate or judge based on the 3D center points of these objects. Choose from the options.",
4
+ "choices": [
5
+ "A. right, , farther",
6
+ "B. right, below, ",
7
+ "C. , above, closer",
8
+ "D. left, above, farther"
9
+ ],
10
+ "answer": "D",
11
+ "camera_name": "rand_030",
12
+ "camera_position": [
13
+ -0.3939310763509958,
14
+ -2.1459872757807883,
15
+ -0.5984148013640329
16
+ ],
17
+ "camera_look_at": [
18
+ 0.5035932037006221,
19
+ 0.9243387369669609,
20
+ -0.6530284025262513
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "book",
25
+ "id": "book_0",
26
+ "centroid": [
27
+ 0.5578253865242004,
28
+ 0.971293568611145,
29
+ -0.18778564408421516
30
+ ],
31
+ "distance_to_camera": 3.2851022103194785,
32
+ "width": 0.55029296875,
33
+ "length": 0.3681640625,
34
+ "height": 0.47208496183156967
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "chair",
39
+ "id": "chair_0",
40
+ "centroid": [
41
+ 0.06670965254306793,
42
+ -1.192366123199463,
43
+ -0.848271369934082
44
+ ],
45
+ "distance_to_camera": 1.0881229198138367,
46
+ "width": 0.7188769578933716,
47
+ "length": 0.4233589172363281,
48
+ "height": 0.7531833648681641
49
+ },
50
+ "scene_id": "0282_txt_5f24cf097766",
51
+ "layout_path": null,
52
+ "image_path": "question_image_13.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/004_relative_direction/question_16.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "Describe the spatial relationship of shelf (blue bbox) relative to shelf (red bbox) as seen by the camera. Calculate or judge based on the 3D center points of these objects. Select your answer.",
4
+ "choices": [
5
+ "A. left, , closer",
6
+ "B. , , ",
7
+ "C. right, above, ",
8
+ "D. right, above, closer"
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "view_004",
12
+ "camera_position": [
13
+ -0.0,
14
+ -0.0,
15
+ 0.0
16
+ ],
17
+ "camera_look_at": [
18
+ 8.36516284942627,
19
+ 4.829628944396973,
20
+ -2.5881905555725098
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "shelf",
25
+ "id": "shelf_2",
26
+ "centroid": [
27
+ 1.501829743385315,
28
+ -0.3580622673034668,
29
+ -0.7842309474945068
30
+ ],
31
+ "distance_to_camera": 1.731681074676117,
32
+ "width": 0.44378936290740967,
33
+ "length": 1.1250686794519424,
34
+ "height": 0.08213376998901367
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "shelf",
39
+ "id": "shelf_1",
40
+ "centroid": [
41
+ 0.7850164175033569,
42
+ 0.9955302476882935,
43
+ -1.2034913301467896
44
+ ],
45
+ "distance_to_camera": 1.7480625365102385,
46
+ "width": 0.7651857137680054,
47
+ "length": 0.9988282918930054,
48
+ "height": 0.07700228691101074
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+ },
50
+ "scene_id": "0282_txt_5f24cf097766",
51
+ "layout_path": null,
52
+ "image_path": "question_image_16.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/004_relative_direction/question_18.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "From the observer's point of view, how is shelf (blue bbox) situated in relation to book (red bbox)? Calculate or judge based on the 3D center points of these objects. Pick the right option.",
4
+ "choices": [
5
+ "A. , below, ",
6
+ "B. left, above, ",
7
+ "C. , below, farther",
8
+ "D. , , closer"
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "view_004",
12
+ "camera_position": [
13
+ -0.0,
14
+ -0.0,
15
+ 0.0
16
+ ],
17
+ "camera_look_at": [
18
+ 8.36516284942627,
19
+ 4.829628944396973,
20
+ -2.5881905555725098
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "shelf",
25
+ "id": "shelf_1",
26
+ "centroid": [
27
+ 0.7850164175033569,
28
+ 0.9955302476882935,
29
+ -1.2034913301467896
30
+ ],
31
+ "distance_to_camera": 1.7480625365102385,
32
+ "width": 0.7651857137680054,
33
+ "length": 0.9988282918930054,
34
+ "height": 0.07700228691101074
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "book",
39
+ "id": "book_0",
40
+ "centroid": [
41
+ 0.5578253865242004,
42
+ 0.971293568611145,
43
+ -0.18778564408421516
44
+ ],
45
+ "distance_to_camera": 1.135712906680368,
46
+ "width": 0.55029296875,
47
+ "length": 0.3681640625,
48
+ "height": 0.47208496183156967
49
+ },
50
+ "scene_id": "0282_txt_5f24cf097766",
51
+ "layout_path": null,
52
+ "image_path": "question_image_18.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/004_relative_direction/question_19.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "How would you describe the position of photo (blue bbox) with respect to book (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. left, above, closer",
6
+ "B. , above, closer",
7
+ "C. left, below, farther",
8
+ "D. , below, "
9
+ ],
10
+ "answer": "A",
11
+ "camera_name": "view_006",
12
+ "camera_position": [
13
+ -0.0,
14
+ -0.0,
15
+ 0.0
16
+ ],
17
+ "camera_look_at": [
18
+ 1.1829179332573624e-15,
19
+ 9.659257888793945,
20
+ -2.5881905555725098
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "photo",
25
+ "id": "photo_0",
26
+ "centroid": [
27
+ -0.47060292959213257,
28
+ 0.7751616835594177,
29
+ 0.1072998046875
30
+ ],
31
+ "distance_to_camera": 0.9131571612188912,
32
+ "width": 0.22743165493011475,
33
+ "length": 0.1845703125,
34
+ "height": 0.229248046875
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "book",
39
+ "id": "book_0",
40
+ "centroid": [
41
+ 0.5578253865242004,
42
+ 0.971293568611145,
43
+ -0.18778564408421516
44
+ ],
45
+ "distance_to_camera": 1.135712906680368,
46
+ "width": 0.55029296875,
47
+ "length": 0.3681640625,
48
+ "height": 0.47208496183156967
49
+ },
50
+ "scene_id": "0282_txt_5f24cf097766",
51
+ "layout_path": null,
52
+ "image_path": "question_image_19.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/004_relative_direction/question_22.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "How would you describe the position of book (blue bbox) with respect to storage bin (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. left, , farther",
6
+ "B. left, above, farther",
7
+ "C. , below, closer",
8
+ "D. left, above, "
9
+ ],
10
+ "answer": "D",
11
+ "camera_name": "rand_036",
12
+ "camera_position": [
13
+ 0.28664141763577633,
14
+ -1.7341334697239446,
15
+ -0.5480425751195681
16
+ ],
17
+ "camera_look_at": [
18
+ -1.2937284243293274,
19
+ -1.584714740092056,
20
+ -0.695326408721753
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "book",
25
+ "id": "book_1",
26
+ "centroid": [
27
+ -1.2919868230819702,
28
+ -1.668349027633667,
29
+ -0.7021240293979645
30
+ ],
31
+ "distance_to_camera": 1.5874935621177435,
32
+ "width": 0.2147362232208252,
33
+ "length": 0.32849597930908203,
34
+ "height": 0.25032228231430054
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "storage bin",
39
+ "id": "storage bin_0",
40
+ "centroid": [
41
+ -1.3545222282409668,
42
+ -1.4919536113739014,
43
+ -1.278779298067093
44
+ ],
45
+ "distance_to_camera": 1.8127452536421047,
46
+ "width": 0.38525390625,
47
+ "length": 0.543818473815918,
48
+ "height": 0.9356054663658142
49
+ },
50
+ "scene_id": "0282_txt_5f24cf097766",
51
+ "layout_path": null,
52
+ "image_path": "question_image_22.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/004_relative_direction/question_25.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "From the observer's point of view, how is drawer (blue bbox) situated in relation to box (red bbox)? Calculate or judge based on the 3D center points of these objects. Pick the right option.",
4
+ "choices": [
5
+ "A. right, below, ",
6
+ "B. left, below, closer",
7
+ "C. left, , closer",
8
+ "D. right, , closer"
9
+ ],
10
+ "answer": "B",
11
+ "camera_name": "view_003",
12
+ "camera_position": [
13
+ -0.0,
14
+ -0.0,
15
+ 0.0
16
+ ],
17
+ "camera_look_at": [
18
+ 9.659257888793945,
19
+ -5.914589666286812e-16,
20
+ -2.5881905555725098
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "drawer",
25
+ "id": "drawer_0",
26
+ "centroid": [
27
+ 1.1561342477798462,
28
+ -0.7061383724212646,
29
+ -1.2666845917701721
30
+ ],
31
+ "distance_to_camera": 1.8546610620065302,
32
+ "width": 0.5458984375,
33
+ "length": 0.41737306118011475,
34
+ "height": 0.5954395532608032
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "box",
39
+ "id": "box_0",
40
+ "centroid": [
41
+ 1.4573177099227905,
42
+ -0.8371112942695618,
43
+ -0.6714600324630737
44
+ ],
45
+ "distance_to_camera": 1.809803525757307,
46
+ "width": 0.9280273914337158,
47
+ "length": 0.9431158006191254,
48
+ "height": 0.15932631492614746
49
+ },
50
+ "scene_id": "0282_txt_5f24cf097766",
51
+ "layout_path": null,
52
+ "image_path": "question_image_25.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/004_relative_direction/question_3.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "How would you describe the position of shelf (blue bbox) with respect to box (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. left, above, closer",
6
+ "B. left, below, farther",
7
+ "C. left, , farther",
8
+ "D. right, , "
9
+ ],
10
+ "answer": "B",
11
+ "camera_name": "rand_034",
12
+ "camera_position": [
13
+ 0.2892307548131494,
14
+ -1.639935628320116,
15
+ -0.5941425169929975
16
+ ],
17
+ "camera_look_at": [
18
+ 1.0106006363039528,
19
+ 0.9197090242871382,
20
+ -0.7048359475110595
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "shelf",
25
+ "id": "shelf_1",
26
+ "centroid": [
27
+ 0.7850164175033569,
28
+ 0.9955302476882935,
29
+ -1.2034913301467896
30
+ ],
31
+ "distance_to_camera": 2.7500526873181683,
32
+ "width": 0.7651857137680054,
33
+ "length": 0.9988282918930054,
34
+ "height": 0.07700228691101074
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "box",
39
+ "id": "box_0",
40
+ "centroid": [
41
+ 1.4573177099227905,
42
+ -0.8371112942695618,
43
+ -0.6714600324630737
44
+ ],
45
+ "distance_to_camera": 1.4194830200602944,
46
+ "width": 0.9280273914337158,
47
+ "length": 0.9431158006191254,
48
+ "height": 0.15932631492614746
49
+ },
50
+ "scene_id": "0282_txt_5f24cf097766",
51
+ "layout_path": null,
52
+ "image_path": "question_image_3.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/004_relative_direction/question_5.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "Describe the spatial relationship of shelf (blue bbox) relative to shelf (red bbox) as seen by the camera. Calculate or judge based on the 3D center points of these objects. Select your answer.",
4
+ "choices": [
5
+ "A. left, below, farther",
6
+ "B. right, above, ",
7
+ "C. right, below, farther",
8
+ "D. left, above, "
9
+ ],
10
+ "answer": "A",
11
+ "camera_name": "rand_034",
12
+ "camera_position": [
13
+ 0.2892307548131494,
14
+ -1.639935628320116,
15
+ -0.5941425169929975
16
+ ],
17
+ "camera_look_at": [
18
+ 1.0106006363039528,
19
+ 0.9197090242871382,
20
+ -0.7048359475110595
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "shelf",
25
+ "id": "shelf_1",
26
+ "centroid": [
27
+ 0.7850164175033569,
28
+ 0.9955302476882935,
29
+ -1.2034913301467896
30
+ ],
31
+ "distance_to_camera": 2.7500526873181683,
32
+ "width": 0.7651857137680054,
33
+ "length": 0.9988282918930054,
34
+ "height": 0.07700228691101074
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "shelf",
39
+ "id": "shelf_0",
40
+ "centroid": [
41
+ 0.8513299226760864,
42
+ 0.6699343919754028,
43
+ -0.450439453125
44
+ ],
45
+ "distance_to_camera": 2.3816182640669514,
46
+ "width": 0.9180469512939453,
47
+ "length": 0.7822461128234863,
48
+ "height": 0.0673828125
49
+ },
50
+ "scene_id": "0282_txt_5f24cf097766",
51
+ "layout_path": null,
52
+ "image_path": "question_image_5.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/004_relative_direction/question_8.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "Determine the relative direction of door (blue bbox) from artwork (red bbox) as seen from the camera. Calculate or judge based on the 3D center points of these objects. Choose the correct response.",
4
+ "choices": [
5
+ "A. left, below, farther",
6
+ "B. , below, closer",
7
+ "C. left, , closer",
8
+ "D. , , "
9
+ ],
10
+ "answer": "A",
11
+ "camera_name": "view_009",
12
+ "camera_position": [
13
+ -0.0,
14
+ -0.0,
15
+ 0.0
16
+ ],
17
+ "camera_look_at": [
18
+ -9.659257888793945,
19
+ 1.774377005765162e-15,
20
+ -2.5881905555725098
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "door",
25
+ "id": "door_1",
26
+ "centroid": [
27
+ -2.718203067779541,
28
+ -0.7073046565055847,
29
+ -1.544970691204071
30
+ ],
31
+ "distance_to_camera": 3.2055954566164733,
32
+ "width": 0.2569873332977295,
33
+ "length": 0.14591312408447266,
34
+ "height": 1.030175805091858
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "artwork",
39
+ "id": "artwork_6",
40
+ "centroid": [
41
+ -0.9852209687232971,
42
+ 0.33588796854019165,
43
+ 0.1085205078125
44
+ ],
45
+ "distance_to_camera": 1.046545644125478,
46
+ "width": 0.34912109375,
47
+ "length": 0.279052734375,
48
+ "height": 0.371337890625
49
+ },
50
+ "scene_id": "0282_txt_5f24cf097766",
51
+ "layout_path": null,
52
+ "image_path": "question_image_8.jpg"
53
+ }
0282_txt_5f24cf097766/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 shelf in the first image, locate its bounding box in the second image. Pick the appropriate answer from the options given.\nA. [462, 516, 857, 572]\nB. [0, 352, 250, 424]\nC. [541, 642, 758, 998]\nD. [0, 0, 274, 773]\nYour answer can only include one of the options A, B, C, or D.",
4
+ "choices": [
5
+ "A. [462, 516, 857, 572]",
6
+ "B. [0, 352, 250, 424]",
7
+ "C. [541, 642, 758, 998]",
8
+ "D. [0, 0, 274, 773]"
9
+ ],
10
+ "answer": "A",
11
+ "camera_a": {
12
+ "name": "view_002",
13
+ "position": [
14
+ -0.0,
15
+ -0.0,
16
+ 0.0
17
+ ],
18
+ "look_at": [
19
+ 8.36516284942627,
20
+ -4.829628944396973,
21
+ -2.5881905555725098
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_005",
26
+ "position": [
27
+ 0.05786551276436282,
28
+ -1.0056416387820897,
29
+ -0.6460222954329433
30
+ ],
31
+ "look_at": [
32
+ 2.476998929151297,
33
+ 0.17951135492980708,
34
+ -0.7268823137108205
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "shelf",
39
+ "id": "shelf_2",
40
+ "centroid": [
41
+ 1.501829743385315,
42
+ -0.3580622673034668,
43
+ -0.7842309474945068
44
+ ],
45
+ "width": 0.44378936290740967,
46
+ "length": 1.1250686794519424,
47
+ "height": 0.08213376998901367
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_0_a.jpg",
52
+ "image_path_b": "question_image_0_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_1.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "In the first image, box is bounded by a red box. Which bounding box in the second image shows the same object?\nA. [462, 516, 857, 572]\nB. [541, 642, 758, 998]\nC. [0, 352, 250, 424]\nD. [532, 435, 877, 552]\nChoose A, B, C, or D.",
4
+ "choices": [
5
+ "A. [462, 516, 857, 572]",
6
+ "B. [541, 642, 758, 998]",
7
+ "C. [0, 352, 250, 424]",
8
+ "D. [532, 435, 877, 552]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "view_002",
13
+ "position": [
14
+ -0.0,
15
+ -0.0,
16
+ 0.0
17
+ ],
18
+ "look_at": [
19
+ 8.36516284942627,
20
+ -4.829628944396973,
21
+ -2.5881905555725098
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_005",
26
+ "position": [
27
+ 0.05786551276436282,
28
+ -1.0056416387820897,
29
+ -0.6460222954329433
30
+ ],
31
+ "look_at": [
32
+ 2.476998929151297,
33
+ 0.17951135492980708,
34
+ -0.7268823137108205
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "box",
39
+ "id": "box_0",
40
+ "centroid": [
41
+ 1.4573177099227905,
42
+ -0.8371112942695618,
43
+ -0.6714600324630737
44
+ ],
45
+ "width": 0.9280273914337158,
46
+ "length": 0.9431158006191254,
47
+ "height": 0.15932631492614746
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_1_a.jpg",
52
+ "image_path_b": "question_image_1_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_10.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Match the box (red bbox, first image) to its bounding box in the second image.\nA. [154, 76, 424, 115]\nB. [594, 145, 754, 168]\nC. [0, 119, 306, 580]\nD. [545, 139, 894, 256]\nRespond with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [154, 76, 424, 115]",
6
+ "B. [594, 145, 754, 168]",
7
+ "C. [0, 119, 306, 580]",
8
+ "D. [545, 139, 894, 256]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "view_001",
13
+ "position": [
14
+ -0.0,
15
+ -0.0,
16
+ 0.0
17
+ ],
18
+ "look_at": [
19
+ 4.829628944396973,
20
+ -8.36516284942627,
21
+ -2.5881905555725098
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_007",
26
+ "position": [
27
+ -0.07276013231700004,
28
+ -2.254737523596287,
29
+ -0.4099220422454559
30
+ ],
31
+ "look_at": [
32
+ 0.3279188836857077,
33
+ -1.6588851341039135,
34
+ -0.8073427104485447
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "box",
39
+ "id": "box_0",
40
+ "centroid": [
41
+ 1.4573177099227905,
42
+ -0.8371112942695618,
43
+ -0.6714600324630737
44
+ ],
45
+ "width": 0.9280273914337158,
46
+ "length": 0.9431158006191254,
47
+ "height": 0.15932631492614746
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_10_a.jpg",
52
+ "image_path_b": "question_image_10_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_11.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Identify which bounding box in the second image matches the storage bin (red bbox) from the first image.\nA. [662, 347, 793, 747]\nB. [352, 0, 452, 211]\nC. [735, 448, 915, 737]\nD. [0, 0, 999, 998]\nYour answer should be A, B, C, or D.",
4
+ "choices": [
5
+ "A. [662, 347, 793, 747]",
6
+ "B. [352, 0, 452, 211]",
7
+ "C. [735, 448, 915, 737]",
8
+ "D. [0, 0, 999, 998]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_006",
13
+ "position": [
14
+ 0.019538010588035448,
15
+ -0.7510584024128041,
16
+ -0.7753271461251092
17
+ ],
18
+ "look_at": [
19
+ -1.1778152497395826,
20
+ -1.6543070019571153,
21
+ -0.8480133563164542
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_040",
26
+ "position": [
27
+ 1.3301888225537224,
28
+ -0.39690729812934267,
29
+ -0.44191610478937404
30
+ ],
31
+ "look_at": [
32
+ 0.40139870706010017,
33
+ -1.6227549560939427,
34
+ -0.7597739336648738
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "storage bin",
39
+ "id": "storage bin_0",
40
+ "centroid": [
41
+ -1.3545222282409668,
42
+ -1.4919536113739014,
43
+ -1.278779298067093
44
+ ],
45
+ "width": 0.38525390625,
46
+ "length": 0.543818473815918,
47
+ "height": 0.9356054663658142
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_11_a.jpg",
52
+ "image_path_b": "question_image_11_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_12.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Locate the book shown by the red bbox in image 1 within the second image. Which option matches?\nA. [790, 459, 999, 597]\nB. [738, 530, 999, 600]\nC. [342, 271, 481, 417]\nD. [322, 108, 641, 682]\nAnswer A, B, C, or D.",
4
+ "choices": [
5
+ "A. [790, 459, 999, 597]",
6
+ "B. [738, 530, 999, 600]",
7
+ "C. [342, 271, 481, 417]",
8
+ "D. [322, 108, 641, 682]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_031",
13
+ "position": [
14
+ -0.6139605811178903,
15
+ -1.6728597798405962,
16
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+ "camera_b": {
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+ "name": "rand_034",
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+ "position": [
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+ ]
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+ },
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+ "object": {
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+ "label": "book",
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+ "id": "book_0",
40
+ "centroid": [
41
+ 0.5578253865242004,
42
+ 0.971293568611145,
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+ },
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+ "scene_id": "0282_txt_5f24cf097766",
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+ "layout_path": null,
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+ "image_path_a": "question_image_12_a.jpg",
52
+ "image_path_b": "question_image_12_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_13.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The storage bin 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. [477, 352, 514, 662]\nB. [26, 407, 319, 888]\nC. [63, 512, 308, 647]\nD. [163, 828, 316, 942]\nAnswer with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [477, 352, 514, 662]",
6
+ "B. [26, 407, 319, 888]",
7
+ "C. [63, 512, 308, 647]",
8
+ "D. [163, 828, 316, 942]"
9
+ ],
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+ "answer": "B",
11
+ "camera_a": {
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+ "name": "rand_018",
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+ "position": [
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+ -0.3265811053982361,
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+ -0.5299591783149284
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+ -1.470050149541201,
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+ -1.1920009704510972
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+ ]
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+ },
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+ "camera_b": {
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+ "name": "rand_026",
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+ "position": [
27
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+ ]
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+ },
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+ "object": {
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+ "label": "storage bin",
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+ "id": "storage bin_0",
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+ "length": 0.543818473815918,
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+ "height": 0.9356054663658142
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+ },
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+ "layout_path": null,
51
+ "image_path_a": "question_image_13_a.jpg",
52
+ "image_path_b": "question_image_13_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_14.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "In the first image, chair is bounded by a red box. Which bounding box in the second image shows the same object?\nA. [287, 0, 440, 170]\nB. [35, 0, 278, 332]\nC. [281, 779, 319, 879]\nD. [247, 310, 561, 775]\nChoose A, B, C, or D.",
4
+ "choices": [
5
+ "A. [287, 0, 440, 170]",
6
+ "B. [35, 0, 278, 332]",
7
+ "C. [281, 779, 319, 879]",
8
+ "D. [247, 310, 561, 775]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
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+ "name": "rand_030",
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+ "position": [
14
+ -0.3939310763509958,
15
+ -2.1459872757807883,
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+ -0.5984148013640329
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+ ],
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+ 0.9243387369669609,
21
+ -0.6530284025262513
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+ ]
23
+ },
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+ "camera_b": {
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+ "name": "rand_017",
26
+ "position": [
27
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28
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29
+ -0.390471542008368
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+ ],
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+ -0.8448224556878083
35
+ ]
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+ },
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+ "object": {
38
+ "label": "chair",
39
+ "id": "chair_0",
40
+ "centroid": [
41
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42
+ -1.192366123199463,
43
+ -0.848271369934082
44
+ ],
45
+ "width": 0.7188769578933716,
46
+ "length": 0.4233589172363281,
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+ "height": 0.7531833648681641
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+ },
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+ "scene_id": "0282_txt_5f24cf097766",
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+ "layout_path": null,
51
+ "image_path_a": "question_image_14_a.jpg",
52
+ "image_path_b": "question_image_14_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_15.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The chair is indicated by the red bbox in image 1. Select the corresponding bbox in image 2.\nA. [454, 380, 641, 666]\nB. [453, 436, 675, 469]\nC. [93, 141, 219, 320]\nD. [452, 613, 489, 667]\nAnswer with one letter: A, B, C, or D.",
4
+ "choices": [
5
+ "A. [454, 380, 641, 666]",
6
+ "B. [453, 436, 675, 469]",
7
+ "C. [93, 141, 219, 320]",
8
+ "D. [452, 613, 489, 667]"
9
+ ],
10
+ "answer": "A",
11
+ "camera_a": {
12
+ "name": "rand_004",
13
+ "position": [
14
+ 0.5209717432783897,
15
+ -0.584680765356677,
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17
+ ],
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20
+ -1.602286131404169,
21
+ -0.7058058638526336
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_030",
26
+ "position": [
27
+ -0.3939310763509958,
28
+ -2.1459872757807883,
29
+ -0.5984148013640329
30
+ ],
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33
+ 0.9243387369669609,
34
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35
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36
+ },
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+ "object": {
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+ "label": "chair",
39
+ "id": "chair_0",
40
+ "centroid": [
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42
+ -1.192366123199463,
43
+ -0.848271369934082
44
+ ],
45
+ "width": 0.7188769578933716,
46
+ "length": 0.4233589172363281,
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+ "height": 0.7531833648681641
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_15_a.jpg",
52
+ "image_path_b": "question_image_15_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_16.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Identify which bounding box in the second image matches the pegboard (red bbox) from the first image.\nA. [307, 511, 639, 566]\nB. [625, 459, 999, 998]\nC. [850, 0, 999, 460]\nD. [678, 97, 804, 348]\nYour answer should be A, B, C, or D.",
4
+ "choices": [
5
+ "A. [307, 511, 639, 566]",
6
+ "B. [625, 459, 999, 998]",
7
+ "C. [850, 0, 999, 460]",
8
+ "D. [678, 97, 804, 348]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_060",
13
+ "position": [
14
+ 0.6486990204996258,
15
+ -0.1922573898040122,
16
+ -0.5189908069627807
17
+ ],
18
+ "look_at": [
19
+ -0.04981756938812976,
20
+ -3.0353129804756005,
21
+ -0.592980425529309
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_021",
26
+ "position": [
27
+ -0.7503248998630836,
28
+ -0.643442791367382,
29
+ -0.40589336811167964
30
+ ],
31
+ "look_at": [
32
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33
+ -0.896145128953852,
34
+ -0.670438775485206
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "pegboard",
39
+ "id": "pegboard_0",
40
+ "centroid": [
41
+ 0.7925713062286377,
42
+ -2.261603832244873,
43
+ -0.0172119140625
44
+ ],
45
+ "width": 0.5712890625,
46
+ "length": 0.458984375,
47
+ "height": 0.968994140625
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_16_a.jpg",
52
+ "image_path_b": "question_image_16_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_17.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Find the matching bounding box for shelf (red bbox in image 1) in the second image.\nA. [377, 432, 606, 471]\nB. [702, 487, 999, 621]\nC. [165, 231, 238, 318]\nD. [378, 606, 483, 648]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [377, 432, 606, 471]",
6
+ "B. [702, 487, 999, 621]",
7
+ "C. [165, 231, 238, 318]",
8
+ "D. [378, 606, 483, 648]"
9
+ ],
10
+ "answer": "A",
11
+ "camera_a": {
12
+ "name": "view_003",
13
+ "position": [
14
+ -0.0,
15
+ -0.0,
16
+ 0.0
17
+ ],
18
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19
+ 9.659257888793945,
20
+ -5.914589666286812e-16,
21
+ -2.5881905555725098
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_035",
26
+ "position": [
27
+ 0.36430956013344074,
28
+ -2.0340617924301494,
29
+ -0.5323161202065667
30
+ ],
31
+ "look_at": [
32
+ 0.9264235895531783,
33
+ 0.9355824154600301,
34
+ -0.6570351077008757
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "shelf",
39
+ "id": "shelf_0",
40
+ "centroid": [
41
+ 0.8513299226760864,
42
+ 0.6699343919754028,
43
+ -0.450439453125
44
+ ],
45
+ "width": 0.9180469512939453,
46
+ "length": 0.7822461128234863,
47
+ "height": 0.0673828125
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_17_a.jpg",
52
+ "image_path_b": "question_image_17_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_18.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The pegboard is indicated by the red bbox in image 1. Select the corresponding bbox in image 2.\nA. [0, 0, 999, 998]\nB. [210, 19, 408, 482]\nC. [435, 120, 573, 338]\nD. [347, 433, 768, 998]\nAnswer with one letter: A, B, C, or D.",
4
+ "choices": [
5
+ "A. [0, 0, 999, 998]",
6
+ "B. [210, 19, 408, 482]",
7
+ "C. [435, 120, 573, 338]",
8
+ "D. [347, 433, 768, 998]"
9
+ ],
10
+ "answer": "B",
11
+ "camera_a": {
12
+ "name": "rand_044",
13
+ "position": [
14
+ 0.7084321527328612,
15
+ -1.1606159169729622,
16
+ -0.510606234301453
17
+ ],
18
+ "look_at": [
19
+ 0.9351292180740295,
20
+ -2.268012934375333,
21
+ -0.574598724990331
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_060",
26
+ "position": [
27
+ 0.6486990204996258,
28
+ -0.1922573898040122,
29
+ -0.5189908069627807
30
+ ],
31
+ "look_at": [
32
+ -0.04981756938812976,
33
+ -3.0353129804756005,
34
+ -0.592980425529309
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "pegboard",
39
+ "id": "pegboard_0",
40
+ "centroid": [
41
+ 0.7925713062286377,
42
+ -2.261603832244873,
43
+ -0.0172119140625
44
+ ],
45
+ "width": 0.5712890625,
46
+ "length": 0.458984375,
47
+ "height": 0.968994140625
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_18_a.jpg",
52
+ "image_path_b": "question_image_18_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_19.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The red bbox in the first image highlights the box. Identify the correct bounding box for the same object in the second image.\nA. [750, 528, 999, 649]\nB. [262, 298, 317, 370]\nC. [806, 535, 999, 560]\nD. [418, 259, 668, 651]\nPick one: A, B, C, or D.",
4
+ "choices": [
5
+ "A. [750, 528, 999, 649]",
6
+ "B. [262, 298, 317, 370]",
7
+ "C. [806, 535, 999, 560]",
8
+ "D. [418, 259, 668, 651]"
9
+ ],
10
+ "answer": "A",
11
+ "camera_a": {
12
+ "name": "view_001",
13
+ "position": [
14
+ -0.0,
15
+ -0.0,
16
+ 0.0
17
+ ],
18
+ "look_at": [
19
+ 4.829628944396973,
20
+ -8.36516284942627,
21
+ -2.5881905555725098
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_046",
26
+ "position": [
27
+ -0.025413529175440354,
28
+ -2.333402540099153,
29
+ -0.4202012084459894
30
+ ],
31
+ "look_at": [
32
+ 0.7036350173427129,
33
+ 1.1036626373429863,
34
+ -0.534979820711028
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "box",
39
+ "id": "box_0",
40
+ "centroid": [
41
+ 1.4573177099227905,
42
+ -0.8371112942695618,
43
+ -0.6714600324630737
44
+ ],
45
+ "width": 0.9280273914337158,
46
+ "length": 0.9431158006191254,
47
+ "height": 0.15932631492614746
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_19_a.jpg",
52
+ "image_path_b": "question_image_19_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_2.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Identify which bounding box in the second image matches the door (red bbox) from the first image.\nA. [750, 341, 837, 659]\nB. [427, 253, 489, 350]\nC. [385, 188, 630, 778]\nD. [419, 347, 587, 682]\nYour answer should be A, B, C, or D.",
4
+ "choices": [
5
+ "A. [750, 341, 837, 659]",
6
+ "B. [427, 253, 489, 350]",
7
+ "C. [385, 188, 630, 778]",
8
+ "D. [419, 347, 587, 682]"
9
+ ],
10
+ "answer": "A",
11
+ "camera_a": {
12
+ "name": "rand_036",
13
+ "position": [
14
+ 0.28664141763577633,
15
+ -1.7341334697239446,
16
+ -0.5480425751195681
17
+ ],
18
+ "look_at": [
19
+ -1.2937284243293274,
20
+ -1.584714740092056,
21
+ -0.695326408721753
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_018",
26
+ "position": [
27
+ 0.2971119973833644,
28
+ -0.3265811053982361,
29
+ -0.5299591783149284
30
+ ],
31
+ "look_at": [
32
+ -1.2908834577661579,
33
+ -1.470050149541201,
34
+ -1.1920009704510972
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "door",
39
+ "id": "door_1",
40
+ "centroid": [
41
+ -2.718203067779541,
42
+ -0.7073046565055847,
43
+ -1.544970691204071
44
+ ],
45
+ "width": 0.2569873332977295,
46
+ "length": 0.14591312408447266,
47
+ "height": 1.030175805091858
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_2_a.jpg",
52
+ "image_path_b": "question_image_2_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_20.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The chair is indicated by the red bbox in image 1. Select the corresponding bbox in image 2.\nA. [645, 0, 999, 454]\nB. [658, 369, 841, 459]\nC. [188, 246, 614, 613]\nD. [682, 24, 850, 189]\nAnswer with one letter: A, B, C, or D.",
4
+ "choices": [
5
+ "A. [645, 0, 999, 454]",
6
+ "B. [658, 369, 841, 459]",
7
+ "C. [188, 246, 614, 613]",
8
+ "D. [682, 24, 850, 189]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_058",
13
+ "position": [
14
+ 0.6830690777702532,
15
+ -0.8328594973057198,
16
+ -0.3928891491143447
17
+ ],
18
+ "look_at": [
19
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20
+ -1.6122402330693215,
21
+ -0.6941324106330791
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_048",
26
+ "position": [
27
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28
+ -2.0569565946262243,
29
+ -0.364474276586636
30
+ ],
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+ -1.1031287367378448,
34
+ -0.7941499499382738
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+ ]
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+ },
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+ "object": {
38
+ "label": "chair",
39
+ "id": "chair_0",
40
+ "centroid": [
41
+ 0.06670965254306793,
42
+ -1.192366123199463,
43
+ -0.848271369934082
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+ ],
45
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+ "length": 0.4233589172363281,
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+ "height": 0.7531833648681641
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+ },
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+ "scene_id": "0282_txt_5f24cf097766",
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+ "layout_path": null,
51
+ "image_path_a": "question_image_20_a.jpg",
52
+ "image_path_b": "question_image_20_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_21.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Match the pegboard (red bbox, first image) to its bounding box in the second image.\nA. [255, 423, 530, 904]\nB. [0, 0, 163, 460]\nC. [573, 477, 614, 538]\nD. [0, 0, 999, 998]\nRespond with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [255, 423, 530, 904]",
6
+ "B. [0, 0, 163, 460]",
7
+ "C. [573, 477, 614, 538]",
8
+ "D. [0, 0, 999, 998]"
9
+ ],
10
+ "answer": "B",
11
+ "camera_a": {
12
+ "name": "rand_060",
13
+ "position": [
14
+ 0.6486990204996258,
15
+ -0.1922573898040122,
16
+ -0.5189908069627807
17
+ ],
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+ "look_at": [
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+ -0.04981756938812976,
20
+ -3.0353129804756005,
21
+ -0.592980425529309
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+ ]
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+ },
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+ "camera_b": {
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+ "name": "rand_057",
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+ "position": [
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+ -0.030583769952572837,
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+ -0.5860964504887995
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+ ],
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+ -0.6576468094667488
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+ ]
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+ },
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+ "object": {
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+ "label": "pegboard",
39
+ "id": "pegboard_0",
40
+ "centroid": [
41
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42
+ -2.261603832244873,
43
+ -0.0172119140625
44
+ ],
45
+ "width": 0.5712890625,
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+ "length": 0.458984375,
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+ "height": 0.968994140625
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+ },
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+ "scene_id": "0282_txt_5f24cf097766",
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+ "layout_path": null,
51
+ "image_path_a": "question_image_21_a.jpg",
52
+ "image_path_b": "question_image_21_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_22.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Find the matching bounding box for photo (red bbox in image 1) in the second image.\nA. [247, 310, 561, 775]\nB. [0, 0, 999, 998]\nC. [281, 779, 319, 879]\nD. [287, 0, 440, 170]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [247, 310, 561, 775]",
6
+ "B. [0, 0, 999, 998]",
7
+ "C. [281, 779, 319, 879]",
8
+ "D. [287, 0, 440, 170]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_060",
13
+ "position": [
14
+ 0.6486990204996258,
15
+ -0.1922573898040122,
16
+ -0.5189908069627807
17
+ ],
18
+ "look_at": [
19
+ -0.04981756938812976,
20
+ -3.0353129804756005,
21
+ -0.592980425529309
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_017",
26
+ "position": [
27
+ 0.604457621530436,
28
+ 0.15618611852704828,
29
+ -0.390471542008368
30
+ ],
31
+ "look_at": [
32
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33
+ -1.267093888650615,
34
+ -0.8448224556878083
35
+ ]
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+ },
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+ "object": {
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+ "label": "photo",
39
+ "id": "photo_3",
40
+ "centroid": [
41
+ -0.10036621242761612,
42
+ -2.9747602939605713,
43
+ 0.39411377534270287
44
+ ],
45
+ "width": 0.8767138421535492,
46
+ "length": 0.7067039012908936,
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+ "height": 0.9144287183880806
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+ },
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+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_22_a.jpg",
52
+ "image_path_b": "question_image_22_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_23.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Locate the chair shown by the red bbox in image 1 within the second image. Which option matches?\nA. [435, 120, 573, 338]\nB. [210, 19, 408, 482]\nC. [0, 0, 999, 998]\nD. [347, 433, 768, 998]\nAnswer A, B, C, or D.",
4
+ "choices": [
5
+ "A. [435, 120, 573, 338]",
6
+ "B. [210, 19, 408, 482]",
7
+ "C. [0, 0, 999, 998]",
8
+ "D. [347, 433, 768, 998]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_021",
13
+ "position": [
14
+ -0.7503248998630836,
15
+ -0.643442791367382,
16
+ -0.40589336811167964
17
+ ],
18
+ "look_at": [
19
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20
+ -0.896145128953852,
21
+ -0.670438775485206
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_060",
26
+ "position": [
27
+ 0.6486990204996258,
28
+ -0.1922573898040122,
29
+ -0.5189908069627807
30
+ ],
31
+ "look_at": [
32
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33
+ -3.0353129804756005,
34
+ -0.592980425529309
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+ ]
36
+ },
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+ "object": {
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+ "label": "chair",
39
+ "id": "chair_0",
40
+ "centroid": [
41
+ 0.06670965254306793,
42
+ -1.192366123199463,
43
+ -0.848271369934082
44
+ ],
45
+ "width": 0.7188769578933716,
46
+ "length": 0.4233589172363281,
47
+ "height": 0.7531833648681641
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+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_23_a.jpg",
52
+ "image_path_b": "question_image_23_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_24.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Find the matching bounding box for shelf (red bbox in image 1) in the second image.\nA. [0, 0, 886, 998]\nB. [0, 0, 747, 883]\nC. [354, 288, 644, 546]\nD. [680, 7, 739, 230]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [0, 0, 886, 998]",
6
+ "B. [0, 0, 747, 883]",
7
+ "C. [354, 288, 644, 546]",
8
+ "D. [680, 7, 739, 230]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_043",
13
+ "position": [
14
+ 0.16353116792117695,
15
+ -0.9256919962004273,
16
+ -0.594485977266324
17
+ ],
18
+ "look_at": [
19
+ -2.728914698262817,
20
+ -0.6865840717708676,
21
+ -1.5148393573524987
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_010",
26
+ "position": [
27
+ -0.9237516211687771,
28
+ -1.5502297724299652,
29
+ -0.7076608090939684
30
+ ],
31
+ "look_at": [
32
+ -1.3011545905964848,
33
+ -1.5107117711473392,
34
+ -1.174800076604343
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "shelf",
39
+ "id": "shelf_3",
40
+ "centroid": [
41
+ -1.4163073301315308,
42
+ -1.4441076517105103,
43
+ -1.193906307220459
44
+ ],
45
+ "width": 0.4203125238418579,
46
+ "length": 0.5548830032348633,
47
+ "height": 0.23685550689697266
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_24_a.jpg",
52
+ "image_path_b": "question_image_24_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_25.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The red bbox in the first image highlights the chair. Identify the correct bounding box for the same object in the second image.\nA. [452, 613, 489, 667]\nB. [439, 220, 696, 661]\nC. [454, 380, 641, 666]\nD. [453, 436, 675, 469]\nPick one: A, B, C, or D.",
4
+ "choices": [
5
+ "A. [452, 613, 489, 667]",
6
+ "B. [439, 220, 696, 661]",
7
+ "C. [454, 380, 641, 666]",
8
+ "D. [453, 436, 675, 469]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_017",
13
+ "position": [
14
+ 0.604457621530436,
15
+ 0.15618611852704828,
16
+ -0.390471542008368
17
+ ],
18
+ "look_at": [
19
+ -0.017079157994788208,
20
+ -1.267093888650615,
21
+ -0.8448224556878083
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_030",
26
+ "position": [
27
+ -0.3939310763509958,
28
+ -2.1459872757807883,
29
+ -0.5984148013640329
30
+ ],
31
+ "look_at": [
32
+ 0.5035932037006221,
33
+ 0.9243387369669609,
34
+ -0.6530284025262513
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "chair",
39
+ "id": "chair_0",
40
+ "centroid": [
41
+ 0.06670965254306793,
42
+ -1.192366123199463,
43
+ -0.848271369934082
44
+ ],
45
+ "width": 0.7188769578933716,
46
+ "length": 0.4233589172363281,
47
+ "height": 0.7531833648681641
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_25_a.jpg",
52
+ "image_path_b": "question_image_25_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_26.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The artwork 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. [478, 530, 652, 894]\nB. [10, 446, 323, 998]\nC. [485, 433, 550, 533]\nD. [0, 0, 999, 998]\nAnswer with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [478, 530, 652, 894]",
6
+ "B. [10, 446, 323, 998]",
7
+ "C. [485, 433, 550, 533]",
8
+ "D. [0, 0, 999, 998]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_029",
13
+ "position": [
14
+ 0.630072306196483,
15
+ -0.5711832464080748,
16
+ -0.5165768702769373
17
+ ],
18
+ "look_at": [
19
+ 0.416083935102175,
20
+ -1.5231674686132588,
21
+ -0.6058974107583706
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_041",
26
+ "position": [
27
+ 0.29941864664463025,
28
+ -0.6011905227492531,
29
+ -0.38827966162713423
30
+ ],
31
+ "look_at": [
32
+ -1.2781746442475843,
33
+ -1.7071572006096916,
34
+ -0.72947473284612
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "artwork",
39
+ "id": "artwork_0",
40
+ "centroid": [
41
+ -1.2790493965148926,
42
+ -2.2341432571411133,
43
+ 0.2599853575229645
44
+ ],
45
+ "width": 0.6708984375,
46
+ "length": 1.940185546875,
47
+ "height": 1.301708996295929
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_26_a.jpg",
52
+ "image_path_b": "question_image_26_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_27.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Based on the red bbox of storage bin in the first image, locate its bounding box in the second image. Pick the appropriate answer from the options given.\nA. [83, 356, 362, 860]\nB. [212, 792, 358, 915]\nC. [478, 336, 508, 639]\nD. [166, 508, 355, 603]\nYour answer can only include one of the options A, B, C, or D.",
4
+ "choices": [
5
+ "A. [83, 356, 362, 860]",
6
+ "B. [212, 792, 358, 915]",
7
+ "C. [478, 336, 508, 639]",
8
+ "D. [166, 508, 355, 603]"
9
+ ],
10
+ "answer": "A",
11
+ "camera_a": {
12
+ "name": "rand_006",
13
+ "position": [
14
+ 0.019538010588035448,
15
+ -0.7510584024128041,
16
+ -0.7753271461251092
17
+ ],
18
+ "look_at": [
19
+ -1.1778152497395826,
20
+ -1.6543070019571153,
21
+ -0.8480133563164542
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_043",
26
+ "position": [
27
+ 0.16353116792117695,
28
+ -0.9256919962004273,
29
+ -0.594485977266324
30
+ ],
31
+ "look_at": [
32
+ -2.728914698262817,
33
+ -0.6865840717708676,
34
+ -1.5148393573524987
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "storage bin",
39
+ "id": "storage bin_0",
40
+ "centroid": [
41
+ -1.3545222282409668,
42
+ -1.4919536113739014,
43
+ -1.278779298067093
44
+ ],
45
+ "width": 0.38525390625,
46
+ "length": 0.543818473815918,
47
+ "height": 0.9356054663658142
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_27_a.jpg",
52
+ "image_path_b": "question_image_27_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_28.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Based on the red bbox of chair in the first image, locate its bounding box in the second image. Pick the appropriate answer from the options given.\nA. [0, 119, 306, 580]\nB. [545, 139, 894, 256]\nC. [263, 265, 381, 313]\nD. [121, 0, 452, 300]\nYour answer can only include one of the options A, B, C, or D.",
4
+ "choices": [
5
+ "A. [0, 119, 306, 580]",
6
+ "B. [545, 139, 894, 256]",
7
+ "C. [263, 265, 381, 313]",
8
+ "D. [121, 0, 452, 300]"
9
+ ],
10
+ "answer": "A",
11
+ "camera_a": {
12
+ "name": "rand_038",
13
+ "position": [
14
+ 0.48594124276748096,
15
+ -1.6001395147863877,
16
+ -0.3751903166543564
17
+ ],
18
+ "look_at": [
19
+ 0.09327416065824423,
20
+ -1.1289073813728954,
21
+ -0.8353295614141683
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_007",
26
+ "position": [
27
+ -0.07276013231700004,
28
+ -2.254737523596287,
29
+ -0.4099220422454559
30
+ ],
31
+ "look_at": [
32
+ 0.3279188836857077,
33
+ -1.6588851341039135,
34
+ -0.8073427104485447
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "chair",
39
+ "id": "chair_0",
40
+ "centroid": [
41
+ 0.06670965254306793,
42
+ -1.192366123199463,
43
+ -0.848271369934082
44
+ ],
45
+ "width": 0.7188769578933716,
46
+ "length": 0.4233589172363281,
47
+ "height": 0.7531833648681641
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_28_a.jpg",
52
+ "image_path_b": "question_image_28_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_29.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The shelf 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. [263, 265, 381, 313]\nB. [0, 119, 306, 580]\nC. [154, 76, 424, 115]\nD. [594, 145, 754, 168]\nAnswer with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [263, 265, 381, 313]",
6
+ "B. [0, 119, 306, 580]",
7
+ "C. [154, 76, 424, 115]",
8
+ "D. [594, 145, 754, 168]"
9
+ ],
10
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+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_3.json ADDED
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+ {
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+ "type": "object_matching_mv",
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+ "question": "Match the chair (red bbox, first image) to its bounding box in the second image.\nA. [750, 341, 837, 659]\nB. [0, 148, 197, 998]\nC. [419, 347, 587, 682]\nD. [427, 253, 489, 350]\nRespond with A, B, C, or D only.",
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+ "C. [419, 347, 587, 682]",
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+ "D. [427, 253, 489, 350]"
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+ ],
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+ }
0282_txt_5f24cf097766/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": "The storage bin is indicated by the red bbox in image 1. Select the corresponding bbox in image 2.\nA. [83, 356, 362, 860]\nB. [166, 508, 355, 603]\nC. [0, 132, 395, 998]\nD. [478, 336, 508, 639]\nAnswer with one letter: A, B, C, or D.",
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+ "choices": [
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+ "B. [166, 508, 355, 603]",
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+ "C. [0, 132, 395, 998]",
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+ "D. [478, 336, 508, 639]"
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+ ],
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+ "answer": "A",
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+ "camera_a": {
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+ "label": "storage bin",
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+ "id": "storage bin_0",
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+ "image_path_b": "question_image_30_b.jpg"
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+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_31.json ADDED
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1
+ {
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+ "type": "object_matching_mv",
3
+ "question": "In the first image, bookshelf is bounded by a red box. Which bounding box in the second image shows the same object?\nA. [214, 496, 497, 826]\nB. [806, 535, 999, 560]\nC. [66, 222, 190, 372]\nD. [418, 259, 668, 651]\nChoose A, B, C, or D.",
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+ "B. [806, 535, 999, 560]",
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+ "C. [66, 222, 190, 372]",
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+ "D. [418, 259, 668, 651]"
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+ ],
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+ "answer": "D",
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+ "camera_b": {
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+ "position": [
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+ "label": "bookshelf",
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+ "id": "bookshelf_1",
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+ "image_path_b": "question_image_31_b.jpg"
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+ }
0282_txt_5f24cf097766/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 chair. Identify the correct bounding box for the same object in the second image.\nA. [518, 358, 989, 998]\nB. [165, 0, 422, 433]\nC. [0, 0, 999, 998]\nD. [453, 0, 612, 259]\nPick one: A, B, C, or D.",
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+ "choices": [
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+ "A. [518, 358, 989, 998]",
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+ "B. [165, 0, 422, 433]",
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+ "C. [0, 0, 999, 998]",
8
+ "D. [453, 0, 612, 259]"
9
+ ],
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+ "answer": "A",
11
+ "camera_a": {
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+ "name": "rand_046",
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+ "position": [
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+ -2.333402540099153,
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+ "camera_b": {
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+ "name": "rand_029",
26
+ "position": [
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+ "label": "chair",
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+ "id": "chair_0",
40
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+ ],
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+ "length": 0.4233589172363281,
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+ "image_path_a": "question_image_32_a.jpg",
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+ "image_path_b": "question_image_32_b.jpg"
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+ }
0282_txt_5f24cf097766/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 chair. Identify the correct bounding box for the same object in the second image.\nA. [324, 449, 548, 998]\nB. [505, 452, 519, 502]\nC. [409, 130, 632, 220]\nD. [393, 397, 645, 945]\nPick one: A, B, C, or D.",
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+ "choices": [
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+ "A. [324, 449, 548, 998]",
6
+ "B. [505, 452, 519, 502]",
7
+ "C. [409, 130, 632, 220]",
8
+ "D. [393, 397, 645, 945]"
9
+ ],
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+ "answer": "A",
11
+ "camera_a": {
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+ "name": "rand_018",
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+ "position": [
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15
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+ -0.5299591783149284
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22
+ ]
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+ "camera_b": {
25
+ "name": "rand_058",
26
+ "position": [
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28
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+ "object": {
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+ "label": "chair",
39
+ "id": "chair_0",
40
+ "centroid": [
41
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42
+ -1.192366123199463,
43
+ -0.848271369934082
44
+ ],
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+ "width": 0.7188769578933716,
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+ "length": 0.4233589172363281,
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+ "height": 0.7531833648681641
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+ },
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+ "scene_id": "0282_txt_5f24cf097766",
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+ "layout_path": null,
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+ "image_path_a": "question_image_33_a.jpg",
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+ "image_path_b": "question_image_33_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_34.json ADDED
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1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Using the red bbox of shelf in the first image as reference, find its location in the second image.\nA. [91, 141, 224, 320]\nB. [439, 220, 696, 661]\nC. [452, 613, 489, 667]\nD. [841, 479, 999, 560]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [91, 141, 224, 320]",
6
+ "B. [439, 220, 696, 661]",
7
+ "C. [452, 613, 489, 667]",
8
+ "D. [841, 479, 999, 560]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_034",
13
+ "position": [
14
+ 0.2892307548131494,
15
+ -1.639935628320116,
16
+ -0.5941425169929975
17
+ ],
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20
+ 0.9197090242871382,
21
+ -0.7048359475110595
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_030",
26
+ "position": [
27
+ -0.3939310763509958,
28
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29
+ -0.5984148013640329
30
+ ],
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+ "look_at": [
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+ 0.9243387369669609,
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+ -0.6530284025262513
35
+ ]
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+ },
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+ "object": {
38
+ "label": "shelf",
39
+ "id": "shelf_1",
40
+ "centroid": [
41
+ 0.7850164175033569,
42
+ 0.9955302476882935,
43
+ -1.2034913301467896
44
+ ],
45
+ "width": 0.7651857137680054,
46
+ "length": 0.9988282918930054,
47
+ "height": 0.07700228691101074
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+ },
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+ "scene_id": "0282_txt_5f24cf097766",
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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
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_35.json ADDED
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1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Based on the red bbox of door in the first image, locate its bounding box in the second image. Pick the appropriate answer from the options given.\nA. [26, 407, 319, 888]\nB. [163, 828, 316, 942]\nC. [477, 352, 514, 662]\nD. [0, 210, 358, 998]\nYour answer can only include one of the options A, B, C, or D.",
4
+ "choices": [
5
+ "A. [26, 407, 319, 888]",
6
+ "B. [163, 828, 316, 942]",
7
+ "C. [477, 352, 514, 662]",
8
+ "D. [0, 210, 358, 998]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "view_009",
13
+ "position": [
14
+ -0.0,
15
+ -0.0,
16
+ 0.0
17
+ ],
18
+ "look_at": [
19
+ -9.659257888793945,
20
+ 1.774377005765162e-15,
21
+ -2.5881905555725098
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_026",
26
+ "position": [
27
+ 0.0586570192115204,
28
+ -0.5977959070993242,
29
+ -0.4480711584037036
30
+ ],
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+ "look_at": [
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+ -2.826462815158452,
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+ -0.7050781904371254,
34
+ -1.45614689838737
35
+ ]
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+ },
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+ "object": {
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+ "label": "door",
39
+ "id": "door_1",
40
+ "centroid": [
41
+ -2.718203067779541,
42
+ -0.7073046565055847,
43
+ -1.544970691204071
44
+ ],
45
+ "width": 0.2569873332977295,
46
+ "length": 0.14591312408447266,
47
+ "height": 1.030175805091858
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+ },
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+ "scene_id": "0282_txt_5f24cf097766",
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+ "layout_path": null,
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+ "image_path_a": "question_image_35_a.jpg",
52
+ "image_path_b": "question_image_35_b.jpg"
53
+ }
0282_txt_5f24cf097766/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 book in the first image as reference, find its location in the second image.\nA. [344, 514, 979, 711]\nB. [267, 0, 999, 998]\nC. [340, 234, 627, 611]\nD. [364, 773, 851, 998]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [344, 514, 979, 711]",
6
+ "B. [267, 0, 999, 998]",
7
+ "C. [340, 234, 627, 611]",
8
+ "D. [364, 773, 851, 998]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "view_006",
13
+ "position": [
14
+ -0.0,
15
+ -0.0,
16
+ 0.0
17
+ ],
18
+ "look_at": [
19
+ 1.1829179332573624e-15,
20
+ 9.659257888793945,
21
+ -2.5881905555725098
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "view_005",
26
+ "position": [
27
+ -0.0,
28
+ -0.0,
29
+ 0.0
30
+ ],
31
+ "look_at": [
32
+ 4.829628944396973,
33
+ 8.36516284942627,
34
+ -2.5881905555725098
35
+ ]
36
+ },
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+ "object": {
38
+ "label": "book",
39
+ "id": "book_0",
40
+ "centroid": [
41
+ 0.5578253865242004,
42
+ 0.971293568611145,
43
+ -0.18778564408421516
44
+ ],
45
+ "width": 0.55029296875,
46
+ "length": 0.3681640625,
47
+ "height": 0.47208496183156967
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_36_a.jpg",
52
+ "image_path_b": "question_image_36_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_37.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Using the red bbox of door in the first image as reference, find its location in the second image.\nA. [340, 0, 612, 150]\nB. [0, 0, 999, 998]\nC. [630, 553, 644, 705]\nD. [396, 533, 598, 675]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [340, 0, 612, 150]",
6
+ "B. [0, 0, 999, 998]",
7
+ "C. [630, 553, 644, 705]",
8
+ "D. [396, 533, 598, 675]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_038",
13
+ "position": [
14
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15
+ -1.6001395147863877,
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+ -0.3751903166543564
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+ ]
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+ },
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+ "camera_b": {
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+ "name": "rand_036",
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+ "position": [
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+ -0.5480425751195681
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+ -1.584714740092056,
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+ -0.695326408721753
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+ ]
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+ },
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+ "object": {
38
+ "label": "door",
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+ "id": "door_1",
40
+ "centroid": [
41
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42
+ -0.7073046565055847,
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+ ],
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+ "width": 0.2569873332977295,
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+ "length": 0.14591312408447266,
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+ "height": 1.030175805091858
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+ },
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+ "scene_id": "0282_txt_5f24cf097766",
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+ "layout_path": null,
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+ "image_path_a": "question_image_37_a.jpg",
52
+ "image_path_b": "question_image_37_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_38.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Using the red bbox of shelf in the first image as reference, find its location in the second image.\nA. [532, 435, 877, 552]\nB. [541, 642, 758, 998]\nC. [0, 352, 250, 424]\nD. [462, 516, 857, 572]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [532, 435, 877, 552]",
6
+ "B. [541, 642, 758, 998]",
7
+ "C. [0, 352, 250, 424]",
8
+ "D. [462, 516, 857, 572]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_059",
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+ "position": [
14
+ 0.152053127074168,
15
+ 0.19899393282152633,
16
+ -0.40021912210131094
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+ ],
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+ 0.8558723225380298,
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+ 0.668884670189312,
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+ -0.5024155129798418
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+ ]
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+ },
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+ "camera_b": {
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+ "name": "rand_005",
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+ "position": [
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28
+ -1.0056416387820897,
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+ ]
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+ },
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+ "object": {
38
+ "label": "shelf",
39
+ "id": "shelf_0",
40
+ "centroid": [
41
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42
+ 0.6699343919754028,
43
+ -0.450439453125
44
+ ],
45
+ "width": 0.9180469512939453,
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+ "length": 0.7822461128234863,
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+ "height": 0.0673828125
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+ },
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+ "scene_id": "0282_txt_5f24cf097766",
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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
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_39.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Find the matching bounding box for shelf (red bbox in image 1) in the second image.\nA. [191, 426, 439, 998]\nB. [253, 673, 407, 760]\nC. [187, 173, 445, 268]\nD. [236, 596, 415, 919]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [191, 426, 439, 998]",
6
+ "B. [253, 673, 407, 760]",
7
+ "C. [187, 173, 445, 268]",
8
+ "D. [236, 596, 415, 919]"
9
+ ],
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+ "answer": "B",
11
+ "camera_a": {
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+ "name": "rand_026",
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+ "position": [
14
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15
+ -0.5977959070993242,
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+ -0.4480711584037036
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+ ],
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+ "look_at": [
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20
+ -0.7050781904371254,
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+ -1.45614689838737
22
+ ]
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+ },
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+ "camera_b": {
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+ "name": "view_010",
26
+ "position": [
27
+ -0.0,
28
+ -0.0,
29
+ 0.0
30
+ ],
31
+ "look_at": [
32
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33
+ -4.829628944396973,
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+ -2.5881905555725098
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+ ]
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+ },
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+ "object": {
38
+ "label": "shelf",
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+ "id": "shelf_3",
40
+ "centroid": [
41
+ -1.4163073301315308,
42
+ -1.4441076517105103,
43
+ -1.193906307220459
44
+ ],
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+ "width": 0.4203125238418579,
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+ "length": 0.5548830032348633,
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+ "height": 0.23685550689697266
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+ },
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+ "scene_id": "0282_txt_5f24cf097766",
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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
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_4.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "In the first image, bookshelf is bounded by a red box. Which bounding box in the second image shows the same object?\nA. [459, 447, 518, 535]\nB. [476, 885, 601, 956]\nC. [455, 533, 616, 899]\nD. [408, 389, 649, 998]\nChoose A, B, C, or D.",
4
+ "choices": [
5
+ "A. [459, 447, 518, 535]",
6
+ "B. [476, 885, 601, 956]",
7
+ "C. [455, 533, 616, 899]",
8
+ "D. [408, 389, 649, 998]"
9
+ ],
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+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_053",
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+ "position": [
14
+ -0.17031247942371486,
15
+ -1.1516387944022073,
16
+ -0.42893149037365297
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+ ],
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+ "look_at": [
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20
+ -1.60261706904768,
21
+ -0.6943843529564874
22
+ ]
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+ },
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+ "camera_b": {
25
+ "name": "rand_004",
26
+ "position": [
27
+ 0.5209717432783897,
28
+ -0.584680765356677,
29
+ -0.6219805286121627
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+ ],
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+ "look_at": [
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+ -1.602286131404169,
34
+ -0.7058058638526336
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+ ]
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+ },
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+ "object": {
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+ "label": "bookshelf",
39
+ "id": "bookshelf_0",
40
+ "centroid": [
41
+ -1.295317530632019,
42
+ -1.501181960105896,
43
+ -1.2166235446929932
44
+ ],
45
+ "width": 0.5412988662719727,
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+ "length": 0.722900390625,
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+ "height": 1.5699658393859863
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+ },
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+ "scene_id": "0282_txt_5f24cf097766",
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+ "layout_path": null,
51
+ "image_path_a": "question_image_4_a.jpg",
52
+ "image_path_b": "question_image_4_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_40.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The shelf 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. [525, 299, 743, 322]\nB. [58, 405, 324, 508]\nC. [0, 0, 197, 195]\nD. [10, 190, 309, 236]\nAnswer with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [525, 299, 743, 322]",
6
+ "B. [58, 405, 324, 508]",
7
+ "C. [0, 0, 197, 195]",
8
+ "D. [10, 190, 309, 236]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "view_003",
13
+ "position": [
14
+ -0.0,
15
+ -0.0,
16
+ 0.0
17
+ ],
18
+ "look_at": [
19
+ 9.659257888793945,
20
+ -5.914589666286812e-16,
21
+ -2.5881905555725098
22
+ ]
23
+ },
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+ "camera_b": {
25
+ "name": "rand_031",
26
+ "position": [
27
+ -0.6139605811178903,
28
+ -1.6728597798405962,
29
+ -0.5806302082354846
30
+ ],
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+ "look_at": [
32
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33
+ -1.274155399682166,
34
+ -0.8124716461443247
35
+ ]
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+ },
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+ "object": {
38
+ "label": "shelf",
39
+ "id": "shelf_0",
40
+ "centroid": [
41
+ 0.8513299226760864,
42
+ 0.6699343919754028,
43
+ -0.450439453125
44
+ ],
45
+ "width": 0.9180469512939453,
46
+ "length": 0.7822461128234863,
47
+ "height": 0.0673828125
48
+ },
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+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_40_a.jpg",
52
+ "image_path_b": "question_image_40_b.jpg"
53
+ }
0282_txt_5f24cf097766/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 bookshelf (red bbox) from the first image.\nA. [478, 564, 917, 622]\nB. [0, 447, 266, 496]\nC. [0, 727, 271, 818]\nD. [0, 78, 307, 757]\nYour answer should be A, B, C, or D.",
4
+ "choices": [
5
+ "A. [478, 564, 917, 622]",
6
+ "B. [0, 447, 266, 496]",
7
+ "C. [0, 727, 271, 818]",
8
+ "D. [0, 78, 307, 757]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_000",
13
+ "position": [
14
+ -0.22073279454634914,
15
+ -1.0732568180859692,
16
+ -0.7720992943058702
17
+ ],
18
+ "look_at": [
19
+ 0.9828336106539269,
20
+ 0.9414740324724695,
21
+ -0.8446078541198585
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_032",
26
+ "position": [
27
+ -0.3863153093049296,
28
+ -0.9827817273199952,
29
+ -0.416981712999966
30
+ ],
31
+ "look_at": [
32
+ 2.458042100051461,
33
+ 0.11658483494946248,
34
+ -0.6082627848642131
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "bookshelf",
39
+ "id": "bookshelf_1",
40
+ "centroid": [
41
+ 1.0016216039657593,
42
+ 0.9185864925384521,
43
+ -0.41007089614868164
44
+ ],
45
+ "width": 1.248291015625,
46
+ "length": 1.283203125,
47
+ "height": 1.5257081985473633
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_41_a.jpg",
52
+ "image_path_b": "question_image_41_b.jpg"
53
+ }
0282_txt_5f24cf097766/tasks/019_object_matching_mv/question_42.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Find the matching bounding box for storage bin (red bbox in image 1) in the second image.\nA. [24, 15, 266, 318]\nB. [510, 422, 736, 998]\nC. [0, 0, 999, 998]\nD. [533, 579, 696, 919]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [24, 15, 266, 318]",
6
+ "B. [510, 422, 736, 998]",
7
+ "C. [0, 0, 999, 998]",
8
+ "D. [533, 579, 696, 919]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_058",
13
+ "position": [
14
+ 0.6830690777702532,
15
+ -0.8328594973057198,
16
+ -0.3928891491143447
17
+ ],
18
+ "look_at": [
19
+ -1.3120272692827581,
20
+ -1.6122402330693215,
21
+ -0.6941324106330791
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "view_011",
26
+ "position": [
27
+ -0.0,
28
+ -0.0,
29
+ 0.0
30
+ ],
31
+ "look_at": [
32
+ -4.829628944396973,
33
+ -8.36516284942627,
34
+ -2.5881905555725098
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "storage bin",
39
+ "id": "storage bin_0",
40
+ "centroid": [
41
+ -1.3545222282409668,
42
+ -1.4919536113739014,
43
+ -1.278779298067093
44
+ ],
45
+ "width": 0.38525390625,
46
+ "length": 0.543818473815918,
47
+ "height": 0.9356054663658142
48
+ },
49
+ "scene_id": "0282_txt_5f24cf097766",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_42_a.jpg",
52
+ "image_path_b": "question_image_42_b.jpg"
53
+ }