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  1. 0230_txt_627e32bc2b24/tasks/004_relative_direction/question_0.json +53 -0
  2. 0230_txt_627e32bc2b24/tasks/004_relative_direction/question_1.json +53 -0
  3. 0230_txt_627e32bc2b24/tasks/004_relative_direction/question_10.json +53 -0
  4. 0230_txt_627e32bc2b24/tasks/004_relative_direction/question_11.json +53 -0
  5. 0230_txt_627e32bc2b24/tasks/004_relative_direction/question_12.json +53 -0
  6. 0230_txt_627e32bc2b24/tasks/004_relative_direction/question_13.json +53 -0
  7. 0230_txt_627e32bc2b24/tasks/004_relative_direction/question_14.json +53 -0
  8. 0230_txt_627e32bc2b24/tasks/004_relative_direction/question_2.json +53 -0
  9. 0230_txt_627e32bc2b24/tasks/004_relative_direction/question_3.json +53 -0
  10. 0230_txt_627e32bc2b24/tasks/004_relative_direction/question_4.json +53 -0
  11. 0230_txt_627e32bc2b24/tasks/004_relative_direction/question_5.json +53 -0
  12. 0230_txt_627e32bc2b24/tasks/004_relative_direction/question_6.json +53 -0
  13. 0230_txt_627e32bc2b24/tasks/004_relative_direction/question_7.json +53 -0
  14. 0230_txt_627e32bc2b24/tasks/004_relative_direction/question_8.json +53 -0
  15. 0230_txt_627e32bc2b24/tasks/004_relative_direction/question_9.json +53 -0
  16. 0230_txt_627e32bc2b24/tasks/018_spatial_compatibility/question_49.json +36 -0
  17. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_0.json +53 -0
  18. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_1.json +53 -0
  19. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_10.json +53 -0
  20. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_11.json +53 -0
  21. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_12.json +53 -0
  22. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_13.json +53 -0
  23. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_14.json +53 -0
  24. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_15.json +53 -0
  25. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_16.json +53 -0
  26. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_17.json +53 -0
  27. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_18.json +53 -0
  28. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_19.json +53 -0
  29. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_2.json +53 -0
  30. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_20.json +53 -0
  31. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_21.json +53 -0
  32. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_22.json +53 -0
  33. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_23.json +53 -0
  34. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_24.json +53 -0
  35. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_25.json +53 -0
  36. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_26.json +53 -0
  37. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_27.json +53 -0
  38. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_28.json +53 -0
  39. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_29.json +53 -0
  40. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_3.json +53 -0
  41. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_30.json +53 -0
  42. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_31.json +53 -0
  43. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_32.json +53 -0
  44. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_33.json +53 -0
  45. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_34.json +53 -0
  46. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_35.json +53 -0
  47. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_36.json +53 -0
  48. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_37.json +53 -0
  49. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_38.json +53 -0
  50. 0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_39.json +53 -0
0230_txt_627e32bc2b24/tasks/004_relative_direction/question_0.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "How would you describe the position of smartphone (blue bbox) with respect to mouse (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, ",
7
+ "C. left, , ",
8
+ "D. , , closer"
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "view_010",
12
+ "camera_position": [
13
+ -0.0,
14
+ -0.0,
15
+ 0.0
16
+ ],
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+ "camera_look_at": [
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+ -8.36516284942627,
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+ -4.829628944396973,
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+ -2.5881905555725098
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+ ],
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+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "smartphone",
25
+ "id": "smartphone_0",
26
+ "centroid": [
27
+ -0.5381808876991272,
28
+ -0.6560155749320984,
29
+ -0.5191650390625
30
+ ],
31
+ "distance_to_camera": 0.9947499385387663,
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+ "width": 0.17629408836364746,
33
+ "length": 0.2314453125,
34
+ "height": 0.019287109375
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+ },
36
+ "red": {
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+ "circle_color": "red",
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+ "label": "mouse",
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+ "id": "mouse_0",
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+ "centroid": [
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+ -0.5875087380409241,
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+ -0.4252133369445801,
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+ -0.50537109375
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+ ],
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+ "distance_to_camera": 0.8839529634477479,
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+ "width": 0.16162109375,
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+ "length": 0.20556640625,
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+ "height": 0.0537109375
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+ },
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+ "scene_id": "0230_txt_627e32bc2b24",
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+ "layout_path": null,
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+ "image_path": "question_image_0.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/004_relative_direction/question_1.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "Where is office chair (blue bbox) positioned relative to trash can (red bbox) from the camera's perspective? Calculate or judge based on the 3D center points of these objects. Choose the correct answer.",
4
+ "choices": [
5
+ "A. right, below, ",
6
+ "B. left, above, closer",
7
+ "C. left, , farther",
8
+ "D. left, below, closer"
9
+ ],
10
+ "answer": "B",
11
+ "camera_name": "view_007",
12
+ "camera_position": [
13
+ -0.0,
14
+ -0.0,
15
+ 0.0
16
+ ],
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+ "camera_look_at": [
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+ -4.829628944396973,
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+ 8.36516284942627,
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+ -2.5881905555725098
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+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "office chair",
25
+ "id": "office chair_0",
26
+ "centroid": [
27
+ -1.8580830097198486,
28
+ 0.6492599248886108,
29
+ -0.01240721344947815
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+ ],
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+ "distance_to_camera": 1.9682898313057242,
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+ "width": 1.0452537536621094,
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+ "length": 1.112548828125,
34
+ "height": 1.3653222918510437
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "trash can",
39
+ "id": "trash can_0",
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+ "centroid": [
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+ 0.602615475654602,
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+ 2.678270101547241,
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+ -0.927490234375
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+ ],
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+ "distance_to_camera": 2.8976739435625403,
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+ "width": 0.4773925542831421,
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+ "length": 1.6102783679962158,
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+ "height": 1.357421875
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+ },
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+ "scene_id": "0230_txt_627e32bc2b24",
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+ "layout_path": null,
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+ "image_path": "question_image_1.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/004_relative_direction/question_10.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "Relative to paper (red bbox), where does paper (blue bbox) appear from the observer's view? Calculate or judge based on the 3D center points of these objects. Select the appropriate choice.",
4
+ "choices": [
5
+ "A. left, , ",
6
+ "B. left, above, closer",
7
+ "C. left, below, farther",
8
+ "D. left, , farther"
9
+ ],
10
+ "answer": "D",
11
+ "camera_name": "rand_001",
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+ "camera_position": [
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+ -0.866750852255619,
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+ 0.32222831938433116,
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+ -0.037518925155665794
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+ ],
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+ "camera_look_at": [
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+ -0.6140034529546265,
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+ -0.35621591425976074,
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+ -0.48481109074418594
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+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "paper",
25
+ "id": "paper_1",
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+ "centroid": [
27
+ 0.9608377814292908,
28
+ -0.9075831770896912,
29
+ -0.5218408107757568
30
+ ],
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+ "distance_to_camera": 2.2554565435238496,
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+ "width": 0.495849609375,
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+ "length": 0.44968748092651367,
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+ "height": 0.019755840301513672
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+ },
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+ "red": {
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+ "circle_color": "red",
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+ "label": "paper",
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+ "id": "paper_0",
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+ "centroid": [
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+ -0.17892341315746307,
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+ -1.1868985891342163,
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+ -0.515380859375
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+ ],
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+ "distance_to_camera": 1.7259555730571163,
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+ "width": 0.5126953125,
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+ "length": 0.46728515625,
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+ "height": 0.03662109375
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+ },
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+ "scene_id": "0230_txt_627e32bc2b24",
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+ "layout_path": null,
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+ "image_path": "question_image_10.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/004_relative_direction/question_11.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "How would you describe the position of office chair (blue bbox) with respect to office chair (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. , below, farther",
7
+ "C. right, below, closer",
8
+ "D. left, above, farther"
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "view_008",
12
+ "camera_position": [
13
+ -0.0,
14
+ -0.0,
15
+ 0.0
16
+ ],
17
+ "camera_look_at": [
18
+ -8.36516284942627,
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+ 4.829628944396973,
20
+ -2.5881905555725098
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+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "office chair",
25
+ "id": "office chair_2",
26
+ "centroid": [
27
+ -1.5458787679672241,
28
+ 0.8812426328659058,
29
+ -1.384960949420929
30
+ ],
31
+ "distance_to_camera": 2.254871742395389,
32
+ "width": 0.740234375,
33
+ "length": 0.6649903655052185,
34
+ "height": 0.4493163824081421
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "office chair",
39
+ "id": "office chair_0",
40
+ "centroid": [
41
+ -1.8580830097198486,
42
+ 0.6492599248886108,
43
+ -0.01240721344947815
44
+ ],
45
+ "distance_to_camera": 1.9682898313057242,
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+ "width": 1.0452537536621094,
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+ "length": 1.112548828125,
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+ "height": 1.3653222918510437
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+ },
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+ "scene_id": "0230_txt_627e32bc2b24",
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+ "layout_path": null,
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+ "image_path": "question_image_11.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/004_relative_direction/question_12.json ADDED
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1
+ {
2
+ "type": "relative_direction",
3
+ "question": "From the observer's point of view, how is paper (blue bbox) situated in relation to banana (red bbox)? Calculate or judge based on the 3D center points of these objects. Pick the right option.",
4
+ "choices": [
5
+ "A. right, , closer",
6
+ "B. right, above, farther",
7
+ "C. left, below, ",
8
+ "D. left, above, farther"
9
+ ],
10
+ "answer": "A",
11
+ "camera_name": "rand_015",
12
+ "camera_position": [
13
+ -0.4449784041484705,
14
+ 0.3240832772086865,
15
+ -0.2623761230152417
16
+ ],
17
+ "camera_look_at": [
18
+ 0.057863747053193415,
19
+ -0.8659484994565095,
20
+ -0.5378509232450138
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "paper",
25
+ "id": "paper_1",
26
+ "centroid": [
27
+ 0.9608377814292908,
28
+ -0.9075831770896912,
29
+ -0.5218408107757568
30
+ ],
31
+ "distance_to_camera": 1.8869666998839714,
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+ "width": 0.495849609375,
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+ "length": 0.44968748092651367,
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+ "height": 0.019755840301513672
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+ },
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+ "red": {
37
+ "circle_color": "red",
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+ "label": "banana",
39
+ "id": "banana_0",
40
+ "centroid": [
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+ 1.3654087781906128,
42
+ -0.9398716688156128,
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+ -0.48182128369808197
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+ ],
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+ "distance_to_camera": 2.218837541169712,
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+ "width": 0.19013667106628418,
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+ "length": 0.15857428312301636,
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+ "height": 0.07297852635383606
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+ },
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+ "scene_id": "0230_txt_627e32bc2b24",
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+ "layout_path": null,
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+ "image_path": "question_image_12.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/004_relative_direction/question_13.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "Where is banana (blue bbox) positioned relative to paper (red bbox) from the camera's perspective? Calculate or judge based on the 3D center points of these objects. Choose the correct answer.",
4
+ "choices": [
5
+ "A. left, , farther",
6
+ "B. left, below, farther",
7
+ "C. , , closer",
8
+ "D. , , "
9
+ ],
10
+ "answer": "A",
11
+ "camera_name": "rand_001",
12
+ "camera_position": [
13
+ -0.866750852255619,
14
+ 0.32222831938433116,
15
+ -0.037518925155665794
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+ ],
17
+ "camera_look_at": [
18
+ -0.6140034529546265,
19
+ -0.35621591425976074,
20
+ -0.48481109074418594
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "banana",
25
+ "id": "banana_0",
26
+ "centroid": [
27
+ 1.3654087781906128,
28
+ -0.9398716688156128,
29
+ -0.48182128369808197
30
+ ],
31
+ "distance_to_camera": 2.6024675947674183,
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+ "width": 0.19013667106628418,
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+ "length": 0.15857428312301636,
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+ "height": 0.07297852635383606
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+ },
36
+ "red": {
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+ "circle_color": "red",
38
+ "label": "paper",
39
+ "id": "paper_1",
40
+ "centroid": [
41
+ 0.9608377814292908,
42
+ -0.9075831770896912,
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+ -0.5218408107757568
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+ ],
45
+ "distance_to_camera": 2.2554565435238496,
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+ "width": 0.495849609375,
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+ "length": 0.44968748092651367,
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+ "height": 0.019755840301513672
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+ },
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+ "scene_id": "0230_txt_627e32bc2b24",
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+ "layout_path": null,
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+ "image_path": "question_image_13.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/004_relative_direction/question_14.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "From the viewer's perspective, in which direction is office chair (blue bbox) located relative to office chair (red bbox)? Calculate or judge based on the 3D center points of these objects. Choose the right answer.",
4
+ "choices": [
5
+ "A. right, above, closer",
6
+ "B. right, above, farther",
7
+ "C. left, above, farther",
8
+ "D. , , farther"
9
+ ],
10
+ "answer": "C",
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,
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+ 1.774377005765162e-15,
20
+ -2.5881905555725098
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "office chair",
25
+ "id": "office chair_0",
26
+ "centroid": [
27
+ -1.8580830097198486,
28
+ 0.6492599248886108,
29
+ -0.01240721344947815
30
+ ],
31
+ "distance_to_camera": 1.9682898313057242,
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+ "width": 1.0452537536621094,
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+ "length": 1.112548828125,
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+ "height": 1.3653222918510437
35
+ },
36
+ "red": {
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+ "circle_color": "red",
38
+ "label": "office chair",
39
+ "id": "office chair_2",
40
+ "centroid": [
41
+ -1.5458787679672241,
42
+ 0.8812426328659058,
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+ -1.384960949420929
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+ ],
45
+ "distance_to_camera": 2.254871742395389,
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+ "width": 0.740234375,
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+ "length": 0.6649903655052185,
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+ "height": 0.4493163824081421
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+ },
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+ "scene_id": "0230_txt_627e32bc2b24",
51
+ "layout_path": null,
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+ "image_path": "question_image_14.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/004_relative_direction/question_2.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "Where is keyboard (blue bbox) positioned relative to smartphone (red bbox) from the camera's perspective? Calculate or judge based on the 3D center points of these objects. Choose the correct answer.",
4
+ "choices": [
5
+ "A. , above, ",
6
+ "B. left, , ",
7
+ "C. right, below, ",
8
+ "D. left, , farther"
9
+ ],
10
+ "answer": "D",
11
+ "camera_name": "rand_001",
12
+ "camera_position": [
13
+ -0.866750852255619,
14
+ 0.32222831938433116,
15
+ -0.037518925155665794
16
+ ],
17
+ "camera_look_at": [
18
+ -0.6140034529546265,
19
+ -0.35621591425976074,
20
+ -0.48481109074418594
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "keyboard",
25
+ "id": "keyboard_0",
26
+ "centroid": [
27
+ 0.019246801733970642,
28
+ -0.8202064633369446,
29
+ -0.505615234375
30
+ ],
31
+ "distance_to_camera": 1.5196260166077795,
32
+ "width": 0.947509765625,
33
+ "length": 0.574951171875,
34
+ "height": 0.03564453125
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "smartphone",
39
+ "id": "smartphone_0",
40
+ "centroid": [
41
+ -0.5381808876991272,
42
+ -0.6560155749320984,
43
+ -0.5191650390625
44
+ ],
45
+ "distance_to_camera": 1.1388161912343815,
46
+ "width": 0.17629408836364746,
47
+ "length": 0.2314453125,
48
+ "height": 0.019287109375
49
+ },
50
+ "scene_id": "0230_txt_627e32bc2b24",
51
+ "layout_path": null,
52
+ "image_path": "question_image_2.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/004_relative_direction/question_3.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "Describe the spatial relationship of smartphone (blue bbox) relative to paper (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, closer",
6
+ "B. right, below, closer",
7
+ "C. right, , closer",
8
+ "D. , below, "
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "rand_003",
12
+ "camera_position": [
13
+ 0.16486919543272283,
14
+ -0.07579088978392923,
15
+ -0.3338448848742215
16
+ ],
17
+ "camera_look_at": [
18
+ -0.14564680980974637,
19
+ -1.2363261445710994,
20
+ -0.49702493633780226
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "smartphone",
25
+ "id": "smartphone_0",
26
+ "centroid": [
27
+ -0.5381808876991272,
28
+ -0.6560155749320984,
29
+ -0.5191650390625
30
+ ],
31
+ "distance_to_camera": 0.9302062482027094,
32
+ "width": 0.17629408836364746,
33
+ "length": 0.2314453125,
34
+ "height": 0.019287109375
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "paper",
39
+ "id": "paper_0",
40
+ "centroid": [
41
+ -0.17892341315746307,
42
+ -1.1868985891342163,
43
+ -0.515380859375
44
+ ],
45
+ "distance_to_camera": 1.1771614109011048,
46
+ "width": 0.5126953125,
47
+ "length": 0.46728515625,
48
+ "height": 0.03662109375
49
+ },
50
+ "scene_id": "0230_txt_627e32bc2b24",
51
+ "layout_path": null,
52
+ "image_path": "question_image_3.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/004_relative_direction/question_4.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "From the observer's point of view, how is desk (blue bbox) situated in relation to paper (red bbox)? Calculate or judge based on the 3D center points of these objects. Pick the right option.",
4
+ "choices": [
5
+ "A. left, , farther",
6
+ "B. right, above, farther",
7
+ "C. right, below, ",
8
+ "D. left, below, closer"
9
+ ],
10
+ "answer": "A",
11
+ "camera_name": "rand_025",
12
+ "camera_position": [
13
+ -0.2819344684085311,
14
+ -0.14878458058089847,
15
+ -0.1416163165876858
16
+ ],
17
+ "camera_look_at": [
18
+ 0.09562468627505682,
19
+ -0.8553787608278955,
20
+ -0.4970660152967508
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "desk",
25
+ "id": "desk_1",
26
+ "centroid": [
27
+ 0.16535089910030365,
28
+ -1.3192274570465088,
29
+ -0.5304223895072937
30
+ ],
31
+ "distance_to_camera": 1.3119340263122123,
32
+ "width": 0.22767579555511475,
33
+ "length": 0.5509181022644043,
34
+ "height": 0.041098713874816895
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "paper",
39
+ "id": "paper_0",
40
+ "centroid": [
41
+ -0.17892341315746307,
42
+ -1.1868985891342163,
43
+ -0.515380859375
44
+ ],
45
+ "distance_to_camera": 1.1081479620084975,
46
+ "width": 0.5126953125,
47
+ "length": 0.46728515625,
48
+ "height": 0.03662109375
49
+ },
50
+ "scene_id": "0230_txt_627e32bc2b24",
51
+ "layout_path": null,
52
+ "image_path": "question_image_4.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/004_relative_direction/question_5.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "Looking at the image, what is the spatial position of banana (blue bbox) compared to paper (red bbox)? Calculate or judge based on the 3D center points of these objects. Select one option.",
4
+ "choices": [
5
+ "A. , below, farther",
6
+ "B. left, , farther",
7
+ "C. right, below, ",
8
+ "D. left, below, "
9
+ ],
10
+ "answer": "B",
11
+ "camera_name": "rand_025",
12
+ "camera_position": [
13
+ -0.2819344684085311,
14
+ -0.14878458058089847,
15
+ -0.1416163165876858
16
+ ],
17
+ "camera_look_at": [
18
+ 0.09562468627505682,
19
+ -0.8553787608278955,
20
+ -0.4970660152967508
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "banana",
25
+ "id": "banana_0",
26
+ "centroid": [
27
+ 1.3654087781906128,
28
+ -0.9398716688156128,
29
+ -0.48182128369808197
30
+ ],
31
+ "distance_to_camera": 1.8588431813722406,
32
+ "width": 0.19013667106628418,
33
+ "length": 0.15857428312301636,
34
+ "height": 0.07297852635383606
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "paper",
39
+ "id": "paper_0",
40
+ "centroid": [
41
+ -0.17892341315746307,
42
+ -1.1868985891342163,
43
+ -0.515380859375
44
+ ],
45
+ "distance_to_camera": 1.1081479620084975,
46
+ "width": 0.5126953125,
47
+ "length": 0.46728515625,
48
+ "height": 0.03662109375
49
+ },
50
+ "scene_id": "0230_txt_627e32bc2b24",
51
+ "layout_path": null,
52
+ "image_path": "question_image_5.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/004_relative_direction/question_6.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "In the provided image, describe the location of the mouse (blue bbox) with respect to the smartphone (red bbox), considering the observer's viewpoint. Calculate or judge based on the 3D center points of these objects. Select the correct response from the given choices.",
4
+ "choices": [
5
+ "A. left, above, closer",
6
+ "B. right, , ",
7
+ "C. , below, closer",
8
+ "D. , below, "
9
+ ],
10
+ "answer": "B",
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
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "mouse",
25
+ "id": "mouse_0",
26
+ "centroid": [
27
+ -0.5875087380409241,
28
+ -0.4252133369445801,
29
+ -0.50537109375
30
+ ],
31
+ "distance_to_camera": 0.8839529634477479,
32
+ "width": 0.16162109375,
33
+ "length": 0.20556640625,
34
+ "height": 0.0537109375
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "smartphone",
39
+ "id": "smartphone_0",
40
+ "centroid": [
41
+ -0.5381808876991272,
42
+ -0.6560155749320984,
43
+ -0.5191650390625
44
+ ],
45
+ "distance_to_camera": 0.9947499385387663,
46
+ "width": 0.17629408836364746,
47
+ "length": 0.2314453125,
48
+ "height": 0.019287109375
49
+ },
50
+ "scene_id": "0230_txt_627e32bc2b24",
51
+ "layout_path": null,
52
+ "image_path": "question_image_6.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/004_relative_direction/question_7.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "Describe the spatial relationship of keyboard (blue bbox) relative to desk (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. right, below, closer",
6
+ "B. right, , closer",
7
+ "C. left, above, closer",
8
+ "D. right, above, "
9
+ ],
10
+ "answer": "B",
11
+ "camera_name": "view_011",
12
+ "camera_position": [
13
+ -0.0,
14
+ -0.0,
15
+ 0.0
16
+ ],
17
+ "camera_look_at": [
18
+ -4.829628944396973,
19
+ -8.36516284942627,
20
+ -2.5881905555725098
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "keyboard",
25
+ "id": "keyboard_0",
26
+ "centroid": [
27
+ 0.019246801733970642,
28
+ -0.8202064633369446,
29
+ -0.505615234375
30
+ ],
31
+ "distance_to_camera": 0.9637197969891308,
32
+ "width": 0.947509765625,
33
+ "length": 0.574951171875,
34
+ "height": 0.03564453125
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "desk",
39
+ "id": "desk_1",
40
+ "centroid": [
41
+ 0.16535089910030365,
42
+ -1.3192274570465088,
43
+ -0.5304223895072937
44
+ ],
45
+ "distance_to_camera": 1.4314502836456822,
46
+ "width": 0.22767579555511475,
47
+ "length": 0.5509181022644043,
48
+ "height": 0.041098713874816895
49
+ },
50
+ "scene_id": "0230_txt_627e32bc2b24",
51
+ "layout_path": null,
52
+ "image_path": "question_image_7.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/004_relative_direction/question_8.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "From the viewer's perspective, in which direction is keyboard (blue bbox) located relative to paper (red bbox)? Calculate or judge based on the 3D center points of these objects. Choose the right answer.",
4
+ "choices": [
5
+ "A. left, above, farther",
6
+ "B. left, , closer",
7
+ "C. , above, closer",
8
+ "D. left, above, closer"
9
+ ],
10
+ "answer": "B",
11
+ "camera_name": "rand_014",
12
+ "camera_position": [
13
+ -0.14040513750793415,
14
+ -0.028863293543178514,
15
+ -0.31646060193286085
16
+ ],
17
+ "camera_look_at": [
18
+ -0.2142382186576928,
19
+ -1.187431521646765,
20
+ -0.48456436105191447
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "keyboard",
25
+ "id": "keyboard_0",
26
+ "centroid": [
27
+ 0.019246801733970642,
28
+ -0.8202064633369446,
29
+ -0.505615234375
30
+ ],
31
+ "distance_to_camera": 0.8291515115208239,
32
+ "width": 0.947509765625,
33
+ "length": 0.574951171875,
34
+ "height": 0.03564453125
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "paper",
39
+ "id": "paper_0",
40
+ "centroid": [
41
+ -0.17892341315746307,
42
+ -1.1868985891342163,
43
+ -0.515380859375
44
+ ],
45
+ "distance_to_camera": 1.1756269273092048,
46
+ "width": 0.5126953125,
47
+ "length": 0.46728515625,
48
+ "height": 0.03662109375
49
+ },
50
+ "scene_id": "0230_txt_627e32bc2b24",
51
+ "layout_path": null,
52
+ "image_path": "question_image_8.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/004_relative_direction/question_9.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "How would you describe the position of paper (blue bbox) with respect to office chair (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, farther",
6
+ "B. right, , farther",
7
+ "C. right, above, ",
8
+ "D. left, below, farther"
9
+ ],
10
+ "answer": "B",
11
+ "camera_name": "view_002",
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": "paper",
25
+ "id": "paper_1",
26
+ "centroid": [
27
+ 0.9608377814292908,
28
+ -0.9075831770896912,
29
+ -0.5218408107757568
30
+ ],
31
+ "distance_to_camera": 1.420997641570625,
32
+ "width": 0.495849609375,
33
+ "length": 0.44968748092651367,
34
+ "height": 0.019755840301513672
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "office chair",
39
+ "id": "office chair_1",
40
+ "centroid": [
41
+ 0.4499095678329468,
42
+ -0.12572841346263885,
43
+ -0.43017578125
44
+ ],
45
+ "distance_to_camera": 0.6350413025571715,
46
+ "width": 0.821533203125,
47
+ "length": 0.473388671875,
48
+ "height": 1.04296875
49
+ },
50
+ "scene_id": "0230_txt_627e32bc2b24",
51
+ "layout_path": null,
52
+ "image_path": "question_image_9.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/018_spatial_compatibility/question_49.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "spatial_compatibility",
3
+ "question": "Determine whether the banana can be placed right of the keyboard. Answer yes or no.",
4
+ "choices": [
5
+ "A. Yes",
6
+ "B. No"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_017",
10
+ "camera_position": [
11
+ -0.6634878583501558,
12
+ 0.276579450129664,
13
+ -0.021995571806521008
14
+ ],
15
+ "camera_look_at": [
16
+ 0.9654285052904963,
17
+ -0.8839551419231559,
18
+ -0.5301125532093625
19
+ ],
20
+ "object_a": {
21
+ "label": "banana",
22
+ "id": "banana_0",
23
+ "width": 0.19013667106628418,
24
+ "length": 0.15857428312301636
25
+ },
26
+ "object_b": {
27
+ "label": "keyboard",
28
+ "id": "keyboard_0",
29
+ "width": 0.947509765625,
30
+ "length": 0.574951171875
31
+ },
32
+ "direction": "right of",
33
+ "scene_id": "0230_txt_627e32bc2b24",
34
+ "layout_path": null,
35
+ "image_path": "question_image_49.jpg"
36
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_0.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Match the smartphone (red bbox, first image) to its bounding box in the second image.\nA. [0, 192, 682, 492]\nB. [0, 147, 414, 251]\nC. [564, 191, 746, 269]\nD. [747, 197, 942, 314]\nRespond with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [0, 192, 682, 492]",
6
+ "B. [0, 147, 414, 251]",
7
+ "C. [564, 191, 746, 269]",
8
+ "D. [747, 197, 942, 314]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_014",
13
+ "position": [
14
+ -0.14040513750793415,
15
+ -0.028863293543178514,
16
+ -0.31646060193286085
17
+ ],
18
+ "look_at": [
19
+ -0.2142382186576928,
20
+ -1.187431521646765,
21
+ -0.48456436105191447
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_034",
26
+ "position": [
27
+ 0.17034808572345006,
28
+ -0.24839795426253675,
29
+ -0.31205930604414833
30
+ ],
31
+ "look_at": [
32
+ -0.06747931576879951,
33
+ -0.4766979435303356,
34
+ -0.5340768005727814
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "smartphone",
39
+ "id": "smartphone_0",
40
+ "centroid": [
41
+ -0.5381808876991272,
42
+ -0.6560155749320984,
43
+ -0.5191650390625
44
+ ],
45
+ "width": 0.17629408836364746,
46
+ "length": 0.2314453125,
47
+ "height": 0.019287109375
48
+ },
49
+ "scene_id": "0230_txt_627e32bc2b24",
50
+ "layout_path": null,
51
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+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_1.json ADDED
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+ {
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+ "type": "object_matching_mv",
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+ "question": "Based on the red bbox of keyboard in the first image, locate its bounding box in the second image. Pick the appropriate answer from the options given.\nA. [0, 0, 999, 998]\nB. [277, 386, 991, 952]\nC. [0, 356, 305, 453]\nD. [570, 389, 904, 555]\nYour answer can only include one of the options A, B, C, or D.",
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+ "choices": [
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+ "B. [277, 386, 991, 952]",
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+ "C. [0, 356, 305, 453]",
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+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_10.json ADDED
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+ {
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+ "type": "object_matching_mv",
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+ "question": "Using the red bbox of paper in the first image as reference, find its location in the second image.\nA. [767, 542, 999, 678]\nB. [0, 0, 999, 998]\nC. [567, 508, 999, 804]\nD. [405, 465, 585, 521]\nSelect A, B, C, or D.",
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+ "C. [567, 508, 999, 804]",
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+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_11.json ADDED
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1
+ {
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+ "type": "object_matching_mv",
3
+ "question": "Using the red bbox of desk in the first image as reference, find its location in the second image.\nA. [0, 672, 546, 948]\nB. [532, 677, 654, 791]\nC. [1, 585, 182, 715]\nD. [667, 741, 797, 908]\nSelect A, B, C, or D.",
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+ "B. [532, 677, 654, 791]",
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+ "C. [1, 585, 182, 715]",
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+ "D. [667, 741, 797, 908]"
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+ ],
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+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_12.json ADDED
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1
+ {
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+ "type": "object_matching_mv",
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+ "question": "Based on the red bbox of paper in the first image, locate its bounding box in the second image. Pick the appropriate answer from the options given.\nA. [814, 549, 999, 621]\nB. [0, 513, 899, 661]\nC. [318, 495, 405, 517]\nD. [374, 492, 678, 526]\nYour answer can only include one of the options A, B, C, or D.",
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+ "choices": [
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+ "B. [0, 513, 899, 661]",
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+ "C. [318, 495, 405, 517]",
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+ "D. [374, 492, 678, 526]"
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+ ],
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+ "answer": "D",
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+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_13.json ADDED
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1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The red bbox in the first image highlights the paper. Identify the correct bounding box for the same object in the second image.\nA. [0, 0, 999, 998]\nB. [587, 268, 881, 446]\nC. [634, 752, 903, 998]\nD. [540, 233, 717, 317]\nPick one: A, B, C, or D.",
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+ "choices": [
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+ "B. [587, 268, 881, 446]",
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+ "C. [634, 752, 903, 998]",
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+ "D. [540, 233, 717, 317]"
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+ ],
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+ "answer": "B",
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+ "image_path_b": "question_image_13_b.jpg"
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+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_14.json ADDED
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1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Locate the keyboard shown by the red bbox in image 1 within the second image. Which option matches?\nA. [489, 364, 656, 451]\nB. [0, 0, 999, 998]\nC. [277, 386, 991, 952]\nD. [570, 389, 904, 555]\nAnswer A, B, C, or D.",
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+ "choices": [
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+ "A. [489, 364, 656, 451]",
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+ "B. [0, 0, 999, 998]",
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+ "C. [277, 386, 991, 952]",
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+ "D. [570, 389, 904, 555]"
9
+ ],
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+ "answer": "C",
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+ "object": {
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+ "label": "keyboard",
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+ "id": "keyboard_0",
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+ "image_path_a": "question_image_14_a.jpg",
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+ "image_path_b": "question_image_14_b.jpg"
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+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_15.json ADDED
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1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "In the first image, desk is bounded by a red box. Which bounding box in the second image shows the same object?\nA. [675, 563, 897, 748]\nB. [587, 268, 881, 446]\nC. [371, 242, 802, 640]\nD. [540, 233, 717, 317]\nChoose A, B, C, or D.",
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+ "choices": [
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+ "A. [675, 563, 897, 748]",
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+ "B. [587, 268, 881, 446]",
7
+ "C. [371, 242, 802, 640]",
8
+ "D. [540, 233, 717, 317]"
9
+ ],
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+ "answer": "D",
11
+ "camera_a": {
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+ "name": "rand_033",
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+ "position": [
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+ "label": "desk",
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+ "id": "desk_1",
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+ "image_path_a": "question_image_15_a.jpg",
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+ "image_path_b": "question_image_15_b.jpg"
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+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_16.json ADDED
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1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The paper is indicated by the red bbox in image 1. Select the corresponding bbox in image 2.\nA. [667, 741, 797, 908]\nB. [125, 565, 435, 701]\nC. [532, 677, 654, 791]\nD. [1, 585, 182, 715]\nAnswer with one letter: A, B, C, or D.",
4
+ "choices": [
5
+ "A. [667, 741, 797, 908]",
6
+ "B. [125, 565, 435, 701]",
7
+ "C. [532, 677, 654, 791]",
8
+ "D. [1, 585, 182, 715]"
9
+ ],
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+ "answer": "B",
11
+ "camera_a": {
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+ "name": "rand_036",
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+ "position": [
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+ -0.40925253984679677,
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+ ]
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+ "name": "view_011",
26
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+ "id": "paper_0",
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+ -1.1868985891342163,
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+ "scene_id": "0230_txt_627e32bc2b24",
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+ "image_path_a": "question_image_16_a.jpg",
52
+ "image_path_b": "question_image_16_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_17.json ADDED
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1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Using the red bbox of keyboard in the first image as reference, find its location in the second image.\nA. [176, 223, 394, 313]\nB. [433, 427, 540, 540]\nC. [101, 212, 243, 301]\nD. [0, 285, 412, 476]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [176, 223, 394, 313]",
6
+ "B. [433, 427, 540, 540]",
7
+ "C. [101, 212, 243, 301]",
8
+ "D. [0, 285, 412, 476]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_003",
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+ "position": [
14
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+ -0.07579088978392923,
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+ ],
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+ "look_at": [
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+ -0.49702493633780226
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+ ]
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+ },
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+ "camera_b": {
25
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26
+ "position": [
27
+ -0.5128875998859628,
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+ -0.40925253984679677,
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+ -0.53429460598126
35
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+ },
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+ "object": {
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+ "label": "keyboard",
39
+ "id": "keyboard_0",
40
+ "centroid": [
41
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42
+ -0.8202064633369446,
43
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44
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46
+ "length": 0.574951171875,
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+ "height": 0.03564453125
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+ "scene_id": "0230_txt_627e32bc2b24",
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+ "layout_path": null,
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+ "image_path_a": "question_image_17_a.jpg",
52
+ "image_path_b": "question_image_17_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_18.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Locate the paper shown by the red bbox in image 1 within the second image. Which option matches?\nA. [153, 602, 831, 972]\nB. [365, 536, 490, 636]\nC. [835, 751, 999, 934]\nD. [447, 551, 722, 662]\nAnswer A, B, C, or D.",
4
+ "choices": [
5
+ "A. [153, 602, 831, 972]",
6
+ "B. [365, 536, 490, 636]",
7
+ "C. [835, 751, 999, 934]",
8
+ "D. [447, 551, 722, 662]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
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+ "name": "rand_003",
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+ "position": [
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+ -0.515380859375
44
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+ "length": 0.46728515625,
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+ "height": 0.03662109375
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+ },
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+ "scene_id": "0230_txt_627e32bc2b24",
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+ "layout_path": null,
51
+ "image_path_a": "question_image_18_a.jpg",
52
+ "image_path_b": "question_image_18_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_19.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Locate the banana shown by the red bbox in image 1 within the second image. Which option matches?\nA. [316, 438, 767, 586]\nB. [729, 524, 873, 596]\nC. [0, 0, 999, 998]\nD. [796, 572, 972, 690]\nAnswer A, B, C, or D.",
4
+ "choices": [
5
+ "A. [316, 438, 767, 586]",
6
+ "B. [729, 524, 873, 596]",
7
+ "C. [0, 0, 999, 998]",
8
+ "D. [796, 572, 972, 690]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
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+ "name": "view_003",
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+ "position": [
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+ -0.0,
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+ -5.914589666286812e-16,
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+ -2.5881905555725098
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+ ]
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+ },
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+ "camera_b": {
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+ "name": "rand_015",
26
+ "position": [
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+ -0.2623761230152417
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+ -0.8659484994565095,
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+ -0.5378509232450138
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+ },
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+ "object": {
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+ "label": "banana",
39
+ "id": "banana_0",
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44
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+ "length": 0.15857428312301636,
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+ },
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+ "scene_id": "0230_txt_627e32bc2b24",
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+ "layout_path": null,
51
+ "image_path_a": "question_image_19_a.jpg",
52
+ "image_path_b": "question_image_19_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_2.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Find the matching bounding box for keyboard (red bbox in image 1) in the second image.\nA. [316, 438, 767, 586]\nB. [729, 524, 873, 596]\nC. [505, 436, 584, 455]\nD. [528, 443, 740, 492]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [316, 438, 767, 586]",
6
+ "B. [729, 524, 873, 596]",
7
+ "C. [505, 436, 584, 455]",
8
+ "D. [528, 443, 740, 492]"
9
+ ],
10
+ "answer": "A",
11
+ "camera_a": {
12
+ "name": "view_001",
13
+ "position": [
14
+ -0.0,
15
+ -0.0,
16
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17
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+ -8.36516284942627,
21
+ -2.5881905555725098
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+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_015",
26
+ "position": [
27
+ -0.4449784041484705,
28
+ 0.3240832772086865,
29
+ -0.2623761230152417
30
+ ],
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+ "look_at": [
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33
+ -0.8659484994565095,
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+ -0.5378509232450138
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+ ]
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+ },
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+ "object": {
38
+ "label": "keyboard",
39
+ "id": "keyboard_0",
40
+ "centroid": [
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+ 0.019246801733970642,
42
+ -0.8202064633369446,
43
+ -0.505615234375
44
+ ],
45
+ "width": 0.947509765625,
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+ "length": 0.574951171875,
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+ "height": 0.03564453125
48
+ },
49
+ "scene_id": "0230_txt_627e32bc2b24",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_2_a.jpg",
52
+ "image_path_b": "question_image_2_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_20.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Based on the red bbox of keyboard in the first image, locate its bounding box in the second image. Pick the appropriate answer from the options given.\nA. [125, 565, 435, 701]\nB. [1, 585, 182, 715]\nC. [532, 677, 654, 791]\nD. [0, 672, 546, 948]\nYour answer can only include one of the options A, B, C, or D.",
4
+ "choices": [
5
+ "A. [125, 565, 435, 701]",
6
+ "B. [1, 585, 182, 715]",
7
+ "C. [532, 677, 654, 791]",
8
+ "D. [0, 672, 546, 948]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_025",
13
+ "position": [
14
+ -0.2819344684085311,
15
+ -0.14878458058089847,
16
+ -0.1416163165876858
17
+ ],
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+ "look_at": [
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20
+ -0.8553787608278955,
21
+ -0.4970660152967508
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+ ]
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+ },
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+ "camera_b": {
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+ "name": "view_011",
26
+ "position": [
27
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28
+ -0.0,
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30
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+ -2.5881905555725098
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+ ]
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+ },
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+ "object": {
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+ "label": "keyboard",
39
+ "id": "keyboard_0",
40
+ "centroid": [
41
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+ -0.8202064633369446,
43
+ -0.505615234375
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+ ],
45
+ "width": 0.947509765625,
46
+ "length": 0.574951171875,
47
+ "height": 0.03564453125
48
+ },
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+ "scene_id": "0230_txt_627e32bc2b24",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_20_a.jpg",
52
+ "image_path_b": "question_image_20_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_21.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The paper 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. [176, 223, 394, 313]\nB. [101, 212, 243, 301]\nC. [433, 427, 540, 540]\nD. [387, 355, 483, 445]\nAnswer with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [176, 223, 394, 313]",
6
+ "B. [101, 212, 243, 301]",
7
+ "C. [433, 427, 540, 540]",
8
+ "D. [387, 355, 483, 445]"
9
+ ],
10
+ "answer": "A",
11
+ "camera_a": {
12
+ "name": "rand_015",
13
+ "position": [
14
+ -0.4449784041484705,
15
+ 0.3240832772086865,
16
+ -0.2623761230152417
17
+ ],
18
+ "look_at": [
19
+ 0.057863747053193415,
20
+ -0.8659484994565095,
21
+ -0.5378509232450138
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_036",
26
+ "position": [
27
+ -0.5128875998859628,
28
+ 0.38104627654014456,
29
+ 0.12507058517812975
30
+ ],
31
+ "look_at": [
32
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33
+ -0.40925253984679677,
34
+ -0.53429460598126
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "paper",
39
+ "id": "paper_0",
40
+ "centroid": [
41
+ -0.17892341315746307,
42
+ -1.1868985891342163,
43
+ -0.515380859375
44
+ ],
45
+ "width": 0.5126953125,
46
+ "length": 0.46728515625,
47
+ "height": 0.03662109375
48
+ },
49
+ "scene_id": "0230_txt_627e32bc2b24",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_21_a.jpg",
52
+ "image_path_b": "question_image_21_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_22.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Identify which bounding box in the second image matches the desk (red bbox) from the first image.\nA. [176, 223, 394, 313]\nB. [387, 355, 483, 445]\nC. [0, 285, 412, 476]\nD. [101, 212, 243, 301]\nYour answer should be A, B, C, or D.",
4
+ "choices": [
5
+ "A. [176, 223, 394, 313]",
6
+ "B. [387, 355, 483, 445]",
7
+ "C. [0, 285, 412, 476]",
8
+ "D. [101, 212, 243, 301]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_015",
13
+ "position": [
14
+ -0.4449784041484705,
15
+ 0.3240832772086865,
16
+ -0.2623761230152417
17
+ ],
18
+ "look_at": [
19
+ 0.057863747053193415,
20
+ -0.8659484994565095,
21
+ -0.5378509232450138
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_036",
26
+ "position": [
27
+ -0.5128875998859628,
28
+ 0.38104627654014456,
29
+ 0.12507058517812975
30
+ ],
31
+ "look_at": [
32
+ -0.6374442331891987,
33
+ -0.40925253984679677,
34
+ -0.53429460598126
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "desk",
39
+ "id": "desk_1",
40
+ "centroid": [
41
+ 0.16535089910030365,
42
+ -1.3192274570465088,
43
+ -0.5304223895072937
44
+ ],
45
+ "width": 0.22767579555511475,
46
+ "length": 0.5509181022644043,
47
+ "height": 0.041098713874816895
48
+ },
49
+ "scene_id": "0230_txt_627e32bc2b24",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_22_a.jpg",
52
+ "image_path_b": "question_image_22_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_23.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Identify which bounding box in the second image matches the paper (red bbox) from the first image.\nA. [298, 440, 418, 538]\nB. [741, 605, 873, 736]\nC. [381, 450, 644, 553]\nD. [84, 520, 743, 788]\nYour answer should be A, B, C, or D.",
4
+ "choices": [
5
+ "A. [298, 440, 418, 538]",
6
+ "B. [741, 605, 873, 736]",
7
+ "C. [381, 450, 644, 553]",
8
+ "D. [84, 520, 743, 788]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_009",
13
+ "position": [
14
+ -0.6312202272081578,
15
+ -0.05930475935843549,
16
+ 0.009999406834928726
17
+ ],
18
+ "look_at": [
19
+ -0.12453232483942678,
20
+ -0.5906747686528269,
21
+ -0.5273149851888059
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_029",
26
+ "position": [
27
+ 0.05050333981550714,
28
+ 0.017306250698595482,
29
+ 0.023881593654926814
30
+ ],
31
+ "look_at": [
32
+ -0.15433678699681175,
33
+ -1.2090660167073808,
34
+ -0.5112306888899734
35
+ ]
36
+ },
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+ "object": {
38
+ "label": "paper",
39
+ "id": "paper_0",
40
+ "centroid": [
41
+ -0.17892341315746307,
42
+ -1.1868985891342163,
43
+ -0.515380859375
44
+ ],
45
+ "width": 0.5126953125,
46
+ "length": 0.46728515625,
47
+ "height": 0.03662109375
48
+ },
49
+ "scene_id": "0230_txt_627e32bc2b24",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_23_a.jpg",
52
+ "image_path_b": "question_image_23_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_24.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Match the desk (red bbox, first image) to its bounding box in the second image.\nA. [835, 751, 999, 934]\nB. [153, 602, 831, 972]\nC. [447, 551, 722, 662]\nD. [365, 536, 490, 636]\nRespond with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [835, 751, 999, 934]",
6
+ "B. [153, 602, 831, 972]",
7
+ "C. [447, 551, 722, 662]",
8
+ "D. [365, 536, 490, 636]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_027",
13
+ "position": [
14
+ -0.5764015724074567,
15
+ -0.2518992568857752,
16
+ -0.267397058592296
17
+ ],
18
+ "look_at": [
19
+ 0.12075362267113299,
20
+ -0.814383820793697,
21
+ -0.52696352469555
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "view_000",
26
+ "position": [
27
+ -0.0,
28
+ -0.0,
29
+ 0.0
30
+ ],
31
+ "look_at": [
32
+ 0.0,
33
+ -9.659257888793945,
34
+ -2.5881905555725098
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "desk",
39
+ "id": "desk_1",
40
+ "centroid": [
41
+ 0.16535089910030365,
42
+ -1.3192274570465088,
43
+ -0.5304223895072937
44
+ ],
45
+ "width": 0.22767579555511475,
46
+ "length": 0.5509181022644043,
47
+ "height": 0.041098713874816895
48
+ },
49
+ "scene_id": "0230_txt_627e32bc2b24",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_24_a.jpg",
52
+ "image_path_b": "question_image_24_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_25.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Based on the red bbox of smartphone in the first image, locate its bounding box in the second image. Pick the appropriate answer from the options given.\nA. [212, 378, 442, 424]\nB. [631, 435, 999, 582]\nC. [580, 416, 778, 460]\nD. [764, 725, 999, 998]\nYour answer can only include one of the options A, B, C, or D.",
4
+ "choices": [
5
+ "A. [212, 378, 442, 424]",
6
+ "B. [631, 435, 999, 582]",
7
+ "C. [580, 416, 778, 460]",
8
+ "D. [764, 725, 999, 998]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "view_010",
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_027",
26
+ "position": [
27
+ -0.5764015724074567,
28
+ -0.2518992568857752,
29
+ -0.267397058592296
30
+ ],
31
+ "look_at": [
32
+ 0.12075362267113299,
33
+ -0.814383820793697,
34
+ -0.52696352469555
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "smartphone",
39
+ "id": "smartphone_0",
40
+ "centroid": [
41
+ -0.5381808876991272,
42
+ -0.6560155749320984,
43
+ -0.5191650390625
44
+ ],
45
+ "width": 0.17629408836364746,
46
+ "length": 0.2314453125,
47
+ "height": 0.019287109375
48
+ },
49
+ "scene_id": "0230_txt_627e32bc2b24",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_25_a.jpg",
52
+ "image_path_b": "question_image_25_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_26.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "In the first image, mouse is bounded by a red box. Which bounding box in the second image shows the same object?\nA. [176, 223, 394, 313]\nB. [433, 427, 540, 540]\nC. [0, 285, 412, 476]\nD. [101, 212, 243, 301]\nChoose A, B, C, or D.",
4
+ "choices": [
5
+ "A. [176, 223, 394, 313]",
6
+ "B. [433, 427, 540, 540]",
7
+ "C. [0, 285, 412, 476]",
8
+ "D. [101, 212, 243, 301]"
9
+ ],
10
+ "answer": "B",
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_036",
26
+ "position": [
27
+ -0.5128875998859628,
28
+ 0.38104627654014456,
29
+ 0.12507058517812975
30
+ ],
31
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33
+ -0.40925253984679677,
34
+ -0.53429460598126
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "mouse",
39
+ "id": "mouse_0",
40
+ "centroid": [
41
+ -0.5875087380409241,
42
+ -0.4252133369445801,
43
+ -0.50537109375
44
+ ],
45
+ "width": 0.16162109375,
46
+ "length": 0.20556640625,
47
+ "height": 0.0537109375
48
+ },
49
+ "scene_id": "0230_txt_627e32bc2b24",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_26_a.jpg",
52
+ "image_path_b": "question_image_26_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_27.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Identify which bounding box in the second image matches the smartphone (red bbox) from the first image.\nA. [374, 492, 678, 526]\nB. [0, 513, 899, 661]\nC. [318, 495, 405, 517]\nD. [814, 549, 999, 621]\nYour answer should be A, B, C, or D.",
4
+ "choices": [
5
+ "A. [374, 492, 678, 526]",
6
+ "B. [0, 513, 899, 661]",
7
+ "C. [318, 495, 405, 517]",
8
+ "D. [814, 549, 999, 621]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_034",
13
+ "position": [
14
+ 0.17034808572345006,
15
+ -0.24839795426253675,
16
+ -0.31205930604414833
17
+ ],
18
+ "look_at": [
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+ -0.06747931576879951,
20
+ -0.4766979435303356,
21
+ -0.5340768005727814
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_003",
26
+ "position": [
27
+ 0.16486919543272283,
28
+ -0.07579088978392923,
29
+ -0.3338448848742215
30
+ ],
31
+ "look_at": [
32
+ -0.14564680980974637,
33
+ -1.2363261445710994,
34
+ -0.49702493633780226
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "smartphone",
39
+ "id": "smartphone_0",
40
+ "centroid": [
41
+ -0.5381808876991272,
42
+ -0.6560155749320984,
43
+ -0.5191650390625
44
+ ],
45
+ "width": 0.17629408836364746,
46
+ "length": 0.2314453125,
47
+ "height": 0.019287109375
48
+ },
49
+ "scene_id": "0230_txt_627e32bc2b24",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_27_a.jpg",
52
+ "image_path_b": "question_image_27_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_28.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Find the matching bounding box for keyboard (red bbox in image 1) in the second image.\nA. [0, 0, 999, 998]\nB. [387, 404, 986, 818]\nC. [580, 416, 778, 460]\nD. [764, 725, 999, 998]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [0, 0, 999, 998]",
6
+ "B. [387, 404, 986, 818]",
7
+ "C. [580, 416, 778, 460]",
8
+ "D. [764, 725, 999, 998]"
9
+ ],
10
+ "answer": "B",
11
+ "camera_a": {
12
+ "name": "rand_036",
13
+ "position": [
14
+ -0.5128875998859628,
15
+ 0.38104627654014456,
16
+ 0.12507058517812975
17
+ ],
18
+ "look_at": [
19
+ -0.6374442331891987,
20
+ -0.40925253984679677,
21
+ -0.53429460598126
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_027",
26
+ "position": [
27
+ -0.5764015724074567,
28
+ -0.2518992568857752,
29
+ -0.267397058592296
30
+ ],
31
+ "look_at": [
32
+ 0.12075362267113299,
33
+ -0.814383820793697,
34
+ -0.52696352469555
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "keyboard",
39
+ "id": "keyboard_0",
40
+ "centroid": [
41
+ 0.019246801733970642,
42
+ -0.8202064633369446,
43
+ -0.505615234375
44
+ ],
45
+ "width": 0.947509765625,
46
+ "length": 0.574951171875,
47
+ "height": 0.03564453125
48
+ },
49
+ "scene_id": "0230_txt_627e32bc2b24",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_28_a.jpg",
52
+ "image_path_b": "question_image_28_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_29.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The desk is indicated by the red bbox in image 1. Select the corresponding bbox in image 2.\nA. [381, 450, 644, 553]\nB. [84, 520, 743, 788]\nC. [741, 605, 873, 736]\nD. [298, 440, 418, 538]\nAnswer with one letter: A, B, C, or D.",
4
+ "choices": [
5
+ "A. [381, 450, 644, 553]",
6
+ "B. [84, 520, 743, 788]",
7
+ "C. [741, 605, 873, 736]",
8
+ "D. [298, 440, 418, 538]"
9
+ ],
10
+ "answer": "D",
11
+ "camera_a": {
12
+ "name": "rand_033",
13
+ "position": [
14
+ -0.08379225840257115,
15
+ -0.3340759781660594,
16
+ -0.288376450158097
17
+ ],
18
+ "look_at": [
19
+ -0.1717283209987576,
20
+ -1.2894734796208256,
21
+ -0.544136845697766
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_029",
26
+ "position": [
27
+ 0.05050333981550714,
28
+ 0.017306250698595482,
29
+ 0.023881593654926814
30
+ ],
31
+ "look_at": [
32
+ -0.15433678699681175,
33
+ -1.2090660167073808,
34
+ -0.5112306888899734
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "desk",
39
+ "id": "desk_1",
40
+ "centroid": [
41
+ 0.16535089910030365,
42
+ -1.3192274570465088,
43
+ -0.5304223895072937
44
+ ],
45
+ "width": 0.22767579555511475,
46
+ "length": 0.5509181022644043,
47
+ "height": 0.041098713874816895
48
+ },
49
+ "scene_id": "0230_txt_627e32bc2b24",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_29_a.jpg",
52
+ "image_path_b": "question_image_29_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_3.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Find the matching bounding box for keyboard (red bbox in image 1) in the second image.\nA. [84, 520, 743, 788]\nB. [298, 440, 418, 538]\nC. [741, 605, 873, 736]\nD. [381, 450, 644, 553]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [84, 520, 743, 788]",
6
+ "B. [298, 440, 418, 538]",
7
+ "C. [741, 605, 873, 736]",
8
+ "D. [381, 450, 644, 553]"
9
+ ],
10
+ "answer": "A",
11
+ "camera_a": {
12
+ "name": "rand_036",
13
+ "position": [
14
+ -0.5128875998859628,
15
+ 0.38104627654014456,
16
+ 0.12507058517812975
17
+ ],
18
+ "look_at": [
19
+ -0.6374442331891987,
20
+ -0.40925253984679677,
21
+ -0.53429460598126
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_029",
26
+ "position": [
27
+ 0.05050333981550714,
28
+ 0.017306250698595482,
29
+ 0.023881593654926814
30
+ ],
31
+ "look_at": [
32
+ -0.15433678699681175,
33
+ -1.2090660167073808,
34
+ -0.5112306888899734
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "keyboard",
39
+ "id": "keyboard_0",
40
+ "centroid": [
41
+ 0.019246801733970642,
42
+ -0.8202064633369446,
43
+ -0.505615234375
44
+ ],
45
+ "width": 0.947509765625,
46
+ "length": 0.574951171875,
47
+ "height": 0.03564453125
48
+ },
49
+ "scene_id": "0230_txt_627e32bc2b24",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_3_a.jpg",
52
+ "image_path_b": "question_image_3_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_30.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Using the red bbox of paper in the first image as reference, find its location in the second image.\nA. [489, 364, 656, 451]\nB. [277, 386, 991, 952]\nC. [0, 356, 305, 453]\nD. [0, 0, 999, 998]\nSelect A, B, C, or D.",
4
+ "choices": [
5
+ "A. [489, 364, 656, 451]",
6
+ "B. [277, 386, 991, 952]",
7
+ "C. [0, 356, 305, 453]",
8
+ "D. [0, 0, 999, 998]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_009",
13
+ "position": [
14
+ -0.6312202272081578,
15
+ -0.05930475935843549,
16
+ 0.009999406834928726
17
+ ],
18
+ "look_at": [
19
+ -0.12453232483942678,
20
+ -0.5906747686528269,
21
+ -0.5273149851888059
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_025",
26
+ "position": [
27
+ -0.2819344684085311,
28
+ -0.14878458058089847,
29
+ -0.1416163165876858
30
+ ],
31
+ "look_at": [
32
+ 0.09562468627505682,
33
+ -0.8553787608278955,
34
+ -0.4970660152967508
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "paper",
39
+ "id": "paper_1",
40
+ "centroid": [
41
+ 0.9608377814292908,
42
+ -0.9075831770896912,
43
+ -0.5218408107757568
44
+ ],
45
+ "width": 0.495849609375,
46
+ "length": 0.44968748092651367,
47
+ "height": 0.019755840301513672
48
+ },
49
+ "scene_id": "0230_txt_627e32bc2b24",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_30_a.jpg",
52
+ "image_path_b": "question_image_30_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_31.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Match the mouse (red bbox, first image) to its bounding box in the second image.\nA. [564, 191, 746, 269]\nB. [747, 197, 942, 314]\nC. [0, 147, 414, 251]\nD. [0, 192, 682, 492]\nRespond with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [564, 191, 746, 269]",
6
+ "B. [747, 197, 942, 314]",
7
+ "C. [0, 147, 414, 251]",
8
+ "D. [0, 192, 682, 492]"
9
+ ],
10
+ "answer": "B",
11
+ "camera_a": {
12
+ "name": "view_010",
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_034",
26
+ "position": [
27
+ 0.17034808572345006,
28
+ -0.24839795426253675,
29
+ -0.31205930604414833
30
+ ],
31
+ "look_at": [
32
+ -0.06747931576879951,
33
+ -0.4766979435303356,
34
+ -0.5340768005727814
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "mouse",
39
+ "id": "mouse_0",
40
+ "centroid": [
41
+ -0.5875087380409241,
42
+ -0.4252133369445801,
43
+ -0.50537109375
44
+ ],
45
+ "width": 0.16162109375,
46
+ "length": 0.20556640625,
47
+ "height": 0.0537109375
48
+ },
49
+ "scene_id": "0230_txt_627e32bc2b24",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_31_a.jpg",
52
+ "image_path_b": "question_image_31_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_32.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Identify which bounding box in the second image matches the desk (red bbox) from the first image.\nA. [0, 0, 999, 998]\nB. [0, 356, 305, 453]\nC. [489, 364, 656, 451]\nD. [570, 389, 904, 555]\nYour answer should be A, B, C, or D.",
4
+ "choices": [
5
+ "A. [0, 0, 999, 998]",
6
+ "B. [0, 356, 305, 453]",
7
+ "C. [489, 364, 656, 451]",
8
+ "D. [570, 389, 904, 555]"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "rand_009",
13
+ "position": [
14
+ -0.6312202272081578,
15
+ -0.05930475935843549,
16
+ 0.009999406834928726
17
+ ],
18
+ "look_at": [
19
+ -0.12453232483942678,
20
+ -0.5906747686528269,
21
+ -0.5273149851888059
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "rand_025",
26
+ "position": [
27
+ -0.2819344684085311,
28
+ -0.14878458058089847,
29
+ -0.1416163165876858
30
+ ],
31
+ "look_at": [
32
+ 0.09562468627505682,
33
+ -0.8553787608278955,
34
+ -0.4970660152967508
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "desk",
39
+ "id": "desk_1",
40
+ "centroid": [
41
+ 0.16535089910030365,
42
+ -1.3192274570465088,
43
+ -0.5304223895072937
44
+ ],
45
+ "width": 0.22767579555511475,
46
+ "length": 0.5509181022644043,
47
+ "height": 0.041098713874816895
48
+ },
49
+ "scene_id": "0230_txt_627e32bc2b24",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_32_a.jpg",
52
+ "image_path_b": "question_image_32_b.jpg"
53
+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_33.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Locate the banana shown by the red bbox in image 1 within the second image. Which option matches?\nA. [713, 515, 868, 568]\nB. [767, 542, 999, 678]\nC. [0, 0, 999, 998]\nD. [567, 508, 999, 804]\nAnswer A, B, C, or D.",
4
+ "choices": [
5
+ "A. [713, 515, 868, 568]",
6
+ "B. [767, 542, 999, 678]",
7
+ "C. [0, 0, 999, 998]",
8
+ "D. [567, 508, 999, 804]"
9
+ ],
10
+ "answer": "C",
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
+ },
24
+ "camera_b": {
25
+ "name": "rand_017",
26
+ "position": [
27
+ -0.6634878583501558,
28
+ 0.276579450129664,
29
+ -0.021995571806521008
30
+ ],
31
+ "look_at": [
32
+ 0.9654285052904963,
33
+ -0.8839551419231559,
34
+ -0.5301125532093625
35
+ ]
36
+ },
37
+ "object": {
38
+ "label": "banana",
39
+ "id": "banana_0",
40
+ "centroid": [
41
+ 1.3654087781906128,
42
+ -0.9398716688156128,
43
+ -0.48182128369808197
44
+ ],
45
+ "width": 0.19013667106628418,
46
+ "length": 0.15857428312301636,
47
+ "height": 0.07297852635383606
48
+ },
49
+ "scene_id": "0230_txt_627e32bc2b24",
50
+ "layout_path": null,
51
+ "image_path_a": "question_image_33_a.jpg",
52
+ "image_path_b": "question_image_33_b.jpg"
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+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_34.json ADDED
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+ {
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+ "type": "object_matching_mv",
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+ "question": "The red bbox in the first image highlights the desk. Identify the correct bounding box for the same object in the second image.\nA. [634, 752, 903, 998]\nB. [0, 0, 999, 998]\nC. [587, 268, 881, 446]\nD. [540, 233, 717, 317]\nPick one: A, B, C, or D.",
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+ "choices": [
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+ "A. [634, 752, 903, 998]",
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+ "B. [0, 0, 999, 998]",
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+ "C. [587, 268, 881, 446]",
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+ "D. [540, 233, 717, 317]"
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+ ],
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+ "answer": "D",
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+ "camera_a": {
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+ "position": [
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+ "image_path_b": "question_image_34_b.jpg"
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+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_35.json ADDED
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+ {
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+ "type": "object_matching_mv",
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+ "question": "Based on the red bbox of paper in the first image, locate its bounding box in the second image. Pick the appropriate answer from the options given.\nA. [0, 192, 682, 492]\nB. [564, 191, 746, 269]\nC. [747, 197, 942, 314]\nD. [0, 147, 414, 251]\nYour answer can only include one of the options A, B, C, or D.",
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+ "choices": [
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+ "A. [0, 192, 682, 492]",
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+ "B. [564, 191, 746, 269]",
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+ "C. [747, 197, 942, 314]",
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+ "D. [0, 147, 414, 251]"
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+ ],
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+ "answer": "D",
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+ "camera_a": {
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+ "image_path_b": "question_image_35_b.jpg"
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+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_36.json ADDED
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1
+ {
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+ "type": "object_matching_mv",
3
+ "question": "The smartphone is indicated by the red bbox in image 1. Select the corresponding bbox in image 2.\nA. [298, 440, 418, 538]\nB. [84, 520, 743, 788]\nC. [381, 450, 644, 553]\nD. [741, 605, 873, 736]\nAnswer with one letter: A, B, C, or D.",
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+ "choices": [
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+ "A. [298, 440, 418, 538]",
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+ "B. [84, 520, 743, 788]",
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+ "C. [381, 450, 644, 553]",
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+ "D. [741, 605, 873, 736]"
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+ ],
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+ "answer": "D",
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+ "camera_a": {
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+ "name": "rand_015",
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+ "position": [
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+ -0.2623761230152417
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+ "label": "smartphone",
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+ "id": "smartphone_0",
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+ "image_path_a": "question_image_36_a.jpg",
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+ "image_path_b": "question_image_36_b.jpg"
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+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_37.json ADDED
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1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "Match the paper (red bbox, first image) to its bounding box in the second image.\nA. [489, 364, 656, 451]\nB. [570, 389, 904, 555]\nC. [0, 356, 305, 453]\nD. [277, 386, 991, 952]\nRespond with A, B, C, or D only.",
4
+ "choices": [
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+ "A. [489, 364, 656, 451]",
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+ "B. [570, 389, 904, 555]",
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+ "C. [0, 356, 305, 453]",
8
+ "D. [277, 386, 991, 952]"
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+ ],
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+ "answer": "B",
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+ "camera_a": {
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+ "name": "rand_033",
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+ "position": [
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+ -0.3340759781660594,
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+ "camera_b": {
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+ "position": [
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+ "image_path_a": "question_image_37_a.jpg",
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+ "image_path_b": "question_image_37_b.jpg"
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+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_38.json ADDED
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1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "The mouse 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. [371, 242, 802, 640]\nB. [540, 233, 717, 317]\nC. [0, 0, 999, 998]\nD. [634, 752, 903, 998]\nAnswer with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [371, 242, 802, 640]",
6
+ "B. [540, 233, 717, 317]",
7
+ "C. [0, 0, 999, 998]",
8
+ "D. [634, 752, 903, 998]"
9
+ ],
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+ "answer": "D",
11
+ "camera_a": {
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+ "name": "rand_015",
13
+ "position": [
14
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15
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+ -0.2623761230152417
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+ ],
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+ "look_at": [
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20
+ -0.8659484994565095,
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+ -0.5378509232450138
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+ ]
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+ "camera_b": {
25
+ "name": "rand_009",
26
+ "position": [
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+ -0.6312202272081578,
28
+ -0.05930475935843549,
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+ 0.009999406834928726
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+ "look_at": [
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+ -0.5906747686528269,
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+ },
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+ "object": {
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+ "label": "mouse",
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+ "id": "mouse_0",
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+ "centroid": [
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+ -0.5875087380409241,
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+ -0.4252133369445801,
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+ -0.50537109375
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+ ],
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+ "width": 0.16162109375,
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+ "image_path_a": "question_image_38_a.jpg",
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+ "image_path_b": "question_image_38_b.jpg"
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+ }
0230_txt_627e32bc2b24/tasks/019_object_matching_mv/question_39.json ADDED
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1
+ {
2
+ "type": "object_matching_mv",
3
+ "question": "In the first image, keyboard is bounded by a red box. Which bounding box in the second image shows the same object?\nA. [248, 194, 429, 725]\nB. [0, 0, 999, 998]\nC. [567, 508, 999, 804]\nD. [713, 515, 868, 568]\nChoose A, B, C, or D.",
4
+ "choices": [
5
+ "A. [248, 194, 429, 725]",
6
+ "B. [0, 0, 999, 998]",
7
+ "C. [567, 508, 999, 804]",
8
+ "D. [713, 515, 868, 568]"
9
+ ],
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+ "answer": "C",
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+ "camera_a": {
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+ "name": "rand_001",
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+ "position": [
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+ 0.32222831938433116,
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+ -0.037518925155665794
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+ -0.35621591425976074,
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+ -0.48481109074418594
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+ ]
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+ "camera_b": {
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+ "name": "rand_017",
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+ "position": [
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+ -0.6634878583501558,
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+ 0.276579450129664,
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+ -0.021995571806521008
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+ ],
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+ -0.8839551419231559,
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+ "object": {
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+ "label": "keyboard",
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+ "id": "keyboard_0",
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+ "centroid": [
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+ -0.8202064633369446,
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+ "width": 0.947509765625,
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+ "scene_id": "0230_txt_627e32bc2b24",
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+ "image_path_a": "question_image_39_a.jpg",
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+ "image_path_b": "question_image_39_b.jpg"
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+ }