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  1. .gitattributes +7 -0
  2. 0278_txt_66ad30a7f7e6/input.json +7 -0
  3. 0278_txt_66ad30a7f7e6/tasks/000_closest_object/question_0.json +51 -0
  4. 0278_txt_66ad30a7f7e6/tasks/000_closest_object/question_1.json +51 -0
  5. 0278_txt_66ad30a7f7e6/tasks/000_closest_object/question_2.json +51 -0
  6. 0278_txt_66ad30a7f7e6/tasks/001_depth_estimation/question_0.json +32 -0
  7. 0278_txt_66ad30a7f7e6/tasks/001_depth_estimation/question_1.json +32 -0
  8. 0278_txt_66ad30a7f7e6/tasks/001_depth_estimation/question_2.json +32 -0
  9. 0278_txt_66ad30a7f7e6/tasks/001_depth_estimation/question_3.json +32 -0
  10. 0278_txt_66ad30a7f7e6/tasks/001_depth_estimation/question_4.json +32 -0
  11. 0278_txt_66ad30a7f7e6/tasks/001_depth_estimation/question_5.json +32 -0
  12. 0278_txt_66ad30a7f7e6/tasks/002_distance_estimation/question_0.json +32 -0
  13. 0278_txt_66ad30a7f7e6/tasks/002_distance_estimation/question_1.json +32 -0
  14. 0278_txt_66ad30a7f7e6/tasks/002_distance_estimation/question_2.json +32 -0
  15. 0278_txt_66ad30a7f7e6/tasks/002_distance_estimation/question_3.json +32 -0
  16. 0278_txt_66ad30a7f7e6/tasks/002_distance_estimation/question_4.json +32 -0
  17. 0278_txt_66ad30a7f7e6/tasks/004_relative_direction/question_0.json +53 -0
  18. 0278_txt_66ad30a7f7e6/tasks/004_relative_direction/question_1.json +53 -0
  19. 0278_txt_66ad30a7f7e6/tasks/004_relative_direction/question_2.json +53 -0
  20. 0278_txt_66ad30a7f7e6/tasks/005_camera_object_position/question_0.json +39 -0
  21. 0278_txt_66ad30a7f7e6/tasks/005_camera_object_position/question_1.json +39 -0
  22. 0278_txt_66ad30a7f7e6/tasks/005_camera_object_position/question_2.json +39 -0
  23. 0278_txt_66ad30a7f7e6/tasks/005_camera_object_position/question_3.json +39 -0
  24. 0278_txt_66ad30a7f7e6/tasks/007_object_size/question_0.json +31 -0
  25. 0278_txt_66ad30a7f7e6/tasks/007_object_size/question_1.json +31 -0
  26. 0278_txt_66ad30a7f7e6/tasks/007_object_size/question_2.json +31 -0
  27. 0278_txt_66ad30a7f7e6/tasks/007_object_size/question_3.json +31 -0
  28. 0278_txt_66ad30a7f7e6/tasks/007_object_size/question_4.json +31 -0
  29. 0278_txt_66ad30a7f7e6/tasks/007_object_size/question_5.json +31 -0
  30. 0278_txt_66ad30a7f7e6/tasks/010_object_grounding/question_0.json +34 -0
  31. 0278_txt_66ad30a7f7e6/tasks/010_object_grounding/question_1.json +34 -0
  32. 0278_txt_66ad30a7f7e6/tasks/010_object_grounding/question_2.json +34 -0
  33. 0278_txt_66ad30a7f7e6/tasks/010_object_grounding/question_3.json +34 -0
  34. 0278_txt_66ad30a7f7e6/tasks/010_object_grounding/question_4.json +34 -0
  35. 0278_txt_66ad30a7f7e6/tasks/012_camera_facing_direction/question_0.json +41 -0
  36. 0278_txt_66ad30a7f7e6/tasks/012_camera_facing_direction/question_1.json +41 -0
  37. 0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_0.json +42 -0
  38. 0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_1.json +42 -0
  39. 0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_10.json +42 -0
  40. 0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_11.json +42 -0
  41. 0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_12.json +42 -0
  42. 0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_13.json +42 -0
  43. 0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_14.json +42 -0
  44. 0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_15.json +42 -0
  45. 0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_16.json +42 -0
  46. 0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_17.json +42 -0
  47. 0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_18.json +42 -0
  48. 0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_19.json +42 -0
  49. 0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_2.json +42 -0
  50. 0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_20.json +42 -0
.gitattributes CHANGED
@@ -163,3 +163,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  0295_txt_29c1fc26d9e9/meta/scene.usd filter=lfs diff=lfs merge=lfs -text
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+ 0310_txt_17de706e5564/meta/collider_mesh.glb filter=lfs diff=lfs merge=lfs -text
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0278_txt_66ad30a7f7e6/input.json ADDED
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+ {
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+ "prompt": "This image depicts a utilitarian laundry or utility room with a compact, functional layout. The camera is positioned at a slight downward angle, capturing the top surface of a white washing machine in the foreground, which extends diagonally across the lower frame. The back wall is plain and off-white, with a built-in recessed shelf mounted on the left and a small printed notice affixed to the right. The space feels sparse and institutional, with minimal decoration and a focus on practicality. Lighting appears to be artificial, likely from an overhead fluorescent source, casting even but flat illumination with minimal shadows. The overall atmosphere is mundane and service-oriented, suggesting a shared or commercial laundry area rather than a home setting.\n\n- Washing Machine: A white, rectangular appliance occupying the foreground and lower half of the frame; glossy plastic finish, with a digital display and control panel visible on the bottom right; surface is clean but shows minor scuffs; oriented horizontally with its top lid flat and serving as a temporary surface.\n\n- Laundry Detergent Bottle: A bright orange plastic jug with a blue screw-top cap, positioned on the far right of the washing machine\u2019s top surface; semi-translucent body with embossed grip contours; label partially visible with white and blue graphics; appears full and unused.\n\n- Bounce Dryer Sheet Box: An orange cardboard box with printed branding, sitting slightly left of center on the washing machine; partially open with a single sheet protruding; matte paper surface with glossy printed graphics; shows minor wear at the edges.\n\n- Recessed Wall Shelf: A white, rectangular built-in shelf mounted on the left wall, approximately 18 inches wide and 6 inches deep; smooth, painted drywall finish; appears empty except for a small dark object (possibly a plug or cable end) visible at its far left edge.\n\n- Electrical Outlet: A standard white duplex receptacle mounted on the wall beneath the shelf; black power cord plugged into the lower socket, trailing downward out of frame; plastic housing with minor scuffing.\n\n- Wall Notice: A small rectangular paper sign taped to the right wall; white background with blue horizontal bars and black text; too blurry to read but appears to be instructional or regulatory.\n\n- Wall Surface: Plain off-white painted drywall; smooth and untextured; slight discoloration or smudges visible near the shelf and outlet; evenly lit with no strong shadows or highlights.",
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+ "meta_info": {
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+ "image_pth": "/home/ubuntu/benchmarks/results/SPAR-Bench/46.jpg",
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+ "source": "SPAR-Bench"
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+ }
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+ }
0278_txt_66ad30a7f7e6/tasks/000_closest_object/question_0.json ADDED
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+ {
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+ "type": "closest_object",
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+ "question": "Look at detergent jug (blue point) and cardboard box (red point). Which one appears at a shorter depth from the camera? Calculate or judge based on the 3D center points of these objects. Pick the correct answer.",
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+ "choices": [
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+ "A. detergent jug (blue point)",
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+ "B. cardboard box (red point)"
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+ ],
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+ "answer": "A",
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+ "camera_name": "view_000",
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+ "camera_position": [
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+ ],
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+ "blue": {
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+ "circle_color": "blue",
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+ "label": "detergent jug",
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+ "id": "detergent jug_0",
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+ "centroid": [
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+ -1.9830424785614014,
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+ ],
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+ "length": 0.44307124614715576,
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+ "height": 1.4447364807128906
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+ },
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+ "red": {
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+ "circle_color": "red",
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+ "label": "cardboard box",
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+ "id": "cardboard box_0",
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path": "question_image_0.jpg"
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+ }
0278_txt_66ad30a7f7e6/tasks/000_closest_object/question_1.json ADDED
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1
+ {
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+ "type": "closest_object",
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+ "question": "Which is closer to the camera, washing machine (blue point) or detergent jug (red point)? Calculate or judge based on the 3D center points of these objects. Select the appropriate response from the given choices.",
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+ "choices": [
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+ "A. washing machine (blue point)",
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+ "B. detergent jug (red point)"
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+ ],
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+ "answer": "B",
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+ "camera_name": "view_001",
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+ "blue": {
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+ "circle_color": "blue",
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+ "label": "washing machine",
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+ "length": 1.88623046875,
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+ "height": 0.18094778060913086
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+ },
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+ "red": {
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+ "circle_color": "red",
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+ "label": "detergent jug",
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+ "id": "detergent jug_0",
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+ "centroid": [
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path": "question_image_1.jpg"
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+ }
0278_txt_66ad30a7f7e6/tasks/000_closest_object/question_2.json ADDED
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1
+ {
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+ "type": "closest_object",
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+ "question": "Between washing machine (blue point) and detergent jug (red point), which one is nearer to the camera? Calculate or judge based on the 3D center points of these objects. Choose the correct answer.",
4
+ "choices": [
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+ "A. washing machine (blue point)",
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+ "B. detergent jug (red point)"
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+ ],
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+ "answer": "B",
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+ "camera_name": "view_001",
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+ "camera_position": [
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+ ],
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+ "blue": {
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+ "label": "washing machine",
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+ "id": "washing machine_0",
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+ -2.25563383102417,
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+ ],
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+ "width": 1.227715015411377,
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+ "length": 1.88623046875,
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+ "height": 0.18094778060913086
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+ },
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+ "red": {
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+ "circle_color": "red",
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+ "label": "detergent jug",
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+ "id": "detergent jug_0",
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+ "centroid": [
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+ -0.2838144898414612,
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+ -1.9830424785614014,
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+ -1.1620655059814453
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+ ],
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+ "distance_to_camera": 2.3159024972167606,
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+ "width": 0.595458984375,
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+ "length": 0.44307124614715576,
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+ "height": 1.4447364807128906
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path": "question_image_2.jpg"
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+ }
0278_txt_66ad30a7f7e6/tasks/001_depth_estimation/question_0.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
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+ "question": "What is the depth of the detergent jug (red point)? Calculate or judge based on the 3D center points of these objects. The unit is meter. Answer using a single number and nothing else.",
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+ "answer": "2.22",
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+ "camera_name": "view_000",
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+ "camera_position": [
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+ -0.0,
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+ -0.0,
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+ 0.0
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+ ],
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+ "camera_look_at": [
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+ 0.0,
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+ -9.659257888793945,
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+ -2.5881905555725098
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+ ],
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+ "object": {
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+ "label": "detergent jug",
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+ "id": "detergent jug_0",
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+ "centroid": [
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+ -0.2838144898414612,
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+ -1.9830424785614014,
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+ -1.1620655059814453
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+ ],
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+ "depth": 2.22,
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+ "width": 0.595458984375,
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+ "length": 0.44307124614715576,
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+ "height": 1.4447364807128906
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path": "question_image_0.jpg"
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+ }
0278_txt_66ad30a7f7e6/tasks/001_depth_estimation/question_1.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "type": "depth_estimation",
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+ "question": "Estimate the depth in meters of the cardboard box (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
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+ "answer": "2.99",
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+ "camera_name": "view_011",
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+ "camera_position": [
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+ -0.0,
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+ -0.0,
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+ 0.0
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+ ],
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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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+ ],
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+ "object": {
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+ "label": "cardboard box",
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+ "id": "cardboard box_0",
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+ "centroid": [
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+ -1.1753697395324707,
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+ -2.429114580154419,
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+ -1.5176124572753906
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+ ],
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+ "depth": 2.99,
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+ "width": 0.8018264770507812,
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+ "length": 0.9734573364257812,
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+ "height": 0.7832717895507812
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path": "question_image_1.jpg"
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+ }
0278_txt_66ad30a7f7e6/tasks/001_depth_estimation/question_2.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
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+ "question": "Report the depth of the washing machine (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "2.71",
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+ "camera_name": "view_000",
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+ "camera_position": [
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+ -0.0,
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+ -0.0,
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+ 0.0
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+ ],
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+ "camera_look_at": [
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+ 0.0,
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+ -9.659257888793945,
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+ -2.5881905555725098
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+ ],
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+ "object": {
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+ "label": "washing machine",
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+ "id": "washing machine_0",
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+ "centroid": [
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+ 0.5705171823501587,
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+ -2.25563383102417,
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+ -2.0340774059295654
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+ ],
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+ "depth": 2.71,
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+ "width": 1.227715015411377,
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+ "length": 1.88623046875,
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+ "height": 0.18094778060913086
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path": "question_image_2.jpg"
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+ }
0278_txt_66ad30a7f7e6/tasks/001_depth_estimation/question_3.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Estimate the depth in meters of the washing machine (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
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+ "answer": "2.69",
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+ "camera_name": "view_001",
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+ "camera_position": [
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+ -0.0,
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+ -0.0,
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+ 0.0
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+ ],
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+ 4.829628944396973,
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+ -8.36516284942627,
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+ -2.5881905555725098
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+ ],
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+ "object": {
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+ "label": "washing machine",
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+ "id": "washing machine_0",
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+ "centroid": [
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+ 0.5705171823501587,
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+ -2.25563383102417,
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+ -2.0340774059295654
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+ ],
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+ "depth": 2.69,
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+ "width": 1.227715015411377,
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+ "length": 1.88623046875,
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+ "height": 0.18094778060913086
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path": "question_image_3.jpg"
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+ }
0278_txt_66ad30a7f7e6/tasks/001_depth_estimation/question_4.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "type": "depth_estimation",
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+ "question": "What is the distance along the camera's viewing direction to the detergent jug (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
4
+ "answer": "1.82",
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+ "camera_name": "view_001",
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+ "camera_position": [
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+ -0.0,
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+ -0.0,
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+ 0.0
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+ ],
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+ "camera_look_at": [
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+ -8.36516284942627,
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+ -2.5881905555725098
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+ ],
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+ "object": {
17
+ "label": "detergent jug",
18
+ "id": "detergent jug_0",
19
+ "centroid": [
20
+ -0.2838144898414612,
21
+ -1.9830424785614014,
22
+ -1.1620655059814453
23
+ ],
24
+ "depth": 1.82,
25
+ "width": 0.595458984375,
26
+ "length": 0.44307124614715576,
27
+ "height": 1.4447364807128906
28
+ },
29
+ "scene_id": "0278_txt_66ad30a7f7e6",
30
+ "layout_path": null,
31
+ "image_path": "question_image_4.jpg"
32
+ }
0278_txt_66ad30a7f7e6/tasks/001_depth_estimation/question_5.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Report the depth of the cardboard box (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "2.99",
5
+ "camera_name": "view_011",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ -4.829628944396973,
13
+ -8.36516284942627,
14
+ -2.5881905555725098
15
+ ],
16
+ "object": {
17
+ "label": "cardboard box",
18
+ "id": "cardboard box_0",
19
+ "centroid": [
20
+ -1.1753697395324707,
21
+ -2.429114580154419,
22
+ -1.5176124572753906
23
+ ],
24
+ "depth": 2.99,
25
+ "width": 0.8018264770507812,
26
+ "length": 0.9734573364257812,
27
+ "height": 0.7832717895507812
28
+ },
29
+ "scene_id": "0278_txt_66ad30a7f7e6",
30
+ "layout_path": null,
31
+ "image_path": "question_image_5.jpg"
32
+ }
0278_txt_66ad30a7f7e6/tasks/002_distance_estimation/question_0.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Estimate the 3D distance in meters between the camera and the cardboard box (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "3.1",
5
+ "camera_name": "view_011",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ -4.829628944396973,
13
+ -8.36516284942627,
14
+ -2.5881905555725098
15
+ ],
16
+ "object": {
17
+ "label": "cardboard box",
18
+ "id": "cardboard box_0",
19
+ "centroid": [
20
+ -1.1753697395324707,
21
+ -2.429114580154419,
22
+ -1.5176124572753906
23
+ ],
24
+ "distance": 3.0960037530023854,
25
+ "width": 0.8018264770507812,
26
+ "length": 0.9734573364257812,
27
+ "height": 0.7832717895507812
28
+ },
29
+ "scene_id": "0278_txt_66ad30a7f7e6",
30
+ "layout_path": null,
31
+ "image_path": "question_image_0.jpg"
32
+ }
0278_txt_66ad30a7f7e6/tasks/002_distance_estimation/question_1.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "What is the spatial distance from the observer to the detergent jug (red point) in meters? Calculate or judge based on the 3D center points of these objects. Reply with a number.",
4
+ "answer": "2.32",
5
+ "camera_name": "view_011",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ -4.829628944396973,
13
+ -8.36516284942627,
14
+ -2.5881905555725098
15
+ ],
16
+ "object": {
17
+ "label": "detergent jug",
18
+ "id": "detergent jug_0",
19
+ "centroid": [
20
+ -0.2838144898414612,
21
+ -1.9830424785614014,
22
+ -1.1620655059814453
23
+ ],
24
+ "distance": 2.3159024972167606,
25
+ "width": 0.595458984375,
26
+ "length": 0.44307124614715576,
27
+ "height": 1.4447364807128906
28
+ },
29
+ "scene_id": "0278_txt_66ad30a7f7e6",
30
+ "layout_path": null,
31
+ "image_path": "question_image_1.jpg"
32
+ }
0278_txt_66ad30a7f7e6/tasks/002_distance_estimation/question_2.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Determine how many meters separate the camera from the center of the detergent jug (red point). Calculate or judge based on the 3D center points of these objects. Provide a single number.",
4
+ "answer": "2.32",
5
+ "camera_name": "view_000",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ 0.0,
13
+ -9.659257888793945,
14
+ -2.5881905555725098
15
+ ],
16
+ "object": {
17
+ "label": "detergent jug",
18
+ "id": "detergent jug_0",
19
+ "centroid": [
20
+ -0.2838144898414612,
21
+ -1.9830424785614014,
22
+ -1.1620655059814453
23
+ ],
24
+ "distance": 2.3159024972167606,
25
+ "width": 0.595458984375,
26
+ "length": 0.44307124614715576,
27
+ "height": 1.4447364807128906
28
+ },
29
+ "scene_id": "0278_txt_66ad30a7f7e6",
30
+ "layout_path": null,
31
+ "image_path": "question_image_2.jpg"
32
+ }
0278_txt_66ad30a7f7e6/tasks/002_distance_estimation/question_3.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Report the distance in meters from the camera to the washing machine (red point). Calculate or judge based on the 3D center points of these objects. State a single number.",
4
+ "answer": "3.09",
5
+ "camera_name": "view_001",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ 4.829628944396973,
13
+ -8.36516284942627,
14
+ -2.5881905555725098
15
+ ],
16
+ "object": {
17
+ "label": "washing machine",
18
+ "id": "washing machine_0",
19
+ "centroid": [
20
+ 0.5705171823501587,
21
+ -2.25563383102417,
22
+ -2.0340774059295654
23
+ ],
24
+ "distance": 3.0904440988846065,
25
+ "width": 1.227715015411377,
26
+ "length": 1.88623046875,
27
+ "height": 0.18094778060913086
28
+ },
29
+ "scene_id": "0278_txt_66ad30a7f7e6",
30
+ "layout_path": null,
31
+ "image_path": "question_image_3.jpg"
32
+ }
0278_txt_66ad30a7f7e6/tasks/002_distance_estimation/question_4.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "How far is the washing machine (red point) from the camera in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
4
+ "answer": "3.09",
5
+ "camera_name": "view_001",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ 4.829628944396973,
13
+ -8.36516284942627,
14
+ -2.5881905555725098
15
+ ],
16
+ "object": {
17
+ "label": "washing machine",
18
+ "id": "washing machine_0",
19
+ "centroid": [
20
+ 0.5705171823501587,
21
+ -2.25563383102417,
22
+ -2.0340774059295654
23
+ ],
24
+ "distance": 3.0904440988846065,
25
+ "width": 1.227715015411377,
26
+ "length": 1.88623046875,
27
+ "height": 0.18094778060913086
28
+ },
29
+ "scene_id": "0278_txt_66ad30a7f7e6",
30
+ "layout_path": null,
31
+ "image_path": "question_image_4.jpg"
32
+ }
0278_txt_66ad30a7f7e6/tasks/004_relative_direction/question_0.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "Looking at the image, what is the spatial position of detergent jug (blue bbox) compared to cardboard box (red bbox)? Calculate or judge based on the 3D center points of these objects. Select one option.",
4
+ "choices": [
5
+ "A. left, above, closer",
6
+ "B. right, below, closer",
7
+ "C. right, below, farther",
8
+ "D. right, , "
9
+ ],
10
+ "answer": "A",
11
+ "camera_name": "view_000",
12
+ "camera_position": [
13
+ -0.0,
14
+ -0.0,
15
+ 0.0
16
+ ],
17
+ "camera_look_at": [
18
+ 0.0,
19
+ -9.659257888793945,
20
+ -2.5881905555725098
21
+ ],
22
+ "blue": {
23
+ "circle_color": "blue",
24
+ "label": "detergent jug",
25
+ "id": "detergent jug_0",
26
+ "centroid": [
27
+ -0.2838144898414612,
28
+ -1.9830424785614014,
29
+ -1.1620655059814453
30
+ ],
31
+ "distance_to_camera": 2.3159024972167606,
32
+ "width": 0.595458984375,
33
+ "length": 0.44307124614715576,
34
+ "height": 1.4447364807128906
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "cardboard box",
39
+ "id": "cardboard box_0",
40
+ "centroid": [
41
+ -1.1753697395324707,
42
+ -2.429114580154419,
43
+ -1.5176124572753906
44
+ ],
45
+ "distance_to_camera": 3.0960037530023854,
46
+ "width": 0.8018264770507812,
47
+ "length": 0.9734573364257812,
48
+ "height": 0.7832717895507812
49
+ },
50
+ "scene_id": "0278_txt_66ad30a7f7e6",
51
+ "layout_path": null,
52
+ "image_path": "question_image_0.jpg"
53
+ }
0278_txt_66ad30a7f7e6/tasks/004_relative_direction/question_1.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "Determine the relative direction of washing machine (blue bbox) from detergent jug (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, farther",
7
+ "C. left, above, farther",
8
+ "D. left, above, "
9
+ ],
10
+ "answer": "A",
11
+ "camera_name": "view_001",
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": "washing machine",
25
+ "id": "washing machine_0",
26
+ "centroid": [
27
+ 0.5705171823501587,
28
+ -2.25563383102417,
29
+ -2.0340774059295654
30
+ ],
31
+ "distance_to_camera": 3.0904440988846065,
32
+ "width": 1.227715015411377,
33
+ "length": 1.88623046875,
34
+ "height": 0.18094778060913086
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "detergent jug",
39
+ "id": "detergent jug_0",
40
+ "centroid": [
41
+ -0.2838144898414612,
42
+ -1.9830424785614014,
43
+ -1.1620655059814453
44
+ ],
45
+ "distance_to_camera": 2.3159024972167606,
46
+ "width": 0.595458984375,
47
+ "length": 0.44307124614715576,
48
+ "height": 1.4447364807128906
49
+ },
50
+ "scene_id": "0278_txt_66ad30a7f7e6",
51
+ "layout_path": null,
52
+ "image_path": "question_image_1.jpg"
53
+ }
0278_txt_66ad30a7f7e6/tasks/004_relative_direction/question_2.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "relative_direction",
3
+ "question": "Considering the camera's viewpoint, what is the direction of detergent jug (blue bbox) from cardboard box (red bbox)? Calculate or judge based on the 3D center points of these objects. Choose from the options.",
4
+ "choices": [
5
+ "A. right, , closer",
6
+ "B. left, above, closer",
7
+ "C. left, , farther",
8
+ "D. , , "
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": "detergent jug",
25
+ "id": "detergent jug_0",
26
+ "centroid": [
27
+ -0.2838144898414612,
28
+ -1.9830424785614014,
29
+ -1.1620655059814453
30
+ ],
31
+ "distance_to_camera": 2.3159024972167606,
32
+ "width": 0.595458984375,
33
+ "length": 0.44307124614715576,
34
+ "height": 1.4447364807128906
35
+ },
36
+ "red": {
37
+ "circle_color": "red",
38
+ "label": "cardboard box",
39
+ "id": "cardboard box_0",
40
+ "centroid": [
41
+ -1.1753697395324707,
42
+ -2.429114580154419,
43
+ -1.5176124572753906
44
+ ],
45
+ "distance_to_camera": 3.0960037530023854,
46
+ "width": 0.8018264770507812,
47
+ "length": 0.9734573364257812,
48
+ "height": 0.7832717895507812
49
+ },
50
+ "scene_id": "0278_txt_66ad30a7f7e6",
51
+ "layout_path": null,
52
+ "image_path": "question_image_2.jpg"
53
+ }
0278_txt_66ad30a7f7e6/tasks/005_camera_object_position/question_0.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_object_position",
3
+ "question": "How is object detergent jug (bbox) situated with respect to the observer's main 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, below, front",
6
+ "B. , , behind",
7
+ "C. right, below, ",
8
+ "D. , , front"
9
+ ],
10
+ "answer": "A",
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
+ "object": {
23
+ "label": "detergent jug",
24
+ "id": "detergent jug_0",
25
+ "centroid": [
26
+ -0.2838144898414612,
27
+ -1.9830424785614014,
28
+ -1.1620655059814453
29
+ ],
30
+ "image_u": 0.295,
31
+ "image_v": 0.813,
32
+ "width": 0.595458984375,
33
+ "length": 0.44307124614715576,
34
+ "height": 1.4447364807128906
35
+ },
36
+ "scene_id": "0278_txt_66ad30a7f7e6",
37
+ "layout_path": null,
38
+ "image_path": "question_image_0.jpg"
39
+ }
0278_txt_66ad30a7f7e6/tasks/005_camera_object_position/question_1.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_object_position",
3
+ "question": "Considering the observer's view, describe the location of detergent jug (bbox). Calculate or judge based on the 3D center points of these objects. Choose the right answer.",
4
+ "choices": [
5
+ "A. right, below, front",
6
+ "B. left, below, behind",
7
+ "C. left, above, behind",
8
+ "D. left, , front"
9
+ ],
10
+ "answer": "A",
11
+ "camera_name": "view_001",
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
+ "object": {
23
+ "label": "detergent jug",
24
+ "id": "detergent jug_0",
25
+ "centroid": [
26
+ -0.2838144898414612,
27
+ -1.9830424785614014,
28
+ -1.1620655059814453
29
+ ],
30
+ "image_u": 0.89,
31
+ "image_v": 0.901,
32
+ "width": 0.595458984375,
33
+ "length": 0.44307124614715576,
34
+ "height": 1.4447364807128906
35
+ },
36
+ "scene_id": "0278_txt_66ad30a7f7e6",
37
+ "layout_path": null,
38
+ "image_path": "question_image_1.jpg"
39
+ }
0278_txt_66ad30a7f7e6/tasks/005_camera_object_position/question_2.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_object_position",
3
+ "question": "What is the spatial position of cardboard box (bbox) from the observer's main viewing angle? Calculate or judge based on the 3D center points of these objects. Select one option.",
4
+ "choices": [
5
+ "A. right, , ",
6
+ "B. right, below, ",
7
+ "C. right, below, front",
8
+ "D. , , behind"
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "view_000",
12
+ "camera_position": [
13
+ -0.0,
14
+ -0.0,
15
+ 0.0
16
+ ],
17
+ "camera_look_at": [
18
+ 0.0,
19
+ -9.659257888793945,
20
+ -2.5881905555725098
21
+ ],
22
+ "object": {
23
+ "label": "cardboard box",
24
+ "id": "cardboard box_0",
25
+ "centroid": [
26
+ -1.1753697395324707,
27
+ -2.429114580154419,
28
+ -1.5176124572753906
29
+ ],
30
+ "image_u": 0.747,
31
+ "image_v": 0.813,
32
+ "width": 0.8018264770507812,
33
+ "length": 0.9734573364257812,
34
+ "height": 0.7832717895507812
35
+ },
36
+ "scene_id": "0278_txt_66ad30a7f7e6",
37
+ "layout_path": null,
38
+ "image_path": "question_image_2.jpg"
39
+ }
0278_txt_66ad30a7f7e6/tasks/005_camera_object_position/question_3.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_object_position",
3
+ "question": "From the observer's perspective, in which part of the view is cardboard box (bbox) positioned? Calculate or judge based on the 3D center points of these objects. Pick the right option.",
4
+ "choices": [
5
+ "A. , , ",
6
+ "B. left, below, front",
7
+ "C. right, below, front",
8
+ "D. , below, front"
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "view_000",
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+ "camera_position": [
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+ -0.0,
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+ -0.0,
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+ 0.0
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+ ],
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+ "camera_look_at": [
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+ 0.0,
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+ -9.659257888793945,
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+ -2.5881905555725098
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+ ],
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+ "object": {
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+ "label": "cardboard box",
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+ "id": "cardboard box_0",
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+ "centroid": [
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+ -1.1753697395324707,
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+ -2.429114580154419,
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+ -1.5176124572753906
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+ ],
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+ "image_u": 0.747,
31
+ "image_v": 0.813,
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+ "width": 0.8018264770507812,
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+ "length": 0.9734573364257812,
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+ "height": 0.7832717895507812
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+ },
36
+ "scene_id": "0278_txt_66ad30a7f7e6",
37
+ "layout_path": null,
38
+ "image_path": "question_image_3.jpg"
39
+ }
0278_txt_66ad30a7f7e6/tasks/007_object_size/question_0.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_size",
3
+ "question": "Report the largest dimension of the detergent jug in centimeters.",
4
+ "answer": "144.0",
5
+ "camera_name": "view_000",
6
+ "camera_position": [
7
+ -0.0,
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+ -0.0,
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+ 0.0
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+ ],
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+ "camera_look_at": [
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+ 0.0,
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+ -9.659257888793945,
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+ -2.5881905555725098
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+ ],
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+ "object": {
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+ "label": "detergent jug",
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+ "id": "detergent jug_0",
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+ "centroid": [
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+ -0.2838144898414612,
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+ -1.9830424785614014,
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+ -1.1620655059814453
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+ ],
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+ "width": 0.595458984375,
25
+ "length": 0.44307124614715576,
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+ "height": 1.4447364807128906
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
29
+ "layout_path": null,
30
+ "image_path": "question_image_0.jpg"
31
+ }
0278_txt_66ad30a7f7e6/tasks/007_object_size/question_1.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_size",
3
+ "question": "How long is the largest dimension of the cardboard box in centimeters?",
4
+ "answer": "97.0",
5
+ "camera_name": "view_010",
6
+ "camera_position": [
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+ -0.0,
8
+ -0.0,
9
+ 0.0
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+ ],
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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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+ "object": {
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+ "label": "cardboard box",
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+ "id": "cardboard box_0",
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+ "centroid": [
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+ -1.1753697395324707,
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+ -2.429114580154419,
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+ -1.5176124572753906
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+ ],
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+ "width": 0.8018264770507812,
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+ "length": 0.9734573364257812,
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+ "height": 0.7832717895507812
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path": "question_image_1.jpg"
31
+ }
0278_txt_66ad30a7f7e6/tasks/007_object_size/question_2.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_size",
3
+ "question": "Determine the longest edge of the cardboard box in centimeters (length, width, or height).",
4
+ "answer": "97.0",
5
+ "camera_name": "view_010",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
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+ 0.0
10
+ ],
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+ "camera_look_at": [
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+ -2.5881905555725098
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+ ],
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+ "object": {
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+ "label": "cardboard box",
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+ "id": "cardboard box_0",
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+ "centroid": [
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+ -2.429114580154419,
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+ -1.5176124572753906
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+ ],
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+ "width": 0.8018264770507812,
25
+ "length": 0.9734573364257812,
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+ "height": 0.7832717895507812
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+ },
28
+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path": "question_image_2.jpg"
31
+ }
0278_txt_66ad30a7f7e6/tasks/007_object_size/question_3.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_size",
3
+ "question": "Among the length, width, and height of the washing machine, which is the longest? Answer in centimeters.",
4
+ "answer": "189.0",
5
+ "camera_name": "view_001",
6
+ "camera_position": [
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+ -0.0,
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+ -0.0,
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+ 0.0
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+ "camera_look_at": [
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+ -8.36516284942627,
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+ -2.5881905555725098
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+ ],
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+ "object": {
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+ "label": "washing machine",
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+ "id": "washing machine_0",
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+ "centroid": [
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+ 0.5705171823501587,
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+ -2.25563383102417,
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+ -2.0340774059295654
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+ ],
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+ "width": 1.227715015411377,
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+ "length": 1.88623046875,
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+ "height": 0.18094778060913086
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path": "question_image_3.jpg"
31
+ }
0278_txt_66ad30a7f7e6/tasks/007_object_size/question_4.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_size",
3
+ "question": "What is the maximum dimension of the washing machine in centimeters?",
4
+ "answer": "189.0",
5
+ "camera_name": "view_000",
6
+ "camera_position": [
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+ -0.0,
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+ -0.0,
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+ "object": {
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+ "label": "washing machine",
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+ "id": "washing machine_0",
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+ "centroid": [
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+ 0.5705171823501587,
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+ -2.25563383102417,
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+ -2.0340774059295654
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+ ],
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+ "width": 1.227715015411377,
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+ "length": 1.88623046875,
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+ "height": 0.18094778060913086
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
30
+ "image_path": "question_image_4.jpg"
31
+ }
0278_txt_66ad30a7f7e6/tasks/007_object_size/question_5.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_size",
3
+ "question": "How long is the largest dimension of the detergent jug in centimeters?",
4
+ "answer": "144.0",
5
+ "camera_name": "view_011",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
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+ 0.0
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+ -8.36516284942627,
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+ -2.5881905555725098
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+ ],
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+ "object": {
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+ "label": "detergent jug",
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+ "id": "detergent jug_0",
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+ "centroid": [
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+ -1.9830424785614014,
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+ -1.1620655059814453
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+ ],
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+ "width": 0.595458984375,
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+ "length": 0.44307124614715576,
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+ "height": 1.4447364807128906
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path": "question_image_5.jpg"
31
+ }
0278_txt_66ad30a7f7e6/tasks/010_object_grounding/question_0.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_grounding",
3
+ "question": "Identify where the cardboard box is in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1)], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations of the points in the image.",
4
+ "answer": "[(0.743, 0.169), (0.97, 0.978), (0.484, 0.625), (0.88, 0.031), (0.319, 0.049), (0.473, 0.636), (0.809, 0.613), (0.924, 0.033), (0.401, 0.691), (0.988, 0.094), (0.819, 0.241), (0.353, 0.289), (0.168, 0.146), (0.382, 0.417), (0.819, 0.031), (0.521, 0.865)]",
5
+ "camera_name": "view_011",
6
+ "camera_position": [
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+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
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+ "camera_look_at": [
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+ -8.36516284942627,
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+ -2.5881905555725098
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+ ],
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+ "object": {
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+ "label": "cardboard box",
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+ "id": "cardboard box_0",
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+ "centroid": [
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+ -2.429114580154419,
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+ "image_u": 0.462,
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+ "image_v": 0.763,
26
+ "width": 0.8018264770507812,
27
+ "length": 0.9734573364257812,
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+ "height": 0.7832717895507812
29
+ },
30
+ "scene_id": "0278_txt_66ad30a7f7e6",
31
+ "layout_path": null,
32
+ "image_path": "question_image_0.jpg",
33
+ "ground_truth_mask": "question_mask_0.png"
34
+ }
0278_txt_66ad30a7f7e6/tasks/010_object_grounding/question_1.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_grounding",
3
+ "question": "Identify where the cardboard box is in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1)], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations of the points in the image.",
4
+ "answer": "[(0.003, 0.655), (0.113, 0.485), (0.643, 0.936), (0.374, 0.852), (0.39, 0.377), (0.333, 0.228), (0.514, 0.74), (0.772, 0.503), (0.902, 0.07), (0.167, 0.302), (0.594, 0.878), (0.744, 0.704), (0.947, 0.778), (0.349, 0.544), (0.464, 0.556), (0.59, 0.583)]",
5
+ "camera_name": "view_010",
6
+ "camera_position": [
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8
+ -0.0,
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+ 0.0
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+ -2.5881905555725098
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+ ],
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+ "object": {
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+ "label": "cardboard box",
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+ "id": "cardboard box_0",
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+ "centroid": [
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+ "image_v": 0.856,
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+ "length": 0.9734573364257812,
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+ },
30
+ "scene_id": "0278_txt_66ad30a7f7e6",
31
+ "layout_path": null,
32
+ "image_path": "question_image_1.jpg",
33
+ "ground_truth_mask": "question_mask_1.png"
34
+ }
0278_txt_66ad30a7f7e6/tasks/010_object_grounding/question_2.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_grounding",
3
+ "question": "Identify where the detergent jug is in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1)], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations of the points in the image.",
4
+ "answer": "[(0.335, 0.683), (0.357, 0.648), (0.385, 0.801), (0.3, 0.786), (0.319, 0.621), (0.237, 0.878), (0.294, 0.694), (0.36, 0.885), (0.36, 0.625), (0.289, 0.585), (0.24, 0.69), (0.377, 0.87), (0.316, 0.903), (0.251, 0.753), (0.231, 0.726), (0.302, 0.752)]",
5
+ "camera_name": "view_011",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
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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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+ ],
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+ "object": {
17
+ "label": "detergent jug",
18
+ "id": "detergent jug_0",
19
+ "centroid": [
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+ -0.2838144898414612,
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+ -1.9830424785614014,
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+ -1.1620655059814453
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+ ],
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+ "image_u": 0.295,
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+ "image_v": 0.813,
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+ "width": 0.595458984375,
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+ "length": 0.44307124614715576,
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+ "height": 1.4447364807128906
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+ },
30
+ "scene_id": "0278_txt_66ad30a7f7e6",
31
+ "layout_path": null,
32
+ "image_path": "question_image_2.jpg",
33
+ "ground_truth_mask": "question_mask_2.png"
34
+ }
0278_txt_66ad30a7f7e6/tasks/010_object_grounding/question_3.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_grounding",
3
+ "question": "Point to the washing machine in this image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1)], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations of the points in the image.",
4
+ "answer": "[(0.32, 0.952), (0.329, 0.976), (0.442, 0.825), (0.471, 0.805), (0.424, 0.924), (0.359, 0.965), (0.292, 0.94), (0.34, 0.894), (0.311, 0.942), (0.447, 0.839), (0.356, 0.966), (0.392, 0.933), (0.291, 0.908), (0.38, 0.983), (0.364, 0.852), (0.468, 0.893)]",
5
+ "camera_name": "view_000",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
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+ 0.0,
13
+ -9.659257888793945,
14
+ -2.5881905555725098
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+ ],
16
+ "object": {
17
+ "label": "washing machine",
18
+ "id": "washing machine_0",
19
+ "centroid": [
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+ 0.5705171823501587,
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+ -2.25563383102417,
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+ -2.0340774059295654
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+ ],
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+ "image_u": 0.379,
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+ "image_v": 1.022,
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+ "width": 1.227715015411377,
27
+ "length": 1.88623046875,
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+ "height": 0.18094778060913086
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+ },
30
+ "scene_id": "0278_txt_66ad30a7f7e6",
31
+ "layout_path": null,
32
+ "image_path": "question_image_3.jpg",
33
+ "ground_truth_mask": "question_mask_3.png"
34
+ }
0278_txt_66ad30a7f7e6/tasks/010_object_grounding/question_4.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_grounding",
3
+ "question": "Identify where the washing machine is in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1)], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations of the points in the image.",
4
+ "answer": "[(0.698, 0.963), (0.472, 0.988), (0.669, 0.97), (0.495, 0.926), (0.421, 0.932), (0.745, 0.996), (0.658, 0.829), (0.447, 0.92), (0.669, 0.835), (0.715, 0.776), (0.596, 0.905), (0.563, 0.865), (0.519, 0.878), (0.734, 0.909), (0.642, 0.929), (0.56, 0.933)]",
5
+ "camera_name": "view_001",
6
+ "camera_position": [
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+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
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+ -8.36516284942627,
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+ -2.5881905555725098
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+ ],
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+ "object": {
17
+ "label": "washing machine",
18
+ "id": "washing machine_0",
19
+ "centroid": [
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+ -2.25563383102417,
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+ -2.0340774059295654
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+ "image_u": 0.636,
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+ "image_v": 1.027,
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+ "width": 1.227715015411377,
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+ "length": 1.88623046875,
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+ "height": 0.18094778060913086
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+ },
30
+ "scene_id": "0278_txt_66ad30a7f7e6",
31
+ "layout_path": null,
32
+ "image_path": "question_image_4.jpg",
33
+ "ground_truth_mask": "question_mask_4.png"
34
+ }
0278_txt_66ad30a7f7e6/tasks/012_camera_facing_direction/question_0.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_facing_direction",
3
+ "question": "If camera A is oriented toward East, what direction does camera B face?",
4
+ "choices": [
5
+ "A. North",
6
+ "B. East",
7
+ "C. South",
8
+ "D. West"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "view_011_edge_right",
13
+ "position": [
14
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15
+ -0.7244443576337862,
16
+ 0.0
17
+ ],
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+ "look_at": [
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+ -9.089607207060055,
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+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "view_002_edge_left",
26
+ "position": [
27
+ -0.7244443576337862,
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+ -1.2547744550821367,
29
+ 0.0
30
+ ],
31
+ "look_at": [
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+ 7.640718491792483,
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+ -6.084403399479109,
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+ -2.5881905555725098
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+ ]
36
+ },
37
+ "scene_id": "0278_txt_66ad30a7f7e6",
38
+ "layout_path": null,
39
+ "image_path_a": "question_image_0_a.jpg",
40
+ "image_path_b": "question_image_0_b.jpg"
41
+ }
0278_txt_66ad30a7f7e6/tasks/012_camera_facing_direction/question_1.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_facing_direction",
3
+ "question": "If camera A is oriented toward West, what direction does camera B face?",
4
+ "choices": [
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+ "A. North",
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+ "B. East",
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+ "C. South",
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+ "D. West"
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+ ],
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+ "answer": "A",
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+ "camera_a": {
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+ "name": "view_000_edge_right",
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+ "position": [
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+ -0.0,
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+ },
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+ "camera_b": {
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+ "name": "view_003_edge_left",
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+ "position": [
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+ -8.871884796009223e-17,
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+ -1.4488887317541186,
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path_a": "question_image_1_a.jpg",
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+ "image_path_b": "question_image_1_b.jpg"
41
+ }
0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_0.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_motion",
3
+ "question": "Comparing these sequential first-person images, in which direction has the camera moved?",
4
+ "choices": [
5
+ "A. Forward",
6
+ "B. Left",
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+ "C. Right",
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+ "D. Back"
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+ ],
10
+ "answer": "C",
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+ "camera_a": {
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+ "name": "view_000",
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+ "position": [
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+ -0.0,
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+ -0.0,
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+ 0.0
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+ },
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+ "camera_b": {
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+ "name": "view_000_step_right",
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+ "position": [
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+ 1.0,
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+ -0.0,
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+ 0.0
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+ ],
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+ "look_at": [
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+ 1.0,
33
+ -9.659257888793945,
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+ -2.5881905555725098
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+ ],
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+ "step_direction": "right"
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path_a": "question_image_0_a.jpg",
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+ "image_path_b": "question_image_0_b.jpg"
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+ }
0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_1.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_motion",
3
+ "question": "Comparing these sequential first-person images, in which direction has the camera moved?",
4
+ "choices": [
5
+ "A. Forward",
6
+ "B. Left",
7
+ "C. Right",
8
+ "D. Back"
9
+ ],
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+ "answer": "A",
11
+ "camera_a": {
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+ "name": "view_002",
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+ "position": [
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+ -0.0,
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+ -0.0,
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+ 0.0
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+ ],
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+ "look_at": [
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+ 8.36516284942627,
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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": "view_002_step_forward",
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+ "position": [
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+ -0.8660254073050369,
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+ 0.49999999390214483,
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+ 0.0
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+ 7.499137442121232,
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+ -4.329628950494827,
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+ ],
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+ "step_direction": "forward"
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path_a": "question_image_1_a.jpg",
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+ "image_path_b": "question_image_1_b.jpg"
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+ }
0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_10.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_motion",
3
+ "question": "Determine the direction of camera movement based on these consecutive first-person images.",
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+ "choices": [
5
+ "A. Forward",
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+ "B. Left",
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+ "C. Right",
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+ "D. Back"
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+ "answer": "A",
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+ "camera_a": {
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+ "name": "view_002",
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+ "position": [
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+ -0.0,
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+ ]
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+ },
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+ "camera_b": {
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+ "name": "view_002_step_forward",
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+ "position": [
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+ -0.8660254073050369,
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+ 0.49999999390214483,
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+ 0.0
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+ 7.499137442121232,
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+ -2.5881905555725098
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+ ],
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+ "step_direction": "forward"
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path_a": "question_image_10_a.jpg",
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+ "image_path_b": "question_image_10_b.jpg"
42
+ }
0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_11.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_motion",
3
+ "question": "Comparing these sequential first-person images, in which direction has the camera moved?",
4
+ "choices": [
5
+ "A. Forward",
6
+ "B. Left",
7
+ "C. Right",
8
+ "D. Back"
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+ ],
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+ "answer": "C",
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+ "camera_a": {
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+ "name": "view_002",
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+ "position": [
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+ -0.0,
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+ -0.0,
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+ 0.0
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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": "view_002_step_right",
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+ "position": [
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+ 0.49999999390214483,
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+ 0.8660254073050369,
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+ 0.0
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+ "look_at": [
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+ -3.9636035370919354,
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+ -2.5881905555725098
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+ ],
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+ "step_direction": "right"
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path_a": "question_image_11_a.jpg",
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+ "image_path_b": "question_image_11_b.jpg"
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+ }
0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_12.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_motion",
3
+ "question": "These images capture consecutive moments from a first-person view. Which direction are you heading?",
4
+ "choices": [
5
+ "A. Forward",
6
+ "B. Left",
7
+ "C. Right",
8
+ "D. Back"
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+ ],
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+ "answer": "B",
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+ "camera_a": {
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+ "name": "view_006",
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+ "position": [
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+ -0.0,
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+ 0.0
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+ },
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+ "camera_b": {
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+ "name": "view_006_step_left",
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+ "position": [
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+ 1.0,
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+ 0.0
30
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+ "look_at": [
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+ 1.0000000000000013,
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+ -2.5881905555725098
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+ "step_direction": "left"
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path_a": "question_image_12_a.jpg",
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+ "image_path_b": "question_image_12_b.jpg"
42
+ }
0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_13.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_motion",
3
+ "question": "Comparing these sequential first-person images, in which direction has the camera moved?",
4
+ "choices": [
5
+ "A. Forward",
6
+ "B. Left",
7
+ "C. Right",
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+ "D. Back"
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+ ],
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+ "answer": "A",
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+ "camera_a": {
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+ "name": "view_011",
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+ "position": [
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+ -0.0,
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+ -0.0,
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+ 0.0
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+ "look_at": [
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+ },
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+ "camera_b": {
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+ "name": "view_011_step_forward",
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+ "position": [
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+ 0.49999999390214483,
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+ 0.8660254073050369,
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+ 0.0
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+ "look_at": [
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+ -4.329628950494827,
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+ -7.499137442121232,
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+ -2.5881905555725098
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+ ],
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+ "step_direction": "forward"
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path_a": "question_image_13_a.jpg",
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+ "image_path_b": "question_image_13_b.jpg"
42
+ }
0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_14.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_motion",
3
+ "question": "From the first-person perspective shown in these images, what is the movement direction?",
4
+ "choices": [
5
+ "A. Forward",
6
+ "B. Left",
7
+ "C. Right",
8
+ "D. Back"
9
+ ],
10
+ "answer": "B",
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+ "camera_a": {
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+ "name": "view_009",
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+ "position": [
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+ -0.0,
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+ -0.0,
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+ 0.0
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+ "look_at": [
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+ -2.5881905555725098
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+ },
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+ "camera_b": {
25
+ "name": "view_009_step_left",
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+ "position": [
27
+ 1.8369703202806926e-16,
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+ 1.0,
29
+ 0.0
30
+ ],
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+ "look_at": [
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+ -9.659257888793945,
33
+ 1.0000000000000018,
34
+ -2.5881905555725098
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+ ],
36
+ "step_direction": "left"
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+ },
38
+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
40
+ "image_path_a": "question_image_14_a.jpg",
41
+ "image_path_b": "question_image_14_b.jpg"
42
+ }
0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_15.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_motion",
3
+ "question": "From the first-person perspective shown in these images, what is the movement direction?",
4
+ "choices": [
5
+ "A. Forward",
6
+ "B. Left",
7
+ "C. Right",
8
+ "D. Back"
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+ ],
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+ "answer": "A",
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+ "camera_a": {
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+ "name": "view_006",
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+ "position": [
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+ },
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+ "camera_b": {
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+ "name": "view_006_step_forward",
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+ "position": [
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+ -1.2246468071110394e-16,
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+ -1.0,
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+ 0.0
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+ "look_at": [
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+ 1.0604532525462585e-15,
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+ 8.659257888793945,
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+ -2.5881905555725098
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+ ],
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+ "step_direction": "forward"
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+ },
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+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
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+ "image_path_a": "question_image_15_a.jpg",
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+ "image_path_b": "question_image_15_b.jpg"
42
+ }
0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_16.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_motion",
3
+ "question": "What direction of travel is shown in these sequential first-person images?",
4
+ "choices": [
5
+ "A. Forward",
6
+ "B. Left",
7
+ "C. Right",
8
+ "D. Back"
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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+ -0.0,
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+ "look_at": [
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+ },
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+ "camera_b": {
25
+ "name": "view_003_step_right",
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+ "position": [
27
+ 6.123234035555197e-17,
28
+ 1.0,
29
+ 0.0
30
+ ],
31
+ "look_at": [
32
+ 9.659257888793945,
33
+ 0.9999999999999993,
34
+ -2.5881905555725098
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+ ],
36
+ "step_direction": "right"
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+ },
38
+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
40
+ "image_path_a": "question_image_16_a.jpg",
41
+ "image_path_b": "question_image_16_b.jpg"
42
+ }
0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_17.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_motion",
3
+ "question": "These images capture consecutive moments from a first-person view. Which direction are you heading?",
4
+ "choices": [
5
+ "A. Forward",
6
+ "B. Left",
7
+ "C. Right",
8
+ "D. Back"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
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+ "name": "view_008",
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+ "position": [
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+ -0.0,
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+ -0.0,
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+ 0.0
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+ "look_at": [
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+ },
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+ "camera_b": {
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+ "name": "view_008_step_right",
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+ "position": [
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+ -0.49999999390214483,
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+ "look_at": [
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+ -8.865162843328415,
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+ 3.9636035370919354,
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+ ],
36
+ "step_direction": "right"
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+ },
38
+ "scene_id": "0278_txt_66ad30a7f7e6",
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+ "layout_path": null,
40
+ "image_path_a": "question_image_17_a.jpg",
41
+ "image_path_b": "question_image_17_b.jpg"
42
+ }
0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_18.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_motion",
3
+ "question": "The images are taken continuously from a first-person perspective. In which direction are you moving?",
4
+ "choices": [
5
+ "A. Forward",
6
+ "B. Left",
7
+ "C. Right",
8
+ "D. Back"
9
+ ],
10
+ "answer": "B",
11
+ "camera_a": {
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+ "name": "view_009",
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+ "position": [
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+ -0.0,
15
+ -0.0,
16
+ 0.0
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+ "look_at": [
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+ -9.659257888793945,
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+ 1.774377005765162e-15,
21
+ -2.5881905555725098
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+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "view_009_step_left",
26
+ "position": [
27
+ 1.8369703202806926e-16,
28
+ 1.0,
29
+ 0.0
30
+ ],
31
+ "look_at": [
32
+ -9.659257888793945,
33
+ 1.0000000000000018,
34
+ -2.5881905555725098
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+ ],
36
+ "step_direction": "left"
37
+ },
38
+ "scene_id": "0278_txt_66ad30a7f7e6",
39
+ "layout_path": null,
40
+ "image_path_a": "question_image_18_a.jpg",
41
+ "image_path_b": "question_image_18_b.jpg"
42
+ }
0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_19.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_motion",
3
+ "question": "These images capture consecutive moments from a first-person view. Which direction are you heading?",
4
+ "choices": [
5
+ "A. Forward",
6
+ "B. Left",
7
+ "C. Right",
8
+ "D. Back"
9
+ ],
10
+ "answer": "C",
11
+ "camera_a": {
12
+ "name": "view_011",
13
+ "position": [
14
+ -0.0,
15
+ -0.0,
16
+ 0.0
17
+ ],
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+ "look_at": [
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+ -4.829628944396973,
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+ -8.36516284942627,
21
+ -2.5881905555725098
22
+ ]
23
+ },
24
+ "camera_b": {
25
+ "name": "view_011_step_right",
26
+ "position": [
27
+ 0.8660254073050369,
28
+ -0.49999999390214483,
29
+ 0.0
30
+ ],
31
+ "look_at": [
32
+ -3.9636035370919354,
33
+ -8.865162843328415,
34
+ -2.5881905555725098
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+ ],
36
+ "step_direction": "right"
37
+ },
38
+ "scene_id": "0278_txt_66ad30a7f7e6",
39
+ "layout_path": null,
40
+ "image_path_a": "question_image_19_a.jpg",
41
+ "image_path_b": "question_image_19_b.jpg"
42
+ }
0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_2.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_motion",
3
+ "question": "These sequential images show a first-person view. What direction is the camera moving?",
4
+ "choices": [
5
+ "A. Forward",
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0278_txt_66ad30a7f7e6/tasks/013_camera_motion/question_20.json ADDED
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