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  1. 0215_txt_b795804f80d4/input.json +7 -0
  2. 0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_12.json +53 -0
  3. 0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_13.json +53 -0
  4. 0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_19.json +53 -0
  5. 0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_28.json +53 -0
  6. 0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_3.json +53 -0
  7. 0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_30.json +53 -0
  8. 0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_32.json +53 -0
  9. 0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_34.json +53 -0
  10. 0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_5.json +53 -0
  11. 0239_txt_b72ba4077d48/meta/.cache_manifest.json +7 -0
  12. 0239_txt_b72ba4077d48/meta/camera_filter.json +16 -0
  13. 0239_txt_b72ba4077d48/meta/dimension_filter.json +9 -0
  14. 0239_txt_b72ba4077d48/meta/label_filter.json +12 -0
  15. 0239_txt_b72ba4077d48/meta/scene.json +0 -0
  16. 0239_txt_b72ba4077d48/meta/segmentation/filtered_objects_v3.json +27 -0
  17. 0239_txt_b72ba4077d48/meta/segmentation/instance_info.json +737 -0
  18. 0239_txt_b72ba4077d48/meta/segmentation/instance_masks/manifest.json +5 -0
  19. 0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_000_labels.json +1 -0
  20. 0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_001_labels.json +1 -0
  21. 0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_002_labels.json +1 -0
  22. 0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_003_labels.json +1 -0
  23. 0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_004_labels.json +1 -0
  24. 0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_005_labels.json +1 -0
  25. 0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_006_labels.json +1 -0
  26. 0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_007_labels.json +1 -0
  27. 0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_008_labels.json +1 -0
  28. 0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_009_labels.json +1 -0
  29. 0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_010_labels.json +1 -0
  30. 0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_011_labels.json +1 -0
  31. 0239_txt_b72ba4077d48/meta/segmentation/object_lists.json +224 -0
  32. 0239_txt_b72ba4077d48/meta/segmentation/postprocess.done +0 -0
  33. 0239_txt_b72ba4077d48/meta/segmentation/scene.json +631 -0
  34. 0239_txt_b72ba4077d48/meta/segmentation/views/cameras.json +614 -0
  35. 0239_txt_b72ba4077d48/meta/visibility.json +1974 -0
  36. 0239_txt_b72ba4077d48/meta/world_full.json +41 -0
  37. 0239_txt_b72ba4077d48/meta/world_metadata.json +53 -0
  38. 0239_txt_b72ba4077d48/tasks/000_closest_object/question_image_0.jpg +3 -0
  39. 0239_txt_b72ba4077d48/tasks/000_closest_object/question_image_1.jpg +3 -0
  40. 0239_txt_b72ba4077d48/tasks/000_closest_object/question_image_10.jpg +3 -0
  41. 0239_txt_b72ba4077d48/tasks/000_closest_object/question_image_11.jpg +3 -0
  42. 0239_txt_b72ba4077d48/tasks/000_closest_object/question_image_12.jpg +3 -0
  43. 0239_txt_b72ba4077d48/tasks/000_closest_object/question_image_13.jpg +3 -0
  44. 0239_txt_b72ba4077d48/tasks/000_closest_object/question_image_14.jpg +3 -0
  45. 0239_txt_b72ba4077d48/tasks/000_closest_object/question_image_15.jpg +3 -0
  46. 0239_txt_b72ba4077d48/tasks/000_closest_object/question_image_16.jpg +3 -0
  47. 0239_txt_b72ba4077d48/tasks/000_closest_object/question_image_17.jpg +3 -0
  48. 0239_txt_b72ba4077d48/tasks/000_closest_object/question_image_18.jpg +3 -0
  49. 0239_txt_b72ba4077d48/tasks/000_closest_object/question_image_19.jpg +3 -0
  50. 0239_txt_b72ba4077d48/tasks/000_closest_object/question_image_2.jpg +3 -0
0215_txt_b795804f80d4/input.json ADDED
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+ {
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+ "prompt": "This is a compact, modern residential kitchen corner, viewed from a slightly elevated, angled perspective that captures the L-shaped countertop and cabinetry arrangement. The space feels functional and minimalist, with clean lines and neutral tones dominating the palette. The camera is positioned near the edge of the counter, looking diagonally across the corner toward the far wall, which features a small window letting in natural light. The layout is tight but efficient, with appliances and storage integrated into the cabinetry.\n\nThe countertop is a smooth, matte-finish dark gray laminate or quartz composite, contrasting sharply with the glossy white flat-panel cabinet doors below. The cabinets have slim, brushed stainless steel handles that run vertically along the rightmost door. A white dishwasher with a control panel and digital display occupies the left side of the frame, its front flush with the cabinetry. On the countertop sits a black plastic and stainless steel electric kettle with a glossy finish and a transparent water window, its cord trailing toward the back wall. Behind it, a partially visible blue and white box\u2014possibly tea or coffee\u2014rests against the dark backsplash. To the right, a white plastic cutting board holds a bright green kitchen towel and a yellow sponge, adding a splash of color. The floor is tiled in large, matte gray squares with subtle texture, arranged in a grid pattern.\n\nLighting is primarily natural, coming from a small window on the far wall, casting soft, diffused daylight across the scene. The light is cool-toned and even, with no harsh shadows, though slight reflections appear on the kettle\u2019s metallic base and the glossy cabinet surfaces. The overall mood is calm, orderly, and utilitarian \u2014 a quiet, lived-in kitchen space designed for efficiency rather than decoration.\n\n- Electric kettle: Black plastic body with stainless steel accents, glossy finish, cylindrical shape with handle and spout, approximately 10\u201d tall, positioned center-left on countertop, cord extending toward back wall.\n- Countertop: Dark gray, matte laminate or quartz, smooth texture, L-shaped, spans entire visible width, 24\u201d deep.\n- White cabinets: Flat-panel doors with brushed stainless steel vertical handles, glossy white finish, 36\u201d tall, positioned beneath countertop, extending to right edge.\n- Dishwasher: White, front-loading, with control dial and digital display, approximately 24\u201d wide, positioned flush against left wall.\n- Cutting board: White plastic, rectangular, 18\u201d x 12\u201d, placed on right side of countertop.\n- Green kitchen towel: Woven cotton, bright green, folded, resting on cutting board.\n- Yellow sponge: Rectangular, porous texture, bright yellow, beside towel on cutting board.\n- Blue and white box: Cardboard, partially visible, likely tea or coffee, behind kettle near back wall.\n- Floor tiles: Gray matte ceramic, 12\u201d x 12\u201d, arranged in grid, slightly textured surface.\n- Window: Small, rectangular, on far wall, letting in cool daylight, partially visible at top right.",
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+ "meta_info": {
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+ "image_pth": "/home/ubuntu/benchmarks/results/RefSpatial-Bench/73.png",
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+ "source": "RefSpatial-Bench"
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+ }
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+ }
0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_12.json ADDED
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+ {
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+ "type": "object_matching_mv",
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+ "question": "Based on the red bbox of kettle in the first image, locate its bounding box in the second image. Pick the appropriate answer from the options given.\nA. [584, 358, 761, 426]\nB. [0, 73, 175, 453]\nC. [287, 155, 406, 403]\nD. [189, 322, 280, 419]\nYour answer can only include one of the options A, B, C, or D.",
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+ "choices": [
5
+ "A. [584, 358, 761, 426]",
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+ "B. [0, 73, 175, 453]",
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+ "C. [287, 155, 406, 403]",
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+ "D. [189, 322, 280, 419]"
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+ ],
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+ "answer": "B",
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+ "camera_a": {
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+ "name": "rand_062",
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+ "position": [
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+ 0.09824360258924825,
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+ 0.5055135095820387
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+ -0.8477084880557746,
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+ -0.28430088306603074
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+ "camera_b": {
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+ "position": [
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+ 0.0
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+ },
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+ "object": {
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+ "label": "kettle",
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+ "id": "kettle_0",
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+ "scene_id": "0215_txt_b795804f80d4",
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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"
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+ }
0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_13.json ADDED
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+ {
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+ "type": "object_matching_mv",
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+ "question": "Based on the red bbox of stovetop in the first image, locate its bounding box in the second image. Pick the appropriate answer from the options given.\nA. [272, 436, 615, 579]\nB. [427, 355, 468, 447]\nC. [472, 396, 526, 451]\nD. [523, 407, 713, 445]\nYour answer can only include one of the options A, B, C, or D.",
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+ "choices": [
5
+ "A. [272, 436, 615, 579]",
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+ "B. [427, 355, 468, 447]",
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+ "C. [472, 396, 526, 451]",
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+ "D. [523, 407, 713, 445]"
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+ ],
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+ "answer": "A",
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+ "camera_a": {
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+ "name": "rand_014",
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+ "position": [
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+ "camera_b": {
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+ "position": [
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+ 0.10303488680725925
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+ 0.6893723194569146,
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+ -0.23278741098796674
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+ },
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+ "object": {
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+ "label": "stovetop",
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+ "id": "stovetop_0",
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+ "centroid": [
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+ -0.7412460446357727,
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+ 0.7525463700294495,
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+ -0.2420654296875
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+ ],
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+ "width": 0.758535236120224,
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+ "length": 0.847651481628418,
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+ "height": 0.082275390625
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+ },
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+ "scene_id": "0215_txt_b795804f80d4",
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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"
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+ }
0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_19.json ADDED
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+ {
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+ "type": "object_matching_mv",
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+ "question": "The stovetop is marked with a red bbox in the first image. Which bounding box in the second image corresponds to the same object? Choose from:\nA. [384, 356, 493, 526]\nB. [579, 604, 999, 998]\nC. [708, 505, 868, 547]\nD. [549, 369, 618, 526]\nAnswer with A, B, C, or D only.",
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+ "choices": [
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+ "A. [384, 356, 493, 526]",
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+ "B. [579, 604, 999, 998]",
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+ "C. [708, 505, 868, 547]",
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+ "D. [549, 369, 618, 526]"
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+ ],
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+ "answer": "B",
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+ "camera_a": {
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+ "name": "rand_028",
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+ "position": [
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+ -0.7272306001066591,
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+ 0.14345296598796392,
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+ -0.22070397118315532
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+ ],
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+ "look_at": [
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+ 0.20176890094273037,
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+ 1.9054794037558147,
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+ -0.3175237656642911
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+ ]
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+ },
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+ "camera_b": {
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+ "name": "rand_016",
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+ "position": [
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+ -0.14590573151690597,
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+ 1.2266888576352388,
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+ -0.05373176693308723
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+ ],
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+ "look_at": [
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+ -1.6372895851189369,
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+ -0.17669854389252765
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+ ]
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+ },
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+ "object": {
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+ "label": "stovetop",
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+ "id": "stovetop_0",
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+ "centroid": [
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+ -0.7412460446357727,
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+ 0.7525463700294495,
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+ -0.2420654296875
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+ ],
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+ "width": 0.758535236120224,
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+ "length": 0.847651481628418,
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+ "height": 0.082275390625
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+ },
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+ "scene_id": "0215_txt_b795804f80d4",
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+ "layout_path": null,
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+ "image_path_a": "question_image_19_a.jpg",
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+ "image_path_b": "question_image_19_b.jpg"
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+ }
0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_28.json ADDED
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1
+ {
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+ "type": "object_matching_mv",
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+ "question": "Locate the egg shown by the red bbox in image 1 within the second image. Which option matches?\nA. [364, 459, 636, 573]\nB. [277, 517, 370, 629]\nC. [182, 474, 273, 664]\nD. [0, 691, 520, 998]\nAnswer A, B, C, or D.",
4
+ "choices": [
5
+ "A. [364, 459, 636, 573]",
6
+ "B. [277, 517, 370, 629]",
7
+ "C. [182, 474, 273, 664]",
8
+ "D. [0, 691, 520, 998]"
9
+ ],
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+ "answer": "B",
11
+ "camera_a": {
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+ "name": "rand_003",
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+ "position": [
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+ -0.8970435375317525,
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+ -0.38645765348058775,
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+ -0.16807455328659815
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+ ],
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+ "look_at": [
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+ -0.4297915394907994,
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+ 1.5267434088885299,
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+ -0.26787376562194654
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+ ]
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+ },
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+ "camera_b": {
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+ "name": "rand_049",
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+ "position": [
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+ -0.8019089680662854,
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+ 0.13266473165851386,
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+ 0.4088027554179563
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+ ],
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+ "look_at": [
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+ 0.30168111278306897,
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+ 1.9845888873151607,
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+ -0.26907023031127886
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+ ]
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+ },
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+ "object": {
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+ "label": "egg",
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+ "id": "egg_0",
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+ "centroid": [
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+ -0.4659731388092041,
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+ 1.630666971206665,
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+ -0.20560546964406967
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+ ],
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+ "width": 0.2361719012260437,
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+ "length": 0.25213873386383057,
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+ "height": 0.14884765446186066
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+ },
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+ "scene_id": "0215_txt_b795804f80d4",
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+ "layout_path": null,
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+ "image_path_a": "question_image_28_a.jpg",
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+ "image_path_b": "question_image_28_b.jpg"
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+ }
0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_3.json ADDED
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1
+ {
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+ "type": "object_matching_mv",
3
+ "question": "Match the egg (red bbox, first image) to its bounding box in the second image.\nA. [199, 415, 264, 559]\nB. [370, 482, 623, 537]\nC. [273, 472, 356, 551]\nD. [0, 535, 397, 851]\nRespond with A, B, C, or D only.",
4
+ "choices": [
5
+ "A. [199, 415, 264, 559]",
6
+ "B. [370, 482, 623, 537]",
7
+ "C. [273, 472, 356, 551]",
8
+ "D. [0, 535, 397, 851]"
9
+ ],
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+ "answer": "C",
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+ "camera_a": {
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+ "name": "rand_040",
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+ "position": [
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+ -0.8104846273871763,
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+ -1.2142327325697737,
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+ -0.1703365784260389
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+ ],
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+ "look_at": [
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+ -0.69293588470367,
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+ 0.7322872003934857,
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+ -0.26216141676023325
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+ ]
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+ },
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+ "camera_b": {
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+ "name": "rand_014",
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+ "position": [
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+ -0.5188702062097522,
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+ -0.30335488246960407,
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+ 0.06602979618170868
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+ ],
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+ "look_at": [
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+ 1.9426448817535575,
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+ -0.24687970340898768
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+ ]
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+ },
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+ "object": {
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+ "label": "egg",
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+ "id": "egg_0",
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+ "centroid": [
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+ -0.4659731388092041,
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+ 1.630666971206665,
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+ -0.20560546964406967
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+ "width": 0.2361719012260437,
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+ "length": 0.25213873386383057,
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+ "height": 0.14884765446186066
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+ },
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+ "scene_id": "0215_txt_b795804f80d4",
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+ "layout_path": null,
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+ "image_path_a": "question_image_3_a.jpg",
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+ "image_path_b": "question_image_3_b.jpg"
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+ }
0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_30.json ADDED
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1
+ {
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+ "type": "object_matching_mv",
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+ "question": "Based on the red bbox of box in the first image, locate its bounding box in the second image. Pick the appropriate answer from the options given.\nA. [648, 735, 999, 998]\nB. [705, 529, 879, 596]\nC. [381, 351, 490, 528]\nD. [486, 467, 539, 524]\nYour answer can only include one of the options A, B, C, or D.",
4
+ "choices": [
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+ "A. [648, 735, 999, 998]",
6
+ "B. [705, 529, 879, 596]",
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+ "C. [381, 351, 490, 528]",
8
+ "D. [486, 467, 539, 524]"
9
+ ],
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+ "answer": "D",
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+ "camera_a": {
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+ "name": "rand_030",
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+ "position": [
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+ -0.36643982706491673,
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+ -0.19511495481823837,
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+ ],
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+ -0.16988888901317623
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+ ]
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+ },
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+ "camera_b": {
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+ "name": "rand_017",
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+ "position": [
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+ 0.27490636721783623
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+ ],
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+ },
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+ "object": {
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+ "label": "box",
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+ "id": "box_0",
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+ "centroid": [
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+ -1.680616855621338,
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+ "caption": "The scene is a cozy, personalized home office or study nook, rendered in a realistic style that emphasizes a warm, lived-in ambiance. The overall tone is cheerful, nostalgic, and slightly playful, suggesting a space used for both work and personal expression. The rectangular, modestly sized room features soft off-white walls and a plush, medium-pile brown carpet that covers the entire floor, showing slight wear near the chair. A white desk, approximately 48 inches wide by 24 inches deep, crafted from laminated particleboard with a matte finish, is positioned against the left wall. Its surface holds a fabric-covered tissue box with purple and pink floral motifs, resting atop a yellow book, alongside other books and small boxes. A white Eames-style chair, featuring a molded plastic seat and back with light wood dowel legs and black metal cross-bracing, is angled slightly toward the desk. On the center-right wall, a white, perforated fiberboard pegboard displays pins, badges, lanyards, and small photos. To its left, on the left wall, six square CD cases, each with unique album art like \u201cTeen Troubles\u201d and \u201cThe Volunteers,\u201d are mounted in a black plastic, glossy-framed grid. A three-tier small wooden shelf, made of light oak laminate with white metal legs, holds a bright yellow circular emoji pillow with black sunglasses and a smile, a framed photo, and a small blue box containing a figurine. Leaning against the wall on this shelf is a framed poster with abstract colorful artwork and Korean and English text that reads \u201cI\u2019m stunning you.\u201d A tall, modular white bookshelf, made of semi-gloss white-painted MDF, stands on the right, filled with books, CDs, plastic bins, and decorative boxes. A small white wall outlet is partially visible on the left wall above the desk. A white cable is coiled loosely on the floor near the bottom right corner. The 360 scene is faultless."
40
+ },
41
+ "created_at": null,
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+ "updated_at": null,
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+ "permission": {
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+ "public": false,
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+ "allowed_readers": [],
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+ "allowed_writers": [],
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+ "allow_id_access": false
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+ },
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+ "world_prompt": null,
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+ "world_marble_url": "https://marble.worldlabs.ai/world/1dd01ce2-2b12-4bcd-be07-573bca172e9f",
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+ "model": null
52
+ }
53
+ }
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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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