diff --git a/0215_txt_b795804f80d4/input.json b/0215_txt_b795804f80d4/input.json
new file mode 100644
index 0000000000000000000000000000000000000000..b1af5c8bbc020c2a11b0ca15d22be3a8140aad5b
--- /dev/null
+++ b/0215_txt_b795804f80d4/input.json
@@ -0,0 +1,7 @@
+{
+  "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.",
+  "meta_info": {
+    "image_pth": "/home/ubuntu/benchmarks/results/RefSpatial-Bench/73.png",
+    "source": "RefSpatial-Bench"
+  }
+}
\ No newline at end of file
diff --git a/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_12.json b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_12.json
new file mode 100644
index 0000000000000000000000000000000000000000..d76e6d1ac0a484ee8d246af542afb524b3a897db
--- /dev/null
+++ b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_12.json
@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "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.",
+  "choices": [
+    "A. [584, 358, 761, 426]",
+    "B. [0, 73, 175, 453]",
+    "C. [287, 155, 406, 403]",
+    "D. [189, 322, 280, 419]"
+  ],
+  "answer": "B",
+  "camera_a": {
+    "name": "rand_062",
+    "position": [
+      -0.3384733119453533,
+      0.09824360258924825,
+      0.5055135095820387
+    ],
+    "look_at": [
+      -0.28490380503879814,
+      -0.8477084880557746,
+      -0.28430088306603074
+    ]
+  },
+  "camera_b": {
+    "name": "view_010",
+    "position": [
+      -0.0,
+      -0.0,
+      0.0
+    ],
+    "look_at": [
+      -8.36516284942627,
+      -4.829628944396973,
+      -2.5881905555725098
+    ]
+  },
+  "object": {
+    "label": "kettle",
+    "id": "kettle_0",
+    "centroid": [
+      -0.6963176727294922,
+      -1.8109726905822754,
+      0.02724364399909973
+    ],
+    "width": 0.475341796875,
+    "length": 0.3642578125,
+    "height": 0.6067333817481995
+  },
+  "scene_id": "0215_txt_b795804f80d4",
+  "layout_path": null,
+  "image_path_a": "question_image_12_a.jpg",
+  "image_path_b": "question_image_12_b.jpg"
+}
\ No newline at end of file
diff --git a/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_13.json b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_13.json
new file mode 100644
index 0000000000000000000000000000000000000000..2dc946896cbc0720b482dcddb5b221d058ec6bb3
--- /dev/null
+++ b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_13.json
@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "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.",
+  "choices": [
+    "A. [272, 436, 615, 579]",
+    "B. [427, 355, 468, 447]",
+    "C. [472, 396, 526, 451]",
+    "D. [523, 407, 713, 445]"
+  ],
+  "answer": "A",
+  "camera_a": {
+    "name": "rand_014",
+    "position": [
+      -0.5188702062097522,
+      -0.30335488246960407,
+      0.06602979618170868
+    ],
+    "look_at": [
+      0.2753490154670559,
+      1.9426448817535575,
+      -0.24687970340898768
+    ]
+  },
+  "camera_b": {
+    "name": "rand_047",
+    "position": [
+      -1.2787985298905615,
+      -0.7455604771642458,
+      0.10303488680725925
+    ],
+    "look_at": [
+      -0.7849474121812725,
+      0.6893723194569146,
+      -0.23278741098796674
+    ]
+  },
+  "object": {
+    "label": "stovetop",
+    "id": "stovetop_0",
+    "centroid": [
+      -0.7412460446357727,
+      0.7525463700294495,
+      -0.2420654296875
+    ],
+    "width": 0.758535236120224,
+    "length": 0.847651481628418,
+    "height": 0.082275390625
+  },
+  "scene_id": "0215_txt_b795804f80d4",
+  "layout_path": null,
+  "image_path_a": "question_image_13_a.jpg",
+  "image_path_b": "question_image_13_b.jpg"
+}
\ No newline at end of file
diff --git a/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_19.json b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_19.json
new file mode 100644
index 0000000000000000000000000000000000000000..898d487a476ab1d7132d0b6e7992f3b07039a58f
--- /dev/null
+++ b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_19.json
@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "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.",
+  "choices": [
+    "A. [384, 356, 493, 526]",
+    "B. [579, 604, 999, 998]",
+    "C. [708, 505, 868, 547]",
+    "D. [549, 369, 618, 526]"
+  ],
+  "answer": "B",
+  "camera_a": {
+    "name": "rand_028",
+    "position": [
+      -0.7272306001066591,
+      0.14345296598796392,
+      -0.22070397118315532
+    ],
+    "look_at": [
+      0.20176890094273037,
+      1.9054794037558147,
+      -0.3175237656642911
+    ]
+  },
+  "camera_b": {
+    "name": "rand_016",
+    "position": [
+      -0.14590573151690597,
+      1.2266888576352388,
+      -0.05373176693308723
+    ],
+    "look_at": [
+      -1.1049963870395136,
+      -1.6372895851189369,
+      -0.17669854389252765
+    ]
+  },
+  "object": {
+    "label": "stovetop",
+    "id": "stovetop_0",
+    "centroid": [
+      -0.7412460446357727,
+      0.7525463700294495,
+      -0.2420654296875
+    ],
+    "width": 0.758535236120224,
+    "length": 0.847651481628418,
+    "height": 0.082275390625
+  },
+  "scene_id": "0215_txt_b795804f80d4",
+  "layout_path": null,
+  "image_path_a": "question_image_19_a.jpg",
+  "image_path_b": "question_image_19_b.jpg"
+}
\ No newline at end of file
diff --git a/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_28.json b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_28.json
new file mode 100644
index 0000000000000000000000000000000000000000..18f63ee0ee76e54de5e3b23ae6b1dcc74fc78ead
--- /dev/null
+++ b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_28.json
@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "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.",
+  "choices": [
+    "A. [364, 459, 636, 573]",
+    "B. [277, 517, 370, 629]",
+    "C. [182, 474, 273, 664]",
+    "D. [0, 691, 520, 998]"
+  ],
+  "answer": "B",
+  "camera_a": {
+    "name": "rand_003",
+    "position": [
+      -0.8970435375317525,
+      -0.38645765348058775,
+      -0.16807455328659815
+    ],
+    "look_at": [
+      -0.4297915394907994,
+      1.5267434088885299,
+      -0.26787376562194654
+    ]
+  },
+  "camera_b": {
+    "name": "rand_049",
+    "position": [
+      -0.8019089680662854,
+      0.13266473165851386,
+      0.4088027554179563
+    ],
+    "look_at": [
+      0.30168111278306897,
+      1.9845888873151607,
+      -0.26907023031127886
+    ]
+  },
+  "object": {
+    "label": "egg",
+    "id": "egg_0",
+    "centroid": [
+      -0.4659731388092041,
+      1.630666971206665,
+      -0.20560546964406967
+    ],
+    "width": 0.2361719012260437,
+    "length": 0.25213873386383057,
+    "height": 0.14884765446186066
+  },
+  "scene_id": "0215_txt_b795804f80d4",
+  "layout_path": null,
+  "image_path_a": "question_image_28_a.jpg",
+  "image_path_b": "question_image_28_b.jpg"
+}
\ No newline at end of file
diff --git a/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_3.json b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_3.json
new file mode 100644
index 0000000000000000000000000000000000000000..0f30246ad18916e88f51a60a5a22fe64a91b4ab7
--- /dev/null
+++ b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_3.json
@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "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.",
+  "choices": [
+    "A. [199, 415, 264, 559]",
+    "B. [370, 482, 623, 537]",
+    "C. [273, 472, 356, 551]",
+    "D. [0, 535, 397, 851]"
+  ],
+  "answer": "C",
+  "camera_a": {
+    "name": "rand_040",
+    "position": [
+      -0.8104846273871763,
+      -1.2142327325697737,
+      -0.1703365784260389
+    ],
+    "look_at": [
+      -0.69293588470367,
+      0.7322872003934857,
+      -0.26216141676023325
+    ]
+  },
+  "camera_b": {
+    "name": "rand_014",
+    "position": [
+      -0.5188702062097522,
+      -0.30335488246960407,
+      0.06602979618170868
+    ],
+    "look_at": [
+      0.2753490154670559,
+      1.9426448817535575,
+      -0.24687970340898768
+    ]
+  },
+  "object": {
+    "label": "egg",
+    "id": "egg_0",
+    "centroid": [
+      -0.4659731388092041,
+      1.630666971206665,
+      -0.20560546964406967
+    ],
+    "width": 0.2361719012260437,
+    "length": 0.25213873386383057,
+    "height": 0.14884765446186066
+  },
+  "scene_id": "0215_txt_b795804f80d4",
+  "layout_path": null,
+  "image_path_a": "question_image_3_a.jpg",
+  "image_path_b": "question_image_3_b.jpg"
+}
\ No newline at end of file
diff --git a/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_30.json b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_30.json
new file mode 100644
index 0000000000000000000000000000000000000000..ce861518ad89b1f94d7c6cc43a796f6a0cdbf435
--- /dev/null
+++ b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_30.json
@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "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.",
+  "choices": [
+    "A. [648, 735, 999, 998]",
+    "B. [705, 529, 879, 596]",
+    "C. [381, 351, 490, 528]",
+    "D. [486, 467, 539, 524]"
+  ],
+  "answer": "D",
+  "camera_a": {
+    "name": "rand_030",
+    "position": [
+      -0.36643982706491673,
+      -0.19511495481823837,
+      0.07819429291459823
+    ],
+    "look_at": [
+      -1.0985246918821518,
+      -1.752239389360734,
+      -0.16988888901317623
+    ]
+  },
+  "camera_b": {
+    "name": "rand_017",
+    "position": [
+      -0.12522171231075058,
+      1.1932000828716685,
+      0.27490636721783623
+    ],
+    "look_at": [
+      -1.1522640524219705,
+      -1.731058574460493,
+      -0.1973465868517208
+    ]
+  },
+  "object": {
+    "label": "box",
+    "id": "box_0",
+    "centroid": [
+      -1.162672519683838,
+      -1.680616855621338,
+      -0.18162597715854645
+    ],
+    "width": 0.267822265625,
+    "length": 0.260498046875,
+    "height": 0.1963183581829071
+  },
+  "scene_id": "0215_txt_b795804f80d4",
+  "layout_path": null,
+  "image_path_a": "question_image_30_a.jpg",
+  "image_path_b": "question_image_30_b.jpg"
+}
\ No newline at end of file
diff --git a/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_32.json b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_32.json
new file mode 100644
index 0000000000000000000000000000000000000000..29d941e36ce5716d161e8cf0b27775b97abfb078
--- /dev/null
+++ b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_32.json
@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "Match the box (red bbox, first image) to its bounding box in the second image.\nA. [552, 328, 637, 523]\nB. [754, 528, 975, 622]\nC. [357, 309, 487, 521]\nD. [480, 449, 544, 517]\nRespond with A, B, C, or D only.",
+  "choices": [
+    "A. [552, 328, 637, 523]",
+    "B. [754, 528, 975, 622]",
+    "C. [357, 309, 487, 521]",
+    "D. [480, 449, 544, 517]"
+  ],
+  "answer": "D",
+  "camera_a": {
+    "name": "rand_013",
+    "position": [
+      -0.411918445880827,
+      0.2854942910030618,
+      0.20678840598296988
+    ],
+    "look_at": [
+      -0.40032461955378396,
+      -0.8161195242097214,
+      -0.2795882606026988
+    ]
+  },
+  "camera_b": {
+    "name": "rand_007",
+    "position": [
+      -0.3832518205892896,
+      0.7565747721151548,
+      0.1942520357597357
+    ],
+    "look_at": [
+      -1.1315405107581957,
+      -1.6278795344997934,
+      -0.22211667486137432
+    ]
+  },
+  "object": {
+    "label": "box",
+    "id": "box_0",
+    "centroid": [
+      -1.162672519683838,
+      -1.680616855621338,
+      -0.18162597715854645
+    ],
+    "width": 0.267822265625,
+    "length": 0.260498046875,
+    "height": 0.1963183581829071
+  },
+  "scene_id": "0215_txt_b795804f80d4",
+  "layout_path": null,
+  "image_path_a": "question_image_32_a.jpg",
+  "image_path_b": "question_image_32_b.jpg"
+}
\ No newline at end of file
diff --git a/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_34.json b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_34.json
new file mode 100644
index 0000000000000000000000000000000000000000..1259b90612e09f67ceeb721a09f41a192bf4fe9b
--- /dev/null
+++ b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_34.json
@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "Find the matching bounding box for stovetop (red bbox in image 1) in the second image.\nA. [506, 450, 733, 528]\nB. [133, 544, 579, 888]\nC. [441, 463, 505, 539]\nD. [385, 423, 435, 550]\nSelect A, B, C, or D.",
+  "choices": [
+    "A. [506, 450, 733, 528]",
+    "B. [133, 544, 579, 888]",
+    "C. [441, 463, 505, 539]",
+    "D. [385, 423, 435, 550]"
+  ],
+  "answer": "B",
+  "camera_a": {
+    "name": "rand_032",
+    "position": [
+      -1.149262321582537,
+      -0.8440728793439722,
+      0.38086339061174224
+    ],
+    "look_at": [
+      -0.4079814323076023,
+      1.6302670051278665,
+      -0.19080736921707186
+    ]
+  },
+  "camera_b": {
+    "name": "rand_000",
+    "position": [
+      -0.8712587554142566,
+      -0.447945302963581,
+      0.3913827565398327
+    ],
+    "look_at": [
+      -0.3619381621420372,
+      1.6293091045958232,
+      -0.19966887666502386
+    ]
+  },
+  "object": {
+    "label": "stovetop",
+    "id": "stovetop_0",
+    "centroid": [
+      -0.7412460446357727,
+      0.7525463700294495,
+      -0.2420654296875
+    ],
+    "width": 0.758535236120224,
+    "length": 0.847651481628418,
+    "height": 0.082275390625
+  },
+  "scene_id": "0215_txt_b795804f80d4",
+  "layout_path": null,
+  "image_path_a": "question_image_34_a.jpg",
+  "image_path_b": "question_image_34_b.jpg"
+}
\ No newline at end of file
diff --git a/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_5.json b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_5.json
new file mode 100644
index 0000000000000000000000000000000000000000..0ee8e1f9f30034c283570393a967e4686330d181
--- /dev/null
+++ b/0215_txt_b795804f80d4/tasks/019_object_matching_mv/question_5.json
@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "The utensil holder is indicated by the red bbox in image 1. Select the corresponding bbox in image 2.\nA. [229, 527, 564, 736]\nB. [465, 466, 519, 528]\nC. [524, 459, 724, 526]\nD. [421, 430, 459, 536]\nAnswer with one letter: A, B, C, or D.",
+  "choices": [
+    "A. [229, 527, 564, 736]",
+    "B. [465, 466, 519, 528]",
+    "C. [524, 459, 724, 526]",
+    "D. [421, 430, 459, 536]"
+  ],
+  "answer": "D",
+  "camera_a": {
+    "name": "rand_054",
+    "position": [
+      -1.0335052386499632,
+      -1.1876243952137315,
+      0.23822967328337263
+    ],
+    "look_at": [
+      -0.5126426963608912,
+      1.5385155139490805,
+      -0.2302583618715659
+    ]
+  },
+  "camera_b": {
+    "name": "rand_020",
+    "position": [
+      -0.8180045829172051,
+      -0.8923416914411402,
+      0.4515940741321858
+    ],
+    "look_at": [
+      -0.43167052964338115,
+      1.6400331628261324,
+      -0.20692611102572922
+    ]
+  },
+  "object": {
+    "label": "utensil holder",
+    "id": "utensil holder_0",
+    "centroid": [
+      -0.6825664639472961,
+      1.5416266918182373,
+      -0.13376954314298928
+    ],
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+    "length": 0.20136713981628418,
+    "height": 0.28304689889773726
+  },
+  "scene_id": "0215_txt_b795804f80d4",
+  "layout_path": null,
+  "image_path_a": "question_image_5_a.jpg",
+  "image_path_b": "question_image_5_b.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/.cache_manifest.json b/0239_txt_b72ba4077d48/meta/.cache_manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..b373787eacda6d1ac0bb427abce23511193c4b8d
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/.cache_manifest.json
@@ -0,0 +1,7 @@
+{
+  "cache_key": "b72ba4077d48d8e1_marble-1.1_None",
+  "world_id": "1dd01ce2-2b12-4bcd-be07-573bca172e9f",
+  "operation_id": "b2d19a31-8c15-4579-a3d5-642db69ee814",
+  "assets_downloaded": true,
+  "usd_converted": true
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/camera_filter.json b/0239_txt_b72ba4077d48/meta/camera_filter.json
new file mode 100644
index 0000000000000000000000000000000000000000..d784564aabad5f9e7405de2ac44e72d7fde269b4
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/camera_filter.json
@@ -0,0 +1,16 @@
+{
+  "rejected": [
+    "rand_004",
+    "rand_006",
+    "rand_008",
+    "rand_010",
+    "rand_017",
+    "rand_023",
+    "rand_025",
+    "rand_033",
+    "rand_035",
+    "rand_056",
+    "rand_060",
+    "rand_063"
+  ]
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/dimension_filter.json b/0239_txt_b72ba4077d48/meta/dimension_filter.json
new file mode 100644
index 0000000000000000000000000000000000000000..d76d5b5311f3944968bb19ddaf03a49ed26083b5
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/dimension_filter.json
@@ -0,0 +1,9 @@
+{
+  "excluded": [
+    "book_1",
+    "card_0",
+    "chair_1",
+    "chair_2",
+    "light switch_1"
+  ]
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/label_filter.json b/0239_txt_b72ba4077d48/meta/label_filter.json
new file mode 100644
index 0000000000000000000000000000000000000000..dbf1c08eae4aa74466ac02d3cc7f11f9d46a85b7
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/label_filter.json
@@ -0,0 +1,12 @@
+{
+  "excluded": [
+    "book_0",
+    "chair_0",
+    "chair_1",
+    "light switch_1",
+    "photo_0",
+    "photo_1",
+    "photo_4",
+    "table_2"
+  ]
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/scene.json b/0239_txt_b72ba4077d48/meta/scene.json
new file mode 100644
index 0000000000000000000000000000000000000000..fd2a52e640627af5af85bcec60c3e9e97558e7a0
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/scene.json
@@ -0,0 +1,11053 @@
+{
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+  "scene_type": "marble",
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\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/filtered_objects_v3.json b/0239_txt_b72ba4077d48/meta/segmentation/filtered_objects_v3.json
new file mode 100644
index 0000000000000000000000000000000000000000..ddc63ee2d00e26b5ff837fe4ba0e3ce8ea196c96
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/filtered_objects_v3.json
@@ -0,0 +1,27 @@
+[
+  "badge",
+  "bin",
+  "book",
+  "bookshelf",
+  "box",
+  "cable",
+  "cd",
+  "chair",
+  "desk",
+  "door",
+  "dresser",
+  "figurine",
+  "lanyard",
+  "light switch",
+  "pegboard",
+  "photo",
+  "pillow",
+  "plant",
+  "poster",
+  "shelf",
+  "sunglasses",
+  "table",
+  "thermostat",
+  "tissue box",
+  "wall outlet"
+]
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/instance_info.json b/0239_txt_b72ba4077d48/meta/segmentation/instance_info.json
new file mode 100644
index 0000000000000000000000000000000000000000..c3db2e24f73a2a9221ad153629414edd46bffbb0
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/instance_info.json
@@ -0,0 +1,737 @@
+{
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+    "category": "picture frame",
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+  }
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/manifest.json b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..2804b4ccd4a81a0c361ebbb334ab62367e3a409e
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/manifest.json
@@ -0,0 +1,5 @@
+{
+  "filter_cache_version": 3,
+  "min_score": 0.35,
+  "object_names_sha1": "8ba3e3ebc3e8f32d6a5f7a3b2f1f1ccf228b7ddd"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_000_labels.json b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_000_labels.json
new file mode 100644
index 0000000000000000000000000000000000000000..6a18311e7d6d3e6898e15a45ac981fb8088a1d8d
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_000_labels.json
@@ -0,0 +1 @@
+{"1": "book", "2": "book", "3": "book", "4": "box", "5": "box", "6": "box", "7": "box", "8": "cable", "9": "chair", "10": "desk", "11": "pegboard", "12": "photo", "13": "photo", "14": "photo", "15": "photo", "16": "photo", "17": "photo", "18": "photo", "19": "photo", "20": "table", "21": "thermostat", "22": "tissue box"}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_001_labels.json b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_001_labels.json
new file mode 100644
index 0000000000000000000000000000000000000000..61b4625b5fa7e2f8477971121a41646a6fdf1f0a
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_001_labels.json
@@ -0,0 +1 @@
+{"1": "book", "2": "book", "3": "book", "4": "book", "5": "box", "6": "box", "7": "box", "8": "box", "9": "cable", "10": "chair", "11": "desk", "12": "light switch", "13": "photo", "14": "photo", "15": "table", "16": "thermostat", "17": "tissue box", "18": "wall outlet", "19": "wall outlet"}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_002_labels.json b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_002_labels.json
new file mode 100644
index 0000000000000000000000000000000000000000..2214719a79e25d5b3e6d3952a3b3a35db2fa9f55
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_002_labels.json
@@ -0,0 +1 @@
+{"1": "book", "2": "book", "3": "box", "4": "box", "5": "box", "6": "box", "7": "cable", "8": "desk", "9": "door", "10": "light switch", "11": "photo", "12": "table", "13": "table", "14": "tissue box", "15": "wall outlet"}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_003_labels.json b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_003_labels.json
new file mode 100644
index 0000000000000000000000000000000000000000..bf6e87f7104acbc069672c7d1d4d988e20cfd372
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_003_labels.json
@@ -0,0 +1 @@
+{"1": "bookshelf", "2": "door", "3": "light switch", "4": "photo", "5": "photo", "6": "photo", "7": "photo", "8": "photo", "9": "shelf", "10": "shelf", "11": "shelf", "12": "shelf"}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_004_labels.json b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_004_labels.json
new file mode 100644
index 0000000000000000000000000000000000000000..5a29800262e0f7e69ccaba07ba95e975adb2e8ba
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_004_labels.json
@@ -0,0 +1 @@
+{"1": "book", "2": "book", "3": "book", "4": "book", "5": "book", "6": "bookshelf", "7": "bookshelf", "8": "cable", "9": "door", "10": "door", "11": "photo", "12": "photo", "13": "photo", "14": "photo", "15": "photo", "16": "shelf", "17": "shelf", "18": "shelf"}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_005_labels.json b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_005_labels.json
new file mode 100644
index 0000000000000000000000000000000000000000..c4f8e1e2842fe00372c7eec9ea8b9963dafc6bf1
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_005_labels.json
@@ -0,0 +1 @@
+{"1": "book", "2": "book", "3": "book", "4": "book", "5": "bookshelf", "6": "bookshelf", "7": "bookshelf", "8": "bookshelf", "9": "cable", "10": "light switch", "11": "photo", "12": "photo", "13": "photo", "14": "photo", "15": "photo", "16": "shelf", "17": "shelf", "18": "shelf", "19": "wall outlet"}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_006_labels.json b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_006_labels.json
new file mode 100644
index 0000000000000000000000000000000000000000..c08e704ca785a475ebe7106ce9c23e22f8f21810
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_006_labels.json
@@ -0,0 +1 @@
+{"1": "book", "2": "book", "3": "book", "4": "book", "5": "bookshelf", "6": "bookshelf", "7": "cable", "8": "light switch", "9": "photo", "10": "photo", "11": "photo", "12": "poster", "13": "poster", "14": "shelf", "15": "shelf", "16": "shelf", "17": "wall outlet"}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_007_labels.json b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_007_labels.json
new file mode 100644
index 0000000000000000000000000000000000000000..1133faad96ef64d512f0e579dc1a2d7e0f6fc49f
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_007_labels.json
@@ -0,0 +1 @@
+{"1": "desk", "2": "light switch", "3": "photo", "4": "photo", "5": "photo", "6": "poster", "7": "wall outlet"}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_008_labels.json b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_008_labels.json
new file mode 100644
index 0000000000000000000000000000000000000000..3cc9df01e38343631e393668d84f6a54db79d7ac
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_008_labels.json
@@ -0,0 +1 @@
+{"1": "photo", "2": "photo", "3": "photo", "4": "poster", "5": "poster", "6": "sunglasses"}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_009_labels.json b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_009_labels.json
new file mode 100644
index 0000000000000000000000000000000000000000..5c17306674182bd4dd1f97fa158929f553d595dd
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_009_labels.json
@@ -0,0 +1 @@
+{"1": "box", "2": "box", "3": "desk", "4": "photo", "5": "photo", "6": "poster", "7": "sunglasses", "8": "table", "9": "tissue box", "10": "tissue box"}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_010_labels.json b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_010_labels.json
new file mode 100644
index 0000000000000000000000000000000000000000..b92e5185d83f779ddf85a98102d1cb6b9aa47abb
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_010_labels.json
@@ -0,0 +1 @@
+{"1": "box", "2": "desk", "3": "pegboard", "4": "photo", "5": "photo", "6": "photo", "7": "photo", "8": "photo", "9": "sunglasses", "10": "table", "11": "tissue box"}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_011_labels.json b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_011_labels.json
new file mode 100644
index 0000000000000000000000000000000000000000..ccba8ea0ecb455509a86ad41092c7f54376aa8d9
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/instance_masks/view_011_labels.json
@@ -0,0 +1 @@
+{"1": "book", "2": "book", "3": "box", "4": "box", "5": "chair", "6": "desk", "7": "desk", "8": "pegboard", "9": "photo", "10": "photo", "11": "photo", "12": "photo", "13": "photo", "14": "photo", "15": "photo", "16": "table", "17": "table", "18": "thermostat", "19": "tissue box", "20": "tissue box", "21": "wall outlet"}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/object_lists.json b/0239_txt_b72ba4077d48/meta/segmentation/object_lists.json
new file mode 100644
index 0000000000000000000000000000000000000000..aa821260dde74823ad4252d3855a3a3c047ad9d9
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/object_lists.json
@@ -0,0 +1,224 @@
+{
+  "caption_objects": [
+    "desk",
+    "tissue box",
+    "book",
+    "box",
+    "chair",
+    "pegboard",
+    "pin",
+    "badge",
+    "lanyard",
+    "photo",
+    "cd case",
+    "shelf",
+    "pillow",
+    "sunglasses",
+    "smile",
+    "figurine",
+    "poster",
+    "bookshelf",
+    "cd",
+    "bin",
+    "wall outlet",
+    "cable"
+  ],
+  "view_objects": [
+    [
+      "desk",
+      "book",
+      "box",
+      "game box",
+      "tray",
+      "photo frame",
+      "storage bin",
+      "chair",
+      "cable",
+      "pegboard",
+      "picture frame",
+      "thermostat"
+    ],
+    [
+      "light switch",
+      "thermostat",
+      "table",
+      "box",
+      "book",
+      "frame",
+      "container",
+      "chair",
+      "cable"
+    ],
+    [
+      "door",
+      "doorknob",
+      "light switch",
+      "table",
+      "box",
+      "book",
+      "picture frame",
+      "cable",
+      "chair"
+    ],
+    [
+      "shelf",
+      "box",
+      "binder",
+      "picture frame",
+      "door",
+      "door handle",
+      "light switch",
+      "table",
+      "bowl",
+      "potpourri",
+      "photo frame"
+    ],
+    [
+      "bookshelf",
+      "book",
+      "smartphone",
+      "picture frame",
+      "bowl",
+      "potpourri",
+      "cord",
+      "door",
+      "door handle",
+      "carpet",
+      "storage box"
+    ],
+    [
+      "light switch",
+      "bookshelf",
+      "book",
+      "record",
+      "picture frame",
+      "photo",
+      "cable",
+      "plant",
+      "bowl",
+      "potpourri",
+      "poster"
+    ],
+    [
+      "picture frame",
+      "poster",
+      "bookshelf",
+      "book",
+      "light switch",
+      "cable",
+      "plant",
+      "photo frame"
+    ],
+    [
+      "picture frame",
+      "art print",
+      "light switch",
+      "shelf"
+    ],
+    [
+      "picture frame",
+      "poster",
+      "glass",
+      "sticker",
+      "pillow"
+    ],
+    [
+      "curtain",
+      "picture frame",
+      "picture",
+      "table",
+      "pillow",
+      "box",
+      "card",
+      "flower"
+    ],
+    [
+      "pegboard",
+      "picture frame",
+      "art print",
+      "cloth",
+      "dresser",
+      "box",
+      "photo cube",
+      "card",
+      "pillow"
+    ],
+    [
+      "thermostat",
+      "pegboard",
+      "picture frame",
+      "photo",
+      "painting",
+      "desk",
+      "storage bin",
+      "book",
+      "chair",
+      "cabinet",
+      "box",
+      "card",
+      "plastic bag",
+      "curtain",
+      "balloon"
+    ]
+  ],
+  "merged_objects": [
+    "art print",
+    "badge",
+    "balloon",
+    "bin",
+    "binder",
+    "book",
+    "bookshelf",
+    "bowl",
+    "box",
+    "cabinet",
+    "cable",
+    "card",
+    "carpet",
+    "cd",
+    "cd case",
+    "chair",
+    "cloth",
+    "container",
+    "cord",
+    "curtain",
+    "desk",
+    "door",
+    "door handle",
+    "doorknob",
+    "dresser",
+    "figurine",
+    "flower",
+    "frame",
+    "game box",
+    "glass",
+    "lanyard",
+    "light switch",
+    "painting",
+    "pegboard",
+    "photo",
+    "photo cube",
+    "photo frame",
+    "picture",
+    "picture frame",
+    "pillow",
+    "pin",
+    "plant",
+    "plastic bag",
+    "poster",
+    "potpourri",
+    "record",
+    "shelf",
+    "smartphone",
+    "smile",
+    "sticker",
+    "storage bin",
+    "storage box",
+    "sunglasses",
+    "table",
+    "thermostat",
+    "tissue box",
+    "tray",
+    "wall outlet"
+  ]
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/postprocess.done b/0239_txt_b72ba4077d48/meta/segmentation/postprocess.done
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/0239_txt_b72ba4077d48/meta/segmentation/scene.json b/0239_txt_b72ba4077d48/meta/segmentation/scene.json
new file mode 100644
index 0000000000000000000000000000000000000000..e9679a621bc96b659e0859c7e561a270e008378b
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/scene.json
@@ -0,0 +1,631 @@
+{
+  "scene_id": "1dd01ce2-2b1",
+  "source": "marble_3d_labeling",
+  "objects": [
+    {
+      "id": "bag_0",
+      "label": "bag",
+      "type": "bag",
+      "x": -1.3093345165252686,
+      "y": 2.057157278060913,
+      "z": 1.515869140625,
+      "rotation_z": 0.0,
+      "width": 0.590087890625,
+      "length": 0.5908203125,
+      "height": 0.806884765625,
+      "n_gaussians": 2011
+    },
+    {
+      "id": "bin_0",
+      "label": "bin",
+      "type": "bin",
+      "x": -0.6288110613822937,
+      "y": 0.6327367424964905,
+      "z": 0.491943359375,
+      "rotation_z": 0.0,
+      "width": 0.513671875,
+      "length": 0.3251953125,
+      "height": 0.33984375,
+      "n_gaussians": 1318
+    },
+    {
+      "id": "book_0",
+      "label": "book",
+      "type": "book",
+      "x": -0.7111793756484985,
+      "y": 0.8095327615737915,
+      "z": 0.776123046875,
+      "rotation_z": 0.0,
+      "width": 0.741943359375,
+      "length": 0.758544921875,
+      "height": 0.09130859375,
+      "n_gaussians": 17558
+    },
+    {
+      "id": "bowl_0",
+      "label": "bowl",
+      "type": "bowl",
+      "x": -1.1839758157730103,
+      "y": 1.1555203199386597,
+      "z": 1.03564453125,
+      "rotation_z": 0.0,
+      "width": 0.625244140625,
+      "length": 0.760498046875,
+      "height": 0.42236328125,
+      "n_gaussians": 6194
+    },
+    {
+      "id": "box_0",
+      "label": "box",
+      "type": "box",
+      "x": -1.1535625457763672,
+      "y": 0.620587170124054,
+      "z": 0.35791015625,
+      "rotation_z": 0.0,
+      "width": 0.896484375,
+      "length": 0.933837890625,
+      "height": 0.512939453125,
+      "n_gaussians": 15803
+    },
+    {
+      "id": "card_0",
+      "label": "card",
+      "type": "card",
+      "x": 1.124541163444519,
+      "y": 1.1537466049194336,
+      "z": 0.97509765625,
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+      "width": 0.6787109375,
+      "length": 0.898193359375,
+      "height": 0.9970703125,
+      "n_gaussians": 13931
+    },
+    {
+      "id": "chair_0",
+      "label": "chair",
+      "type": "chair",
+      "x": -0.19384823739528656,
+      "y": 1.0307869911193848,
+      "z": 0.63720703125,
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+      "width": 1.08056640625,
+      "length": 0.845458984375,
+      "height": 1.15234375,
+      "n_gaussians": 16968
+    },
+    {
+      "id": "desk_0",
+      "label": "desk",
+      "type": "desk",
+      "x": -0.8481979370117188,
+      "y": 0.8448446393013,
+      "z": 0.750732421875,
+      "rotation_z": 0.0,
+      "width": 1.33935546875,
+      "length": 1.615966796875,
+      "height": 0.264892578125,
+      "n_gaussians": 37029
+    },
+    {
+      "id": "door_0",
+      "label": "door",
+      "type": "door",
+      "x": -2.250251293182373,
+      "y": 0.5688551068305969,
+      "z": -0.940185546875,
+      "rotation_z": 0.0,
+      "width": 1.7998046875,
+      "length": 1.343017578125,
+      "height": 3.08544921875,
+      "n_gaussians": 45067
+    },
+    {
+      "id": "lid_0",
+      "label": "lid",
+      "type": "lid",
+      "x": -0.6590981483459473,
+      "y": 0.4639573395252228,
+      "z": 0.435791015625,
+      "rotation_z": 0.0,
+      "width": 0.51708984375,
+      "length": 0.52197265625,
+      "height": 0.069091796875,
+      "n_gaussians": 937
+    },
+    {
+      "id": "light switch_0",
+      "label": "light switch",
+      "type": "light switch",
+      "x": -2.309326648712158,
+      "y": -0.25624486804008484,
+      "z": -0.337646484375,
+      "rotation_z": 0.0,
+      "width": 0.171875,
+      "length": 0.1318359375,
+      "height": 0.163330078125,
+      "n_gaussians": 418
+    },
+    {
+      "id": "picture frame_0",
+      "label": "picture frame",
+      "type": "picture frame",
+      "x": 0.7592493891716003,
+      "y": -0.28598886728286743,
+      "z": -0.4169921875,
+      "rotation_z": 0.0,
+      "width": 0.738037109375,
+      "length": 0.701171875,
+      "height": 0.25537109375,
+      "n_gaussians": 14714
+    },
+    {
+      "id": "pillow_0",
+      "label": "pillow",
+      "type": "pillow",
+      "x": 1.1036919355392456,
+      "y": 0.6224762797355652,
+      "z": 0.56640625,
+      "rotation_z": 0.0,
+      "width": 0.37744140625,
+      "length": 0.38623046875,
+      "height": 0.13623046875,
+      "n_gaussians": 2218
+    },
+    {
+      "id": "plant_0",
+      "label": "plant",
+      "type": "plant",
+      "x": -0.5609245300292969,
+      "y": 1.132336974143982,
+      "z": 1.033203125,
+      "rotation_z": 0.0,
+      "width": 0.7216796875,
+      "length": 0.466796875,
+      "height": 0.357666015625,
+      "n_gaussians": 3990
+    },
+    {
+      "id": "poster_0",
+      "label": "poster",
+      "type": "poster",
+      "x": 0.6989615559577942,
+      "y": 0.020951207727193832,
+      "z": -0.3134765625,
+      "rotation_z": 0.0,
+      "width": 0.6396484375,
+      "length": 0.708251953125,
+      "height": 0.71826171875,
+      "n_gaussians": 40733
+    },
+    {
+      "id": "shelf_0",
+      "label": "shelf",
+      "type": "shelf",
+      "x": -1.0789223909378052,
+      "y": 0.1173756867647171,
+      "z": -0.3447265625,
+      "rotation_z": 0.0,
+      "width": 0.88427734375,
+      "length": 0.751708984375,
+      "height": 0.930419921875,
+      "n_gaussians": 8439
+    },
+    {
+      "id": "storage bin_0",
+      "label": "storage bin",
+      "type": "storage bin",
+      "x": -0.4845743775367737,
+      "y": 0.6195777058601379,
+      "z": 0.443115234375,
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+      "width": 0.32421875,
+      "length": 0.40283203125,
+      "height": 0.386474609375,
+      "n_gaussians": 1784
+    },
+    {
+      "id": "table_0",
+      "label": "table",
+      "type": "table",
+      "x": -0.4873627722263336,
+      "y": 0.8619358539581299,
+      "z": 0.76904296875,
+      "rotation_z": 0.0,
+      "width": 2.088134765625,
+      "length": 1.87646484375,
+      "height": 0.9189453125,
+      "n_gaussians": 30351
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diff --git a/0239_txt_b72ba4077d48/meta/segmentation/views/cameras.json b/0239_txt_b72ba4077d48/meta/segmentation/views/cameras.json
new file mode 100644
index 0000000000000000000000000000000000000000..b042ade449f2b57a808e141b72a7174a8a4584ea
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/segmentation/views/cameras.json
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+]
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/visibility.json b/0239_txt_b72ba4077d48/meta/visibility.json
new file mode 100644
index 0000000000000000000000000000000000000000..d17fccb56a86c195b0ef683a9aba6c1c4bf9d9f4
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/visibility.json
@@ -0,0 +1,1974 @@
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+    "plant_0",
+    "shelf_0",
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+    "book_3",
+    "chair_1",
+    "picture frame_4",
+    "picture frame_6"
+  ],
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+    "plant_0",
+    "book_1",
+    "book_2",
+    "chair_1",
+    "light switch_1",
+    "picture frame_1",
+    "picture frame_4"
+  ],
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+    "book_1",
+    "book_3",
+    "picture frame_6"
+  ],
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+  "view_006": [
+    "plant_0",
+    "book_1",
+    "chair_1",
+    "light switch_1",
+    "picture frame_1"
+  ],
+  "view_006_step_down": [
+    "plant_0",
+    "book_1",
+    "chair_1"
+  ],
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+    "plant_0",
+    "poster_0",
+    "shelf_0",
+    "book_1",
+    "book_2",
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+    "chair_1",
+    "light switch_1",
+    "picture frame_1",
+    "picture frame_4"
+  ],
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+    "bowl_0",
+    "plant_0",
+    "shelf_0",
+    "book_1",
+    "book_2",
+    "book_3",
+    "chair_1",
+    "light switch_1",
+    "picture frame_1",
+    "picture frame_4",
+    "picture frame_6"
+  ],
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+    "pillow_0",
+    "plant_0",
+    "poster_0",
+    "book_1",
+    "card_1",
+    "chair_1",
+    "light switch_1",
+    "picture frame_1"
+  ],
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+    "plant_0",
+    "shelf_0",
+    "book_1",
+    "book_3",
+    "chair_1",
+    "light switch_1",
+    "picture frame_6"
+  ],
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+    "book_1",
+    "chair_1",
+    "light switch_1",
+    "picture frame_1"
+  ],
+  "view_006_step_pitch_up": [
+    "plant_0",
+    "book_1",
+    "book_2",
+    "chair_1",
+    "picture frame_1",
+    "picture frame_4"
+  ],
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+    "poster_0",
+    "picture frame_1"
+  ],
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+    "chair_1",
+    "light switch_1",
+    "picture frame_1"
+  ],
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+    "book_1",
+    "book_2",
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+    "light switch_1",
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+    "light switch_1",
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+    "light switch_1"
+  ],
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+    "plant_0",
+    "poster_0",
+    "book_1",
+    "card_1",
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+    "light switch_1",
+    "picture frame_1"
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+    "plant_0",
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+    "chair_1",
+    "light switch_1",
+    "picture frame_1",
+    "picture frame_4",
+    "picture frame_6"
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+    "pillow_0",
+    "poster_0",
+    "box_1",
+    "card_1",
+    "picture frame_1"
+  ],
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+    "book_1",
+    "chair_1",
+    "light switch_1"
+  ],
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+    "picture frame_1"
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+    "light switch_1",
+    "picture frame_1"
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+    "light switch_1",
+    "picture frame_1"
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+    "picture frame_1"
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+    "poster_0",
+    "picture frame_1"
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+    "pillow_0",
+    "poster_0",
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+    "card_1",
+    "picture frame_1"
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+    "plant_0",
+    "poster_0",
+    "book_1",
+    "card_1",
+    "chair_1",
+    "light switch_1",
+    "picture frame_1",
+    "picture frame_4"
+  ],
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+    "card_0",
+    "pillow_0",
+    "poster_0",
+    "box_1",
+    "card_1",
+    "picture frame_1",
+    "picture frame_2"
+  ],
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+    "picture frame_1"
+  ],
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+    "picture frame_1"
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+    "pillow_0",
+    "poster_0",
+    "card_1",
+    "picture frame_1"
+  ],
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+  ],
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+    "poster_0",
+    "picture frame_1"
+  ],
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+    "poster_0",
+    "picture frame_1"
+  ],
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+    "pillow_0",
+    "poster_0",
+    "box_1"
+  ],
+  "view_009_edge_left": [],
+  "view_009_edge_right": [
+    "card_0",
+    "box_1",
+    "picture frame_2",
+    "picture frame_3"
+  ],
+  "view_009": [
+    "card_0",
+    "pillow_0",
+    "poster_0",
+    "box_1"
+  ],
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+    "card_0",
+    "pillow_0",
+    "box_1",
+    "card_1"
+  ],
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+    "card_0",
+    "pillow_0",
+    "poster_0",
+    "box_1",
+    "card_1",
+    "picture frame_1",
+    "picture frame_2"
+  ],
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+    "card_0",
+    "pillow_0",
+    "poster_0",
+    "box_1",
+    "card_1",
+    "chair_1",
+    "picture frame_1"
+  ],
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+    "card_0",
+    "chair_0",
+    "picture frame_0",
+    "pillow_0",
+    "poster_0",
+    "box_1",
+    "card_1",
+    "picture frame_2",
+    "picture frame_3"
+  ],
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+    "poster_0",
+    "picture frame_1"
+  ],
+  "view_009_step_pitch_down": [
+    "poster_0"
+  ],
+  "view_009_step_pitch_up": [
+    "card_0",
+    "pillow_0",
+    "box_1",
+    "card_1"
+  ],
+  "view_009_step_right": [
+    "card_0",
+    "pillow_0",
+    "box_1",
+    "picture frame_2"
+  ],
+  "view_009_step_up": [
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+    "poster_0"
+  ],
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+    "poster_0"
+  ],
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+    "pillow_0",
+    "box_1",
+    "picture frame_2"
+  ],
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+  ],
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+    "picture frame_2",
+    "picture frame_3"
+  ],
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+    "card_0",
+    "picture frame_0",
+    "pillow_0",
+    "box_1",
+    "picture frame_2"
+  ],
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+    "pillow_0",
+    "box_1",
+    "card_1",
+    "picture frame_2"
+  ],
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+    "card_0",
+    "chair_0",
+    "picture frame_0",
+    "pillow_0",
+    "poster_0",
+    "box_1",
+    "card_1",
+    "picture frame_2",
+    "picture frame_3"
+  ],
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+    "card_0",
+    "pillow_0",
+    "poster_0",
+    "box_1",
+    "card_1",
+    "picture frame_1",
+    "picture frame_2"
+  ],
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+    "book_0",
+    "card_0",
+    "chair_0",
+    "desk_0",
+    "lid_0",
+    "picture frame_0",
+    "pillow_0",
+    "storage bin_0",
+    "table_0",
+    "thermostat_0",
+    "box_1",
+    "card_1",
+    "chair_2",
+    "picture frame_2",
+    "picture frame_3",
+    "picture frame_5"
+  ],
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+  ],
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+    "picture frame_2"
+  ],
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+    "card_0",
+    "pillow_0",
+    "box_1",
+    "card_1",
+    "picture frame_2"
+  ],
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+    "card_0",
+    "picture frame_0",
+    "box_1",
+    "picture frame_2",
+    "picture frame_3"
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+    "pillow_0",
+    "box_1",
+    "picture frame_2"
+  ],
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+    "pillow_0",
+    "box_1"
+  ],
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+    "picture frame_0",
+    "pillow_0",
+    "thermostat_0",
+    "box_1",
+    "picture frame_2",
+    "picture frame_3"
+  ],
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+    "pillow_0",
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+    "book_0",
+    "box_0",
+    "chair_0",
+    "desk_0",
+    "lid_0",
+    "picture frame_0",
+    "storage bin_0",
+    "table_0",
+    "thermostat_0",
+    "picture frame_3",
+    "picture frame_5"
+  ],
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+    "card_0",
+    "chair_0",
+    "picture frame_0",
+    "thermostat_0",
+    "box_1",
+    "picture frame_2",
+    "picture frame_3"
+  ],
+  "view_011_step_down": [
+    "card_0",
+    "chair_0",
+    "box_1",
+    "picture frame_2",
+    "picture frame_3"
+  ],
+  "view_011_step_forward": [
+    "bin_0",
+    "book_0",
+    "card_0",
+    "chair_0",
+    "desk_0",
+    "lid_0",
+    "picture frame_0",
+    "pillow_0",
+    "storage bin_0",
+    "table_0",
+    "thermostat_0",
+    "box_1",
+    "card_1",
+    "chair_2",
+    "picture frame_2",
+    "picture frame_3",
+    "picture frame_5"
+  ],
+  "view_011_step_forward_yaw_left": [
+    "card_0",
+    "chair_0",
+    "picture frame_0",
+    "pillow_0",
+    "poster_0",
+    "thermostat_0",
+    "box_1",
+    "card_1",
+    "picture frame_1",
+    "picture frame_2",
+    "picture frame_3"
+  ],
+  "view_011_step_forward_yaw_right": [
+    "bag_0",
+    "bin_0",
+    "book_0",
+    "box_0",
+    "card_0",
+    "chair_0",
+    "desk_0",
+    "lid_0",
+    "picture frame_0",
+    "storage bin_0",
+    "table_0",
+    "thermostat_0",
+    "box_1",
+    "chair_2",
+    "picture frame_2",
+    "picture frame_3",
+    "picture frame_5"
+  ],
+  "view_011_step_left": [],
+  "view_011_step_pitch_down": [
+    "picture frame_0",
+    "thermostat_0",
+    "picture frame_2",
+    "picture frame_3"
+  ],
+  "view_011_step_pitch_up": [
+    "card_0",
+    "chair_0",
+    "table_0",
+    "box_1",
+    "chair_2",
+    "picture frame_2",
+    "picture frame_3"
+  ],
+  "view_011_step_right": [
+    "bin_0",
+    "book_0",
+    "box_0",
+    "chair_0",
+    "desk_0",
+    "lid_0",
+    "picture frame_0",
+    "storage bin_0",
+    "table_0",
+    "thermostat_0",
+    "picture frame_2",
+    "picture frame_3",
+    "picture frame_5"
+  ],
+  "view_011_step_up": [
+    "picture frame_0",
+    "storage bin_0",
+    "thermostat_0",
+    "picture frame_2",
+    "picture frame_3"
+  ],
+  "view_011_step_yaw_left": [
+    "card_0",
+    "picture frame_0",
+    "pillow_0",
+    "box_1",
+    "picture frame_2",
+    "picture frame_3"
+  ],
+  "view_011_step_yaw_right": [
+    "bin_0",
+    "book_0",
+    "box_0",
+    "chair_0",
+    "desk_0",
+    "lid_0",
+    "picture frame_0",
+    "storage bin_0",
+    "table_0",
+    "thermostat_0",
+    "picture frame_2",
+    "picture frame_3",
+    "picture frame_5"
+  ]
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/world_full.json b/0239_txt_b72ba4077d48/meta/world_full.json
new file mode 100644
index 0000000000000000000000000000000000000000..c46223f84f7c866fbdcd5761096a1f6ecbb997fa
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/world_full.json
@@ -0,0 +1,41 @@
+{
+  "world_id": "1dd01ce2-2b12-4bcd-be07-573bca172e9f",
+  "display_name": "This is a cozy, personalized home office",
+  "tags": null,
+  "assets": {
+    "mesh": {
+      "collider_mesh_url": "https://cdn.marble.worldlabs.ai/1dd01ce2-2b12-4bcd-be07-573bca172e9f/b2704ceb.glb"
+    },
+    "imagery": {
+      "pano_url": "https://cdn.marble.worldlabs.ai/1dd01ce2-2b12-4bcd-be07-573bca172e9f/e588ec68-2ed8-42f5-a9b9-eb8f313f4575_panos/rgb_0.png"
+    },
+    "splats": {
+      "spz_urls": {
+        "500k": "https://cdn.marble.worldlabs.ai/1dd01ce2-2b12-4bcd-be07-573bca172e9f/0cf579aa-ccdc-4961-b8a6-374399fe63bc_ceramic_500k.spz",
+        "100k": "https://cdn.marble.worldlabs.ai/1dd01ce2-2b12-4bcd-be07-573bca172e9f/e9337469-1fb8-4e08-a9e9-91ecafd7fa84_dust_100k.spz",
+        "150k": "https://cdn.marble.worldlabs.ai/1dd01ce2-2b12-4bcd-be07-573bca172e9f/1e21fc81-f0cb-4e1e-82fc-39f88143a3c2_ceramic_150k.spz",
+        "full_res": "https://cdn.marble.worldlabs.ai/1dd01ce2-2b12-4bcd-be07-573bca172e9f/7b44c1a0-344a-4213-b274-0c65fa37b9b6_ceramic.spz"
+      },
+      "semantics_metadata": {
+        "metric_scale_factor": 0.5891474485397339,
+        "ground_plane_offset": 1.28554105758667
+      }
+    },
+    "thumbnail_url": "https://cdn.marble.worldlabs.ai/1dd01ce2-2b12-4bcd-be07-573bca172e9f/5ce66734-b49e-4ffc-a983-71c38f28c18d_sand_mpi/thumbnail.webp",
+    "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. "
+  },
+  "created_at": "2026-04-10T19:56:24Z",
+  "updated_at": "2026-04-10T20:02:20Z",
+  "permission": {
+    "public": false,
+    "allowed_readers": [],
+    "allowed_writers": [],
+    "allow_id_access": false
+  },
+  "world_prompt": {
+    "text_prompt": "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.",
+    "type": "text"
+  },
+  "world_marble_url": "https://marble.worldlabs.ai/world/1dd01ce2-2b12-4bcd-be07-573bca172e9f",
+  "model": "marble-1.1"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/meta/world_metadata.json b/0239_txt_b72ba4077d48/meta/world_metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..18acd10631a943b6df40647a947f6a67b572e3c1
--- /dev/null
+++ b/0239_txt_b72ba4077d48/meta/world_metadata.json
@@ -0,0 +1,53 @@
+{
+  "operation_id": "b2d19a31-8c15-4579-a3d5-642db69ee814",
+  "created_at": "2026-04-10T19:56:25Z",
+  "updated_at": "2026-04-10T20:02:20Z",
+  "expires_at": "2026-04-10T22:56:25Z",
+  "done": true,
+  "error": null,
+  "metadata": {
+    "progress": {
+      "status": "SUCCEEDED",
+      "description": "World generation completed successfully"
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diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_0.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_0.json
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+{
+  "type": "object_distance",
+  "question": "Calculate the 3D distance in meters between box (blue point) and chair (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
+  "answer": "1.19",
+  "camera_name": "rand_063",
+  "camera_position": [
+    0.5043265955704563,
+    -0.9174458182934735,
+    -0.40704426663013016
+  ],
+  "camera_look_at": [
+    0.7183700038675763,
+    -1.6249168899577617,
+    -0.9284389408319798
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "box",
+    "id": "box_0",
+    "centroid": [
+      1.0544344186782837,
+      -2.069040298461914,
+      -0.6025123596191406
+    ],
+    "distance_to_camera": 1.2911220853101437,
+    "width": 1.111083984375,
+    "length": 0.9066311120986938,
+    "height": 0.44086456298828125
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "chair",
+    "id": "chair_0",
+    "centroid": [
+      0.19375702738761902,
+      -1.3398154973983765,
+      -0.9942188262939453
+    ],
+    "distance_to_camera": 0.7871617152941625,
+    "width": 0.8229103088378906,
+    "length": 0.5543556213378906,
+    "height": 0.6681251525878906
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
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+  "image_path": "question_image_0.jpg"
+}
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diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_10.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_10.json
new file mode 100644
index 0000000000000000000000000000000000000000..906c5df14a6783e0373919ce5b1d158ee3ce95ba
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_10.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "What is the Euclidean distance between the center of bookshelf (blue point) and shelf (red point) in meters? Calculate or judge based on the 3D center points of these objects. Answer using a single number and nothing else.",
+  "answer": "0.88",
+  "camera_name": "rand_020",
+  "camera_position": [
+    0.7037591953201373,
+    -0.718272168233749,
+    -0.41109346239104827
+  ],
+  "camera_look_at": [
+    0.24488809921144772,
+    1.6295511300691152,
+    -0.5361422470056578
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "bookshelf",
+    "id": "bookshelf_1",
+    "centroid": [
+      0.4178919792175293,
+      1.2878831624984741,
+      -0.8674560785293579
+    ],
+    "distance_to_camera": 2.077172624910162,
+    "width": 0.2975097894668579,
+    "length": 0.3392578363418579,
+    "height": 0.555908203125
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "shelf",
+    "id": "shelf_1",
+    "centroid": [
+      0.8900377750396729,
+      0.6363433003425598,
+      -0.5077954083681107
+    ],
+    "distance_to_camera": 1.3707786266659874,
+    "width": 1.0875048637390137,
+    "length": 0.9253612756729126,
+    "height": 0.07522949576377869
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_10.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_11.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_11.json
new file mode 100644
index 0000000000000000000000000000000000000000..6b70dc01388abd7946b0ec06453baa455efc5f10
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_11.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "How far apart are sunglasses (blue point) and desk (red point) in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
+  "answer": "0.9",
+  "camera_name": "view_009",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -9.659257888793945,
+    1.774377005765162e-15,
+    -2.5881905555725098
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "sunglasses",
+    "id": "sunglasses_0",
+    "centroid": [
+      -1.103621244430542,
+      -0.1855262666940689,
+      -0.626220703125
+    ],
+    "distance_to_camera": 1.2824009575067488,
+    "width": 0.19189453125,
+    "length": 0.32426752895116806,
+    "height": 0.1015625
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "desk",
+    "id": "desk_1",
+    "centroid": [
+      -1.1225066184997559,
+      -0.7050848007202148,
+      -1.3616747856140137
+    ],
+    "distance_to_camera": 1.9003483645267232,
+    "width": 0.5147509574890137,
+    "length": 0.7464404404163361,
+    "height": 0.5915136337280273
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_11.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_14.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_14.json
new file mode 100644
index 0000000000000000000000000000000000000000..7e5a2dd6caf9d6eca068c25f8216b935f9eaa0c1
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_14.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "How far apart are bookshelf (blue point) and bookshelf (red point) in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
+  "answer": "1.17",
+  "camera_name": "rand_025",
+  "camera_position": [
+    -0.27343437488631056,
+    -0.30014283864668184,
+    -0.5557426860226444
+  ],
+  "camera_look_at": [
+    1.1008545684539732,
+    0.9213538830990325,
+    -0.6197351767115225
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "bookshelf",
+    "id": "bookshelf_1",
+    "centroid": [
+      0.4178919792175293,
+      1.2878831624984741,
+      -0.8674560785293579
+    ],
+    "distance_to_camera": 1.7598079290819288,
+    "width": 0.2975097894668579,
+    "length": 0.3392578363418579,
+    "height": 0.555908203125
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "bookshelf",
+    "id": "bookshelf_0",
+    "centroid": [
+      1.313517451286316,
+      0.6787940263748169,
+      -0.4371338188648224
+    ],
+    "distance_to_camera": 1.868368686223149,
+    "width": 1.473808765411377,
+    "length": 1.17041015625,
+    "height": 1.4363965392112732
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_14.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_15.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_15.json
new file mode 100644
index 0000000000000000000000000000000000000000..22b70dc30db86c8fac20e57727dd26ed360e75ce
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_15.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "What is the Euclidean distance between the center of photo (blue point) and chair (red point) in meters? Calculate or judge based on the 3D center points of these objects. Answer using a single number and nothing else.",
+  "answer": "1.61",
+  "camera_name": "view_011",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -4.829628944396973,
+    -8.36516284942627,
+    -2.5881905555725098
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+  "blue": {
+    "circle_color": "blue",
+    "label": "photo",
+    "id": "photo_0",
+    "centroid": [
+      -0.759278416633606,
+      -1.5729814767837524,
+      0.2860107421875
+    ],
+    "distance_to_camera": 1.769908637449141,
+    "width": 0.686767578125,
+    "length": 0.6591796875,
+    "height": 0.230224609375
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "chair",
+    "id": "chair_0",
+    "centroid": [
+      0.19375702738761902,
+      -1.3398154973983765,
+      -0.9942188262939453
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+    "distance_to_camera": 1.6796185362421598,
+    "width": 0.8229103088378906,
+    "length": 0.5543556213378906,
+    "height": 0.6681251525878906
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_15.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_16.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_16.json
new file mode 100644
index 0000000000000000000000000000000000000000..1a57f3d5f7f5776d7dc192889971626520e666d3
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_16.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "How far apart are shelf (blue point) and bookshelf (red point) in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
+  "answer": "0.84",
+  "camera_name": "rand_061",
+  "camera_position": [
+    0.6971467375252866,
+    -0.31097115259028796,
+    -0.45995182506944765
+  ],
+  "camera_look_at": [
+    0.8265625912916773,
+    0.5539412530140655,
+    -0.5877076483736388
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "shelf",
+    "id": "shelf_0",
+    "centroid": [
+      0.8857706189155579,
+      0.734611988067627,
+      -0.4510498046875
+    ],
+    "distance_to_camera": 1.062498149939886,
+    "width": 1.0848437547683716,
+    "length": 1.0363867282867432,
+    "height": 1.504638671875
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "bookshelf",
+    "id": "bookshelf_1",
+    "centroid": [
+      0.4178919792175293,
+      1.2878831624984741,
+      -0.8674560785293579
+    ],
+    "distance_to_camera": 1.6734330155412247,
+    "width": 0.2975097894668579,
+    "length": 0.3392578363418579,
+    "height": 0.555908203125
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_16.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_17.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_17.json
new file mode 100644
index 0000000000000000000000000000000000000000..950191ecfd2a82cc87c94688f3b487a930f008d2
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_17.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "What is the straight-line distance between photo (blue point) and sunglasses (red point)? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as one number.",
+  "answer": "1.22",
+  "camera_name": "view_008",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -8.36516284942627,
+    4.829628944396973,
+    -2.5881905555725098
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "photo",
+    "id": "photo_1",
+    "centroid": [
+      -0.6066189408302307,
+      0.6712506413459778,
+      0.0865478515625
+    ],
+    "distance_to_camera": 0.908875400421566,
+    "width": 0.47509765625,
+    "length": 0.533203125,
+    "height": 0.397705078125
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "sunglasses",
+    "id": "sunglasses_0",
+    "centroid": [
+      -1.103621244430542,
+      -0.1855262666940689,
+      -0.626220703125
+    ],
+    "distance_to_camera": 1.2824009575067488,
+    "width": 0.19189453125,
+    "length": 0.32426752895116806,
+    "height": 0.1015625
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_17.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_18.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_18.json
new file mode 100644
index 0000000000000000000000000000000000000000..c827fb51e5bb75043194ba263d560c5bc1c75020
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_18.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "Calculate the 3D distance in meters between poster (blue point) and book (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
+  "answer": "1.24",
+  "camera_name": "rand_048",
+  "camera_position": [
+    -0.1841579864870168,
+    -1.2945613028295921,
+    -0.6359284880871503
+  ],
+  "camera_look_at": [
+    -0.6237315060139061,
+    0.6253625016394899,
+    -0.7295127034144561
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "poster",
+    "id": "poster_0",
+    "centroid": [
+      -0.6467678546905518,
+      0.619057834148407,
+      -0.04981689155101776
+    ],
+    "distance_to_camera": 2.0541355591006765,
+    "width": 0.7074951231479645,
+    "length": 0.783935546875,
+    "height": 0.6860107481479645
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "book",
+    "id": "book_1",
+    "centroid": [
+      0.5308487415313721,
+      0.9819958806037903,
+      -0.20254638604819775
+    ],
+    "distance_to_camera": 2.4252355095786884,
+    "width": 0.451904296875,
+    "length": 0.48986339569091797,
+    "height": 0.5118994154036045
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_18.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_2.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_2.json
new file mode 100644
index 0000000000000000000000000000000000000000..bb322e71d593fb8c6c3bf6f4b9a167c748826051
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_2.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "How far apart are book (blue point) and bookshelf (red point) in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
+  "answer": "0.87",
+  "camera_name": "rand_001",
+  "camera_position": [
+    0.999290309247544,
+    -1.0953741518536357,
+    -0.4275838593512018
+  ],
+  "camera_look_at": [
+    1.3501675543463327,
+    0.6985842765105001,
+    -0.5563427754320732
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "book",
+    "id": "book_1",
+    "centroid": [
+      0.5308487415313721,
+      0.9819958806037903,
+      -0.20254638604819775
+    ],
+    "distance_to_camera": 2.141388712613185,
+    "width": 0.451904296875,
+    "length": 0.48986339569091797,
+    "height": 0.5118994154036045
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "bookshelf",
+    "id": "bookshelf_0",
+    "centroid": [
+      1.313517451286316,
+      0.6787940263748169,
+      -0.4371338188648224
+    ],
+    "distance_to_camera": 1.8018053788239818,
+    "width": 1.473808765411377,
+    "length": 1.17041015625,
+    "height": 1.4363965392112732
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_2.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_20.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_20.json
new file mode 100644
index 0000000000000000000000000000000000000000..c266f3304adcd8d99aaf32f770a3dd19e77d901d
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_20.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "Determine the spatial distance in meters separating book (blue point) from shelf (red point). Calculate or judge based on the 3D center points of these objects. Answer numerically.",
+  "answer": "0.58",
+  "camera_name": "rand_054",
+  "camera_position": [
+    -0.5179299777718059,
+    -0.008080615102598776,
+    -0.7371295770903861
+  ],
+  "camera_look_at": [
+    0.9579221674125822,
+    0.8734190495616383,
+    -0.8255961950407223
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "book",
+    "id": "book_1",
+    "centroid": [
+      0.5308487415313721,
+      0.9819958806037903,
+      -0.20254638604819775
+    ],
+    "distance_to_camera": 1.5381701653452735,
+    "width": 0.451904296875,
+    "length": 0.48986339569091797,
+    "height": 0.5118994154036045
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "shelf",
+    "id": "shelf_1",
+    "centroid": [
+      0.8900377750396729,
+      0.6363433003425598,
+      -0.5077954083681107
+    ],
+    "distance_to_camera": 1.5653272937945633,
+    "width": 1.0875048637390137,
+    "length": 0.9253612756729126,
+    "height": 0.07522949576377869
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_20.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_21.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_21.json
new file mode 100644
index 0000000000000000000000000000000000000000..786082f9d1cb72f0ba6e53f7698720e23a055883
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_21.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "Estimate the 3D Euclidean distance between book (blue point) and poster (red point) in meters. Calculate or judge based on the 3D center points of these objects. Answer with one number.",
+  "answer": "1.24",
+  "camera_name": "rand_048",
+  "camera_position": [
+    -0.1841579864870168,
+    -1.2945613028295921,
+    -0.6359284880871503
+  ],
+  "camera_look_at": [
+    -0.6237315060139061,
+    0.6253625016394899,
+    -0.7295127034144561
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "book",
+    "id": "book_1",
+    "centroid": [
+      0.5308487415313721,
+      0.9819958806037903,
+      -0.20254638604819775
+    ],
+    "distance_to_camera": 2.4252355095786884,
+    "width": 0.451904296875,
+    "length": 0.48986339569091797,
+    "height": 0.5118994154036045
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "poster",
+    "id": "poster_0",
+    "centroid": [
+      -0.6467678546905518,
+      0.619057834148407,
+      -0.04981689155101776
+    ],
+    "distance_to_camera": 2.0541355591006765,
+    "width": 0.7074951231479645,
+    "length": 0.783935546875,
+    "height": 0.6860107481479645
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_21.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_22.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_22.json
new file mode 100644
index 0000000000000000000000000000000000000000..506ce802a5a0615b364033fc1a451beefecf950e
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_22.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "How far apart are desk (blue point) and pegboard (red point) in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
+  "answer": "1.79",
+  "camera_name": "rand_050",
+  "camera_position": [
+    -0.33718128477306386,
+    -0.05693827538371782,
+    -0.5244140146707483
+  ],
+  "camera_look_at": [
+    0.6768605750089178,
+    -2.57894838546958,
+    -0.6625691304171178
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "desk",
+    "id": "desk_0",
+    "centroid": [
+      0.6864579319953918,
+      -1.5303361415863037,
+      -0.92974853515625
+    ],
+    "distance_to_camera": 1.8393027460790359,
+    "width": 1.574951171875,
+    "length": 1.461334228515625,
+    "height": 0.2105712890625
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "pegboard",
+    "id": "pegboard_0",
+    "centroid": [
+      -0.7868868708610535,
+      -1.5548685789108276,
+      0.0830078125
+    ],
+    "distance_to_camera": 1.677793665653501,
+    "width": 0.762939453125,
+    "length": 0.731689453125,
+    "height": 0.85791015625
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_22.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_23.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_23.json
new file mode 100644
index 0000000000000000000000000000000000000000..84943cd438ea4ab4ee50208a10cf867ad0a7fef8
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_23.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "Report the Euclidean distance in meters from desk (blue point) to chair (red point). Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
+  "answer": "0.53",
+  "camera_name": "rand_063",
+  "camera_position": [
+    0.5043265955704563,
+    -0.9174458182934735,
+    -0.40704426663013016
+  ],
+  "camera_look_at": [
+    0.7183700038675763,
+    -1.6249168899577617,
+    -0.9284389408319798
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "desk",
+    "id": "desk_0",
+    "centroid": [
+      0.6864579319953918,
+      -1.5303361415863037,
+      -0.92974853515625
+    ],
+    "distance_to_camera": 0.8258487297497944,
+    "width": 1.574951171875,
+    "length": 1.461334228515625,
+    "height": 0.2105712890625
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "chair",
+    "id": "chair_0",
+    "centroid": [
+      0.19375702738761902,
+      -1.3398154973983765,
+      -0.9942188262939453
+    ],
+    "distance_to_camera": 0.7871617152941625,
+    "width": 0.8229103088378906,
+    "length": 0.5543556213378906,
+    "height": 0.6681251525878906
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_23.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_24.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_24.json
new file mode 100644
index 0000000000000000000000000000000000000000..c6667bdf39269154af520c1ddae16777c23ea235
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_24.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "How far apart are book (blue point) and box (red point) in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
+  "answer": "0.55",
+  "camera_name": "rand_011",
+  "camera_position": [
+    0.8289436847300192,
+    -1.296128213808899,
+    -0.6142426374190362
+  ],
+  "camera_look_at": [
+    0.7247586562972396,
+    -1.621285722037542,
+    -0.8292683950046461
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "book",
+    "id": "book_0",
+    "centroid": [
+      0.7123234868049622,
+      -1.6936728954315186,
+      -0.8162841796875
+    ],
+    "distance_to_camera": 0.4609369037652864,
+    "width": 0.60400390625,
+    "length": 0.6007814407348633,
+    "height": 0.044189453125
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "box",
+    "id": "box_0",
+    "centroid": [
+      1.0544344186782837,
+      -2.069040298461914,
+      -0.6025123596191406
+    ],
+    "distance_to_camera": 0.8052184555240021,
+    "width": 1.111083984375,
+    "length": 0.9066311120986938,
+    "height": 0.44086456298828125
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_24.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_25.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_25.json
new file mode 100644
index 0000000000000000000000000000000000000000..02fd55599d2bcbfd419a3473b1406d3e1fc528aa
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_25.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "How many meters separate book (blue point) and photo (red point)? Calculate or judge based on the 3D center points of these objects. Reply with a number only.",
+  "answer": "0.69",
+  "camera_name": "view_001",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    4.829628944396973,
+    -8.36516284942627,
+    -2.5881905555725098
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "book",
+    "id": "book_0",
+    "centroid": [
+      0.7123234868049622,
+      -1.6936728954315186,
+      -0.8162841796875
+    ],
+    "distance_to_camera": 2.0105353736210305,
+    "width": 0.60400390625,
+    "length": 0.6007814407348633,
+    "height": 0.044189453125
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "photo",
+    "id": "photo_7",
+    "centroid": [
+      0.7724186182022095,
+      -2.364161252975464,
+      -0.6786938607692719
+    ],
+    "distance_to_camera": 2.578083456457883,
+    "width": 0.1777685284614563,
+    "length": 0.2727844715118408,
+    "height": 0.2685888409614563
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_25.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_26.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_26.json
new file mode 100644
index 0000000000000000000000000000000000000000..2f98671be95d1d2f298edbeb3af15b1bd2aed887
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_26.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "Measure the distance from box (blue point) to book (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single number.",
+  "answer": "0.55",
+  "camera_name": "rand_053",
+  "camera_position": [
+    0.9767563794057188,
+    -0.6880028723623409,
+    -0.660343683095244
+  ],
+  "camera_look_at": [
+    0.6812824288926271,
+    -1.5773419232292238,
+    -0.9093260561305019
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "box",
+    "id": "box_0",
+    "centroid": [
+      1.0544344186782837,
+      -2.069040298461914,
+      -0.6025123596191406
+    ],
+    "distance_to_camera": 1.3844286590676897,
+    "width": 1.111083984375,
+    "length": 0.9066311120986938,
+    "height": 0.44086456298828125
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "book",
+    "id": "book_0",
+    "centroid": [
+      0.7123234868049622,
+      -1.6936728954315186,
+      -0.8162841796875
+    ],
+    "distance_to_camera": 1.051481996263656,
+    "width": 0.60400390625,
+    "length": 0.6007814407348633,
+    "height": 0.044189453125
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_26.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_27.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_27.json
new file mode 100644
index 0000000000000000000000000000000000000000..d77201c8daf3c31d6b41c6031d2ee5e144fdd61b
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_27.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "What is the straight-line distance between photo (blue point) and photo (red point)? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as one number.",
+  "answer": "1.52",
+  "camera_name": "rand_033",
+  "camera_position": [
+    0.008958261562872244,
+    -0.14596130374573224,
+    -0.4262370698192457
+  ],
+  "camera_look_at": [
+    0.7162068703059106,
+    -2.3902215938719182,
+    -0.7089519898320822
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "photo",
+    "id": "photo_7",
+    "centroid": [
+      0.7724186182022095,
+      -2.364161252975464,
+      -0.6786938607692719
+    ],
+    "distance_to_camera": 2.359452725150354,
+    "width": 0.1777685284614563,
+    "length": 0.2727844715118408,
+    "height": 0.2685888409614563
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "photo",
+    "id": "photo_4",
+    "centroid": [
+      -0.5285824537277222,
+      -1.7989171743392944,
+      -0.1226806640625
+    ],
+    "distance_to_camera": 1.7644714852331274,
+    "width": 0.149169921875,
+    "length": 0.1455078125,
+    "height": 0.226806640625
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_27.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_29.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_29.json
new file mode 100644
index 0000000000000000000000000000000000000000..371bb946e28fcf5619761684f84e9e61d245ee15
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_29.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "How many meters separate cable (blue point) and photo (red point)? Calculate or judge based on the 3D center points of these objects. Reply with a number only.",
+  "answer": "1.49",
+  "camera_name": "rand_008",
+  "camera_position": [
+    0.05614492198450392,
+    -0.4997353577736152,
+    -0.6581116323088816
+  ],
+  "camera_look_at": [
+    0.22269631195972175,
+    -1.2899487941118342,
+    -0.9896460924940861
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "cable",
+    "id": "cable_0",
+    "centroid": [
+      1.309485673904419,
+      -1.9137613773345947,
+      -1.9972851276397705
+    ],
+    "distance_to_camera": 2.315970266435948,
+    "width": 0.39283204078674316,
+    "length": 0.3947265148162842,
+    "height": 0.304140567779541
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "photo",
+    "id": "photo_7",
+    "centroid": [
+      0.7724186182022095,
+      -2.364161252975464,
+      -0.6786938607692719
+    ],
+    "distance_to_camera": 1.997387181975739,
+    "width": 0.1777685284614563,
+    "length": 0.2727844715118408,
+    "height": 0.2685888409614563
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_29.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_31.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_31.json
new file mode 100644
index 0000000000000000000000000000000000000000..1f572867ec4f67157f6b37439a39d7929f5db34e
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_31.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "How far apart are cable (blue point) and photo (red point) in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
+  "answer": "1.49",
+  "camera_name": "rand_018",
+  "camera_position": [
+    0.2915632528084288,
+    -0.49673974320875214,
+    -0.40363166803676
+  ],
+  "camera_look_at": [
+    0.12477375331148544,
+    -1.2542298802779368,
+    -0.970257435826089
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "cable",
+    "id": "cable_0",
+    "centroid": [
+      1.309485673904419,
+      -1.9137613773345947,
+      -1.9972851276397705
+    ],
+    "distance_to_camera": 2.3630166559411383,
+    "width": 0.39283204078674316,
+    "length": 0.3947265148162842,
+    "height": 0.304140567779541
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "photo",
+    "id": "photo_7",
+    "centroid": [
+      0.7724186182022095,
+      -2.364161252975464,
+      -0.6786938607692719
+    ],
+    "distance_to_camera": 1.9478563056442815,
+    "width": 0.1777685284614563,
+    "length": 0.2727844715118408,
+    "height": 0.2685888409614563
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_31.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_33.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_33.json
new file mode 100644
index 0000000000000000000000000000000000000000..d511b5744ef5aa1f4f68eed1ea04cc97f3b82867
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_33.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "How many meters separate photo (blue point) and desk (red point)? Calculate or judge based on the 3D center points of these objects. Reply with a number only.",
+  "answer": "1.9",
+  "camera_name": "rand_051",
+  "camera_position": [
+    0.5296281730316958,
+    0.6715865458116252,
+    -0.4664356021527256
+  ],
+  "camera_look_at": [
+    -1.0937283564786897,
+    -0.23175365592600472,
+    -0.6209999040045974
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "photo",
+    "id": "photo_0",
+    "centroid": [
+      -0.759278416633606,
+      -1.5729814767837524,
+      0.2860107421875
+    ],
+    "distance_to_camera": 2.6954668067055345,
+    "width": 0.686767578125,
+    "length": 0.6591796875,
+    "height": 0.230224609375
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "desk",
+    "id": "desk_1",
+    "centroid": [
+      -1.1225066184997559,
+      -0.7050848007202148,
+      -1.3616747856140137
+    ],
+    "distance_to_camera": 2.329426230073598,
+    "width": 0.5147509574890137,
+    "length": 0.7464404404163361,
+    "height": 0.5915136337280273
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_33.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_35.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_35.json
new file mode 100644
index 0000000000000000000000000000000000000000..1145a0ab72b581348fd6ee2a91a47f5c3cb35754
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_35.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "What is the Euclidean distance between the center of photo (blue point) and photo (red point) in meters? Calculate or judge based on the 3D center points of these objects. Answer using a single number and nothing else.",
+  "answer": "0.52",
+  "camera_name": "view_000",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    0.0,
+    -9.659257888793945,
+    -2.5881905555725098
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "photo",
+    "id": "photo_3",
+    "centroid": [
+      -0.9069451689720154,
+      -1.4368290901184082,
+      -0.1190185546875
+    ],
+    "distance_to_camera": 1.7032888158184072,
+    "width": 0.42116212844848633,
+    "length": 0.41357421875,
+    "height": 0.215087890625
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "photo",
+    "id": "photo_4",
+    "centroid": [
+      -0.5285824537277222,
+      -1.7989171743392944,
+      -0.1226806640625
+    ],
+    "distance_to_camera": 1.878976571396383,
+    "width": 0.149169921875,
+    "length": 0.1455078125,
+    "height": 0.226806640625
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_35.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_36.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_36.json
new file mode 100644
index 0000000000000000000000000000000000000000..c338b34d9bfcdfa8e86b80feb416a4a10e5372cd
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_36.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "Determine the spatial distance in meters separating light switch (blue point) from bookshelf (red point). Calculate or judge based on the 3D center points of these objects. Answer numerically.",
+  "answer": "1.49",
+  "camera_name": "rand_056",
+  "camera_position": [
+    0.36609971939760455,
+    -0.7455716769041889,
+    -0.4254729463554434
+  ],
+  "camera_look_at": [
+    1.238163750081621,
+    0.704074897398625,
+    -0.5191283029867955
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "light switch",
+    "id": "light switch_1",
+    "centroid": [
+      0.21875233948230743,
+      1.5391556024551392,
+      0.10424316674470901
+    ],
+    "distance_to_camera": 2.349955138272753,
+    "width": 0.09864257276058197,
+    "length": 0.11923825740814209,
+    "height": 0.20737303793430328
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "bookshelf",
+    "id": "bookshelf_0",
+    "centroid": [
+      1.313517451286316,
+      0.6787940263748169,
+      -0.4371338188648224
+    ],
+    "distance_to_camera": 1.7107173908399735,
+    "width": 1.473808765411377,
+    "length": 1.17041015625,
+    "height": 1.4363965392112732
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_36.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_37.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_37.json
new file mode 100644
index 0000000000000000000000000000000000000000..bc11fa3ef13aacd84930c37bc0a209e557d0489f
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_37.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "Report the Euclidean distance in meters from light switch (blue point) to shelf (red point). Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
+  "answer": "1.28",
+  "camera_name": "view_005",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    4.829628944396973,
+    8.36516284942627,
+    -2.5881905555725098
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "light switch",
+    "id": "light switch_1",
+    "centroid": [
+      0.21875233948230743,
+      1.5391556024551392,
+      0.10424316674470901
+    ],
+    "distance_to_camera": 1.5581139856926356,
+    "width": 0.09864257276058197,
+    "length": 0.11923825740814209,
+    "height": 0.20737303793430328
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "shelf",
+    "id": "shelf_1",
+    "centroid": [
+      0.8900377750396729,
+      0.6363433003425598,
+      -0.5077954083681107
+    ],
+    "distance_to_camera": 1.2062156580181542,
+    "width": 1.0875048637390137,
+    "length": 0.9253612756729126,
+    "height": 0.07522949576377869
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_37.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_38.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_38.json
new file mode 100644
index 0000000000000000000000000000000000000000..6343a75de4745a08ea973d3777f4d18820022b9f
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_38.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "Report the Euclidean distance in meters from shelf (blue point) to light switch (red point). Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
+  "answer": "1.28",
+  "camera_name": "rand_017",
+  "camera_position": [
+    -0.26588954761004874,
+    -0.037666728647999206,
+    -0.40256266285034936
+  ],
+  "camera_look_at": [
+    0.9231422097167913,
+    0.8958329729355744,
+    -0.5199952170808937
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "shelf",
+    "id": "shelf_1",
+    "centroid": [
+      0.8900377750396729,
+      0.6363433003425598,
+      -0.5077954083681107
+    ],
+    "distance_to_camera": 1.342211393617717,
+    "width": 1.0875048637390137,
+    "length": 0.9253612756729126,
+    "height": 0.07522949576377869
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "light switch",
+    "id": "light switch_1",
+    "centroid": [
+      0.21875233948230743,
+      1.5391556024551392,
+      0.10424316674470901
+    ],
+    "distance_to_camera": 1.7257168283068665,
+    "width": 0.09864257276058197,
+    "length": 0.11923825740814209,
+    "height": 0.20737303793430328
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_38.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_39.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_39.json
new file mode 100644
index 0000000000000000000000000000000000000000..1f27cae9efeeaa02bd6b43321070cc1c4c79ec9e
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_39.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "Calculate the 3D distance in meters between desk (blue point) and photo (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
+  "answer": "1.9",
+  "camera_name": "rand_051",
+  "camera_position": [
+    0.5296281730316958,
+    0.6715865458116252,
+    -0.4664356021527256
+  ],
+  "camera_look_at": [
+    -1.0937283564786897,
+    -0.23175365592600472,
+    -0.6209999040045974
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "desk",
+    "id": "desk_1",
+    "centroid": [
+      -1.1225066184997559,
+      -0.7050848007202148,
+      -1.3616747856140137
+    ],
+    "distance_to_camera": 2.329426230073598,
+    "width": 0.5147509574890137,
+    "length": 0.7464404404163361,
+    "height": 0.5915136337280273
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "photo",
+    "id": "photo_0",
+    "centroid": [
+      -0.759278416633606,
+      -1.5729814767837524,
+      0.2860107421875
+    ],
+    "distance_to_camera": 2.6954668067055345,
+    "width": 0.686767578125,
+    "length": 0.6591796875,
+    "height": 0.230224609375
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_39.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_4.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_4.json
new file mode 100644
index 0000000000000000000000000000000000000000..7653b3a26341c1821bf45ae80358fe713b26a152
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_4.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "Estimate the 3D Euclidean distance between bookshelf (blue point) and photo (red point) in meters. Calculate or judge based on the 3D center points of these objects. Answer with one number.",
+  "answer": "0.83",
+  "camera_name": "rand_056",
+  "camera_position": [
+    0.36609971939760455,
+    -0.7455716769041889,
+    -0.4254729463554434
+  ],
+  "camera_look_at": [
+    1.238163750081621,
+    0.704074897398625,
+    -0.5191283029867955
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "bookshelf",
+    "id": "bookshelf_1",
+    "centroid": [
+      0.4178919792175293,
+      1.2878831624984741,
+      -0.8674560785293579
+    ],
+    "distance_to_camera": 2.081578754501887,
+    "width": 0.2975097894668579,
+    "length": 0.3392578363418579,
+    "height": 0.555908203125
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "photo",
+    "id": "photo_2",
+    "centroid": [
+      0.9540694952011108,
+      0.9343600273132324,
+      -0.3493652194738388
+    ],
+    "distance_to_camera": 1.7814801077150315,
+    "width": 0.5647362470626831,
+    "length": 0.45330071449279785,
+    "height": 1.5678026974201202
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_4.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_40.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_40.json
new file mode 100644
index 0000000000000000000000000000000000000000..b0ca5ca38a7301d93b3cf2357f70c15c2be5f938
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_40.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "What is the distance in meters between the centers of tissue box (blue point) and pegboard (red point)? Calculate or judge based on the 3D center points of these objects. State a single number.",
+  "answer": "1.5",
+  "camera_name": "view_011",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -4.829628944396973,
+    -8.36516284942627,
+    -2.5881905555725098
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "tissue box",
+    "id": "tissue box_0",
+    "centroid": [
+      -1.3447366952896118,
+      -0.7116829752922058,
+      -1.0291747748851776
+    ],
+    "distance_to_camera": 1.8368478854382986,
+    "width": 0.41841793060302734,
+    "length": 0.28137701749801636,
+    "height": 0.12516599893569946
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "pegboard",
+    "id": "pegboard_0",
+    "centroid": [
+      -0.7868868708610535,
+      -1.5548685789108276,
+      0.0830078125
+    ],
+    "distance_to_camera": 1.7446195981226715,
+    "width": 0.762939453125,
+    "length": 0.731689453125,
+    "height": 0.85791015625
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_40.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_41.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_41.json
new file mode 100644
index 0000000000000000000000000000000000000000..4b10da08e6affd73f5a5df1dae661104c0c9144a
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_41.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "Report the Euclidean distance in meters from tissue box (blue point) to pegboard (red point). Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
+  "answer": "1.5",
+  "camera_name": "view_010",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -8.36516284942627,
+    -4.829628944396973,
+    -2.5881905555725098
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "tissue box",
+    "id": "tissue box_0",
+    "centroid": [
+      -1.3447366952896118,
+      -0.7116829752922058,
+      -1.0291747748851776
+    ],
+    "distance_to_camera": 1.8368478854382986,
+    "width": 0.41841793060302734,
+    "length": 0.28137701749801636,
+    "height": 0.12516599893569946
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "pegboard",
+    "id": "pegboard_0",
+    "centroid": [
+      -0.7868868708610535,
+      -1.5548685789108276,
+      0.0830078125
+    ],
+    "distance_to_camera": 1.7446195981226715,
+    "width": 0.762939453125,
+    "length": 0.731689453125,
+    "height": 0.85791015625
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_41.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_6.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_6.json
new file mode 100644
index 0000000000000000000000000000000000000000..d8c1d118c88896d704b91a53e4c846796ae33446
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_6.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "What is the straight-line distance between shelf (blue point) and poster (red point)? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as one number.",
+  "answer": "1.59",
+  "camera_name": "rand_045",
+  "camera_position": [
+    -0.2349200945983761,
+    -1.307365827335195,
+    -0.5177307981267103
+  ],
+  "camera_look_at": [
+    0.9943282479996135,
+    0.9652452965894569,
+    -0.6490259573660495
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "shelf",
+    "id": "shelf_0",
+    "centroid": [
+      0.8857706189155579,
+      0.734611988067627,
+      -0.4510498046875
+    ],
+    "distance_to_camera": 2.3302505077436826,
+    "width": 1.0848437547683716,
+    "length": 1.0363867282867432,
+    "height": 1.504638671875
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "poster",
+    "id": "poster_0",
+    "centroid": [
+      -0.6467678546905518,
+      0.619057834148407,
+      -0.04981689155101776
+    ],
+    "distance_to_camera": 2.0247642146639584,
+    "width": 0.7074951231479645,
+    "length": 0.783935546875,
+    "height": 0.6860107481479645
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_6.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_7.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_7.json
new file mode 100644
index 0000000000000000000000000000000000000000..5aceed2682ece517a43c8e5df46ed04051b7a8ac
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_7.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "Calculate the 3D distance in meters between photo (blue point) and photo (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
+  "answer": "0.52",
+  "camera_name": "rand_007",
+  "camera_position": [
+    0.7474430276499611,
+    -0.9874959491868368,
+    -0.7007589900694631
+  ],
+  "camera_look_at": [
+    1.2333614325811038,
+    0.7511991107162219,
+    -0.8016419535960484
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "photo",
+    "id": "photo_2",
+    "centroid": [
+      0.9540694952011108,
+      0.9343600273132324,
+      -0.3493652194738388
+    ],
+    "distance_to_camera": 1.9646125504829473,
+    "width": 0.5647362470626831,
+    "length": 0.45330071449279785,
+    "height": 1.5678026974201202
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "photo",
+    "id": "photo_6",
+    "centroid": [
+      1.3596031665802002,
+      0.6169655919075012,
+      -0.39179688692092896
+    ],
+    "distance_to_camera": 1.7448479743885634,
+    "width": 0.270263671875,
+    "length": 0.2228027582168579,
+    "height": 0.1683593988418579
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_7.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/003_object_distance/question_9.json b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_9.json
new file mode 100644
index 0000000000000000000000000000000000000000..5828fa9b3db3e3fd298e4eff602e025767d2dfda
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/003_object_distance/question_9.json
@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "What is the straight-line distance between shelf (blue point) and bookshelf (red point)? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as one number.",
+  "answer": "0.84",
+  "camera_name": "rand_061",
+  "camera_position": [
+    0.6971467375252866,
+    -0.31097115259028796,
+    -0.45995182506944765
+  ],
+  "camera_look_at": [
+    0.8265625912916773,
+    0.5539412530140655,
+    -0.5877076483736388
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "shelf",
+    "id": "shelf_0",
+    "centroid": [
+      0.8857706189155579,
+      0.734611988067627,
+      -0.4510498046875
+    ],
+    "distance_to_camera": 1.062498149939886,
+    "width": 1.0848437547683716,
+    "length": 1.0363867282867432,
+    "height": 1.504638671875
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "bookshelf",
+    "id": "bookshelf_1",
+    "centroid": [
+      0.4178919792175293,
+      1.2878831624984741,
+      -0.8674560785293579
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+    "distance_to_camera": 1.6734330155412247,
+    "width": 0.2975097894668579,
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+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_9.jpg"
+}
\ No newline at end of file
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diff --git a/0239_txt_b72ba4077d48/tasks/020_depth_difference/question_image_7.jpg b/0239_txt_b72ba4077d48/tasks/020_depth_difference/question_image_7.jpg
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diff --git a/0239_txt_b72ba4077d48/tasks/020_depth_difference/question_image_8.jpg b/0239_txt_b72ba4077d48/tasks/020_depth_difference/question_image_8.jpg
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diff --git a/0239_txt_b72ba4077d48/tasks/020_depth_difference/question_image_9.jpg b/0239_txt_b72ba4077d48/tasks/020_depth_difference/question_image_9.jpg
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diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_0.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_0.json
new file mode 100644
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--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_0.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Please locate the photo in the image. Your answer should be a bounding box [x_min, y_min, x_max, y_max] with normalized coordinates between 0 and 1.",
+  "answer": "[(0.495, 0.127), (0.436, 0.169), (0.336, 0.192), (0.501, 0.162), (0.586, 0.149), (0.47, 0.152), (0.441, 0.162), (0.379, 0.218), (0.614, 0.155), (0.648, 0.185), (0.495, 0.087), (0.372, 0.153), (0.651, 0.186), (0.444, 0.12), (0.592, 0.126), (0.463, 0.093)]",
+  "camera_name": "view_011",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -4.829628944396973,
+    -8.36516284942627,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "photo",
+    "id": "photo_0",
+    "centroid": [
+      -0.759278416633606,
+      -1.5729814767837524,
+      0.2860107421875
+    ],
+    "bbox_2d": [
+      0.298,
+      0.0,
+      0.63,
+      0.139
+    ],
+    "width": 0.686767578125,
+    "length": 0.6591796875,
+    "height": 0.230224609375
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_0.jpg",
+  "ground_truth_mask": "question_mask_0.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_10.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_10.json
new file mode 100644
index 0000000000000000000000000000000000000000..f8b23c7bb9673b9682a62c951e298bd4ccef584d
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_10.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Detect the thermostat in this image. Provide the bounding box [x_min, y_min, x_max, y_max] in normalized coordinates.",
+  "answer": "[(0.559, 0.159), (0.562, 0.086), (0.584, 0.144), (0.575, 0.091), (0.586, 0.105), (0.583, 0.082), (0.569, 0.108), (0.566, 0.076), (0.578, 0.15), (0.559, 0.164), (0.569, 0.122), (0.564, 0.135), (0.583, 0.071), (0.568, 0.081), (0.556, 0.119), (0.569, 0.087)]",
+  "camera_name": "view_000",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    0.0,
+    -9.659257888793945,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "thermostat",
+    "id": "thermostat_0",
+    "centroid": [
+      -0.24676235020160675,
+      -2.050767183303833,
+      0.4190673828125
+    ],
+    "bbox_2d": [
+      0.555,
+      0.0,
+      0.598,
+      0.051
+    ],
+    "width": 0.1206933856010437,
+    "length": 0.09796404838562012,
+    "height": 0.197509765625
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_10.jpg",
+  "ground_truth_mask": "question_mask_10.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_11.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_11.json
new file mode 100644
index 0000000000000000000000000000000000000000..172723716c5949f7715cf9f8756dd367f3947c71
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_11.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Find the shelf and provide its bounding box as [x_min, y_min, x_max, y_max] with coordinates normalized to 0-1.",
+  "answer": "[(0.2, 0.169), (0.163, 0.101), (0.434, 0.158), (0.315, 0.134), (0.532, 0.123), (0.308, 0.119), (0.372, 0.17), (0.24, 0.177), (0.56, 0.754), (0.346, 0.167), (0.174, 0.119), (0.304, 0.183), (0.162, 0.712), (0.314, 0.134), (0.366, 0.159), (0.447, 0.153)]",
+  "camera_name": "rand_038",
+  "camera_position": [
+    -0.2811781792541255,
+    -0.8493343420959873,
+    -0.5641272586839721
+  ],
+  "camera_look_at": [
+    1.3640660943258025,
+    0.6182413398597877,
+    -0.6381168772505004
+  ],
+  "object": {
+    "label": "shelf",
+    "id": "shelf_0",
+    "centroid": [
+      0.8857706189155579,
+      0.734611988067627,
+      -0.4510498046875
+    ],
+    "bbox_2d": [
+      0.138,
+      0.0,
+      0.6,
+      1.0
+    ],
+    "width": 1.0848437547683716,
+    "length": 1.0363867282867432,
+    "height": 1.504638671875
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_11.jpg",
+  "ground_truth_mask": "question_mask_11.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_14.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_14.json
new file mode 100644
index 0000000000000000000000000000000000000000..c2c53a158b5309f76fdd8a1f4e095f9b1758d6ac
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_14.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Mark the tissue box with a bounding box [x_min, y_min, x_max, y_max]. Use normalized coordinates (0 to 1).",
+  "answer": "[(0.032, 0.304), (0.017, 0.302), (0.038, 0.427), (0.076, 0.298), (0.069, 0.246), (0.076, 0.408), (0.086, 0.302), (0.054, 0.289), (0.086, 0.325), (0.042, 0.276), (0.071, 0.309), (0.076, 0.387), (0.004, 0.327), (0.056, 0.353), (0.046, 0.292), (0.074, 0.312)]",
+  "camera_name": "rand_036",
+  "camera_position": [
+    -0.3937222216657502,
+    0.08616888742931397,
+    -0.5913969405237585
+  ],
+  "camera_look_at": [
+    -1.0707375026220998,
+    0.09909866956674931,
+    -1.1154735835383907
+  ],
+  "object": {
+    "label": "tissue box",
+    "id": "tissue box_0",
+    "centroid": [
+      -1.3447366952896118,
+      -0.7116829752922058,
+      -1.0291747748851776
+    ],
+    "bbox_2d": [
+      0.0,
+      0.135,
+      0.178,
+      0.444
+    ],
+    "width": 0.41841793060302734,
+    "length": 0.28137701749801636,
+    "height": 0.12516599893569946
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_14.jpg",
+  "ground_truth_mask": "question_mask_14.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_15.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_15.json
new file mode 100644
index 0000000000000000000000000000000000000000..2e8a57d3ac790a44443a132a9a14fa0d7c4b0b7b
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_15.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Point out the tissue box by giving its bounding box [x_min, y_min, x_max, y_max] in normalized image coordinates.",
+  "answer": "[(0.039, 0.25), (0.073, 0.254), (0.046, 0.282), (0.098, 0.398), (0.086, 0.314), (0.008, 0.293), (0.048, 0.255), (0.103, 0.389), (0.083, 0.404), (0.049, 0.387), (0.008, 0.428), (0.069, 0.259), (0.097, 0.327), (0.054, 0.264), (0.053, 0.272), (0.043, 0.302)]",
+  "camera_name": "rand_036",
+  "camera_position": [
+    -0.3937222216657502,
+    0.08616888742931397,
+    -0.5913969405237585
+  ],
+  "camera_look_at": [
+    -1.0707375026220998,
+    0.09909866956674931,
+    -1.1154735835383907
+  ],
+  "object": {
+    "label": "tissue box",
+    "id": "tissue box_0",
+    "centroid": [
+      -1.3447366952896118,
+      -0.7116829752922058,
+      -1.0291747748851776
+    ],
+    "bbox_2d": [
+      0.0,
+      0.135,
+      0.178,
+      0.444
+    ],
+    "width": 0.41841793060302734,
+    "length": 0.28137701749801636,
+    "height": 0.12516599893569946
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_15.jpg",
+  "ground_truth_mask": "question_mask_15.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_17.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_17.json
new file mode 100644
index 0000000000000000000000000000000000000000..8e8812a8b21b60d55edb20df5d421d72bab88eaa
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_17.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Specify the location of the photo as a bounding box [x_min, y_min, x_max, y_max] with coordinates from 0 to 1.",
+  "answer": "[(0.018, 0.13), (0.01, 0.126), (0.079, 0.136), (0.026, 0.199), (0.013, 0.127), (0.094, 0.174), (0.093, 0.194), (0.025, 0.205), (0.02, 0.139), (0.012, 0.224), (0.047, 0.206), (0.06, 0.204), (0.08, 0.205), (0.069, 0.218), (0.065, 0.178), (0.04, 0.13)]",
+  "camera_name": "rand_037",
+  "camera_position": [
+    0.18026246252198483,
+    -1.584162713548229,
+    -0.44535557382250235
+  ],
+  "camera_look_at": [
+    0.950244356610906,
+    -1.0434022789684025,
+    -1.1781412258261168
+  ],
+  "object": {
+    "label": "photo",
+    "id": "photo_2",
+    "centroid": [
+      0.9540694952011108,
+      0.9343600273132324,
+      -0.3493652194738388
+    ],
+    "bbox_2d": [
+      0.0,
+      0.0,
+      0.159,
+      0.204
+    ],
+    "width": 0.5647362470626831,
+    "length": 0.45330071449279785,
+    "height": 1.5678026974201202
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_17.jpg",
+  "ground_truth_mask": "question_mask_17.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_18.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_18.json
new file mode 100644
index 0000000000000000000000000000000000000000..f4a7102f7756130adf1cce31a22ed7b25fecec9d
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_18.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Find the shelf and provide its bounding box as [x_min, y_min, x_max, y_max] with coordinates normalized to 0-1.",
+  "answer": "[(0.961, 0.103), (0.981, 0.051), (0.904, 0.653), (0.984, 0.083), (0.762, 0.664), (0.894, 0.643), (0.857, 0.096), (0.758, 0.652), (0.86, 0.105), (0.924, 0.653), (0.931, 0.122), (0.856, 0.639), (0.941, 0.665), (0.775, 0.626), (0.825, 0.116), (0.895, 0.144)]",
+  "camera_name": "rand_048",
+  "camera_position": [
+    -0.1841579864870168,
+    -1.2945613028295921,
+    -0.6359284880871503
+  ],
+  "camera_look_at": [
+    -0.6237315060139061,
+    0.6253625016394899,
+    -0.7295127034144561
+  ],
+  "object": {
+    "label": "shelf",
+    "id": "shelf_0",
+    "centroid": [
+      0.8857706189155579,
+      0.734611988067627,
+      -0.4510498046875
+    ],
+    "bbox_2d": [
+      0.76,
+      0.0,
+      1.0,
+      0.961
+    ],
+    "width": 1.0848437547683716,
+    "length": 1.0363867282867432,
+    "height": 1.504638671875
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_18.jpg",
+  "ground_truth_mask": "question_mask_18.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_2.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_2.json
new file mode 100644
index 0000000000000000000000000000000000000000..6fd6dc4124a169f3e824a1bbc6e79b801ae04bdf
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_2.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Find the sunglasses and provide its bounding box as [x_min, y_min, x_max, y_max] with coordinates normalized to 0-1.",
+  "answer": "[(0.004, 0.768), (0.127, 0.795), (0.108, 0.791), (0.081, 0.786), (0.193, 0.756), (0.022, 0.835), (0.127, 0.752), (0.158, 0.787), (0.015, 0.841), (0.124, 0.819), (0.023, 0.829), (0.096, 0.792), (0.14, 0.78), (0.14, 0.755), (0.039, 0.791), (0.139, 0.801)]",
+  "camera_name": "view_008",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -8.36516284942627,
+    4.829628944396973,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "sunglasses",
+    "id": "sunglasses_0",
+    "centroid": [
+      -1.103621244430542,
+      -0.1855262666940689,
+      -0.626220703125
+    ],
+    "bbox_2d": [
+      0.0,
+      0.759,
+      0.2,
+      1.0
+    ],
+    "width": 0.19189453125,
+    "length": 0.32426752895116806,
+    "height": 0.1015625
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_2.jpg",
+  "ground_truth_mask": "question_mask_2.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_20.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_20.json
new file mode 100644
index 0000000000000000000000000000000000000000..53ec3dfe1a596dda882d9e2247f9200e29ab155f
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_20.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Point out the box by giving its bounding box [x_min, y_min, x_max, y_max] in normalized image coordinates.",
+  "answer": "[(0.346, 0.447), (0.397, 0.546), (0.34, 0.495), (0.266, 0.526), (0.262, 0.554), (0.366, 0.449), (0.279, 0.556), (0.19, 0.533), (0.432, 0.515), (0.353, 0.418), (0.367, 0.492), (0.422, 0.533), (0.34, 0.51), (0.195, 0.53), (0.32, 0.515), (0.488, 0.483)]",
+  "camera_name": "rand_050",
+  "camera_position": [
+    -0.33718128477306386,
+    -0.05693827538371782,
+    -0.5244140146707483
+  ],
+  "camera_look_at": [
+    0.6768605750089178,
+    -2.57894838546958,
+    -0.6625691304171178
+  ],
+  "object": {
+    "label": "box",
+    "id": "box_0",
+    "centroid": [
+      1.0544344186782837,
+      -2.069040298461914,
+      -0.6025123596191406
+    ],
+    "bbox_2d": [
+      0.174,
+      0.364,
+      0.531,
+      0.62
+    ],
+    "width": 1.111083984375,
+    "length": 0.9066311120986938,
+    "height": 0.44086456298828125
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_20.jpg",
+  "ground_truth_mask": "question_mask_20.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_21.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_21.json
new file mode 100644
index 0000000000000000000000000000000000000000..7cfdb6fc28dc8df0b1b146cd9af7ce6bdf0d4b39
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_21.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Please locate the desk in the image. Your answer should be a bounding box [x_min, y_min, x_max, y_max] with normalized coordinates between 0 and 1.",
+  "answer": "[(0.133, 0.557), (0.144, 0.618), (0.129, 0.595), (0.035, 0.824), (0.024, 0.477), (0.3, 0.535), (0.053, 0.52), (0.026, 0.75), (0.087, 0.606), (0.093, 0.529), (0.245, 0.522), (0.079, 0.623), (0.014, 0.5), (0.18, 0.6), (0.272, 0.542), (0.013, 0.564)]",
+  "camera_name": "rand_034",
+  "camera_position": [
+    -0.06873393698242636,
+    -0.17862034861933412,
+    -0.6182904998442451
+  ],
+  "camera_look_at": [
+    -0.9521084407858205,
+    0.05397691707940011,
+    -1.056087475021078
+  ],
+  "object": {
+    "label": "desk",
+    "id": "desk_1",
+    "centroid": [
+      -1.1225066184997559,
+      -0.7050848007202148,
+      -1.3616747856140137
+    ],
+    "bbox_2d": [
+      0.0,
+      0.399,
+      0.321,
+      1.0
+    ],
+    "width": 0.5147509574890137,
+    "length": 0.7464404404163361,
+    "height": 0.5915136337280273
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_21.jpg",
+  "ground_truth_mask": "question_mask_21.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_22.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_22.json
new file mode 100644
index 0000000000000000000000000000000000000000..0dfb70587a1f0f8e256cd81b919527d835d60269
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_22.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Specify the location of the book as a bounding box [x_min, y_min, x_max, y_max] with coordinates from 0 to 1.",
+  "answer": "[(0.85, 0.157), (0.985, 0.93), (0.528, 0.606), (0.762, 0.815), (0.673, 0.91), (0.09, 0.47), (0.715, 0.781), (0.516, 0.37), (0.936, 0.818), (0.396, 0.348), (0.437, 0.627), (0.364, 0.148), (0.505, 0.392), (0.89, 0.321), (0.688, 0.346), (0.697, 0.933)]",
+  "camera_name": "rand_014",
+  "camera_position": [
+    0.6149954204191269,
+    -0.4036288402799256,
+    -0.568165122930713
+  ],
+  "camera_look_at": [
+    0.6723078197333697,
+    -2.528908590947716,
+    -0.6806560793368546
+  ],
+  "object": {
+    "label": "book",
+    "id": "book_0",
+    "centroid": [
+      0.7123234868049622,
+      -1.6936728954315186,
+      -0.8162841796875
+    ],
+    "bbox_2d": [
+      0.287,
+      0.589,
+      0.633,
+      0.723
+    ],
+    "width": 0.60400390625,
+    "length": 0.6007814407348633,
+    "height": 0.044189453125
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_22.jpg",
+  "ground_truth_mask": "question_mask_22.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_23.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_23.json
new file mode 100644
index 0000000000000000000000000000000000000000..4440c393722c7958399bf468d6fd00275aff0c5c
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_23.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Find the photo and provide its bounding box as [x_min, y_min, x_max, y_max] with coordinates normalized to 0-1.",
+  "answer": "[(0.537, 0.452), (0.549, 0.472), (0.487, 0.455), (0.491, 0.454), (0.505, 0.448), (0.54, 0.421), (0.558, 0.45), (0.538, 0.469), (0.552, 0.431), (0.539, 0.434), (0.513, 0.466), (0.546, 0.428), (0.524, 0.429), (0.501, 0.455), (0.518, 0.463), (0.517, 0.438)]",
+  "camera_name": "rand_046",
+  "camera_position": [
+    0.4015121367978426,
+    -1.1140998864912128,
+    -0.40851823282103794
+  ],
+  "camera_look_at": [
+    1.2768424217383392,
+    0.6803192805276232,
+    -0.5137131103766002
+  ],
+  "object": {
+    "label": "photo",
+    "id": "photo_6",
+    "centroid": [
+      1.3596031665802002,
+      0.6169655919075012,
+      -0.39179688692092896
+    ],
+    "bbox_2d": [
+      0.48,
+      0.388,
+      0.581,
+      0.484
+    ],
+    "width": 0.270263671875,
+    "length": 0.2228027582168579,
+    "height": 0.1683593988418579
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_23.jpg",
+  "ground_truth_mask": "question_mask_23.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_24.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_24.json
new file mode 100644
index 0000000000000000000000000000000000000000..75d5695b9bc9695745eb50c5213db9ec4a487494
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_24.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Provide the bounding box of the bookshelf in the format [x_min, y_min, x_max, y_max] with normalized coordinates.",
+  "answer": "[(0.711, 0.408), (0.757, 0.205), (0.782, 0.21), (0.665, 0.159), (0.705, 0.289), (0.772, 0.423), (0.777, 0.433), (0.719, 0.249), (0.675, 0.237), (0.684, 0.323), (0.708, 0.309), (0.706, 0.281), (0.405, 0.25), (0.637, 0.323), (0.739, 0.427), (0.757, 0.398)]",
+  "camera_name": "rand_016",
+  "camera_position": [
+    0.07891824455397917,
+    -0.9598057736859805,
+    -0.5750956300361199
+  ],
+  "camera_look_at": [
+    0.890204691781419,
+    0.7657437986323219,
+    -0.6504730557942239
+  ],
+  "object": {
+    "label": "bookshelf",
+    "id": "bookshelf_0",
+    "centroid": [
+      1.313517451286316,
+      0.6787940263748169,
+      -0.4371338188648224
+    ],
+    "bbox_2d": [
+      0.369,
+      0.0,
+      0.937,
+      0.959
+    ],
+    "width": 1.473808765411377,
+    "length": 1.17041015625,
+    "height": 1.4363965392112732
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_24.jpg",
+  "ground_truth_mask": "question_mask_24.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_26.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_26.json
new file mode 100644
index 0000000000000000000000000000000000000000..c4e28459fa6b543dce5db63bf53bdaa9dd2db176
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_26.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Detect the shelf in this image. Provide the bounding box [x_min, y_min, x_max, y_max] in normalized coordinates.",
+  "answer": "[(0.438, 0.46), (0.559, 0.45), (0.434, 0.455), (0.421, 0.446), (0.561, 0.445), (0.545, 0.455), (0.569, 0.467), (0.497, 0.448), (0.471, 0.47), (0.56, 0.445), (0.638, 0.444), (0.36, 0.454), (0.474, 0.48), (0.321, 0.45), (0.658, 0.464), (0.394, 0.462)]",
+  "camera_name": "rand_045",
+  "camera_position": [
+    -0.2349200945983761,
+    -1.307365827335195,
+    -0.5177307981267103
+  ],
+  "camera_look_at": [
+    0.9943282479996135,
+    0.9652452965894569,
+    -0.6490259573660495
+  ],
+  "object": {
+    "label": "shelf",
+    "id": "shelf_1",
+    "centroid": [
+      0.8900377750396729,
+      0.6363433003425598,
+      -0.5077954083681107
+    ],
+    "bbox_2d": [
+      0.347,
+      0.417,
+      0.709,
+      0.465
+    ],
+    "width": 1.0875048637390137,
+    "length": 0.9253612756729126,
+    "height": 0.07522949576377869
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_26.jpg",
+  "ground_truth_mask": "question_mask_26.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_27.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_27.json
new file mode 100644
index 0000000000000000000000000000000000000000..f63d11fcbe0a4b22c8d474cb7d537e306f85eb32
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_27.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Please locate the book in the image. Your answer should be a bounding box [x_min, y_min, x_max, y_max] with normalized coordinates between 0 and 1.",
+  "answer": "[(0.323, 0.192), (0.452, 0.199), (0.36, 0.183), (0.413, 0.197), (0.38, 0.182), (0.437, 0.206), (0.412, 0.186), (0.403, 0.2), (0.34, 0.187), (0.319, 0.19), (0.41, 0.196), (0.374, 0.181), (0.38, 0.187), (0.458, 0.204), (0.388, 0.182), (0.378, 0.193)]",
+  "camera_name": "rand_042",
+  "camera_position": [
+    1.017208065698337,
+    -1.019407593023297,
+    -0.5150997201079013
+  ],
+  "camera_look_at": [
+    0.700482455731809,
+    -1.7636073963888743,
+    -0.8105935023976742
+  ],
+  "object": {
+    "label": "book",
+    "id": "book_2",
+    "centroid": [
+      0.6573570370674133,
+      -2.5501480102539062,
+      -0.4692626893520355
+    ],
+    "bbox_2d": [
+      0.312,
+      0.06,
+      0.485,
+      0.113
+    ],
+    "width": 0.3348633050918579,
+    "length": 0.41513681411743164,
+    "height": 0.051806628704071045
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_27.jpg",
+  "ground_truth_mask": "question_mask_27.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_29.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_29.json
new file mode 100644
index 0000000000000000000000000000000000000000..ddebcdd1668a4e023db67b67a51db12c7691d208
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_29.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Where is the photo? Answer with a bounding box [x_min, y_min, x_max, y_max] using normalized coordinates (0 to 1).",
+  "answer": "[(0.958, 0.536), (0.957, 0.49), (0.877, 0.528), (0.822, 0.528), (0.906, 0.528), (0.943, 0.492), (0.958, 0.599), (0.837, 0.548), (0.825, 0.518), (0.904, 0.48), (0.959, 0.515), (0.939, 0.558), (0.926, 0.562), (0.853, 0.567), (0.966, 0.493), (0.955, 0.571)]",
+  "camera_name": "view_005",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    4.829628944396973,
+    8.36516284942627,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "photo",
+    "id": "photo_6",
+    "centroid": [
+      1.3596031665802002,
+      0.6169655919075012,
+      -0.39179688692092896
+    ],
+    "bbox_2d": [
+      0.802,
+      0.456,
+      0.989,
+      0.668
+    ],
+    "width": 0.270263671875,
+    "length": 0.2228027582168579,
+    "height": 0.1683593988418579
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_29.jpg",
+  "ground_truth_mask": "question_mask_29.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_31.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_31.json
new file mode 100644
index 0000000000000000000000000000000000000000..bf5aa8223a18f1422404f01a57733e67076d6ed2
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_31.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Detect the bookshelf in this image. Provide the bounding box [x_min, y_min, x_max, y_max] in normalized coordinates.",
+  "answer": "[(0.539, 0.495), (0.55, 0.525), (0.534, 0.696), (0.549, 0.489), (0.608, 0.583), (0.546, 0.707), (0.592, 0.561), (0.556, 0.692), (0.545, 0.692), (0.54, 0.51), (0.545, 0.614), (0.549, 0.539), (0.573, 0.689), (0.531, 0.634), (0.561, 0.685), (0.592, 0.57)]",
+  "camera_name": "rand_059",
+  "camera_position": [
+    0.2631616627525142,
+    -0.580682953877021,
+    -0.5740702309338481
+  ],
+  "camera_look_at": [
+    0.19889487097442965,
+    1.5725767639837775,
+    -0.6573009021870442
+  ],
+  "object": {
+    "label": "bookshelf",
+    "id": "bookshelf_1",
+    "centroid": [
+      0.4178919792175293,
+      1.2878831624984741,
+      -0.8674560785293579
+    ],
+    "bbox_2d": [
+      0.518,
+      0.468,
+      0.62,
+      0.802
+    ],
+    "width": 0.2975097894668579,
+    "length": 0.3392578363418579,
+    "height": 0.555908203125
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_31.jpg",
+  "ground_truth_mask": "question_mask_31.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_33.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_33.json
new file mode 100644
index 0000000000000000000000000000000000000000..cac7bb98216704f94784664d24a596ae43ea88a2
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_33.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Point out the photo by giving its bounding box [x_min, y_min, x_max, y_max] in normalized image coordinates.",
+  "answer": "[(0.34, 0.19), (0.299, 0.117), (0.349, 0.151), (0.319, 0.0), (0.244, 0.027), (0.245, 0.014), (0.372, 0.193), (0.221, 0.011), (0.266, 0.038), (0.319, 0.154), (0.216, 0.008), (0.366, 0.127), (0.35, 0.202), (0.309, 0.184), (0.343, 0.075), (0.368, 0.038)]",
+  "camera_name": "rand_011",
+  "camera_position": [
+    0.8289436847300192,
+    -1.296128213808899,
+    -0.6142426374190362
+  ],
+  "camera_look_at": [
+    0.7247586562972396,
+    -1.621285722037542,
+    -0.8292683950046461
+  ],
+  "object": {
+    "label": "photo",
+    "id": "photo_7",
+    "centroid": [
+      0.7724186182022095,
+      -2.364161252975464,
+      -0.6786938607692719
+    ],
+    "bbox_2d": [
+      0.242,
+      0.0,
+      0.406,
+      0.139
+    ],
+    "width": 0.1777685284614563,
+    "length": 0.2727844715118408,
+    "height": 0.2685888409614563
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_33.jpg",
+  "ground_truth_mask": "question_mask_33.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_35.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_35.json
new file mode 100644
index 0000000000000000000000000000000000000000..cb01a3aaa5ddf156c32813335932b8579164c798
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_35.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Identify the photo and output its bounding box as [x_min, y_min, x_max, y_max] with values between 0 and 1.",
+  "answer": "[(0.782, 0.233), (0.81, 0.197), (0.796, 0.292), (0.83, 0.21), (0.809, 0.285), (0.771, 0.321), (0.817, 0.245), (0.776, 0.247), (0.827, 0.202), (0.842, 0.197), (0.782, 0.273), (0.83, 0.313), (0.838, 0.3), (0.814, 0.305), (0.815, 0.27), (0.794, 0.296)]",
+  "camera_name": "rand_050",
+  "camera_position": [
+    -0.33718128477306386,
+    -0.05693827538371782,
+    -0.5244140146707483
+  ],
+  "camera_look_at": [
+    0.6768605750089178,
+    -2.57894838546958,
+    -0.6625691304171178
+  ],
+  "object": {
+    "label": "photo",
+    "id": "photo_4",
+    "centroid": [
+      -0.5285824537277222,
+      -1.7989171743392944,
+      -0.1226806640625
+    ],
+    "bbox_2d": [
+      0.778,
+      0.076,
+      0.851,
+      0.266
+    ],
+    "width": 0.149169921875,
+    "length": 0.1455078125,
+    "height": 0.226806640625
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_35.jpg",
+  "ground_truth_mask": "question_mask_35.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_36.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_36.json
new file mode 100644
index 0000000000000000000000000000000000000000..f832c00fb6862d2b8498c3ce093d60f537fa451a
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_36.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Identify the photo and output its bounding box as [x_min, y_min, x_max, y_max] with values between 0 and 1.",
+  "answer": "[(0.106, 0.461), (0.118, 0.475), (0.073, 0.458), (0.115, 0.451), (0.079, 0.496), (0.065, 0.48), (0.059, 0.443), (0.086, 0.452), (0.121, 0.429), (0.123, 0.455), (0.065, 0.437), (0.05, 0.482), (0.096, 0.491), (0.094, 0.497), (0.077, 0.455), (0.096, 0.429)]",
+  "camera_name": "rand_034",
+  "camera_position": [
+    -0.06873393698242636,
+    -0.17862034861933412,
+    -0.6182904998442451
+  ],
+  "camera_look_at": [
+    -0.9521084407858205,
+    0.05397691707940011,
+    -1.056087475021078
+  ],
+  "object": {
+    "label": "photo",
+    "id": "photo_5",
+    "centroid": [
+      -1.2025138139724731,
+      -0.6720266342163086,
+      -1.036401391029358
+    ],
+    "bbox_2d": [
+      0.0,
+      0.382,
+      0.152,
+      0.542
+    ],
+    "width": 0.13041996955871582,
+    "length": 0.1737304925918579,
+    "height": 0.10600590705871582
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_36.jpg",
+  "ground_truth_mask": "question_mask_36.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_38.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_38.json
new file mode 100644
index 0000000000000000000000000000000000000000..c07a070342576d9a20ef33bfb620baadf18bbddb
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_38.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Where is the light switch? Answer with a bounding box [x_min, y_min, x_max, y_max] using normalized coordinates (0 to 1).",
+  "answer": "[(0.087, 0.091), (0.101, 0.125), (0.106, 0.12), (0.067, 0.082), (0.1, 0.115), (0.1, 0.099), (0.104, 0.159), (0.073, 0.115), (0.106, 0.145), (0.1, 0.13), (0.071, 0.142), (0.109, 0.167), (0.081, 0.152), (0.076, 0.092), (0.073, 0.152), (0.088, 0.134)]",
+  "camera_name": "rand_017",
+  "camera_position": [
+    -0.26588954761004874,
+    -0.037666728647999206,
+    -0.40256266285034936
+  ],
+  "camera_look_at": [
+    0.9231422097167913,
+    0.8958329729355744,
+    -0.5199952170808937
+  ],
+  "object": {
+    "label": "light switch",
+    "id": "light switch_1",
+    "centroid": [
+      0.21875233948230743,
+      1.5391556024551392,
+      0.10424316674470901
+    ],
+    "bbox_2d": [
+      0.049,
+      0.0,
+      0.124,
+      0.124
+    ],
+    "width": 0.09864257276058197,
+    "length": 0.11923825740814209,
+    "height": 0.20737303793430328
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_38.jpg",
+  "ground_truth_mask": "question_mask_38.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_39.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_39.json
new file mode 100644
index 0000000000000000000000000000000000000000..8a8703c08d30caa5eda8f780a11f988f245161c1
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_39.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Find the photo and provide its bounding box as [x_min, y_min, x_max, y_max] with coordinates normalized to 0-1.",
+  "answer": "[(0.37, 0.19), (0.434, 0.159), (0.497, 0.128), (0.343, 0.219), (0.333, 0.16), (0.434, 0.171), (0.481, 0.092), (0.502, 0.134), (0.339, 0.215), (0.477, 0.092), (0.326, 0.121), (0.377, 0.113), (0.573, 0.12), (0.315, 0.186), (0.48, 0.153), (0.348, 0.11)]",
+  "camera_name": "view_011",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -4.829628944396973,
+    -8.36516284942627,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "photo",
+    "id": "photo_0",
+    "centroid": [
+      -0.759278416633606,
+      -1.5729814767837524,
+      0.2860107421875
+    ],
+    "bbox_2d": [
+      0.298,
+      0.0,
+      0.63,
+      0.139
+    ],
+    "width": 0.686767578125,
+    "length": 0.6591796875,
+    "height": 0.230224609375
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_39.jpg",
+  "ground_truth_mask": "question_mask_39.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_4.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_4.json
new file mode 100644
index 0000000000000000000000000000000000000000..9bc0f7efef0aab002080ced628fc90c7f3109a60
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_4.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Detect the photo in this image. Provide the bounding box [x_min, y_min, x_max, y_max] in normalized coordinates.",
+  "answer": "[(0.077, 0.045), (0.168, 0.056), (0.225, 0.002), (0.241, 0.048), (0.218, 0.217), (0.153, 0.031), (0.015, 0.111), (0.142, 0.012), (0.242, 0.157), (0.277, 0.053), (0.292, 0.118), (0.193, 0.107), (0.231, 0.153), (0.143, 0.155), (0.253, 0.084), (0.246, 0.09)]",
+  "camera_name": "rand_059",
+  "camera_position": [
+    0.2631616627525142,
+    -0.580682953877021,
+    -0.5740702309338481
+  ],
+  "camera_look_at": [
+    0.19889487097442965,
+    1.5725767639837775,
+    -0.6573009021870442
+  ],
+  "object": {
+    "label": "photo",
+    "id": "photo_1",
+    "centroid": [
+      -0.6066189408302307,
+      0.6712506413459778,
+      0.0865478515625
+    ],
+    "bbox_2d": [
+      0.0,
+      0.0,
+      0.277,
+      0.152
+    ],
+    "width": 0.47509765625,
+    "length": 0.533203125,
+    "height": 0.397705078125
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_4.jpg",
+  "ground_truth_mask": "question_mask_4.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_40.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_40.json
new file mode 100644
index 0000000000000000000000000000000000000000..a85ec6bd407058c85b1bd94d546dc00feabb6698
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_40.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Point out the chair by giving its bounding box [x_min, y_min, x_max, y_max] in normalized image coordinates.",
+  "answer": "[(0.415, 0.41), (0.309, 0.394), (0.403, 0.45), (0.331, 0.407), (0.308, 0.488), (0.427, 0.494), (0.371, 0.41), (0.417, 0.51), (0.417, 0.506), (0.279, 0.423), (0.344, 0.385), (0.34, 0.495), (0.398, 0.507), (0.271, 0.459), (0.342, 0.425), (0.296, 0.418)]",
+  "camera_name": "rand_029",
+  "camera_position": [
+    1.4043229034451077,
+    -1.1349112123383456,
+    -0.7257651450621905
+  ],
+  "camera_look_at": [
+    -1.3634493303236361,
+    -0.7523594621605434,
+    -1.0426801243023962
+  ],
+  "object": {
+    "label": "chair",
+    "id": "chair_0",
+    "centroid": [
+      0.19375702738761902,
+      -1.3398154973983765,
+      -0.9942188262939453
+    ],
+    "bbox_2d": [
+      0.026,
+      0.289,
+      0.474,
+      1.0
+    ],
+    "width": 0.8229103088378906,
+    "length": 0.5543556213378906,
+    "height": 0.6681251525878906
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_40.jpg",
+  "ground_truth_mask": "question_mask_40.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_41.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_41.json
new file mode 100644
index 0000000000000000000000000000000000000000..90cf5d190cbd65a874bb4e7ed61b91fe03531a53
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_41.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Locate the light switch in the image and give its bounding box [x_min, y_min, x_max, y_max] in normalized coordinates.",
+  "answer": "[(0.267, 0.229), (0.255, 0.195), (0.24, 0.27), (0.275, 0.22), (0.265, 0.22), (0.245, 0.291), (0.274, 0.223), (0.265, 0.192), (0.24, 0.219), (0.243, 0.248), (0.258, 0.188), (0.258, 0.243), (0.248, 0.295), (0.249, 0.249), (0.259, 0.294), (0.269, 0.285)]",
+  "camera_name": "view_005",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    4.829628944396973,
+    8.36516284942627,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "light switch",
+    "id": "light switch_1",
+    "centroid": [
+      0.21875233948230743,
+      1.5391556024551392,
+      0.10424316674470901
+    ],
+    "bbox_2d": [
+      0.225,
+      0.052,
+      0.286,
+      0.225
+    ],
+    "width": 0.09864257276058197,
+    "length": 0.11923825740814209,
+    "height": 0.20737303793430328
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_41.jpg",
+  "ground_truth_mask": "question_mask_41.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_44.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_44.json
new file mode 100644
index 0000000000000000000000000000000000000000..104f7c1ca17a2733ce3923ec73fee5b40d924054
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_44.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Where is the photo? Answer with a bounding box [x_min, y_min, x_max, y_max] using normalized coordinates (0 to 1).",
+  "answer": "[(0.393, 0.365), (0.326, 0.302), (0.349, 0.365), (0.346, 0.281), (0.316, 0.272), (0.394, 0.273), (0.345, 0.233), (0.385, 0.273), (0.379, 0.358), (0.379, 0.252), (0.395, 0.289), (0.354, 0.277), (0.39, 0.271), (0.399, 0.309), (0.39, 0.28), (0.406, 0.325)]",
+  "camera_name": "rand_053",
+  "camera_position": [
+    0.9767563794057188,
+    -0.6880028723623409,
+    -0.660343683095244
+  ],
+  "camera_look_at": [
+    0.6812824288926271,
+    -1.5773419232292238,
+    -0.9093260561305019
+  ],
+  "object": {
+    "label": "photo",
+    "id": "photo_7",
+    "centroid": [
+      0.7724186182022095,
+      -2.364161252975464,
+      -0.6786938607692719
+    ],
+    "bbox_2d": [
+      0.34,
+      0.141,
+      0.422,
+      0.336
+    ],
+    "width": 0.1777685284614563,
+    "length": 0.2727844715118408,
+    "height": 0.2685888409614563
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_44.jpg",
+  "ground_truth_mask": "question_mask_44.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_46.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_46.json
new file mode 100644
index 0000000000000000000000000000000000000000..7425b2a15310e7ce8c46a78038d7908cc61de6a8
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_46.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Where is the desk? Answer with a bounding box [x_min, y_min, x_max, y_max] using normalized coordinates (0 to 1).",
+  "answer": "[(0.19, 0.781), (0.228, 0.59), (0.336, 0.724), (0.235, 0.767), (0.25, 0.697), (0.6, 0.671), (0.163, 0.616), (0.394, 0.646), (0.636, 0.584), (0.141, 0.594), (0.421, 0.662), (0.342, 0.762), (0.38, 0.737), (0.637, 0.624), (0.287, 0.763), (0.344, 0.674)]",
+  "camera_name": "rand_031",
+  "camera_position": [
+    0.41681740337718537,
+    -0.19562531283694817,
+    -0.45322720290190155
+  ],
+  "camera_look_at": [
+    0.7864942389040965,
+    -2.293990644819421,
+    -0.6857762284513482
+  ],
+  "object": {
+    "label": "desk",
+    "id": "desk_0",
+    "centroid": [
+      0.6864579319953918,
+      -1.5303361415863037,
+      -0.92974853515625
+    ],
+    "bbox_2d": [
+      0.0,
+      0.558,
+      1.0,
+      1.0
+    ],
+    "width": 1.574951171875,
+    "length": 1.461334228515625,
+    "height": 0.2105712890625
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_46.jpg",
+  "ground_truth_mask": "question_mask_46.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_47.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_47.json
new file mode 100644
index 0000000000000000000000000000000000000000..ad2406762402d3800d77ae93421f1d34dae00c36
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_47.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Provide the bounding box of the photo in the format [x_min, y_min, x_max, y_max] with normalized coordinates.",
+  "answer": "[(0.107, 0.457), (0.091, 0.491), (0.048, 0.436), (0.106, 0.464), (0.104, 0.485), (0.081, 0.48), (0.102, 0.469), (0.087, 0.462), (0.046, 0.5), (0.056, 0.448), (0.113, 0.464), (0.101, 0.429), (0.058, 0.437), (0.094, 0.439), (0.086, 0.491), (0.08, 0.445)]",
+  "camera_name": "rand_034",
+  "camera_position": [
+    -0.06873393698242636,
+    -0.17862034861933412,
+    -0.6182904998442451
+  ],
+  "camera_look_at": [
+    -0.9521084407858205,
+    0.05397691707940011,
+    -1.056087475021078
+  ],
+  "object": {
+    "label": "photo",
+    "id": "photo_5",
+    "centroid": [
+      -1.2025138139724731,
+      -0.6720266342163086,
+      -1.036401391029358
+    ],
+    "bbox_2d": [
+      0.0,
+      0.382,
+      0.152,
+      0.542
+    ],
+    "width": 0.13041996955871582,
+    "length": 0.1737304925918579,
+    "height": 0.10600590705871582
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_47.jpg",
+  "ground_truth_mask": "question_mask_47.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_48.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_48.json
new file mode 100644
index 0000000000000000000000000000000000000000..393dfb512c5bc2f12a937fadbee6ed57c391bbe2
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_48.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Provide the bounding box of the thermostat in the format [x_min, y_min, x_max, y_max] with normalized coordinates.",
+  "answer": "[(0.221, 0.055), (0.221, 0.104), (0.211, 0.098), (0.235, 0.139), (0.252, 0.08), (0.235, 0.111), (0.226, 0.048), (0.212, 0.105), (0.204, 0.085), (0.244, 0.099), (0.243, 0.084), (0.22, 0.056), (0.229, 0.111), (0.211, 0.126), (0.221, 0.075), (0.238, 0.113)]",
+  "camera_name": "view_011",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -4.829628944396973,
+    -8.36516284942627,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "thermostat",
+    "id": "thermostat_0",
+    "centroid": [
+      -0.24676235020160675,
+      -2.050767183303833,
+      0.4190673828125
+    ],
+    "bbox_2d": [
+      0.201,
+      0.0,
+      0.257,
+      0.039
+    ],
+    "width": 0.1206933856010437,
+    "length": 0.09796404838562012,
+    "height": 0.197509765625
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_48.jpg",
+  "ground_truth_mask": "question_mask_48.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_49.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_49.json
new file mode 100644
index 0000000000000000000000000000000000000000..bd5e3004e3a9d752e639b17aa24b8b5ec6ba958d
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_49.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Find the pegboard and provide its bounding box as [x_min, y_min, x_max, y_max] with coordinates normalized to 0-1.",
+  "answer": "[(0.797, 0.474), (0.666, 0.283), (0.91, 0.149), (0.916, 0.494), (0.779, 0.438), (0.831, 0.278), (0.947, 0.165), (0.897, 0.332), (0.74, 0.042), (0.639, 0.409), (0.958, 0.15), (0.724, 0.262), (0.791, 0.043), (0.733, 0.239), (0.87, 0.125), (0.724, 0.091)]",
+  "camera_name": "view_000",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    0.0,
+    -9.659257888793945,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "pegboard",
+    "id": "pegboard_0",
+    "centroid": [
+      -0.7868868708610535,
+      -1.5548685789108276,
+      0.0830078125
+    ],
+    "bbox_2d": [
+      0.619,
+      0.0,
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+    "length": 0.731689453125,
+    "height": 0.85791015625
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_49.jpg",
+  "ground_truth_mask": "question_mask_49.png"
+}
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diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_6.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_6.json
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--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_6.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Where is the poster? Answer with a bounding box [x_min, y_min, x_max, y_max] using normalized coordinates (0 to 1).",
+  "answer": "[(0.353, 0.28), (0.148, 0.243), (0.131, 0.225), (0.363, 0.175), (0.323, 0.181), (0.074, 0.289), (0.343, 0.131), (0.327, 0.374), (0.012, 0.298), (0.247, 0.349), (0.093, 0.29), (0.156, 0.235), (0.157, 0.303), (0.047, 0.198), (0.275, 0.027), (0.231, 0.229)]",
+  "camera_name": "rand_059",
+  "camera_position": [
+    0.2631616627525142,
+    -0.580682953877021,
+    -0.5740702309338481
+  ],
+  "camera_look_at": [
+    0.19889487097442965,
+    1.5725767639837775,
+    -0.6573009021870442
+  ],
+  "object": {
+    "label": "poster",
+    "id": "poster_0",
+    "centroid": [
+      -0.6467678546905518,
+      0.619057834148407,
+      -0.04981689155101776
+    ],
+    "bbox_2d": [
+      0.0,
+      0.0,
+      0.317,
+      0.346
+    ],
+    "width": 0.7074951231479645,
+    "length": 0.783935546875,
+    "height": 0.6860107481479645
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_6.jpg",
+  "ground_truth_mask": "question_mask_6.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_7.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_7.json
new file mode 100644
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--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_7.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Detect the sunglasses in this image. Provide the bounding box [x_min, y_min, x_max, y_max] in normalized coordinates.",
+  "answer": "[(0.373, 0.182), (0.308, 0.106), (0.336, 0.117), (0.404, 0.151), (0.252, 0.161), (0.265, 0.151), (0.35, 0.174), (0.284, 0.136), (0.368, 0.179), (0.286, 0.168), (0.391, 0.105), (0.38, 0.107), (0.334, 0.107), (0.382, 0.115), (0.364, 0.142), (0.345, 0.122)]",
+  "camera_name": "rand_034",
+  "camera_position": [
+    -0.06873393698242636,
+    -0.17862034861933412,
+    -0.6182904998442451
+  ],
+  "camera_look_at": [
+    -0.9521084407858205,
+    0.05397691707940011,
+    -1.056087475021078
+  ],
+  "object": {
+    "label": "sunglasses",
+    "id": "sunglasses_0",
+    "centroid": [
+      -1.103621244430542,
+      -0.1855262666940689,
+      -0.626220703125
+    ],
+    "bbox_2d": [
+      0.195,
+      0.0,
+      0.441,
+      0.092
+    ],
+    "width": 0.19189453125,
+    "length": 0.32426752895116806,
+    "height": 0.1015625
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_7.jpg",
+  "ground_truth_mask": "question_mask_7.png"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_9.json b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_9.json
new file mode 100644
index 0000000000000000000000000000000000000000..a44d45aede4319fedbfd298da850b12fa71fc97e
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/021_object_grounding_bbox/question_9.json
@@ -0,0 +1,38 @@
+{
+  "type": "object_grounding_bbox",
+  "question": "Detect the book in this image. Provide the bounding box [x_min, y_min, x_max, y_max] in normalized coordinates.",
+  "answer": "[(0.725, 0.591), (0.731, 0.437), (0.772, 0.363), (0.667, 0.59), (0.771, 0.621), (0.955, 0.375), (0.732, 0.324), (0.989, 0.491), (0.984, 0.573), (0.988, 0.546), (0.683, 0.529), (0.996, 0.598), (0.728, 0.387), (0.976, 0.474), (0.667, 0.388), (0.681, 0.352)]",
+  "camera_name": "view_006",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    1.1829179332573624e-15,
+    9.659257888793945,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "book",
+    "id": "book_1",
+    "centroid": [
+      0.5308487415313721,
+      0.9819958806037903,
+      -0.20254638604819775
+    ],
+    "bbox_2d": [
+      0.634,
+      0.145,
+      1.0,
+      0.81
+    ],
+    "width": 0.451904296875,
+    "length": 0.48986339569091797,
+    "height": 0.5118994154036045
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_9.jpg",
+  "ground_truth_mask": "question_mask_9.png"
+}
\ No newline at end of file
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+{
+  "type": "object_category",
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+}
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diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_12.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_12.json
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+{
+  "type": "object_category",
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+  "answer": "shelf",
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+}
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diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_13.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_13.json
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+{
+  "type": "object_category",
+  "question": "Classify the object shown inside the red bounding box.",
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+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_16.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_16.json
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+{
+  "type": "object_category",
+  "question": "Identify the category of the object highlighted by the red bounding box.",
+  "answer": "tissue box",
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+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_18.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_18.json
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+{
+  "type": "object_category",
+  "question": "Determine the category of the object indicated by the red bounding box.",
+  "answer": "book",
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+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_19.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_19.json
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+++ b/0239_txt_b72ba4077d48/tasks/022_object_category/question_19.json
@@ -0,0 +1,31 @@
+{
+  "type": "object_category",
+  "question": "Which object category does the red bounding box highlight?",
+  "answer": "book",
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+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_22.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_22.json
new file mode 100644
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+++ b/0239_txt_b72ba4077d48/tasks/022_object_category/question_22.json
@@ -0,0 +1,31 @@
+{
+  "type": "object_category",
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+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_25.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_25.json
new file mode 100644
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+++ b/0239_txt_b72ba4077d48/tasks/022_object_category/question_25.json
@@ -0,0 +1,31 @@
+{
+  "type": "object_category",
+  "question": "Name the category of the object inside the red bounding box.",
+  "answer": "box",
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\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_28.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_28.json
new file mode 100644
index 0000000000000000000000000000000000000000..194d643a95d691540598da87083a21f7ee811907
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+++ b/0239_txt_b72ba4077d48/tasks/022_object_category/question_28.json
@@ -0,0 +1,31 @@
+{
+  "type": "object_category",
+  "question": "What is the object within the red bounding box?",
+  "answer": "cable",
+  "camera_name": "view_002",
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+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_3.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_3.json
new file mode 100644
index 0000000000000000000000000000000000000000..c598bc9c0e98a47a53d9c054c593493c4580bca4
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/022_object_category/question_3.json
@@ -0,0 +1,31 @@
+{
+  "type": "object_category",
+  "question": "What is the object within the red bounding box?",
+  "answer": "desk",
+  "camera_name": "rand_012",
+  "camera_position": [
+    -0.25551299678568795,
+    0.2499816490853265,
+    -0.5048754419727814
+  ],
+  "camera_look_at": [
+    -1.0311700290581403,
+    -0.187856382319589,
+    -0.5948186835735494
+  ],
+  "object": {
+    "label": "desk",
+    "id": "desk_1",
+    "centroid": [
+      -1.1225066184997559,
+      -0.7050848007202148,
+      -1.3616747856140137
+    ],
+    "width": 0.5147509574890137,
+    "length": 0.7464404404163361,
+    "height": 0.5915136337280273
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_3.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_30.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_30.json
new file mode 100644
index 0000000000000000000000000000000000000000..ea8261648f5c914fe03b809b39e2940279259d4b
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/022_object_category/question_30.json
@@ -0,0 +1,31 @@
+{
+  "type": "object_category",
+  "question": "What category does the object marked with the red bounding box belong to?",
+  "answer": "sunglasses",
+  "camera_name": "rand_048",
+  "camera_position": [
+    -0.1841579864870168,
+    -1.2945613028295921,
+    -0.6359284880871503
+  ],
+  "camera_look_at": [
+    -0.6237315060139061,
+    0.6253625016394899,
+    -0.7295127034144561
+  ],
+  "object": {
+    "label": "sunglasses",
+    "id": "sunglasses_0",
+    "centroid": [
+      -1.103621244430542,
+      -0.1855262666940689,
+      -0.626220703125
+    ],
+    "width": 0.19189453125,
+    "length": 0.32426752895116806,
+    "height": 0.1015625
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_30.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_32.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_32.json
new file mode 100644
index 0000000000000000000000000000000000000000..e87d411ecbd82c129ff445ac8737ea2e1f02a47b
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/022_object_category/question_32.json
@@ -0,0 +1,31 @@
+{
+  "type": "object_category",
+  "question": "Name the category of the object inside the red bounding box.",
+  "answer": "photo",
+  "camera_name": "rand_000",
+  "camera_position": [
+    -0.5847295041825279,
+    -0.4953244732026975,
+    -0.5994534320178231
+  ],
+  "camera_look_at": [
+    -0.9053140002837458,
+    -1.4662752911780248,
+    -0.7137212446180923
+  ],
+  "object": {
+    "label": "photo",
+    "id": "photo_3",
+    "centroid": [
+      -0.9069451689720154,
+      -1.4368290901184082,
+      -0.1190185546875
+    ],
+    "width": 0.42116212844848633,
+    "length": 0.41357421875,
+    "height": 0.215087890625
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_32.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_33.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_33.json
new file mode 100644
index 0000000000000000000000000000000000000000..236917ee4ffadff8353c1f9c238ff6698e0232cc
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/022_object_category/question_33.json
@@ -0,0 +1,31 @@
+{
+  "type": "object_category",
+  "question": "What is the category of the item bounded by the red box?",
+  "answer": "poster",
+  "camera_name": "view_007",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -4.829628944396973,
+    8.36516284942627,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "poster",
+    "id": "poster_0",
+    "centroid": [
+      -0.6467678546905518,
+      0.619057834148407,
+      -0.04981689155101776
+    ],
+    "width": 0.7074951231479645,
+    "length": 0.783935546875,
+    "height": 0.6860107481479645
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_33.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_34.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_34.json
new file mode 100644
index 0000000000000000000000000000000000000000..70d8b66818263a53c9516f66d917e3dac392588c
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/022_object_category/question_34.json
@@ -0,0 +1,31 @@
+{
+  "type": "object_category",
+  "question": "What type of object is enclosed by the red bounding box?",
+  "answer": "pegboard",
+  "camera_name": "rand_029",
+  "camera_position": [
+    1.4043229034451077,
+    -1.1349112123383456,
+    -0.7257651450621905
+  ],
+  "camera_look_at": [
+    -1.3634493303236361,
+    -0.7523594621605434,
+    -1.0426801243023962
+  ],
+  "object": {
+    "label": "pegboard",
+    "id": "pegboard_0",
+    "centroid": [
+      -0.7868868708610535,
+      -1.5548685789108276,
+      0.0830078125
+    ],
+    "width": 0.762939453125,
+    "length": 0.731689453125,
+    "height": 0.85791015625
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_34.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_37.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_37.json
new file mode 100644
index 0000000000000000000000000000000000000000..a72498c5f1656b1506eb13b97dc532f83ceec01a
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/022_object_category/question_37.json
@@ -0,0 +1,31 @@
+{
+  "type": "object_category",
+  "question": "Which object category does the red bounding box highlight?",
+  "answer": "cable",
+  "camera_name": "rand_008",
+  "camera_position": [
+    0.05614492198450392,
+    -0.4997353577736152,
+    -0.6581116323088816
+  ],
+  "camera_look_at": [
+    0.22269631195972175,
+    -1.2899487941118342,
+    -0.9896460924940861
+  ],
+  "object": {
+    "label": "cable",
+    "id": "cable_0",
+    "centroid": [
+      1.309485673904419,
+      -1.9137613773345947,
+      -1.9972851276397705
+    ],
+    "width": 0.39283204078674316,
+    "length": 0.3947265148162842,
+    "height": 0.304140567779541
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_37.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_40.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_40.json
new file mode 100644
index 0000000000000000000000000000000000000000..bf414ebcd2bd697039eecf73a18e3fb3de0402dc
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/022_object_category/question_40.json
@@ -0,0 +1,31 @@
+{
+  "type": "object_category",
+  "question": "Determine the category of the object indicated by the red bounding box.",
+  "answer": "thermostat",
+  "camera_name": "view_000",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    0.0,
+    -9.659257888793945,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "thermostat",
+    "id": "thermostat_0",
+    "centroid": [
+      -0.24676235020160675,
+      -2.050767183303833,
+      0.4190673828125
+    ],
+    "width": 0.1206933856010437,
+    "length": 0.09796404838562012,
+    "height": 0.197509765625
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_40.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_41.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_41.json
new file mode 100644
index 0000000000000000000000000000000000000000..6ed000975c6b3459a4722b8b8b49aa4a5734028d
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/022_object_category/question_41.json
@@ -0,0 +1,31 @@
+{
+  "type": "object_category",
+  "question": "What category does the object marked with the red bounding box belong to?",
+  "answer": "photo",
+  "camera_name": "view_000",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    0.0,
+    -9.659257888793945,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "photo",
+    "id": "photo_0",
+    "centroid": [
+      -0.759278416633606,
+      -1.5729814767837524,
+      0.2860107421875
+    ],
+    "width": 0.686767578125,
+    "length": 0.6591796875,
+    "height": 0.230224609375
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_41.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_5.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_5.json
new file mode 100644
index 0000000000000000000000000000000000000000..8590c04fc67832a59da82b2fab491d683b6625ab
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/022_object_category/question_5.json
@@ -0,0 +1,31 @@
+{
+  "type": "object_category",
+  "question": "What kind of object is marked by the red bounding box?",
+  "answer": "shelf",
+  "camera_name": "rand_054",
+  "camera_position": [
+    -0.5179299777718059,
+    -0.008080615102598776,
+    -0.7371295770903861
+  ],
+  "camera_look_at": [
+    0.9579221674125822,
+    0.8734190495616383,
+    -0.8255961950407223
+  ],
+  "object": {
+    "label": "shelf",
+    "id": "shelf_1",
+    "centroid": [
+      0.8900377750396729,
+      0.6363433003425598,
+      -0.5077954083681107
+    ],
+    "width": 1.0875048637390137,
+    "length": 0.9253612756729126,
+    "height": 0.07522949576377869
+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_5.jpg"
+}
\ No newline at end of file
diff --git a/0239_txt_b72ba4077d48/tasks/022_object_category/question_8.json b/0239_txt_b72ba4077d48/tasks/022_object_category/question_8.json
new file mode 100644
index 0000000000000000000000000000000000000000..662ba1c51a5af901c6413f11d7cf12daace6f849
--- /dev/null
+++ b/0239_txt_b72ba4077d48/tasks/022_object_category/question_8.json
@@ -0,0 +1,31 @@
+{
+  "type": "object_category",
+  "question": "Classify the object shown inside the red bounding box.",
+  "answer": "desk",
+  "camera_name": "rand_060",
+  "camera_position": [
+    0.5165072667096058,
+    -1.7867474487374388,
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+  "camera_look_at": [
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+    -1.0842169367251135,
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+  "object": {
+    "label": "desk",
+    "id": "desk_0",
+    "centroid": [
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+      -0.92974853515625
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+    "width": 1.574951171875,
+    "length": 1.461334228515625,
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+  },
+  "scene_id": "0239_txt_b72ba4077d48",
+  "layout_path": null,
+  "image_path": "question_image_8.jpg"
+}
\ No newline at end of file
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