Add files using upload-large-folder tool

0275_txt_3ea0992da6f5/input.json

@@ -0,0 +1,7 @@
+{
+  "prompt": "A compact, bright bathroom with sloped ceilings features a white toilet, pedestal sink, and glass shower stall. Natural light streams in through a skylight, illuminating wooden floors and white tiled walls. A small wicker basket holds toilet paper beside the toilet; a wooden shelf above the sink stores toiletries and toothbrushes. A brown towel hangs on a rack near the sink, with a second shelf holding bath products and a loofah. The camera pans smoothly from doorway to ceiling, then across fixtures, capturing clean lines, soft shadows, and glossy surfaces. A glimpse into the adjacent bedroom reveals a bed and wall art, adding context to the space\u2019s cozy, functional design.",
+  "meta_info": {
+    "image_pth": "/home/ubuntu/benchmarks/results/VSI-Bench/78.mp4",
+    "source": "VSI-Bench"
+  }
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_1.json

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+{
+  "type": "object_matching_mv",
+  "question": "Match the rack (red bbox, first image) to its bounding box in the second image.\nA. [527, 45, 656, 173]\nB. [474, 308, 517, 332]\nC. [0, 379, 254, 942]\nD. [0, 228, 108, 393]\nRespond with A, B, C, or D only.",
+  "choices": [
+    "A. [527, 45, 656, 173]",
+    "B. [474, 308, 517, 332]",
+    "C. [0, 379, 254, 942]",
+    "D. [0, 228, 108, 393]"
+  ],
+  "answer": "A",
+  "camera_a": {
+    "name": "rand_017",
+    "position": [
+      0.41007401015963496,
+      -0.5038055119184257,
+      -0.6523871677743636
+    ],
+    "look_at": [
+      -0.6594461873382502,
+      -2.160328172975631,
+      -0.7388978011526514
+    ]
+  },
+  "camera_b": {
+    "name": "rand_021",
+    "position": [
+      0.11858681801416027,
+      0.14318750354554205,
+      -1.0396750431906963
+    ],
+    "look_at": [
+      -0.3676378772429012,
+      -2.367361652962834,
+      -1.0883245344719452
+    ]
+  },
+  "object": {
+    "label": "rack",
+    "id": "rack_0",
+    "centroid": [
+      -0.8729311227798462,
+      -2.0051183700561523,
+      0.033608391880989075
+    ],
+    "width": 0.25335943698883057,
+    "length": 0.3866605758666992,
+    "height": 0.2997168004512787
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_1_a.jpg",
+  "image_path_b": "question_image_1_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_12.json

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+{
+  "type": "object_matching_mv",
+  "question": "In the first image, towel is bounded by a red box. Which bounding box in the second image shows the same object?\nA. [612, 524, 659, 535]\nB. [570, 479, 618, 540]\nC. [712, 536, 823, 568]\nD. [0, 0, 344, 681]\nChoose A, B, C, or D.",
+  "choices": [
+    "A. [612, 524, 659, 535]",
+    "B. [570, 479, 618, 540]",
+    "C. [712, 536, 823, 568]",
+    "D. [0, 0, 344, 681]"
+  ],
+  "answer": "D",
+  "camera_a": {
+    "name": "rand_059",
+    "position": [
+      -0.13178848439298918,
+      -1.268640444443888,
+      -0.9316584620862951
+    ],
+    "look_at": [
+      -6.647313203244604,
+      -0.6696217468396981,
+      -1.0692593178028706
+    ]
+  },
+  "camera_b": {
+    "name": "rand_023",
+    "position": [
+      0.03680772345563166,
+      -0.8826262750970862,
+      -0.9939660886705024
+    ],
+    "look_at": [
+      -6.6198884965999625,
+      -0.5453480594658193,
+      -1.0985020092346174
+    ]
+  },
+  "object": {
+    "label": "towel",
+    "id": "towel_0",
+    "centroid": [
+      -1.1321099996566772,
+      -1.4050259590148926,
+      -0.36277832090854645
+    ],
+    "width": 0.416015625,
+    "length": 0.4851226806640625,
+    "height": 1.486357420682907
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_12_a.jpg",
+  "image_path_b": "question_image_12_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_13.json

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+{
+  "type": "object_matching_mv",
+  "question": "The red bbox in the first image highlights the towel. Identify the correct bounding box for the same object in the second image.\nA. [462, 240, 557, 329]\nB. [628, 219, 783, 345]\nC. [502, 59, 611, 217]\nD. [816, 123, 999, 895]\nPick one: A, B, C, or D.",
+  "choices": [
+    "A. [462, 240, 557, 329]",
+    "B. [628, 219, 783, 345]",
+    "C. [502, 59, 611, 217]",
+    "D. [816, 123, 999, 895]"
+  ],
+  "answer": "D",
+  "camera_a": {
+    "name": "rand_002",
+    "position": [
+      -2.4098352177993765,
+      0.3851428393357504,
+      -0.7441295634189624
+    ],
+    "look_at": [
+      1.1910647417574909,
+      -2.0463532818900574,
+      -0.835553192201646
+    ]
+  },
+  "camera_b": {
+    "name": "view_000",
+    "position": [
+      -0.0,
+      -0.0,
+      0.0
+    ],
+    "look_at": [
+      0.0,
+      -9.659257888793945,
+      -2.5881905555725098
+    ]
+  },
+  "object": {
+    "label": "towel",
+    "id": "towel_0",
+    "centroid": [
+      -1.1321099996566772,
+      -1.4050259590148926,
+      -0.36277832090854645
+    ],
+    "width": 0.416015625,
+    "length": 0.4851226806640625,
+    "height": 1.486357420682907
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_13_a.jpg",
+  "image_path_b": "question_image_13_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_16.json

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+{
+  "type": "object_matching_mv",
+  "question": "The pillow 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. [570, 460, 581, 485]\nB. [570, 479, 618, 540]\nC. [0, 0, 344, 681]\nD. [612, 524, 659, 535]\nAnswer with A, B, C, or D only.",
+  "choices": [
+    "A. [570, 460, 581, 485]",
+    "B. [570, 479, 618, 540]",
+    "C. [0, 0, 344, 681]",
+    "D. [612, 524, 659, 535]"
+  ],
+  "answer": "B",
+  "camera_a": {
+    "name": "rand_039",
+    "position": [
+      0.42592338195381174,
+      -0.9084876572150149,
+      -1.3566624683910147
+    ],
+    "look_at": [
+      -6.566373839594627,
+      -0.5990730734165046,
+      -1.4666069123710574
+    ]
+  },
+  "camera_b": {
+    "name": "rand_023",
+    "position": [
+      0.03680772345563166,
+      -0.8826262750970862,
+      -0.9939660886705024
+    ],
+    "look_at": [
+      -6.6198884965999625,
+      -0.5453480594658193,
+      -1.0985020092346174
+    ]
+  },
+  "object": {
+    "label": "pillow",
+    "id": "pillow_0",
+    "centroid": [
+      -5.693209648132324,
+      -0.12660425901412964,
+      -1.1381591856479645
+    ],
+    "width": 1.881464958190918,
+    "length": 1.5895801186561584,
+    "height": 0.5056933760643005
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_16_a.jpg",
+  "image_path_b": "question_image_16_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_18.json

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+{
+  "type": "object_matching_mv",
+  "question": "Using the red bbox of towel in the first image as reference, find its location in the second image.\nA. [705, 148, 843, 317]\nB. [684, 413, 912, 528]\nC. [217, 30, 402, 819]\nD. [696, 379, 895, 435]\nSelect A, B, C, or D.",
+  "choices": [
+    "A. [705, 148, 843, 317]",
+    "B. [684, 413, 912, 528]",
+    "C. [217, 30, 402, 819]",
+    "D. [696, 379, 895, 435]"
+  ],
+  "answer": "C",
+  "camera_a": {
+    "name": "rand_030",
+    "position": [
+      -0.723232772946732,
+      -0.8755496702432262,
+      -0.6548448464891368
+    ],
+    "look_at": [
+      -1.1272848890433358,
+      -1.6807059939390907,
+      -0.7462969351652344
+    ]
+  },
+  "camera_b": {
+    "name": "view_010",
+    "position": [
+      -0.0,
+      -0.0,
+      0.0
+    ],
+    "look_at": [
+      -8.36516284942627,
+      -4.829628944396973,
+      -2.5881905555725098
+    ]
+  },
+  "object": {
+    "label": "towel",
+    "id": "towel_0",
+    "centroid": [
+      -1.1321099996566772,
+      -1.4050259590148926,
+      -0.36277832090854645
+    ],
+    "width": 0.416015625,
+    "length": 0.4851226806640625,
+    "height": 1.486357420682907
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_18_a.jpg",
+  "image_path_b": "question_image_18_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_19.json

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+{
+  "type": "object_matching_mv",
+  "question": "The red bbox in the first image highlights the towel. Identify the correct bounding box for the same object in the second image.\nA. [0, 278, 472, 998]\nB. [332, 174, 408, 315]\nC. [611, 0, 986, 741]\nD. [142, 217, 239, 284]\nPick one: A, B, C, or D.",
+  "choices": [
+    "A. [0, 278, 472, 998]",
+    "B. [332, 174, 408, 315]",
+    "C. [611, 0, 986, 741]",
+    "D. [142, 217, 239, 284]"
+  ],
+  "answer": "C",
+  "camera_a": {
+    "name": "rand_063",
+    "position": [
+      -0.22320957618973303,
+      -1.4446574703918804,
+      -0.6618364258338238
+    ],
+    "look_at": [
+      -6.599086661401058,
+      -0.5527241387177142,
+      -0.7832133348119622
+    ]
+  },
+  "camera_b": {
+    "name": "rand_060",
+    "position": [
+      -0.079750999344678,
+      -0.8858482364096266,
+      -0.8132633850514455
+    ],
+    "look_at": [
+      -0.9018368532847054,
+      -1.9418639089131708,
+      -0.9276011331166162
+    ]
+  },
+  "object": {
+    "label": "towel",
+    "id": "towel_0",
+    "centroid": [
+      -1.1321099996566772,
+      -1.4050259590148926,
+      -0.36277832090854645
+    ],
+    "width": 0.416015625,
+    "length": 0.4851226806640625,
+    "height": 1.486357420682907
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_19_a.jpg",
+  "image_path_b": "question_image_19_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_21.json

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+{
+  "type": "object_matching_mv",
+  "question": "Locate the trash can shown by the red bbox in image 1 within the second image. Which option matches?\nA. [265, 391, 324, 455]\nB. [125, 711, 229, 903]\nC. [91, 449, 410, 998]\nD. [326, 143, 417, 266]\nAnswer A, B, C, or D.",
+  "choices": [
+    "A. [265, 391, 324, 455]",
+    "B. [125, 711, 229, 903]",
+    "C. [91, 449, 410, 998]",
+    "D. [326, 143, 417, 266]"
+  ],
+  "answer": "B",
+  "camera_a": {
+    "name": "rand_021",
+    "position": [
+      0.11858681801416027,
+      0.14318750354554205,
+      -1.0396750431906963
+    ],
+    "look_at": [
+      -0.3676378772429012,
+      -2.367361652962834,
+      -1.0883245344719452
+    ]
+  },
+  "camera_b": {
+    "name": "rand_014",
+    "position": [
+      -0.9697831087749841,
+      0.2777100496682777,
+      -0.6393850917918438
+    ],
+    "look_at": [
+      -1.2024748534175551,
+      -1.6792336164903772,
+      -0.7738325978235991
+    ]
+  },
+  "object": {
+    "label": "trash can",
+    "id": "trash can_0",
+    "centroid": [
+      0.4114028513431549,
+      -2.8809847831726074,
+      -2.0863818526268005
+    ],
+    "width": 0.3284083604812622,
+    "length": 0.5108599662780762,
+    "height": 0.5733300447463989
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_21_a.jpg",
+  "image_path_b": "question_image_21_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_22.json

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+{
+  "type": "object_matching_mv",
+  "question": "Identify which bounding box in the second image matches the towel (red bbox) from the first image.\nA. [364, 548, 427, 584]\nB. [127, 467, 320, 560]\nC. [127, 443, 295, 486]\nD. [486, 159, 543, 251]\nYour answer should be A, B, C, or D.",
+  "choices": [
+    "A. [364, 548, 427, 584]",
+    "B. [127, 467, 320, 560]",
+    "C. [127, 443, 295, 486]",
+    "D. [486, 159, 543, 251]"
+  ],
+  "answer": "A",
+  "camera_a": {
+    "name": "rand_036",
+    "position": [
+      0.42977023447169654,
+      -1.4092769521352593,
+      -0.6326768667417151
+    ],
+    "look_at": [
+      -1.1220372940066508,
+      -1.316537763535544,
+      -0.73673404759245
+    ]
+  },
+  "camera_b": {
+    "name": "rand_050",
+    "position": [
+      0.4898447436049558,
+      -0.09375906422233804,
+      -0.6581391082139614
+    ],
+    "look_at": [
+      -0.7545700464890763,
+      0.4703713969640816,
+      -0.7542982052155304
+    ]
+  },
+  "object": {
+    "label": "towel",
+    "id": "towel_1",
+    "centroid": [
+      -3.471097707748413,
+      0.9678621888160706,
+      -1.2765820026397705
+    ],
+    "width": 0.6240136623382568,
+    "length": 0.5532129406929016,
+    "height": 0.13384771347045898
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_22_a.jpg",
+  "image_path_b": "question_image_22_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_25.json

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+{
+  "type": "object_matching_mv",
+  "question": "The bottle 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. [268, 150, 371, 377]\nB. [658, 0, 999, 998]\nC. [305, 209, 334, 234]\nD. [0, 215, 158, 377]\nAnswer with A, B, C, or D only.",
+  "choices": [
+    "A. [268, 150, 371, 377]",
+    "B. [658, 0, 999, 998]",
+    "C. [305, 209, 334, 234]",
+    "D. [0, 215, 158, 377]"
+  ],
+  "answer": "A",
+  "camera_a": {
+    "name": "rand_054",
+    "position": [
+      -0.40382106427376185,
+      -0.3754951797403203,
+      -0.8243153622330133
+    ],
+    "look_at": [
+      -0.7718260706834271,
+      -2.1117340600206536,
+      -0.9182307641262976
+    ]
+  },
+  "camera_b": {
+    "name": "rand_053",
+    "position": [
+      -0.33702532446370137,
+      -1.1969917576766682,
+      -0.701425801504671
+    ],
+    "look_at": [
+      -0.9008204750071178,
+      -1.9442081089803132,
+      -0.7883127415904606
+    ]
+  },
+  "object": {
+    "label": "bottle",
+    "id": "bottle_0",
+    "centroid": [
+      -0.6476178765296936,
+      -2.095215082168579,
+      -0.5522070229053497
+    ],
+    "width": 0.12088865041732788,
+    "length": 0.28763675689697266,
+    "height": 0.28279298543930054
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_25_a.jpg",
+  "image_path_b": "question_image_25_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_28.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "Locate the towel shown by the red bbox in image 1 within the second image. Which option matches?\nA. [527, 308, 585, 453]\nB. [265, 112, 384, 253]\nC. [779, 0, 999, 931]\nD. [396, 356, 472, 466]\nAnswer A, B, C, or D.",
+  "choices": [
+    "A. [527, 308, 585, 453]",
+    "B. [265, 112, 384, 253]",
+    "C. [779, 0, 999, 931]",
+    "D. [396, 356, 472, 466]"
+  ],
+  "answer": "C",
+  "camera_a": {
+    "name": "view_011",
+    "position": [
+      -0.0,
+      -0.0,
+      0.0
+    ],
+    "look_at": [
+      -4.829628944396973,
+      -8.36516284942627,
+      -2.5881905555725098
+    ]
+  },
+  "camera_b": {
+    "name": "rand_009",
+    "position": [
+      -0.27513706959995243,
+      -0.6296613359760626,
+      -0.6435107130143614
+    ],
+    "look_at": [
+      -0.508772683462927,
+      -2.0486896510749957,
+      -0.7536326353050967
+    ]
+  },
+  "object": {
+    "label": "towel",
+    "id": "towel_0",
+    "centroid": [
+      -1.1321099996566772,
+      -1.4050259590148926,
+      -0.36277832090854645
+    ],
+    "width": 0.416015625,
+    "length": 0.4851226806640625,
+    "height": 1.486357420682907
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_28_a.jpg",
+  "image_path_b": "question_image_28_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_3.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "The bottle 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. [440, 262, 492, 382]\nB. [116, 741, 246, 998]\nC. [405, 0, 560, 130]\nD. [329, 311, 398, 364]\nAnswer with A, B, C, or D only.",
+  "choices": [
+    "A. [440, 262, 492, 382]",
+    "B. [116, 741, 246, 998]",
+    "C. [405, 0, 560, 130]",
+    "D. [329, 311, 398, 364]"
+  ],
+  "answer": "A",
+  "camera_a": {
+    "name": "rand_028",
+    "position": [
+      -0.3947797492288878,
+      -0.9123787964900691,
+      -0.799973113467519
+    ],
+    "look_at": [
+      -0.5562534599421154,
+      -1.9104707692366132,
+      -0.8839793646803605
+    ]
+  },
+  "camera_b": {
+    "name": "rand_054",
+    "position": [
+      -0.40382106427376185,
+      -0.3754951797403203,
+      -0.8243153622330133
+    ],
+    "look_at": [
+      -0.7718260706834271,
+      -2.1117340600206536,
+      -0.9182307641262976
+    ]
+  },
+  "object": {
+    "label": "bottle",
+    "id": "bottle_0",
+    "centroid": [
+      -0.6476178765296936,
+      -2.095215082168579,
+      -0.5522070229053497
+    ],
+    "width": 0.12088865041732788,
+    "length": 0.28763675689697266,
+    "height": 0.28279298543930054
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_3_a.jpg",
+  "image_path_b": "question_image_3_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_30.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "Locate the rack shown by the red bbox in image 1 within the second image. Which option matches?\nA. [700, 0, 966, 114]\nB. [763, 284, 859, 440]\nC. [459, 100, 575, 244]\nD. [337, 806, 444, 998]\nAnswer A, B, C, or D.",
+  "choices": [
+    "A. [700, 0, 966, 114]",
+    "B. [763, 284, 859, 440]",
+    "C. [459, 100, 575, 244]",
+    "D. [337, 806, 444, 998]"
+  ],
+  "answer": "C",
+  "camera_a": {
+    "name": "rand_015",
+    "position": [
+      0.5267279264127691,
+      -0.20217372352717555,
+      -0.7793225245109823
+    ],
+    "look_at": [
+      -0.45974788840100334,
+      -2.3831856096526205,
+      -0.873376269367479
+    ]
+  },
+  "camera_b": {
+    "name": "rand_022",
+    "position": [
+      0.270768963826165,
+      -0.7930785170058092,
+      -0.703376333293231
+    ],
+    "look_at": [
+      0.02144399552837284,
+      -2.9072179904703765,
+      -0.8129556542530151
+    ]
+  },
+  "object": {
+    "label": "rack",
+    "id": "rack_1",
+    "centroid": [
+      -0.016675200313329697,
+      -2.822089195251465,
+      0.028234854340553284
+    ],
+    "width": 0.2621679753065109,
+    "length": 0.40282702445983887,
+    "height": 0.28093263506889343
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_30_a.jpg",
+  "image_path_b": "question_image_30_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_32.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "In the first image, rack is bounded by a red box. Which bounding box in the second image shows the same object?\nA. [451, 118, 540, 231]\nB. [0, 299, 173, 463]\nC. [541, 306, 618, 355]\nD. [654, 226, 723, 371]\nChoose A, B, C, or D.",
+  "choices": [
+    "A. [451, 118, 540, 231]",
+    "B. [0, 299, 173, 463]",
+    "C. [541, 306, 618, 355]",
+    "D. [654, 226, 723, 371]"
+  ],
+  "answer": "A",
+  "camera_a": {
+    "name": "rand_009",
+    "position": [
+      -0.27513706959995243,
+      -0.6296613359760626,
+      -0.6435107130143614
+    ],
+    "look_at": [
+      -0.508772683462927,
+      -2.0486896510749957,
+      -0.7536326353050967
+    ]
+  },
+  "camera_b": {
+    "name": "rand_027",
+    "position": [
+      -0.6134726723953636,
+      -0.6164434209418908,
+      -0.8237996029413621
+    ],
+    "look_at": [
+      -0.004934234281997352,
+      -2.758602782313836,
+      -0.9136477778490233
+    ]
+  },
+  "object": {
+    "label": "rack",
+    "id": "rack_1",
+    "centroid": [
+      -0.016675200313329697,
+      -2.822089195251465,
+      0.028234854340553284
+    ],
+    "width": 0.2621679753065109,
+    "length": 0.40282702445983887,
+    "height": 0.28093263506889343
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_32_a.jpg",
+  "image_path_b": "question_image_32_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_33.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "In the first image, faucet is bounded by a red box. Which bounding box in the second image shows the same object?\nA. [411, 400, 487, 473]\nB. [616, 133, 756, 273]\nC. [670, 91, 763, 161]\nD. [662, 385, 696, 429]\nChoose A, B, C, or D.",
+  "choices": [
+    "A. [411, 400, 487, 473]",
+    "B. [616, 133, 756, 273]",
+    "C. [670, 91, 763, 161]",
+    "D. [662, 385, 696, 429]"
+  ],
+  "answer": "D",
+  "camera_a": {
+    "name": "view_011",
+    "position": [
+      -0.0,
+      -0.0,
+      0.0
+    ],
+    "look_at": [
+      -4.829628944396973,
+      -8.36516284942627,
+      -2.5881905555725098
+    ]
+  },
+  "camera_b": {
+    "name": "rand_047",
+    "position": [
+      -1.8659028145524532,
+      0.5516196665747375,
+      -0.823080210101232
+    ],
+    "look_at": [
+      0.9029230127428383,
+      -2.235963225124672,
+      -0.9415995327000294
+    ]
+  },
+  "object": {
+    "label": "faucet",
+    "id": "faucet_0",
+    "centroid": [
+      -0.38083577156066895,
+      -2.4087324142456055,
+      -0.5881347805261612
+    ],
+    "width": 0.18031251430511475,
+    "length": 0.31427717208862305,
+    "height": 0.24494144320487976
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_33_a.jpg",
+  "image_path_b": "question_image_33_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_34.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "In the first image, shelf is bounded by a red box. Which bounding box in the second image shows the same object?\nA. [224, 54, 300, 176]\nB. [305, 51, 425, 127]\nC. [326, 143, 417, 266]\nD. [166, 89, 438, 513]\nChoose A, B, C, or D.",
+  "choices": [
+    "A. [224, 54, 300, 176]",
+    "B. [305, 51, 425, 127]",
+    "C. [326, 143, 417, 266]",
+    "D. [166, 89, 438, 513]"
+  ],
+  "answer": "D",
+  "camera_a": {
+    "name": "rand_021",
+    "position": [
+      0.11858681801416027,
+      0.14318750354554205,
+      -1.0396750431906963
+    ],
+    "look_at": [
+      -0.3676378772429012,
+      -2.367361652962834,
+      -1.0883245344719452
+    ]
+  },
+  "camera_b": {
+    "name": "rand_014",
+    "position": [
+      -0.9697831087749841,
+      0.2777100496682777,
+      -0.6393850917918438
+    ],
+    "look_at": [
+      -1.2024748534175551,
+      -1.6792336164903772,
+      -0.7738325978235991
+    ]
+  },
+  "object": {
+    "label": "shelf",
+    "id": "shelf_0",
+    "centroid": [
+      -0.4952179491519928,
+      -2.094017267227173,
+      0.1922607421875
+    ],
+    "width": 1.0938672721385956,
+    "length": 1.0378711223602295,
+    "height": 0.046630859375
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_34_a.jpg",
+  "image_path_b": "question_image_34_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_37.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "The shelf is indicated by the red bbox in image 1. Select the corresponding bbox in image 2.\nA. [339, 429, 655, 998]\nB. [359, 74, 703, 493]\nC. [297, 714, 378, 913]\nD. [385, 208, 464, 303]\nAnswer with one letter: A, B, C, or D.",
+  "choices": [
+    "A. [339, 429, 655, 998]",
+    "B. [359, 74, 703, 493]",
+    "C. [297, 714, 378, 913]",
+    "D. [385, 208, 464, 303]"
+  ],
+  "answer": "B",
+  "camera_a": {
+    "name": "rand_007",
+    "position": [
+      -0.41157692019265535,
+      0.4432834014684296,
+      -0.7802389739567639
+    ],
+    "look_at": [
+      -0.3503476479857561,
+      -2.492543051306831,
+      -0.8855411791350751
+    ]
+  },
+  "camera_b": {
+    "name": "rand_049",
+    "position": [
+      0.1889028503001593,
+      0.11242156742933584,
+      -0.7384477640338312
+    ],
+    "look_at": [
+      -0.3375626727775052,
+      -2.470789126682686,
+      -0.8601894001864789
+    ]
+  },
+  "object": {
+    "label": "shelf",
+    "id": "shelf_0",
+    "centroid": [
+      -0.4952179491519928,
+      -2.094017267227173,
+      0.1922607421875
+    ],
+    "width": 1.0938672721385956,
+    "length": 1.0378711223602295,
+    "height": 0.046630859375
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_37_a.jpg",
+  "image_path_b": "question_image_37_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_39.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "Find the matching bounding box for towel (red bbox in image 1) in the second image.\nA. [98, 0, 408, 859]\nB. [723, 595, 834, 633]\nC. [603, 543, 623, 576]\nD. [614, 552, 662, 570]\nSelect A, B, C, or D.",
+  "choices": [
+    "A. [98, 0, 408, 859]",
+    "B. [723, 595, 834, 633]",
+    "C. [603, 543, 623, 576]",
+    "D. [614, 552, 662, 570]"
+  ],
+  "answer": "A",
+  "camera_a": {
+    "name": "view_000",
+    "position": [
+      -0.0,
+      -0.0,
+      0.0
+    ],
+    "look_at": [
+      0.0,
+      -9.659257888793945,
+      -2.5881905555725098
+    ]
+  },
+  "camera_b": {
+    "name": "rand_034",
+    "position": [
+      0.07472469414687088,
+      -1.0618179863210027,
+      -0.6826051653208483
+    ],
+    "look_at": [
+      -6.6213456901412355,
+      -0.6109312798579656,
+      -0.7984855607397464
+    ]
+  },
+  "object": {
+    "label": "towel",
+    "id": "towel_0",
+    "centroid": [
+      -1.1321099996566772,
+      -1.4050259590148926,
+      -0.36277832090854645
+    ],
+    "width": 0.416015625,
+    "length": 0.4851226806640625,
+    "height": 1.486357420682907
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_39_a.jpg",
+  "image_path_b": "question_image_39_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_40.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "The red bbox in the first image highlights the towel. Identify the correct bounding box for the same object in the second image.\nA. [150, 0, 457, 450]\nB. [327, 55, 433, 192]\nC. [449, 0, 677, 638]\nD. [343, 293, 388, 387]\nPick one: A, B, C, or D.",
+  "choices": [
+    "A. [150, 0, 457, 450]",
+    "B. [327, 55, 433, 192]",
+    "C. [449, 0, 677, 638]",
+    "D. [343, 293, 388, 387]"
+  ],
+  "answer": "C",
+  "camera_a": {
+    "name": "rand_026",
+    "position": [
+      0.20490534799859797,
+      -1.546399138850176,
+      -0.7945151922299973
+    ],
+    "look_at": [
+      -1.176682991591292,
+      -1.4350123046982106,
+      -0.8977661373083962
+    ]
+  },
+  "camera_b": {
+    "name": "rand_057",
+    "position": [
+      -0.7303768621156378,
+      0.19152661808075933,
+      -0.8754914284543664
+    ],
+    "look_at": [
+      -1.10193958871496,
+      -1.636077231943867,
+      -0.9627482682295991
+    ]
+  },
+  "object": {
+    "label": "towel",
+    "id": "towel_0",
+    "centroid": [
+      -1.1321099996566772,
+      -1.4050259590148926,
+      -0.36277832090854645
+    ],
+    "width": 0.416015625,
+    "length": 0.4851226806640625,
+    "height": 1.486357420682907
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_40_a.jpg",
+  "image_path_b": "question_image_40_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_41.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "Based on the red bbox of towel in the first image, locate its bounding box in the second image. Pick the appropriate answer from the options given.\nA. [437, 82, 513, 200]\nB. [665, 0, 891, 668]\nC. [0, 472, 263, 901]\nD. [337, 683, 413, 850]\nYour answer can only include one of the options A, B, C, or D.",
+  "choices": [
+    "A. [437, 82, 513, 200]",
+    "B. [665, 0, 891, 668]",
+    "C. [0, 472, 263, 901]",
+    "D. [337, 683, 413, 850]"
+  ],
+  "answer": "B",
+  "camera_a": {
+    "name": "rand_060",
+    "position": [
+      -0.079750999344678,
+      -0.8858482364096266,
+      -0.8132633850514455
+    ],
+    "look_at": [
+      -0.9018368532847054,
+      -1.9418639089131708,
+      -0.9276011331166162
+    ]
+  },
+  "camera_b": {
+    "name": "rand_007",
+    "position": [
+      -0.41157692019265535,
+      0.4432834014684296,
+      -0.7802389739567639
+    ],
+    "look_at": [
+      -0.3503476479857561,
+      -2.492543051306831,
+      -0.8855411791350751
+    ]
+  },
+  "object": {
+    "label": "towel",
+    "id": "towel_0",
+    "centroid": [
+      -1.1321099996566772,
+      -1.4050259590148926,
+      -0.36277832090854645
+    ],
+    "width": 0.416015625,
+    "length": 0.4851226806640625,
+    "height": 1.486357420682907
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_41_a.jpg",
+  "image_path_b": "question_image_41_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_42.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "The bed 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. [7, 379, 223, 444]\nB. [0, 122, 143, 320]\nC. [241, 436, 324, 470]\nD. [313, 539, 406, 602]\nAnswer with A, B, C, or D only.",
+  "choices": [
+    "A. [7, 379, 223, 444]",
+    "B. [0, 122, 143, 320]",
+    "C. [241, 436, 324, 470]",
+    "D. [313, 539, 406, 602]"
+  ],
+  "answer": "A",
+  "camera_a": {
+    "name": "rand_058",
+    "position": [
+      0.39835084863154746,
+      -0.8707129897492962,
+      -0.7114969653965475
+    ],
+    "look_at": [
+      -6.720238956315202,
+      -0.5432537948492917,
+      -0.8016773958649458
+    ]
+  },
+  "camera_b": {
+    "name": "view_008",
+    "position": [
+      -0.0,
+      -0.0,
+      0.0
+    ],
+    "look_at": [
+      -8.36516284942627,
+      4.829628944396973,
+      -2.5881905555725098
+    ]
+  },
+  "object": {
+    "label": "bed",
+    "id": "bed_1",
+    "centroid": [
+      -6.757875919342041,
+      -0.18918687105178833,
+      -0.8183789253234863
+    ],
+    "width": 1.8109664916992188,
+    "length": 1.5767383575439453,
+    "height": 0.3046875
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_42_a.jpg",
+  "image_path_b": "question_image_42_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_43.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "Locate the towel shown by the red bbox in image 1 within the second image. Which option matches?\nA. [414, 0, 510, 107]\nB. [725, 0, 956, 587]\nC. [527, 45, 656, 173]\nD. [287, 663, 370, 854]\nAnswer A, B, C, or D.",
+  "choices": [
+    "A. [414, 0, 510, 107]",
+    "B. [725, 0, 956, 587]",
+    "C. [527, 45, 656, 173]",
+    "D. [287, 663, 370, 854]"
+  ],
+  "answer": "B",
+  "camera_a": {
+    "name": "rand_032",
+    "position": [
+      0.039676204293806805,
+      -0.6039878357785966,
+      -0.824667497061919
+    ],
+    "look_at": [
+      -0.6834322390958508,
+      -2.2297335664553675,
+      -0.9202605234953665
+    ]
+  },
+  "camera_b": {
+    "name": "rand_021",
+    "position": [
+      0.11858681801416027,
+      0.14318750354554205,
+      -1.0396750431906963
+    ],
+    "look_at": [
+      -0.3676378772429012,
+      -2.367361652962834,
+      -1.0883245344719452
+    ]
+  },
+  "object": {
+    "label": "towel",
+    "id": "towel_0",
+    "centroid": [
+      -1.1321099996566772,
+      -1.4050259590148926,
+      -0.36277832090854645
+    ],
+    "width": 0.416015625,
+    "length": 0.4851226806640625,
+    "height": 1.486357420682907
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_43_a.jpg",
+  "image_path_b": "question_image_43_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_44.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "The towel is indicated by the red bbox in image 1. Select the corresponding bbox in image 2.\nA. [662, 518, 681, 533]\nB. [0, 267, 148, 489]\nC. [750, 555, 853, 590]\nD. [172, 0, 211, 134]\nAnswer with one letter: A, B, C, or D.",
+  "choices": [
+    "A. [662, 518, 681, 533]",
+    "B. [0, 267, 148, 489]",
+    "C. [750, 555, 853, 590]",
+    "D. [172, 0, 211, 134]"
+  ],
+  "answer": "C",
+  "camera_a": {
+    "name": "rand_043",
+    "position": [
+      0.13620550511736956,
+      0.08252107207868176,
+      -0.8308929593950072
+    ],
+    "look_at": [
+      -0.7320948427242661,
+      0.5138788948814429,
+      -0.9350288198058692
+    ]
+  },
+  "camera_b": {
+    "name": "rand_036",
+    "position": [
+      0.42977023447169654,
+      -1.4092769521352593,
+      -0.6326768667417151
+    ],
+    "look_at": [
+      -1.1220372940066508,
+      -1.316537763535544,
+      -0.73673404759245
+    ]
+  },
+  "object": {
+    "label": "towel",
+    "id": "towel_1",
+    "centroid": [
+      -3.471097707748413,
+      0.9678621888160706,
+      -1.2765820026397705
+    ],
+    "width": 0.6240136623382568,
+    "length": 0.5532129406929016,
+    "height": 0.13384771347045898
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_44_a.jpg",
+  "image_path_b": "question_image_44_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_45.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "The red bbox in the first image highlights the trash can. Identify the correct bounding box for the same object in the second image.\nA. [97, 363, 543, 998]\nB. [405, 0, 560, 130]\nC. [329, 311, 398, 364]\nD. [116, 741, 246, 998]\nPick one: A, B, C, or D.",
+  "choices": [
+    "A. [97, 363, 543, 998]",
+    "B. [405, 0, 560, 130]",
+    "C. [329, 311, 398, 364]",
+    "D. [116, 741, 246, 998]"
+  ],
+  "answer": "D",
+  "camera_a": {
+    "name": "rand_029",
+    "position": [
+      -2.129961110028166,
+      -0.059351157680227085,
+      -0.7366959334374363
+    ],
+    "look_at": [
+      1.2461340917948327,
+      -2.0751876187252183,
+      -0.841903062209884
+    ]
+  },
+  "camera_b": {
+    "name": "rand_054",
+    "position": [
+      -0.40382106427376185,
+      -0.3754951797403203,
+      -0.8243153622330133
+    ],
+    "look_at": [
+      -0.7718260706834271,
+      -2.1117340600206536,
+      -0.9182307641262976
+    ]
+  },
+  "object": {
+    "label": "trash can",
+    "id": "trash can_0",
+    "centroid": [
+      0.4114028513431549,
+      -2.8809847831726074,
+      -2.0863818526268005
+    ],
+    "width": 0.3284083604812622,
+    "length": 0.5108599662780762,
+    "height": 0.5733300447463989
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_45_a.jpg",
+  "image_path_b": "question_image_45_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_46.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "Identify which bounding box in the second image matches the shelf (red bbox) from the first image.\nA. [584, 650, 625, 776]\nB. [616, 133, 756, 273]\nC. [630, 264, 685, 328]\nD. [365, 469, 506, 707]\nYour answer should be A, B, C, or D.",
+  "choices": [
+    "A. [584, 650, 625, 776]",
+    "B. [616, 133, 756, 273]",
+    "C. [630, 264, 685, 328]",
+    "D. [365, 469, 506, 707]"
+  ],
+  "answer": "B",
+  "camera_a": {
+    "name": "rand_021",
+    "position": [
+      0.11858681801416027,
+      0.14318750354554205,
+      -1.0396750431906963
+    ],
+    "look_at": [
+      -0.3676378772429012,
+      -2.367361652962834,
+      -1.0883245344719452
+    ]
+  },
+  "camera_b": {
+    "name": "rand_047",
+    "position": [
+      -1.8659028145524532,
+      0.5516196665747375,
+      -0.823080210101232
+    ],
+    "look_at": [
+      0.9029230127428383,
+      -2.235963225124672,
+      -0.9415995327000294
+    ]
+  },
+  "object": {
+    "label": "shelf",
+    "id": "shelf_0",
+    "centroid": [
+      -0.4952179491519928,
+      -2.094017267227173,
+      0.1922607421875
+    ],
+    "width": 1.0938672721385956,
+    "length": 1.0378711223602295,
+    "height": 0.046630859375
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_46_a.jpg",
+  "image_path_b": "question_image_46_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_47.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "Locate the bottle shown by the red bbox in image 1 within the second image. Which option matches?\nA. [168, 22, 607, 526]\nB. [457, 352, 509, 466]\nC. [410, 89, 570, 244]\nD. [135, 454, 553, 998]\nAnswer A, B, C, or D.",
+  "choices": [
+    "A. [168, 22, 607, 526]",
+    "B. [457, 352, 509, 466]",
+    "C. [410, 89, 570, 244]",
+    "D. [135, 454, 553, 998]"
+  ],
+  "answer": "B",
+  "camera_a": {
+    "name": "rand_047",
+    "position": [
+      -1.8659028145524532,
+      0.5516196665747375,
+      -0.823080210101232
+    ],
+    "look_at": [
+      0.9029230127428383,
+      -2.235963225124672,
+      -0.9415995327000294
+    ]
+  },
+  "camera_b": {
+    "name": "rand_020",
+    "position": [
+      0.14243180583524917,
+      -0.3437164026596036,
+      -0.6681761264469932
+    ],
+    "look_at": [
+      -0.7107536694046015,
+      -2.087499871700688,
+      -0.755563580516393
+    ]
+  },
+  "object": {
+    "label": "bottle",
+    "id": "bottle_0",
+    "centroid": [
+      -0.6476178765296936,
+      -2.095215082168579,
+      -0.5522070229053497
+    ],
+    "width": 0.12088865041732788,
+    "length": 0.28763675689697266,
+    "height": 0.28279298543930054
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_47_a.jpg",
+  "image_path_b": "question_image_47_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_5.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "The towel is indicated by the red bbox in image 1. Select the corresponding bbox in image 2.\nA. [214, 96, 324, 227]\nB. [635, 0, 983, 730]\nC. [97, 363, 543, 998]\nD. [440, 262, 492, 382]\nAnswer with one letter: A, B, C, or D.",
+  "choices": [
+    "A. [214, 96, 324, 227]",
+    "B. [635, 0, 983, 730]",
+    "C. [97, 363, 543, 998]",
+    "D. [440, 262, 492, 382]"
+  ],
+  "answer": "B",
+  "camera_a": {
+    "name": "rand_058",
+    "position": [
+      0.39835084863154746,
+      -0.8707129897492962,
+      -0.7114969653965475
+    ],
+    "look_at": [
+      -6.720238956315202,
+      -0.5432537948492917,
+      -0.8016773958649458
+    ]
+  },
+  "camera_b": {
+    "name": "rand_054",
+    "position": [
+      -0.40382106427376185,
+      -0.3754951797403203,
+      -0.8243153622330133
+    ],
+    "look_at": [
+      -0.7718260706834271,
+      -2.1117340600206536,
+      -0.9182307641262976
+    ]
+  },
+  "object": {
+    "label": "towel",
+    "id": "towel_0",
+    "centroid": [
+      -1.1321099996566772,
+      -1.4050259590148926,
+      -0.36277832090854645
+    ],
+    "width": 0.416015625,
+    "length": 0.4851226806640625,
+    "height": 1.486357420682907
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_5_a.jpg",
+  "image_path_b": "question_image_5_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_8.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "Based on the red bbox of trash can in the first image, locate its bounding box in the second image. Pick the appropriate answer from the options given.\nA. [343, 293, 388, 387]\nB. [263, 330, 324, 373]\nC. [98, 689, 211, 891]\nD. [449, 0, 677, 638]\nYour answer can only include one of the options A, B, C, or D.",
+  "choices": [
+    "A. [343, 293, 388, 387]",
+    "B. [263, 330, 324, 373]",
+    "C. [98, 689, 211, 891]",
+    "D. [449, 0, 677, 638]"
+  ],
+  "answer": "C",
+  "camera_a": {
+    "name": "rand_014",
+    "position": [
+      -0.9697831087749841,
+      0.2777100496682777,
+      -0.6393850917918438
+    ],
+    "look_at": [
+      -1.2024748534175551,
+      -1.6792336164903772,
+      -0.7738325978235991
+    ]
+  },
+  "camera_b": {
+    "name": "rand_057",
+    "position": [
+      -0.7303768621156378,
+      0.19152661808075933,
+      -0.8754914284543664
+    ],
+    "look_at": [
+      -1.10193958871496,
+      -1.636077231943867,
+      -0.9627482682295991
+    ]
+  },
+  "object": {
+    "label": "trash can",
+    "id": "trash can_0",
+    "centroid": [
+      0.4114028513431549,
+      -2.8809847831726074,
+      -2.0863818526268005
+    ],
+    "width": 0.3284083604812622,
+    "length": 0.5108599662780762,
+    "height": 0.5733300447463989
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_8_a.jpg",
+  "image_path_b": "question_image_8_b.jpg"
+}

0275_txt_3ea0992da6f5/tasks/019_object_matching_mv/question_9.json

@@ -0,0 +1,53 @@
+{
+  "type": "object_matching_mv",
+  "question": "The towel 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. [1, 203, 86, 351]\nB. [684, 413, 912, 528]\nC. [696, 379, 895, 435]\nD. [217, 30, 402, 819]\nAnswer with A, B, C, or D only.",
+  "choices": [
+    "A. [1, 203, 86, 351]",
+    "B. [684, 413, 912, 528]",
+    "C. [696, 379, 895, 435]",
+    "D. [217, 30, 402, 819]"
+  ],
+  "answer": "D",
+  "camera_a": {
+    "name": "rand_053",
+    "position": [
+      -0.33702532446370137,
+      -1.1969917576766682,
+      -0.701425801504671
+    ],
+    "look_at": [
+      -0.9008204750071178,
+      -1.9442081089803132,
+      -0.7883127415904606
+    ]
+  },
+  "camera_b": {
+    "name": "view_010",
+    "position": [
+      -0.0,
+      -0.0,
+      0.0
+    ],
+    "look_at": [
+      -8.36516284942627,
+      -4.829628944396973,
+      -2.5881905555725098
+    ]
+  },
+  "object": {
+    "label": "towel",
+    "id": "towel_0",
+    "centroid": [
+      -1.1321099996566772,
+      -1.4050259590148926,
+      -0.36277832090854645
+    ],
+    "width": 0.416015625,
+    "length": 0.4851226806640625,
+    "height": 1.486357420682907
+  },
+  "scene_id": "0275_txt_3ea0992da6f5",
+  "layout_path": null,
+  "image_path_a": "question_image_9_a.jpg",
+  "image_path_b": "question_image_9_b.jpg"
+}

0285_txt_023ae8395bb2/meta/.cache_manifest.json

@@ -0,0 +1,7 @@
+{
+  "cache_key": "023ae8395bb250cd_marble-1.1_None",
+  "world_id": "8b4aa64f-b103-43fb-8f5e-d20fccab42f1",
+  "operation_id": "a424e5ec-b81c-4e00-b0b4-31b721b28491",
+  "assets_downloaded": true,
+  "usd_converted": true
+}

0285_txt_023ae8395bb2/meta/camera_filter.json

@@ -0,0 +1,6 @@
+{
+  "rejected": [
+    "rand_002",
+    "rand_015"
+  ]
+}

0285_txt_023ae8395bb2/meta/dimension_filter.json

@@ -0,0 +1,3 @@
+{
+  "excluded": []
+}

0285_txt_023ae8395bb2/meta/label_filter.json

@@ -0,0 +1,9 @@
+{
+  "excluded": [
+    "basket_0",
+    "pillow_0",
+    "rug_1",
+    "trash can_1",
+    "vanity_1"
+  ]
+}

0285_txt_023ae8395bb2/meta/segmentation/filtered_objects_v3.json

@@ -0,0 +1,29 @@
+[
+  "basket",
+  "bed",
+  "blanket",
+  "book",
+  "bottle",
+  "box",
+  "changing pad",
+  "clock",
+  "crib",
+  "dresser",
+  "lamp",
+  "linen",
+  "mirror",
+  "nightstand",
+  "outlet",
+  "phone",
+  "picture",
+  "pillow",
+  "poster",
+  "rug",
+  "stuffed animal",
+  "toy",
+  "trash can",
+  "tray",
+  "tripod",
+  "vanity",
+  "window"
+]

0285_txt_023ae8395bb2/meta/segmentation/instance_info.json

@@ -0,0 +1,695 @@
+{
+  "1": {
+    "instance_id": 1,
+    "label": "basket_0",
+    "category": "basket",
+    "n_gaussians": 4796,
+    "center": [
+      0.31234702467918396,
+      0.8821330070495605,
+      -1.0643553733825684
+    ],
+    "bbox_min": [
+      0.134033203125,
+      0.741455078125,
+      -1.39599609375
+    ],
+    "bbox_max": [
+      0.576171875,
+      1.145263671875,
+      -0.886474609375
+    ]
+  },
+  "2": {
+    "instance_id": 2,
+    "label": "bed_0",
+    "category": "bed",
+    "n_gaussians": 69804,
+    "center": [
+      0.02856435440480709,
+      0.5216794013977051,
+      1.7274302244186401
+    ],
+    "bbox_min": [
+      -1.228515625,
+      0.123046875,
+      0.758544921875
+    ],
+    "bbox_max": [
+      1.459716796875,
+      1.14501953125,
+      3.544921875
+    ]
+  },
+  "3": {
+    "instance_id": 3,
+    "label": "blanket_0",
+    "category": "blanket",
+    "n_gaussians": 179128,
+    "center": [
+      -0.0156241524964571,
+      0.5872005820274353,
+      1.7853788137435913
+    ],
+    "bbox_min": [
+      -1.104248046875,
+      0.442138671875,
+      0.849365234375
+    ],
+    "bbox_max": [
+      1.080078125,
+      1.134033203125,
+      3.365966796875
+    ]
+  },
+  "4": {
+    "instance_id": 4,
+    "label": "changing pad_0",
+    "category": "changing pad",
+    "n_gaussians": 12355,
+    "center": [
+      0.9569440484046936,
+      0.23258237540721893,
+      -0.19121822714805603
+    ],
+    "bbox_min": [
+      0.578369140625,
+      0.14990234375,
+      -0.76416015625
+    ],
+    "bbox_max": [
+      1.591552734375,
+      1.105712890625,
+      0.408935546875
+    ]
+  },
+  "6": {
+    "instance_id": 6,
+    "label": "crib_0",
+    "category": "crib",
+    "n_gaussians": 15006,
+    "center": [
+      1.7735404968261719,
+      0.6737722754478455,
+      1.9870939254760742
+    ],
+    "bbox_min": [
+      1.179931640625,
+      0.38525390625,
+      1.374755859375
+    ],
+    "bbox_max": [
+      2.4384765625,
+      1.28173828125,
+      2.681640625
+    ]
+  },
+  "7": {
+    "instance_id": 7,
+    "label": "dresser_0",
+    "category": "dresser",
+    "n_gaussians": 52415,
+    "center": [
+      0.9540666937828064,
+      0.6459694504737854,
+      -0.05468088760972023
+    ],
+    "bbox_min": [
+      0.538818359375,
+      0.26025390625,
+      -0.7802734375
+    ],
+    "bbox_max": [
+      1.710205078125,
+      1.156982421875,
+      0.467041015625
+    ]
+  },
+  "8": {
+    "instance_id": 8,
+    "label": "lamp_0",
+    "category": "lamp",
+    "n_gaussians": 4982,
+    "center": [
+      -1.3203299045562744,
+      0.32536569237709045,
+      1.8300580978393555
+    ],
+    "bbox_min": [
+      -1.549560546875,
+      0.1220703125,
+      1.654541015625
+    ],
+    "bbox_max": [
+      -1.164306640625,
+      0.64501953125,
+      2.08349609375
+    ]
+  },
+  "9": {
+    "instance_id": 9,
+    "label": "nightstand_0",
+    "category": "nightstand",
+    "n_gaussians": 12731,
+    "center": [
+      -1.185258150100708,
+      0.8235459327697754,
+      1.7088840007781982
+    ],
+    "bbox_min": [
+      -1.57666015625,
+      0.578369140625,
+      1.466064453125
+    ],
+    "bbox_max": [
+      -0.920654296875,
+      1.17822265625,
+      2.155517578125
+    ]
+  },
+  "10": {
+    "instance_id": 10,
+    "label": "picture_0",
+    "category": "picture",
+    "n_gaussians": 3371,
+    "center": [
+      -1.5299217700958252,
+      -0.10920712351799011,
+      1.8496849536895752
+    ],
+    "bbox_min": [
+      -1.65966796875,
+      -0.293212890625,
+      1.739990234375
+    ],
+    "bbox_max": [
+      -1.431640625,
+      0.07470703125,
+      2.03369140625
+    ]
+  },
+  "11": {
+    "instance_id": 11,
+    "label": "picture frame_0",
+    "category": "picture frame",
+    "n_gaussians": 10609,
+    "center": [
+      0.6181048154830933,
+      -0.1476486325263977,
+      -1.040439248085022
+    ],
+    "bbox_min": [
+      0.07666015625,
+      -0.3974609375,
+      -1.370361328125
+    ],
+    "bbox_max": [
+      0.951416015625,
+      0.1298828125,
+      -0.79541015625
+    ]
+  },
+  "12": {
+    "instance_id": 12,
+    "label": "pillow_0",
+    "category": "pillow",
+    "n_gaussians": 15856,
+    "center": [
+      -0.5761343240737915,
+      0.47563791275024414,
+      2.4622738361358643
+    ],
+    "bbox_min": [
+      -1.070068359375,
+      0.40380859375,
+      2.041259765625
+    ],
+    "bbox_max": [
+      0.00537109375,
+      0.641845703125,
+      3.56103515625
+    ]
+  },
+  "13": {
+    "instance_id": 13,
+    "label": "rug_0",
+    "category": "rug",
+    "n_gaussians": 19707,
+    "center": [
+      1.1894214153289795,
+      1.1340992450714111,
+      1.054695725440979
+    ],
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+    "label": "picture frame_5",
+    "category": "picture frame",
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+    "label": "picture frame_6",
+    "category": "picture frame",
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+  "41": {
+    "instance_id": 41,
+    "label": "pillow_1",
+    "category": "pillow",
+    "n_gaussians": 1964,
+    "center": [
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+      0.18226800858974457,
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+  "42": {
+    "instance_id": 42,
+    "label": "rug_1",
+    "category": "rug",
+    "n_gaussians": 1470,
+    "center": [
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+  }
+}

0285_txt_023ae8395bb2/meta/segmentation/instance_masks/manifest.json

@@ -0,0 +1,5 @@
+{
+  "filter_cache_version": 3,
+  "min_score": 0.35,
+  "object_names_sha1": "9c2847f4b4d8b12433ae153610f8480416b7d8cb"
+}

0285_txt_023ae8395bb2/meta/segmentation/instance_masks/view_000_labels.json

@@ -0,0 +1 @@
+{"1": "bed", "2": "bed", "3": "crib", "4": "dresser", "5": "dresser", "6": "lamp", "7": "linen", "8": "linen", "9": "linen", "10": "nightstand", "11": "nightstand", "12": "picture", "13": "picture", "14": "picture", "15": "picture", "16": "picture", "17": "pillow", "18": "pillow", "19": "rug", "20": "window", "21": "window"}

0285_txt_023ae8395bb2/meta/segmentation/instance_masks/view_001_labels.json

@@ -0,0 +1 @@
+{"1": "basket", "2": "bed", "3": "dresser", "4": "dresser", "5": "dresser", "6": "lamp", "7": "linen", "8": "linen", "9": "linen", "10": "nightstand", "11": "nightstand", "12": "outlet", "13": "outlet", "14": "picture", "15": "picture", "16": "picture", "17": "picture", "18": "picture", "19": "picture", "20": "pillow", "21": "pillow", "22": "trash can"}

0285_txt_023ae8395bb2/meta/segmentation/instance_masks/view_002_labels.json

@@ -0,0 +1 @@
+{"1": "bed", "2": "dresser", "3": "dresser", "4": "lamp", "5": "linen", "6": "nightstand", "7": "outlet", "8": "outlet", "9": "picture", "10": "picture", "11": "picture", "12": "picture", "13": "picture", "14": "picture", "15": "picture", "16": "pillow", "17": "trash can"}

0285_txt_023ae8395bb2/meta/segmentation/instance_masks/view_003_labels.json

@@ -0,0 +1 @@
+{"1": "basket", "2": "dresser", "3": "outlet", "4": "outlet", "5": "picture", "6": "picture", "7": "picture", "8": "picture", "9": "picture", "10": "trash can", "11": "tripod", "12": "vanity"}

0285_txt_023ae8395bb2/meta/segmentation/instance_masks/view_004_labels.json

@@ -0,0 +1 @@
+{"1": "picture"}

0285_txt_023ae8395bb2/meta/segmentation/instance_masks/view_005_labels.json

@@ -0,0 +1 @@
+{"1": "basket", "2": "picture", "3": "picture", "4": "trash can"}

0285_txt_023ae8395bb2/meta/segmentation/instance_masks/view_006_labels.json

@@ -0,0 +1 @@
+{"1": "basket", "2": "picture", "3": "picture", "4": "picture", "5": "trash can"}

0285_txt_023ae8395bb2/meta/segmentation/instance_masks/view_007_labels.json

@@ -0,0 +1 @@
+{"1": "basket", "2": "changing pad", "3": "dresser", "4": "picture", "5": "picture", "6": "picture", "7": "picture", "8": "picture", "9": "stuffed animal", "10": "toy", "11": "trash can"}

0285_txt_023ae8395bb2/meta/segmentation/instance_masks/view_008_labels.json

@@ -0,0 +1 @@
+{"1": "basket", "2": "changing pad", "3": "dresser", "4": "picture", "5": "picture", "6": "picture", "7": "picture", "8": "picture", "9": "pillow", "10": "stuffed animal", "11": "toy", "12": "vanity"}

0285_txt_023ae8395bb2/meta/segmentation/instance_masks/view_009_labels.json

@@ -0,0 +1 @@
+{"1": "changing pad", "2": "crib", "3": "dresser", "4": "picture", "5": "picture", "6": "picture", "7": "pillow", "8": "poster", "9": "poster", "10": "rug", "11": "vanity"}

0285_txt_023ae8395bb2/meta/segmentation/instance_masks/view_010_labels.json

@@ -0,0 +1 @@
+{"1": "bed", "2": "bed", "3": "bed", "4": "changing pad", "5": "crib", "6": "dresser", "7": "picture", "8": "picture", "9": "rug", "10": "vanity", "11": "window", "12": "window"}

0285_txt_023ae8395bb2/meta/segmentation/instance_masks/view_011_labels.json

@@ -0,0 +1 @@
+{"1": "bed", "2": "crib", "3": "linen", "4": "linen", "5": "linen", "6": "nightstand", "7": "picture", "8": "picture", "9": "picture", "10": "pillow", "11": "pillow", "12": "rug", "13": "rug", "14": "window", "15": "window"}

0285_txt_023ae8395bb2/meta/segmentation/object_lists.json

@@ -0,0 +1,301 @@
+{
+  "caption_objects": [
+    "bed",
+    "linen",
+    "nightstand",
+    "lamp",
+    "phone",
+    "item",
+    "crib",
+    "toy",
+    "rug",
+    "furniture",
+    "dresser",
+    "changing pad",
+    "basket",
+    "diaper",
+    "pet bed",
+    "vanity",
+    "makeup",
+    "jewelry",
+    "photograph",
+    "decal",
+    "window",
+    "roman shade",
+    "shadow",
+    "light",
+    "poster",
+    "doorway"
+  ],
+  "view_objects": [
+    [
+      "bed",
+      "headboard",
+      "footboard",
+      "mattress",
+      "comforter",
+      "pillow",
+      "nightstand",
+      "lamp",
+      "clock",
+      "book",
+      "picture",
+      "window",
+      "blind",
+      "crib",
+      "mattress",
+      "blanket",
+      "rug"
+    ],
+    [
+      "bed",
+      "headboard",
+      "footboard",
+      "pillow",
+      "comforter",
+      "nightstand",
+      "lamp",
+      "telephone",
+      "clock",
+      "book",
+      "dresser",
+      "box",
+      "basket",
+      "tripod",
+      "outlet",
+      "cord",
+      "picture frame",
+      "photo",
+      "side table",
+      "humidifier"
+    ],
+    [
+      "dresser",
+      "tray",
+      "bottle",
+      "book",
+      "mirror",
+      "plate",
+      "frame",
+      "photo",
+      "bed",
+      "pillow",
+      "blanket",
+      "headboard",
+      "nightstand",
+      "lamp",
+      "clock",
+      "remote",
+      "paper",
+      "trash can",
+      "tripod",
+      "outlet",
+      "cord"
+    ],
+    [
+      "doorway",
+      "picture",
+      "frame",
+      "dresser",
+      "tray",
+      "book",
+      "bottle",
+      "spray bottle",
+      "box",
+      "jar",
+      "brush",
+      "cloth",
+      "paper",
+      "mirror",
+      "basket",
+      "magazine",
+      "trash can",
+      "outlet",
+      "plug",
+      "cable",
+      "tripod"
+    ],
+    [
+      "door",
+      "doorknob",
+      "door frame",
+      "light switch",
+      "picture",
+      "picture frame",
+      "cabinet",
+      "tray",
+      "bottle",
+      "box"
+    ],
+    [
+      "door",
+      "doorknob",
+      "mirror",
+      "light switch",
+      "picture frame",
+      "basket"
+    ],
+    [
+      "picture",
+      "photo frame",
+      "wall letter",
+      "door",
+      "doorknob",
+      "basket",
+      "cloth",
+      "slipper"
+    ],
+    [
+      "picture",
+      "frame",
+      "dresser",
+      "drawer",
+      "knob",
+      "changing pad",
+      "basket",
+      "cloth",
+      "stuffed animal",
+      "bone",
+      "door",
+      "doorknob",
+      "wall decal"
+    ],
+    [
+      "dresser",
+      "changing pad",
+      "pillow",
+      "picture frame",
+      "poster",
+      "basket",
+      "cloth",
+      "stuffed animal",
+      "ball",
+      "drawer knob"
+    ],
+    [
+      "picture frame",
+      "closet door",
+      "dresser",
+      "changing pad",
+      "pillow",
+      "poster",
+      "crib",
+      "pet bed",
+      "rug"
+    ],
+    [
+      "window",
+      "blind",
+      "bed",
+      "crib",
+      "mattress",
+      "blanket",
+      "pillow",
+      "dresser",
+      "changing pad",
+      "closet door",
+      "rug",
+      "picture frame",
+      "flower decoration",
+      "drawer knob"
+    ],
+    [
+      "bed",
+      "pillow",
+      "comforter",
+      "headboard",
+      "footboard",
+      "nightstand",
+      "lamp",
+      "photo",
+      "window",
+      "blind",
+      "crib",
+      "book",
+      "rug",
+      "closet door",
+      "picture frame",
+      "wall decoration",
+      "mat"
+    ]
+  ],
+  "merged_objects": [
+    "ball",
+    "basket",
+    "bed",
+    "blanket",
+    "blind",
+    "bone",
+    "book",
+    "bottle",
+    "box",
+    "brush",
+    "cabinet",
+    "cable",
+    "changing pad",
+    "clock",
+    "closet door",
+    "cloth",
+    "comforter",
+    "cord",
+    "crib",
+    "decal",
+    "diaper",
+    "door",
+    "door frame",
+    "doorknob",
+    "doorway",
+    "drawer",
+    "drawer knob",
+    "dresser",
+    "flower decoration",
+    "footboard",
+    "frame",
+    "furniture",
+    "headboard",
+    "humidifier",
+    "item",
+    "jar",
+    "jewelry",
+    "knob",
+    "lamp",
+    "light switch",
+    "linen",
+    "magazine",
+    "makeup",
+    "mat",
+    "mattress",
+    "mirror",
+    "nightstand",
+    "outlet",
+    "paper",
+    "pet bed",
+    "phone",
+    "photo",
+    "photo frame",
+    "photograph",
+    "picture",
+    "picture frame",
+    "pillow",
+    "plate",
+    "plug",
+    "poster",
+    "remote",
+    "roman shade",
+    "rug",
+    "side table",
+    "slipper",
+    "spray bottle",
+    "stuffed animal",
+    "telephone",
+    "toy",
+    "trash can",
+    "tray",
+    "tripod",
+    "vanity",
+    "wall decal",
+    "wall decoration",
+    "wall letter",
+    "window"
+  ]
+}