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0257_txt_4f009a3a8080/meta/segmentation/filtered_objects_v3.json

@@ -0,0 +1,28 @@
+[
+  "book",
+  "box",
+  "cable",
+  "cat puzzle feeder",
+  "chair",
+  "cup",
+  "desk",
+  "door",
+  "figurine",
+  "fish",
+  "headphone",
+  "jar",
+  "keyboard",
+  "monitor",
+  "mouse",
+  "paper",
+  "pen",
+  "phone stand",
+  "picture frame",
+  "shelf",
+  "smartphone",
+  "speaker",
+  "stool",
+  "table",
+  "utility access panel",
+  "window"
+]

0257_txt_4f009a3a8080/meta/segmentation/instance_info.json

@@ -0,0 +1,380 @@
+{
+  "1": {
+    "instance_id": 1,
+    "label": "cat tower_0",
+    "category": "cat tower",
+    "n_gaussians": 12293,
+    "center": [
+      1.8086609840393066,
+      0.9754147529602051,
+      0.5162150859832764
+    ],
+    "bbox_min": [
+      1.469482421875,
+      -0.131591796875,
+      0.150146484375
+    ],
+    "bbox_max": [
+      2.280029296875,
+      1.666015625,
+      0.9658203125
+    ]
+  },
+  "3": {
+    "instance_id": 3,
+    "label": "cup_0",
+    "category": "cup",
+    "n_gaussians": 113,
+    "center": [
+      1.079317569732666,
+      0.0023744297213852406,
+      1.9977293014526367
+    ],
+    "bbox_min": [
+      1.015625,
+      -0.057373046875,
+      1.886962890625
+    ],
+    "bbox_max": [
+      1.248779296875,
+      0.0546875,
+      2.30029296875
+    ]
+  },
+  "4": {
+    "instance_id": 4,
+    "label": "door_0",
+    "category": "door",
+    "n_gaussians": 99937,
+    "center": [
+      -0.7818496823310852,
+      0.39615997672080994,
+      -0.66075599193573
+    ],
+    "bbox_min": [
+      -1.091064453125,
+      -0.402099609375,
+      -1.16455078125
+    ],
+    "bbox_max": [
+      -0.48681640625,
+      1.369873046875,
+      -0.227783203125
+    ]
+  },
+  "6": {
+    "instance_id": 6,
+    "label": "fish picture_0",
+    "category": "fish picture",
+    "n_gaussians": 32118,
+    "center": [
+      0.8723883628845215,
+      -0.13248054683208466,
+      -0.5923810005187988
+    ],
+    "bbox_min": [
+      0.171142578125,
+      -0.544921875,
+      -0.987548828125
+    ],
+    "bbox_max": [
+      1.720703125,
+      0.212158203125,
+      -0.105224609375
+    ]
+  },
+  "7": {
+    "instance_id": 7,
+    "label": "headphones_0",
+    "category": "headphones",
+    "n_gaussians": 5036,
+    "center": [
+      1.2292555570602417,
+      0.0650482028722763,
+      1.840748906135559
+    ],
+    "bbox_min": [
+      1.028564453125,
+      -0.180419921875,
+      1.72021484375
+    ],
+    "bbox_max": [
+      1.587646484375,
+      0.267822265625,
+      2.355224609375
+    ]
+  },
+  "8": {
+    "instance_id": 8,
+    "label": "keyboard_0",
+    "category": "keyboard",
+    "n_gaussians": 15237,
+    "center": [
+      0.10007041692733765,
+      0.28389689326286316,
+      1.203032374382019
+    ],
+    "bbox_min": [
+      -0.197265625,
+      0.25390625,
+      0.9990234375
+    ],
+    "bbox_max": [
+      0.515625,
+      0.319091796875,
+      1.69775390625
+    ]
+  },
+  "9": {
+    "instance_id": 9,
+    "label": "monitor_0",
+    "category": "monitor",
+    "n_gaussians": 27781,
+    "center": [
+      -0.0866454541683197,
+      -0.1360650211572647,
+      1.4443371295928955
+    ],
+    "bbox_min": [
+      -0.388916015625,
+      -0.44384765625,
+      1.275634765625
+    ],
+    "bbox_max": [
+      0.3388671875,
+      0.299560546875,
+      1.864013671875
+    ]
+  },
+  "10": {
+    "instance_id": 10,
+    "label": "mouse pad_0",
+    "category": "mouse pad",
+    "n_gaussians": 1194,
+    "center": [
+      0.6153165698051453,
+      0.27699247002601624,
+      1.5541969537734985
+    ],
+    "bbox_min": [
+      0.156982421875,
+      0.250732421875,
+      1.126220703125
+    ],
+    "bbox_max": [
+      1.29931640625,
+      0.311767578125,
+      2.041748046875
+    ]
+  },
+  "11": {
+    "instance_id": 11,
+    "label": "office chair_0",
+    "category": "office chair",
+    "n_gaussians": 69057,
+    "center": [
+      0.5986770391464233,
+      0.5573257803916931,
+      0.8959751129150391
+    ],
+    "bbox_min": [
+      0.144287109375,
+      -0.33984375,
+      0.532470703125
+    ],
+    "bbox_max": [
+      1.497314453125,
+      1.538818359375,
+      1.77099609375
+    ]
+  },
+  "12": {
+    "instance_id": 12,
+    "label": "picture frame_0",
+    "category": "picture frame",
+    "n_gaussians": 2503,
+    "center": [
+      0.2537364363670349,
+      -0.15647199749946594,
+      -0.9319049715995789
+    ],
+    "bbox_min": [
+      0.135498046875,
+      -0.32080078125,
+      -1.025146484375
+    ],
+    "bbox_max": [
+      0.63916015625,
+      0.21240234375,
+      -0.72802734375
+    ]
+  },
+  "13": {
+    "instance_id": 13,
+    "label": "shelf_0",
+    "category": "shelf",
+    "n_gaussians": 3005,
+    "center": [
+      1.8036848306655884,
+      1.0665494203567505,
+      0.34246721863746643
+    ],
+    "bbox_min": [
+      1.572509765625,
+      0.71923828125,
+      0.16015625
+    ],
+    "bbox_max": [
+      2.345703125,
+      1.449462890625,
+      0.922119140625
+    ]
+  },
+  "14": {
+    "instance_id": 14,
+    "label": "speaker_0",
+    "category": "speaker",
+    "n_gaussians": 26846,
+    "center": [
+      -0.5013389587402344,
+      0.023839004337787628,
+      1.1940715312957764
+    ],
+    "bbox_min": [
+      -0.815185546875,
+      -0.26611328125,
+      0.9794921875
+    ],
+    "bbox_max": [
+      -0.38818359375,
+      0.30908203125,
+      1.510498046875
+    ]
+  },
+  "15": {
+    "instance_id": 15,
+    "label": "stool_0",
+    "category": "stool",
+    "n_gaussians": 16377,
+    "center": [
+      -0.5889027714729309,
+      0.6616339087486267,
+      0.6637834906578064
+    ],
+    "bbox_min": [
+      -0.917724609375,
+      0.38134765625,
+      0.484130859375
+    ],
+    "bbox_max": [
+      -0.381103515625,
+      1.290771484375,
+      1.388671875
+    ]
+  },
+  "17": {
+    "instance_id": 17,
+    "label": "toy figure_0",
+    "category": "toy figure",
+    "n_gaussians": 29529,
+    "center": [
+      -0.6794673800468445,
+      0.18269404768943787,
+      0.8955628275871277
+    ],
+    "bbox_min": [
+      -1.081787109375,
+      -0.177978515625,
+      0.52978515625
+    ],
+    "bbox_max": [
+      -0.418212890625,
+      0.41064453125,
+      1.291015625
+    ]
+  },
+  "18": {
+    "instance_id": 18,
+    "label": "chair_1",
+    "category": "chair",
+    "n_gaussians": 1318,
+    "center": [
+      1.7806931734085083,
+      0.848392903804779,
+      0.6313130259513855
+    ],
+    "bbox_min": [
+      1.6083984375,
+      0.70947265625,
+      0.232421875
+    ],
+    "bbox_max": [
+      2.200927734375,
+      1.074462890625,
+      0.9638671875
+    ]
+  },
+  "21": {
+    "instance_id": 21,
+    "label": "door_1",
+    "category": "door",
+    "n_gaussians": 6719,
+    "center": [
+      -0.017448551952838898,
+      0.07225210964679718,
+      -1.068628191947937
+    ],
+    "bbox_min": [
+      -0.1884765625,
+      -0.356201171875,
+      -1.188720703125
+    ],
+    "bbox_max": [
+      0.231689453125,
+      0.365478515625,
+      -0.93017578125
+    ]
+  },
+  "23": {
+    "instance_id": 23,
+    "label": "mouse pad_1",
+    "category": "mouse pad",
+    "n_gaussians": 104,
+    "center": [
+      -0.13980337977409363,
+      0.30300667881965637,
+      1.322314977645874
+    ],
+    "bbox_min": [
+      -0.286865234375,
+      0.278076171875,
+      1.011962890625
+    ],
+    "bbox_max": [
+      -0.000244140625,
+      0.31787109375,
+      1.60546875
+    ]
+  },
+  "27": {
+    "instance_id": 27,
+    "label": "speaker_1",
+    "category": "speaker",
+    "n_gaussians": 6124,
+    "center": [
+      0.7684909105300903,
+      0.021338345482945442,
+      1.8573297262191772
+    ],
+    "bbox_min": [
+      0.5908203125,
+      -0.27685546875,
+      1.759521484375
+    ],
+    "bbox_max": [
+      1.05517578125,
+      0.286865234375,
+      2.143798828125
+    ]
+  }
+}

0257_txt_4f009a3a8080/meta/segmentation/instance_masks/manifest.json

@@ -0,0 +1,5 @@
+{
+  "filter_cache_version": 3,
+  "min_score": 0.35,
+  "object_names_sha1": "38d31d41e31811f3efd646b5fd6661b9cdde6d8b"
+}

0257_txt_4f009a3a8080/meta/segmentation/instance_masks/view_000_labels.json

@@ -0,0 +1 @@
+{"1": "cable", "2": "cable", "3": "chair", "4": "desk", "5": "figurine", "6": "figurine", "7": "figurine", "8": "figurine", "9": "figurine", "10": "figurine", "11": "figurine", "12": "figurine", "13": "figurine", "14": "figurine", "15": "figurine", "16": "figurine", "17": "headphone", "18": "keyboard", "19": "monitor", "20": "mouse", "21": "pen", "22": "speaker", "23": "speaker", "24": "table"}

0257_txt_4f009a3a8080/meta/segmentation/instance_masks/view_001_labels.json

@@ -0,0 +1 @@
+{"1": "cable", "2": "cable", "3": "desk", "4": "desk", "5": "figurine", "6": "figurine", "7": "figurine", "8": "figurine", "9": "figurine", "10": "figurine", "11": "figurine", "12": "figurine", "13": "figurine", "14": "figurine", "15": "figurine", "16": "figurine", "17": "figurine", "18": "figurine", "19": "figurine", "20": "figurine", "21": "keyboard", "22": "monitor", "23": "shelf", "24": "speaker", "25": "stool", "26": "table", "27": "table", "28": "utility access panel"}

0257_txt_4f009a3a8080/meta/segmentation/instance_masks/view_002_labels.json

@@ -0,0 +1 @@
+{"1": "desk", "2": "desk", "3": "door", "4": "figurine", "5": "figurine", "6": "figurine", "7": "figurine", "8": "figurine", "9": "figurine", "10": "figurine", "11": "figurine", "12": "figurine", "13": "figurine", "14": "figurine", "15": "figurine", "16": "figurine", "17": "figurine", "18": "figurine", "19": "speaker", "20": "stool", "21": "table"}

0257_txt_4f009a3a8080/meta/segmentation/instance_masks/view_003_labels.json

@@ -0,0 +1 @@
+{"1": "desk", "2": "door", "3": "figurine", "4": "table"}

0257_txt_4f009a3a8080/meta/segmentation/instance_masks/view_004_labels.json

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

0257_txt_4f009a3a8080/meta/segmentation/instance_masks/view_005_labels.json

@@ -0,0 +1 @@
+{"1": "door", "2": "picture frame"}

0257_txt_4f009a3a8080/meta/segmentation/instance_masks/view_006_labels.json

@@ -0,0 +1 @@
+{"1": "door", "2": "fish", "3": "picture frame"}

0257_txt_4f009a3a8080/meta/segmentation/instance_masks/view_007_labels.json

@@ -0,0 +1 @@
+{"1": "fish", "2": "fish", "3": "picture frame"}

0257_txt_4f009a3a8080/meta/segmentation/instance_masks/view_008_labels.json

@@ -0,0 +1 @@
+{"1": "cat puzzle feeder", "2": "fish", "3": "fish", "4": "shelf", "5": "shelf", "6": "shelf", "7": "shelf"}

0257_txt_4f009a3a8080/meta/segmentation/instance_masks/view_009_labels.json

@@ -0,0 +1 @@
+{"1": "cat puzzle feeder", "2": "fish", "3": "fish", "4": "shelf", "5": "shelf", "6": "shelf", "7": "shelf"}

0257_txt_4f009a3a8080/meta/segmentation/instance_masks/view_010_labels.json

@@ -0,0 +1 @@
+{"1": "cat puzzle feeder", "2": "chair", "3": "desk", "4": "fish", "5": "headphone", "6": "mouse", "7": "shelf", "8": "shelf", "9": "shelf", "10": "shelf", "11": "speaker", "12": "table"}

0257_txt_4f009a3a8080/meta/segmentation/instance_masks/view_011_labels.json

@@ -0,0 +1 @@
+{"1": "cable", "2": "chair", "3": "desk", "4": "headphone", "5": "keyboard", "6": "monitor", "7": "mouse", "8": "pen", "9": "shelf", "10": "shelf", "11": "speaker", "12": "table"}

0257_txt_4f009a3a8080/meta/segmentation/object_lists.json

@@ -0,0 +1,222 @@
+{
+  "caption_objects": [
+    "desk",
+    "monitor",
+    "code editor",
+    "studio monitor",
+    "woofer",
+    "keyboard",
+    "keycap",
+    "chassis",
+    "mouse",
+    "mousepad",
+    "logo",
+    "headphone",
+    "earcup",
+    "cluster",
+    "figurine",
+    "pokemon",
+    "character",
+    "phone stand",
+    "smartphone",
+    "painting",
+    "fish",
+    "speaker",
+    "chair",
+    "back",
+    "armrest",
+    "cat puzzle feeder",
+    "hole",
+    "leg",
+    "utility access panel",
+    "cable",
+    "cup",
+    "pen",
+    "stack",
+    "book",
+    "box",
+    "paper",
+    "shelf",
+    "window"
+  ],
+  "view_objects": [
+    [
+      "monitor",
+      "monitor stand",
+      "speaker",
+      "speaker",
+      "keyboard",
+      "mouse",
+      "mouse pad",
+      "headphone",
+      "headphone stand",
+      "pencil cup",
+      "pen",
+      "desk",
+      "chair",
+      "cable",
+      "figurine",
+      "figurine",
+      "figurine",
+      "figurine",
+      "figurine",
+      "figurine",
+      "figurine",
+      "figurine",
+      "figurine",
+      "figurine",
+      "book",
+      "book"
+    ],
+    [
+      "monitor",
+      "speaker",
+      "keyboard",
+      "desk",
+      "figurine",
+      "jar",
+      "stool",
+      "book",
+      "folder",
+      "cable",
+      "chair"
+    ],
+    [
+      "door",
+      "table",
+      "stool",
+      "speaker",
+      "figurine",
+      "book"
+    ],
+    [
+      "door",
+      "table",
+      "figurine",
+      "bag"
+    ],
+    [
+      "door",
+      "door handle"
+    ],
+    [
+      "door",
+      "door handle",
+      "picture frame",
+      "picture"
+    ],
+    [
+      "fish",
+      "picture frame",
+      "door",
+      "door handle"
+    ],
+    [
+      "picture frame",
+      "fish"
+    ],
+    [
+      "picture",
+      "frame",
+      "fish",
+      "shelf",
+      "jar",
+      "lid"
+    ],
+    [
+      "chair",
+      "cat tower",
+      "ball",
+      "picture frame",
+      "fish"
+    ],
+    [
+      "speaker",
+      "desk",
+      "mouse",
+      "mouse pad",
+      "headphone",
+      "headphone stand",
+      "cup",
+      "pen",
+      "chair",
+      "rocket shelf",
+      "jar",
+      "picture frame"
+    ],
+    [
+      "monitor",
+      "monitor stand",
+      "keyboard",
+      "speaker",
+      "mouse",
+      "mouse pad",
+      "headphone",
+      "pen cup",
+      "pen",
+      "desk",
+      "chair",
+      "cable",
+      "shelf"
+    ]
+  ],
+  "merged_objects": [
+    "armrest",
+    "back",
+    "bag",
+    "ball",
+    "book",
+    "box",
+    "cable",
+    "cat puzzle feeder",
+    "cat tower",
+    "chair",
+    "character",
+    "chassis",
+    "cluster",
+    "code editor",
+    "cup",
+    "desk",
+    "door",
+    "door handle",
+    "earcup",
+    "figurine",
+    "fish",
+    "folder",
+    "frame",
+    "headphone",
+    "headphone stand",
+    "hole",
+    "jar",
+    "keyboard",
+    "keycap",
+    "leg",
+    "lid",
+    "logo",
+    "monitor",
+    "monitor stand",
+    "mouse",
+    "mouse pad",
+    "mousepad",
+    "painting",
+    "paper",
+    "pen",
+    "pen cup",
+    "pencil cup",
+    "phone stand",
+    "picture",
+    "picture frame",
+    "pokemon",
+    "rocket shelf",
+    "shelf",
+    "smartphone",
+    "speaker",
+    "stack",
+    "stool",
+    "studio monitor",
+    "table",
+    "utility access panel",
+    "window",
+    "woofer"
+  ]
+}

0257_txt_4f009a3a8080/meta/segmentation/scene.json

@@ -0,0 +1,410 @@
+{
+  "scene_id": "87b5cb12-208",
+  "source": "marble_3d_labeling",
+  "objects": [
+    {
+      "id": "cat tower_0",
+      "label": "cat tower",
+      "type": "cat tower",
+      "x": 1.8086609840393066,
+      "y": 0.9754147529602051,
+      "z": -0.131591796875,
+      "rotation_z": 0.0,
+      "width": 0.810546875,
+      "length": 0.815673828125,
+      "height": 1.797607421875,
+      "n_gaussians": 12293
+    },
+    {
+      "id": "cup_0",
+      "label": "cup",
+      "type": "cup",
+      "x": 1.079317569732666,
+      "y": 0.0023744297213852406,
+      "z": -0.057373046875,
+      "rotation_z": 0.0,
+      "width": 0.233154296875,
+      "length": 0.413330078125,
+      "height": 0.112060546875,
+      "n_gaussians": 113
+    },
+    {
+      "id": "door_0",
+      "label": "door",
+      "type": "door",
+      "x": -0.7818496823310852,
+      "y": 0.39615997672080994,
+      "z": -0.402099609375,
+      "rotation_z": 0.0,
+      "width": 0.604248046875,
+      "length": 0.936767578125,
+      "height": 1.77197265625,
+      "n_gaussians": 99937
+    },
+    {
+      "id": "fish picture_0",
+      "label": "fish picture",
+      "type": "fish picture",
+      "x": 0.8723883628845215,
+      "y": -0.13248054683208466,
+      "z": -0.544921875,
+      "rotation_z": 0.0,
+      "width": 1.549560546875,
+      "length": 0.88232421875,
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+    "depth_path": "/opt/dlami/nvme/output_batch/0257_txt_4f009a3a8080/meta/segmentation/views/view_008_depth.npy"
+  },
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+    "depth_path": "/opt/dlami/nvme/output_batch/0257_txt_4f009a3a8080/meta/segmentation/views/view_009_depth.npy"
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+    "index": 10,
+    "azimuth_deg": 300.0,
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+    "rgb_path": "/opt/dlami/nvme/output_batch/0257_txt_4f009a3a8080/meta/segmentation/views/view_010.png",
+    "depth_path": "/opt/dlami/nvme/output_batch/0257_txt_4f009a3a8080/meta/segmentation/views/view_010_depth.npy"
+  },
+  {
+    "name": "view_011",
+    "index": 11,
+    "azimuth_deg": 330.0,
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+    "cx": 648.0,
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+    "width": 1296,
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+    "horizontal_fov_deg": 82.0,
+    "rgb_path": "/opt/dlami/nvme/output_batch/0257_txt_4f009a3a8080/meta/segmentation/views/view_011.png",
+    "depth_path": "/opt/dlami/nvme/output_batch/0257_txt_4f009a3a8080/meta/segmentation/views/view_011_depth.npy"
+  }
+]

0265_txt_3024175d897d/input.json

@@ -0,0 +1,7 @@
+{
+  "prompt": "This is a vintage-style residential interior, likely a hallway or entryway connecting to a kitchen, characterized by ornate woodwork and period wallpaper. The camera is positioned in the center of the hallway, facing two adjacent doorways framed by heavy, dark-stained wooden trim with decorative rosettes at the corners. The space is narrow and vertically oriented, with high ceilings implied by the tall door frames and wallpaper pattern. The left doorway opens into a room with pink-and-white dotted wallpaper, while the right reveals a bright kitchen with white cabinetry and a window draped in lace curtains.\n\nThe walls are covered in cream-and-beige vertical striped wallpaper with a subtle sheen, contrasting with the rich, polished mahogany of the door frames and the lighter, matte white of the kitchen cabinets. The flooring is not fully visible but appears to be medium-toned hardwood. Lighting is soft and diffused, primarily natural, entering from the kitchen window, casting gentle shadows and creating a warm, nostalgic ambiance. The overall mood is quiet, domestic, and slightly formal, evoking early 20th-century American home design.\n\n- Wooden Door Frame (Left): Tall, rectangular, dark mahogany with fluted vertical panels and carved rosettes at top corners; glossy finish, slightly worn at edges; positioned along left wall, framing open doorway.\n- Wooden Door (Left): Partially open, matching mahogany with vertical paneling; brass hinge visible; positioned within left door frame, angled inward.\n- Wallpaper (Left Room): Pink with vertical rows of small white dots; matte, slightly textured; covers wall visible through left doorway.\n- Small Framed Photo (Left Wall): Rectangular, gold-toned frame with dark mat; depicts portrait; mounted on left wall, just right of doorway.\n- Wooden Door Frame (Right): Identical in style to left, dark mahogany with rosettes; glossy, well-preserved; frames right doorway.\n- Kitchen Window: Rectangular, centered in far wall; covered with white lace curtains and valance; allows bright, diffused daylight.\n- White Kitchen Cabinets: Lower base cabinets with paneled doors and black metal handles; matte white painted wood; positioned beneath countertop in right room.\n- Countertop (Kitchen): Dark wood or laminate, smooth surface; visible above cabinets, extends to right edge of frame.\n- Wall-Mounted Telephone (Kitchen): Antique-style black rotary phone; mounted on wall above sink; visible through right doorway.\n- Small Table (Left Room): Wooden, partially visible; covered with white cloth; holds books and small decorative objects.\n- Framed Picture (Left Room Wall): Small, square, dark frame; hangs above table; image indistinct but appears to be vintage print.",
+  "meta_info": {
+    "image_pth": "/home/ubuntu/benchmarks/results/MMSI-Bench/80.jpg",
+    "source": "MMSI-Bench"
+  }
+}

0265_txt_3024175d897d/tasks/000_closest_object/question_0.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Out of window (blue point) and flowerpot (red point), which object is the nearest to the camera? Calculate or judge based on the 3D center points of these objects. Choose the appropriate answer.",
+  "choices": [
+    "A. window (blue point)",
+    "B. flowerpot (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "rand_053",
+  "camera_position": [
+    -0.6098295376642358,
+    -0.1849641899340318,
+    -1.6700854239828256
+  ],
+  "camera_look_at": [
+    -5.9905604720936765,
+    0.8952917397005863,
+    -1.7811279939673341
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "window",
+    "id": "window_0",
+    "centroid": [
+      -6.063774108886719,
+      -0.7492386102676392,
+      0.0661962628364563
+    ],
+    "distance_to_camera": 5.751399056177029,
+    "width": 0.375,
+    "length": 1.479111347347498,
+    "height": 1.7718360424041748
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "flowerpot",
+    "id": "flowerpot_0",
+    "centroid": [
+      -5.466036796569824,
+      -1.3819857835769653,
+      -0.7951464951038361
+    ],
+    "distance_to_camera": 5.077511966146678,
+    "width": 0.5326461791992188,
+    "length": 0.5165917873382568,
+    "height": 0.4902734160423279
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_0.jpg"
+}

0265_txt_3024175d897d/tasks/000_closest_object/question_1.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Which of the following is nearer to the camera \u2014 curtain (blue point) or flowerpot (red point)? Calculate or judge based on the 3D center points of these objects. Select the correct choice.",
+  "choices": [
+    "A. curtain (blue point)",
+    "B. flowerpot (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "rand_010",
+  "camera_position": [
+    -0.21500569134339653,
+    0.2756623790614493,
+    -0.7986892948264268
+  ],
+  "camera_look_at": [
+    -5.928224296868586,
+    0.9447867637257794,
+    -0.8988389300506382
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "curtain",
+    "id": "curtain_0",
+    "centroid": [
+      -5.846636772155762,
+      -0.7505708336830139,
+      1.2623046934604645
+    ],
+    "distance_to_camera": 6.084087397224532,
+    "width": 0.398681640625,
+    "length": 1.571533203125,
+    "height": 0.662402331829071
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "flowerpot",
+    "id": "flowerpot_0",
+    "centroid": [
+      -5.466036796569824,
+      -1.3819857835769653,
+      -0.7951464951038361
+    ],
+    "distance_to_camera": 5.506463261530387,
+    "width": 0.5326461791992188,
+    "length": 0.5165917873382568,
+    "height": 0.4902734160423279
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_1.jpg"
+}

0265_txt_3024175d897d/tasks/000_closest_object/question_2.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Look at window (blue point) and flowerpot (red point). Which one appears at a shorter depth from the camera? Calculate or judge based on the 3D center points of these objects. Pick the correct answer.",
+  "choices": [
+    "A. window (blue point)",
+    "B. flowerpot (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "rand_048",
+  "camera_position": [
+    -0.49926202455239554,
+    0.42873952985755015,
+    -1.7550496491571221
+  ],
+  "camera_look_at": [
+    -5.957060965183227,
+    0.9637013826285648,
+    -1.8570566302668734
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "window",
+    "id": "window_0",
+    "centroid": [
+      -6.063774108886719,
+      -0.7492386102676392,
+      0.0661962628364563
+    ],
+    "distance_to_camera": 5.972299716798282,
+    "width": 0.375,
+    "length": 1.479111347347498,
+    "height": 1.7718360424041748
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "flowerpot",
+    "id": "flowerpot_0",
+    "centroid": [
+      -5.466036796569824,
+      -1.3819857835769653,
+      -0.7951464951038361
+    ],
+    "distance_to_camera": 5.372987238196528,
+    "width": 0.5326461791992188,
+    "length": 0.5165917873382568,
+    "height": 0.4902734160423279
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_2.jpg"
+}

0265_txt_3024175d897d/tasks/000_closest_object/question_3.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Identify which object has a smaller distance to the camera: curtain (blue point) or picture frame (red point). Calculate or judge based on the 3D center points of these objects. Choose the right response.",
+  "choices": [
+    "A. curtain (blue point)",
+    "B. picture frame (red point)"
+  ],
+  "answer": "B",
+  "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": "curtain",
+    "id": "curtain_0",
+    "centroid": [
+      -5.846636772155762,
+      -0.7505708336830139,
+      1.2623046934604645
+    ],
+    "distance_to_camera": 6.028261047850522,
+    "width": 0.398681640625,
+    "length": 1.571533203125,
+    "height": 0.662402331829071
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "picture frame",
+    "id": "picture frame_1",
+    "centroid": [
+      -0.3876882791519165,
+      0.869263231754303,
+      0.11249268054962158
+    ],
+    "distance_to_camera": 0.958423377766292,
+    "width": 0.25330567359924316,
+    "length": 0.056040048599243164,
+    "height": 0.28553223609924316
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_3.jpg"
+}

0265_txt_3024175d897d/tasks/000_closest_object/question_4.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Look at cabinet (blue point) and picture frame (red point). Which one appears at a shorter depth from the camera? Calculate or judge based on the 3D center points of these objects. Pick the correct answer.",
+  "choices": [
+    "A. cabinet (blue point)",
+    "B. picture frame (red point)"
+  ],
+  "answer": "B",
+  "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": "cabinet",
+    "id": "cabinet_0",
+    "centroid": [
+      -5.820024490356445,
+      0.5300443172454834,
+      0.4856811910867691
+    ],
+    "distance_to_camera": 5.86425769095872,
+    "width": 0.6241455078125,
+    "length": 1.2196044921875,
+    "height": 1.3690185248851776
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "picture frame",
+    "id": "picture frame_1",
+    "centroid": [
+      -0.3876882791519165,
+      0.869263231754303,
+      0.11249268054962158
+    ],
+    "distance_to_camera": 0.958423377766292,
+    "width": 0.25330567359924316,
+    "length": 0.056040048599243164,
+    "height": 0.28553223609924316
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_4.jpg"
+}

0265_txt_3024175d897d/tasks/000_closest_object/question_5.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Comparing curtain (blue point) and picture frame (red point), which is at a shorter distance from the camera? Calculate or judge based on the 3D center points of these objects. Pick the right option.",
+  "choices": [
+    "A. curtain (blue point)",
+    "B. picture frame (red point)"
+  ],
+  "answer": "B",
+  "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": "curtain",
+    "id": "curtain_0",
+    "centroid": [
+      -5.846636772155762,
+      -0.7505708336830139,
+      1.2623046934604645
+    ],
+    "distance_to_camera": 6.028261047850522,
+    "width": 0.398681640625,
+    "length": 1.571533203125,
+    "height": 0.662402331829071
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "picture frame",
+    "id": "picture frame_1",
+    "centroid": [
+      -0.3876882791519165,
+      0.869263231754303,
+      0.11249268054962158
+    ],
+    "distance_to_camera": 0.958423377766292,
+    "width": 0.25330567359924316,
+    "length": 0.056040048599243164,
+    "height": 0.28553223609924316
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_5.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_0.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Determine the depth of the curtain (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
+  "answer": "4.78",
+  "camera_name": "rand_006",
+  "camera_position": [
+    -0.7717796350524364,
+    -0.3885883841930743,
+    -1.2562665520633587
+  ],
+  "camera_look_at": [
+    -5.926152902886596,
+    0.9306575360491032,
+    -1.3439383626670116
+  ],
+  "object": {
+    "label": "curtain",
+    "id": "curtain_0",
+    "centroid": [
+      -5.846636772155762,
+      -0.7505708336830139,
+      1.2623046934604645
+    ],
+    "depth": 4.78,
+    "width": 0.398681640625,
+    "length": 1.571533203125,
+    "height": 0.662402331829071
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_0.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_1.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Estimate the depth in meters of the picture frame (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
+  "answer": "0.81",
+  "camera_name": "view_006",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    1.1829179332573624e-15,
+    9.659257888793945,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "picture frame",
+    "id": "picture frame_1",
+    "centroid": [
+      -0.3876882791519165,
+      0.869263231754303,
+      0.11249268054962158
+    ],
+    "depth": 0.81,
+    "width": 0.25330567359924316,
+    "length": 0.056040048599243164,
+    "height": 0.28553223609924316
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_1.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_10.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "What is the distance along the camera's viewing direction to the picture frame (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
+  "answer": "1.52",
+  "camera_name": "view_004",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    8.36516284942627,
+    4.829628944396973,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "picture frame",
+    "id": "picture frame_2",
+    "centroid": [
+      0.966732919216156,
+      0.8836467266082764,
+      -1.1057153344154358
+    ],
+    "depth": 1.52,
+    "width": 0.21679198741912842,
+    "length": 0.23020505905151367,
+    "height": 0.30516111850738525
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_10.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_11.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Measure the depth to the door (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
+  "answer": "0.98",
+  "camera_name": "view_001",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    4.829628944396973,
+    -8.36516284942627,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "door",
+    "id": "door_4",
+    "centroid": [
+      0.32283318042755127,
+      -0.8806902170181274,
+      -0.3201904296875
+    ],
+    "depth": 0.98,
+    "width": 0.52197265625,
+    "length": 0.329345703125,
+    "height": 1.196533203125
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_11.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_12.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "What is the depth of the window (red point)? Calculate or judge based on the 3D center points of these objects. The unit is meter. Answer using a single number and nothing else.",
+  "answer": "5.84",
+  "camera_name": "view_009",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -9.659257888793945,
+    1.774377005765162e-15,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "window",
+    "id": "window_0",
+    "centroid": [
+      -6.063774108886719,
+      -0.7492386102676392,
+      0.0661962628364563
+    ],
+    "depth": 5.84,
+    "width": 0.375,
+    "length": 1.479111347347498,
+    "height": 1.7718360424041748
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_12.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_13.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Determine the depth of the flowerpot (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
+  "answer": "3.97",
+  "camera_name": "rand_004",
+  "camera_position": [
+    -1.4872377453617676,
+    -0.2982243177154777,
+    -0.8729322595936888
+  ],
+  "camera_look_at": [
+    -3.22813802718576,
+    -1.321349356476857,
+    -0.9790571599893131
+  ],
+  "object": {
+    "label": "flowerpot",
+    "id": "flowerpot_0",
+    "centroid": [
+      -5.466036796569824,
+      -1.3819857835769653,
+      -0.7951464951038361
+    ],
+    "depth": 3.97,
+    "width": 0.5326461791992188,
+    "length": 0.5165917873382568,
+    "height": 0.4902734160423279
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_13.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_14.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "What is the distance along the camera's viewing direction to the oven (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
+  "answer": "3.87",
+  "camera_name": "rand_059",
+  "camera_position": [
+    -1.150774031546046,
+    0.7176865747784733,
+    -0.7998734908756902
+  ],
+  "camera_look_at": [
+    -2.60988422564084,
+    1.6033964593976362,
+    -1.8015797072480286
+  ],
+  "object": {
+    "label": "oven",
+    "id": "oven_1",
+    "centroid": [
+      -5.790541648864746,
+      1.6713143587112427,
+      -0.8463135063648224
+    ],
+    "depth": 3.87,
+    "width": 0.42954111099243164,
+    "length": 0.5798730850219727,
+    "height": 0.39075201749801636
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_14.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_15.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Measure the depth to the flowerpot (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
+  "answer": "4.96",
+  "camera_name": "rand_027",
+  "camera_position": [
+    -0.3345391906493842,
+    0.545553700400965,
+    -0.9209297547114514
+  ],
+  "camera_look_at": [
+    -5.930760658651898,
+    0.9991191278807506,
+    -1.000842438315174
+  ],
+  "object": {
+    "label": "flowerpot",
+    "id": "flowerpot_0",
+    "centroid": [
+      -5.466036796569824,
+      -1.3819857835769653,
+      -0.7951464951038361
+    ],
+    "depth": 4.96,
+    "width": 0.5326461791992188,
+    "length": 0.5165917873382568,
+    "height": 0.4902734160423279
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_15.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_16.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Estimate the depth in meters of the cabinet (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
+  "answer": "4.49",
+  "camera_name": "view_010",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -8.36516284942627,
+    -4.829628944396973,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "cabinet",
+    "id": "cabinet_0",
+    "centroid": [
+      -5.820024490356445,
+      0.5300443172454834,
+      0.4856811910867691
+    ],
+    "depth": 4.49,
+    "width": 0.6241455078125,
+    "length": 1.2196044921875,
+    "height": 1.3690185248851776
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_16.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_17.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Determine the depth of the cabinet (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
+  "answer": "5.57",
+  "camera_name": "rand_010",
+  "camera_position": [
+    -0.21500569134339653,
+    0.2756623790614493,
+    -0.7986892948264268
+  ],
+  "camera_look_at": [
+    -5.928224296868586,
+    0.9447867637257794,
+    -0.8988389300506382
+  ],
+  "object": {
+    "label": "cabinet",
+    "id": "cabinet_0",
+    "centroid": [
+      -5.820024490356445,
+      0.5300443172454834,
+      0.4856811910867691
+    ],
+    "depth": 5.57,
+    "width": 0.6241455078125,
+    "length": 1.2196044921875,
+    "height": 1.3690185248851776
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_17.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_18.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Determine the depth of the oven (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
+  "answer": "5.14",
+  "camera_name": "rand_035",
+  "camera_position": [
+    -1.0658296952870066,
+    -0.6559103764228145,
+    -0.8735694628223081
+  ],
+  "camera_look_at": [
+    -5.815582300642996,
+    0.5025929885198614,
+    -0.9478221507996205
+  ],
+  "object": {
+    "label": "oven",
+    "id": "oven_1",
+    "centroid": [
+      -5.790541648864746,
+      1.6713143587112427,
+      -0.8463135063648224
+    ],
+    "depth": 5.14,
+    "width": 0.42954111099243164,
+    "length": 0.5798730850219727,
+    "height": 0.39075201749801636
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_18.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_19.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Estimate the depth in meters of the picture frame (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
+  "answer": "1.49",
+  "camera_name": "view_005",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    4.829628944396973,
+    8.36516284942627,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "picture frame",
+    "id": "picture frame_2",
+    "centroid": [
+      0.966732919216156,
+      0.8836467266082764,
+      -1.1057153344154358
+    ],
+    "depth": 1.49,
+    "width": 0.21679198741912842,
+    "length": 0.23020505905151367,
+    "height": 0.30516111850738525
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_19.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_2.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "How far along the depth axis is the picture frame (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
+  "answer": "0.89",
+  "camera_name": "view_007",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -4.829628944396973,
+    8.36516284942627,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "picture frame",
+    "id": "picture frame_1",
+    "centroid": [
+      -0.3876882791519165,
+      0.869263231754303,
+      0.11249268054962158
+    ],
+    "depth": 0.89,
+    "width": 0.25330567359924316,
+    "length": 0.056040048599243164,
+    "height": 0.28553223609924316
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_2.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_3.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "What is the distance along the camera's viewing direction to the door (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
+  "answer": "1.91",
+  "camera_name": "rand_046",
+  "camera_position": [
+    -1.418381019418197,
+    0.21203038226712428,
+    -0.8072624282899632
+  ],
+  "camera_look_at": [
+    -0.2503285442947343,
+    -1.4351688489528454,
+    -0.898642429638801
+  ],
+  "object": {
+    "label": "door",
+    "id": "door_0",
+    "centroid": [
+      -0.3251596987247467,
+      -1.3806943893432617,
+      -0.3564453125
+    ],
+    "depth": 1.91,
+    "width": 0.622802734375,
+    "length": 0.796142578125,
+    "height": 1.55859375
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_3.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_4.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Calculate the depth of the window (red point) from the camera viewpoint. Calculate or judge based on the 3D center points of these objects. State the answer in meters as one number.",
+  "answer": "5.04",
+  "camera_name": "rand_023",
+  "camera_position": [
+    -0.8643263620824744,
+    -0.18527082631493771,
+    -0.7537179734273536
+  ],
+  "camera_look_at": [
+    -5.809922026457263,
+    0.5561991072817096,
+    -0.8553497775626205
+  ],
+  "object": {
+    "label": "window",
+    "id": "window_0",
+    "centroid": [
+      -6.063774108886719,
+      -0.7492386102676392,
+      0.0661962628364563
+    ],
+    "depth": 5.04,
+    "width": 0.375,
+    "length": 1.479111347347498,
+    "height": 1.7718360424041748
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_4.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_5.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Calculate the depth of the picture frame (red point) from the camera viewpoint. Calculate or judge based on the 3D center points of these objects. State the answer in meters as one number.",
+  "answer": "1.06",
+  "camera_name": "view_004",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    8.36516284942627,
+    4.829628944396973,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "picture frame",
+    "id": "picture frame_0",
+    "centroid": [
+      1.1617841720581055,
+      0.2393544763326645,
+      0.1051025390625
+    ],
+    "depth": 1.06,
+    "width": 0.081787109375,
+    "length": 0.4794921875,
+    "height": 0.534423828125
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_5.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_6.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Report the depth of the door (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
+  "answer": "1.4",
+  "camera_name": "view_011",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -4.829628944396973,
+    -8.36516284942627,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "door",
+    "id": "door_0",
+    "centroid": [
+      -0.3251596987247467,
+      -1.3806943893432617,
+      -0.3564453125
+    ],
+    "depth": 1.4,
+    "width": 0.622802734375,
+    "length": 0.796142578125,
+    "height": 1.55859375
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_6.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_7.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "How deep is the curtain (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as a single number.",
+  "answer": "5.07",
+  "camera_name": "rand_052",
+  "camera_position": [
+    -0.7186360848592832,
+    0.49995216547971505,
+    -0.8725910270338351
+  ],
+  "camera_look_at": [
+    -5.741658484980648,
+    0.5664631788176825,
+    -0.969937831792937
+  ],
+  "object": {
+    "label": "curtain",
+    "id": "curtain_0",
+    "centroid": [
+      -5.846636772155762,
+      -0.7505708336830139,
+      1.2623046934604645
+    ],
+    "depth": 5.07,
+    "width": 0.398681640625,
+    "length": 1.571533203125,
+    "height": 0.662402331829071
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_7.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_8.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "What depth value in meters corresponds to the picture frame (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
+  "answer": "1.06",
+  "camera_name": "view_004",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    8.36516284942627,
+    4.829628944396973,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "picture frame",
+    "id": "picture frame_0",
+    "centroid": [
+      1.1617841720581055,
+      0.2393544763326645,
+      0.1051025390625
+    ],
+    "depth": 1.06,
+    "width": 0.081787109375,
+    "length": 0.4794921875,
+    "height": 0.534423828125
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_8.jpg"
+}

0265_txt_3024175d897d/tasks/001_depth_estimation/question_9.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "What is the distance along the camera's viewing direction to the door (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
+  "answer": "1.98",
+  "camera_name": "rand_062",
+  "camera_position": [
+    -1.1430135568347572,
+    0.4732504153280578,
+    -0.7515221501462308
+  ],
+  "camera_look_at": [
+    0.3084136579607186,
+    -0.950829446145061,
+    -0.8011304122301834
+  ],
+  "object": {
+    "label": "door",
+    "id": "door_4",
+    "centroid": [
+      0.32283318042755127,
+      -0.8806902170181274,
+      -0.3201904296875
+    ],
+    "depth": 1.98,
+    "width": 0.52197265625,
+    "length": 0.329345703125,
+    "height": 1.196533203125
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_9.jpg"
+}

0265_txt_3024175d897d/tasks/002_distance_estimation/question_0.json

@@ -0,0 +1,32 @@
+{
+  "type": "distance_estimation",
+  "question": "Calculate the Euclidean distance in meters from the viewpoint to the door (red point). Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
+  "answer": "0.99",
+  "camera_name": "view_001",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    4.829628944396973,
+    -8.36516284942627,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "door",
+    "id": "door_4",
+    "centroid": [
+      0.32283318042755127,
+      -0.8806902170181274,
+      -0.3201904296875
+    ],
+    "distance": 0.9911399658977889,
+    "width": 0.52197265625,
+    "length": 0.329345703125,
+    "height": 1.196533203125
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_0.jpg"
+}

0265_txt_3024175d897d/tasks/002_distance_estimation/question_1.json

@@ -0,0 +1,32 @@
+{
+  "type": "distance_estimation",
+  "question": "How far is the curtain (red point) from the camera in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
+  "answer": "6.03",
+  "camera_name": "view_009",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -9.659257888793945,
+    1.774377005765162e-15,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "curtain",
+    "id": "curtain_0",
+    "centroid": [
+      -5.846636772155762,
+      -0.7505708336830139,
+      1.2623046934604645
+    ],
+    "distance": 6.028261047850522,
+    "width": 0.398681640625,
+    "length": 1.571533203125,
+    "height": 0.662402331829071
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_1.jpg"
+}

0265_txt_3024175d897d/tasks/002_distance_estimation/question_10.json

@@ -0,0 +1,32 @@
+{
+  "type": "distance_estimation",
+  "question": "What is the spatial distance from the observer to the oven (red point) in meters? Calculate or judge based on the 3D center points of these objects. Reply with a number.",
+  "answer": "4.74",
+  "camera_name": "rand_059",
+  "camera_position": [
+    -1.150774031546046,
+    0.7176865747784733,
+    -0.7998734908756902
+  ],
+  "camera_look_at": [
+    -2.60988422564084,
+    1.6033964593976362,
+    -1.8015797072480286
+  ],
+  "object": {
+    "label": "oven",
+    "id": "oven_1",
+    "centroid": [
+      -5.790541648864746,
+      1.6713143587112427,
+      -0.8463135063648224
+    ],
+    "distance": 4.736982812724404,
+    "width": 0.42954111099243164,
+    "length": 0.5798730850219727,
+    "height": 0.39075201749801636
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_10.jpg"
+}

0265_txt_3024175d897d/tasks/002_distance_estimation/question_11.json

@@ -0,0 +1,32 @@
+{
+  "type": "distance_estimation",
+  "question": "Measure the distance from the camera position to the window (red point). Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
+  "answer": "5.75",
+  "camera_name": "rand_053",
+  "camera_position": [
+    -0.6098295376642358,
+    -0.1849641899340318,
+    -1.6700854239828256
+  ],
+  "camera_look_at": [
+    -5.9905604720936765,
+    0.8952917397005863,
+    -1.7811279939673341
+  ],
+  "object": {
+    "label": "window",
+    "id": "window_0",
+    "centroid": [
+      -6.063774108886719,
+      -0.7492386102676392,
+      0.0661962628364563
+    ],
+    "distance": 5.751399056177029,
+    "width": 0.375,
+    "length": 1.479111347347498,
+    "height": 1.7718360424041748
+  },
+  "scene_id": "0265_txt_3024175d897d",
+  "layout_path": null,
+  "image_path": "question_image_11.jpg"
+}