Add files using upload-large-folder tool

.gitattributes

@@ -331,3 +331,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 0210_txt_bdcd5aaf85ae/meta/scene.usd filter=lfs diff=lfs merge=lfs -text
 0210_txt_bdcd5aaf85ae/meta/splat_100k.spz filter=lfs diff=lfs merge=lfs -text
 0210_txt_bdcd5aaf85ae/meta/splat_150k.spz filter=lfs diff=lfs merge=lfs -text
+0246_txt_3ffbc1556d88/meta/collider_mesh.glb filter=lfs diff=lfs merge=lfs -text
+0246_txt_3ffbc1556d88/meta/splat_500k.spz filter=lfs diff=lfs merge=lfs -text
+0246_txt_3ffbc1556d88/meta/scene.ply filter=lfs diff=lfs merge=lfs -text
+0246_txt_3ffbc1556d88/meta/splat_full_res.spz filter=lfs diff=lfs merge=lfs -text
+0246_txt_3ffbc1556d88/meta/scene.usd filter=lfs diff=lfs merge=lfs -text
+0246_txt_3ffbc1556d88/meta/splat_100k.spz filter=lfs diff=lfs merge=lfs -text
+0246_txt_3ffbc1556d88/meta/splat_150k.spz filter=lfs diff=lfs merge=lfs -text

0184_txt_34d184dd244e/meta/.cache_manifest.json

@@ -0,0 +1,7 @@
+{
+  "cache_key": "34d184dd244ece8b_marble-1.1_None",
+  "world_id": "24555b89-6754-4b3a-8385-735b119e81d2",
+  "operation_id": "239715c3-7b9d-44bf-baef-e40fa76afdc2",
+  "assets_downloaded": true,
+  "usd_converted": true
+}

0184_txt_34d184dd244e/meta/camera_filter.json

@@ -0,0 +1,16 @@
+{
+  "rejected": [
+    "rand_018",
+    "rand_019",
+    "rand_021",
+    "rand_023",
+    "rand_024",
+    "rand_032",
+    "rand_033",
+    "rand_039",
+    "rand_049",
+    "rand_051",
+    "rand_052",
+    "rand_061"
+  ]
+}

0184_txt_34d184dd244e/meta/dimension_filter.json

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

0184_txt_34d184dd244e/meta/label_filter.json

@@ -0,0 +1,6 @@
+{
+  "excluded": [
+    "chair_0",
+    "cutlery holder_0"
+  ]
+}

0184_txt_34d184dd244e/meta/visibility.json

@@ -0,0 +1,870 @@
+{
+  "rand_000": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "rand_001": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "rand_002": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "rand_003": [
+    "knife_0",
+    "napkin_0",
+    "knife_2",
+    "plate_1"
+  ],
+  "rand_004": [
+    "knife_1"
+  ],
+  "rand_005": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "rand_006": [
+    "cup_0",
+    "knife_0",
+    "plate_0"
+  ],
+  "rand_007": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "rand_008": [
+    "cup_0",
+    "plate_0",
+    "knife_1"
+  ],
+  "rand_009": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_1"
+  ],
+  "rand_010": [
+    "cup_0",
+    "knife_0",
+    "plate_0"
+  ],
+  "rand_011": [
+    "plate_0"
+  ],
+  "rand_012": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "knife_2",
+    "plate_1"
+  ],
+  "rand_013": [
+    "plate_0",
+    "knife_1"
+  ],
+  "rand_014": [
+    "cup_0",
+    "knife_0",
+    "plate_0"
+  ],
+  "rand_015": [],
+  "rand_016": [
+    "cup_0",
+    "knife_0",
+    "napkin_0"
+  ],
+  "rand_017": [
+    "cup_0",
+    "knife_0",
+    "plate_0"
+  ],
+  "rand_018": [
+    "cat tree_0",
+    "cup_0"
+  ],
+  "rand_019": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "knife_2",
+    "plate_1"
+  ],
+  "rand_020": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "rand_021": [
+    "cup_0",
+    "plate_0"
+  ],
+  "rand_022": [
+    "knife_1"
+  ],
+  "rand_023": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "rand_024": [
+    "cup_0",
+    "knife_0",
+    "plate_0",
+    "knife_1"
+  ],
+  "rand_025": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "rand_026": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "knife_2",
+    "plate_1"
+  ],
+  "rand_027": [
+    "knife_0",
+    "napkin_0",
+    "knife_2",
+    "plate_1"
+  ],
+  "rand_028": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "plate_1"
+  ],
+  "rand_029": [
+    "cup_0",
+    "knife_0",
+    "plate_0"
+  ],
+  "rand_030": [
+    "cup_0",
+    "knife_0",
+    "plate_0"
+  ],
+  "rand_031": [
+    "knife_1"
+  ],
+  "rand_032": [
+    "knife_1"
+  ],
+  "rand_033": [
+    "cup_0",
+    "plate_0"
+  ],
+  "rand_034": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "knife_1"
+  ],
+  "rand_035": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "knife_1"
+  ],
+  "rand_036": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "rand_037": [
+    "knife_1"
+  ],
+  "rand_038": [
+    "cat tree_0",
+    "plate_0",
+    "knife_1"
+  ],
+  "rand_039": [
+    "cup_0",
+    "plate_0",
+    "knife_1"
+  ],
+  "rand_040": [
+    "plate_0"
+  ],
+  "rand_041": [
+    "knife_0",
+    "napkin_0",
+    "knife_2",
+    "plate_1"
+  ],
+  "rand_042": [
+    "knife_1"
+  ],
+  "rand_043": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "rand_044": [
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "knife_2",
+    "plate_1"
+  ],
+  "rand_045": [
+    "knife_1"
+  ],
+  "rand_046": [
+    "cup_0",
+    "plate_0"
+  ],
+  "rand_047": [
+    "cat tree_0",
+    "plate_0",
+    "knife_1"
+  ],
+  "rand_048": [
+    "cup_0",
+    "knife_0",
+    "plate_0"
+  ],
+  "rand_049": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "rand_050": [
+    "cat tree_0",
+    "plate_0"
+  ],
+  "rand_051": [
+    "cat tree_0",
+    "plate_0"
+  ],
+  "rand_052": [
+    "cup_0",
+    "plate_0"
+  ],
+  "rand_053": [
+    "knife_1"
+  ],
+  "rand_054": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "rand_055": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "plate_1"
+  ],
+  "rand_056": [
+    "cat tree_0",
+    "plate_0"
+  ],
+  "rand_057": [
+    "knife_1"
+  ],
+  "rand_058": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "rand_059": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "rand_060": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "knife_2",
+    "plate_1"
+  ],
+  "rand_061": [
+    "cup_0",
+    "napkin_0"
+  ],
+  "rand_062": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "rand_063": [
+    "knife_1"
+  ],
+  "view_000_edge_left": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_1"
+  ],
+  "view_000_edge_right": [
+    "knife_0",
+    "napkin_0"
+  ],
+  "view_000": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "view_000_step_down": [
+    "cup_0",
+    "plate_0"
+  ],
+  "view_000_step_forward": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "knife_1"
+  ],
+  "view_000_step_forward_yaw_left": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "view_000_step_forward_yaw_right": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "knife_1"
+  ],
+  "view_000_step_left": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "view_000_step_pitch_down": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "plate_1"
+  ],
+  "view_000_step_pitch_up": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "plate_1"
+  ],
+  "view_000_step_right": [
+    "cup_0",
+    "knife_0",
+    "napkin_0"
+  ],
+  "view_000_step_up": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "plate_1"
+  ],
+  "view_000_step_yaw_left": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "plate_1"
+  ],
+  "view_000_step_yaw_right": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "plate_1"
+  ],
+  "view_001_edge_left": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_1"
+  ],
+  "view_001_edge_right": [],
+  "view_001": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "plate_1"
+  ],
+  "view_001_step_down": [
+    "plate_0"
+  ],
+  "view_001_step_forward": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "knife_1"
+  ],
+  "view_001_step_forward_yaw_left": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "view_001_step_forward_yaw_right": [
+    "plate_0",
+    "knife_1"
+  ],
+  "view_001_step_left": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "view_001_step_pitch_down": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "plate_1"
+  ],
+  "view_001_step_pitch_up": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "plate_1"
+  ],
+  "view_001_step_right": [],
+  "view_001_step_up": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_1"
+  ],
+  "view_001_step_yaw_left": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "plate_1"
+  ],
+  "view_001_step_yaw_right": [],
+  "view_002_edge_left": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "knife_2",
+    "plate_1"
+  ],
+  "view_002_edge_right": [],
+  "view_002": [],
+  "view_002_step_down": [
+    "knife_1"
+  ],
+  "view_002_step_forward": [
+    "plate_0",
+    "knife_1"
+  ],
+  "view_002_step_forward_yaw_left": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "knife_1"
+  ],
+  "view_002_step_forward_yaw_right": [
+    "knife_1"
+  ],
+  "view_002_step_left": [
+    "cup_0",
+    "knife_0",
+    "plate_0"
+  ],
+  "view_002_step_pitch_down": [],
+  "view_002_step_pitch_up": [
+    "knife_1"
+  ],
+  "view_002_step_right": [],
+  "view_002_step_up": [],
+  "view_002_step_yaw_left": [
+    "knife_0",
+    "plate_0"
+  ],
+  "view_002_step_yaw_right": [
+    "knife_1"
+  ],
+  "view_003_edge_left": [],
+  "view_003_edge_right": [],
+  "view_003": [
+    "knife_1"
+  ],
+  "view_003_step_down": [
+    "knife_1"
+  ],
+  "view_003_step_forward": [
+    "knife_1"
+  ],
+  "view_003_step_forward_yaw_left": [
+    "plate_0",
+    "knife_1"
+  ],
+  "view_003_step_forward_yaw_right": [
+    "knife_1"
+  ],
+  "view_003_step_left": [],
+  "view_003_step_pitch_down": [],
+  "view_003_step_pitch_up": [
+    "knife_1"
+  ],
+  "view_003_step_right": [],
+  "view_003_step_up": [],
+  "view_003_step_yaw_left": [
+    "knife_1"
+  ],
+  "view_003_step_yaw_right": [
+    "knife_1"
+  ],
+  "view_004_edge_left": [],
+  "view_004_edge_right": [],
+  "view_004": [
+    "knife_1"
+  ],
+  "view_004_step_down": [
+    "knife_1"
+  ],
+  "view_004_step_forward": [
+    "knife_1"
+  ],
+  "view_004_step_forward_yaw_left": [
+    "plate_0",
+    "knife_1"
+  ],
+  "view_004_step_forward_yaw_right": [
+    "knife_1"
+  ],
+  "view_004_step_left": [],
+  "view_004_step_pitch_down": [],
+  "view_004_step_pitch_up": [
+    "knife_1"
+  ],
+  "view_004_step_right": [],
+  "view_004_step_up": [],
+  "view_004_step_yaw_left": [
+    "knife_1"
+  ],
+  "view_004_step_yaw_right": [],
+  "view_005_edge_left": [],
+  "view_005_edge_right": [],
+  "view_005": [],
+  "view_005_step_down": [],
+  "view_005_step_forward": [
+    "knife_1"
+  ],
+  "view_005_step_forward_yaw_left": [
+    "knife_1"
+  ],
+  "view_005_step_forward_yaw_right": [
+    "cat tree_0",
+    "knife_1"
+  ],
+  "view_005_step_left": [],
+  "view_005_step_pitch_down": [],
+  "view_005_step_pitch_up": [],
+  "view_005_step_right": [],
+  "view_005_step_up": [],
+  "view_005_step_yaw_left": [],
+  "view_005_step_yaw_right": [],
+  "view_006_edge_left": [],
+  "view_006_edge_right": [
+    "cat tree_0"
+  ],
+  "view_006": [],
+  "view_006_step_down": [],
+  "view_006_step_forward": [
+    "cat tree_0",
+    "knife_1"
+  ],
+  "view_006_step_forward_yaw_left": [
+    "knife_1"
+  ],
+  "view_006_step_forward_yaw_right": [
+    "cat tree_0"
+  ],
+  "view_006_step_left": [],
+  "view_006_step_pitch_down": [],
+  "view_006_step_pitch_up": [],
+  "view_006_step_right": [
+    "cat tree_0"
+  ],
+  "view_006_step_up": [],
+  "view_006_step_yaw_left": [],
+  "view_006_step_yaw_right": [
+    "cat tree_0"
+  ],
+  "view_007_edge_left": [],
+  "view_007_edge_right": [
+    "cat tree_0"
+  ],
+  "view_007": [
+    "cat tree_0"
+  ],
+  "view_007_step_down": [
+    "cat tree_0"
+  ],
+  "view_007_step_forward": [
+    "cat tree_0",
+    "knife_1"
+  ],
+  "view_007_step_forward_yaw_left": [
+    "cat tree_0",
+    "knife_1"
+  ],
+  "view_007_step_forward_yaw_right": [
+    "cat tree_0"
+  ],
+  "view_007_step_left": [],
+  "view_007_step_pitch_down": [
+    "cat tree_0"
+  ],
+  "view_007_step_pitch_up": [
+    "cat tree_0"
+  ],
+  "view_007_step_right": [
+    "cat tree_0"
+  ],
+  "view_007_step_up": [
+    "cat tree_0"
+  ],
+  "view_007_step_yaw_left": [],
+  "view_007_step_yaw_right": [
+    "cat tree_0"
+  ],
+  "view_008_edge_left": [
+    "cat tree_0"
+  ],
+  "view_008_edge_right": [
+    "cat tree_0"
+  ],
+  "view_008": [
+    "cat tree_0"
+  ],
+  "view_008_step_down": [
+    "cat tree_0"
+  ],
+  "view_008_step_forward": [
+    "cat tree_0",
+    "knife_1"
+  ],
+  "view_008_step_forward_yaw_left": [
+    "cat tree_0",
+    "knife_1"
+  ],
+  "view_008_step_forward_yaw_right": [
+    "cat tree_0",
+    "plate_0"
+  ],
+  "view_008_step_left": [
+    "cat tree_0"
+  ],
+  "view_008_step_pitch_down": [
+    "cat tree_0"
+  ],
+  "view_008_step_pitch_up": [
+    "cat tree_0"
+  ],
+  "view_008_step_right": [
+    "cat tree_0"
+  ],
+  "view_008_step_up": [
+    "cat tree_0"
+  ],
+  "view_008_step_yaw_left": [
+    "cat tree_0"
+  ],
+  "view_008_step_yaw_right": [
+    "cat tree_0"
+  ],
+  "view_009_edge_left": [
+    "cat tree_0"
+  ],
+  "view_009_edge_right": [],
+  "view_009": [
+    "cat tree_0"
+  ],
+  "view_009_step_down": [
+    "cat tree_0"
+  ],
+  "view_009_step_forward": [
+    "cat tree_0"
+  ],
+  "view_009_step_forward_yaw_left": [
+    "cat tree_0"
+  ],
+  "view_009_step_forward_yaw_right": [
+    "cup_0",
+    "plate_0"
+  ],
+  "view_009_step_left": [
+    "cat tree_0"
+  ],
+  "view_009_step_pitch_down": [
+    "cat tree_0"
+  ],
+  "view_009_step_pitch_up": [
+    "cat tree_0"
+  ],
+  "view_009_step_right": [],
+  "view_009_step_up": [
+    "cat tree_0"
+  ],
+  "view_009_step_yaw_left": [
+    "cat tree_0"
+  ],
+  "view_009_step_yaw_right": [],
+  "view_010_edge_left": [
+    "cat tree_0"
+  ],
+  "view_010_edge_right": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "knife_2",
+    "plate_1"
+  ],
+  "view_010": [],
+  "view_010_step_down": [],
+  "view_010_step_forward": [
+    "cup_0",
+    "plate_0",
+    "knife_1"
+  ],
+  "view_010_step_forward_yaw_left": [
+    "cat tree_0"
+  ],
+  "view_010_step_forward_yaw_right": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "knife_1"
+  ],
+  "view_010_step_left": [
+    "cat tree_0"
+  ],
+  "view_010_step_pitch_down": [],
+  "view_010_step_pitch_up": [],
+  "view_010_step_right": [
+    "cup_0",
+    "knife_0",
+    "plate_0",
+    "knife_2"
+  ],
+  "view_010_step_up": [],
+  "view_010_step_yaw_left": [],
+  "view_010_step_yaw_right": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0"
+  ],
+  "view_011_edge_left": [],
+  "view_011_edge_right": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_1"
+  ],
+  "view_011": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "plate_1"
+  ],
+  "view_011_step_down": [
+    "cup_0",
+    "plate_0"
+  ],
+  "view_011_step_forward": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "knife_1"
+  ],
+  "view_011_step_forward_yaw_left": [
+    "cup_0",
+    "plate_0"
+  ],
+  "view_011_step_forward_yaw_right": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "knife_1"
+  ],
+  "view_011_step_left": [],
+  "view_011_step_pitch_down": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "plate_1"
+  ],
+  "view_011_step_pitch_up": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "plate_1"
+  ],
+  "view_011_step_right": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "plate_1"
+  ],
+  "view_011_step_up": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_1"
+  ],
+  "view_011_step_yaw_left": [],
+  "view_011_step_yaw_right": [
+    "cup_0",
+    "knife_0",
+    "napkin_0",
+    "plate_0",
+    "plate_1"
+  ]
+}

0184_txt_34d184dd244e/meta/world_full.json

@@ -0,0 +1,41 @@
+{
+  "world_id": "24555b89-6754-4b3a-8385-735b119e81d2",
+  "display_name": "A modern, minimalist dining area with a ",
+  "tags": null,
+  "assets": {
+    "mesh": {
+      "collider_mesh_url": "https://cdn.marble.worldlabs.ai/24555b89-6754-4b3a-8385-735b119e81d2/de775057.glb"
+    },
+    "imagery": {
+      "pano_url": "https://cdn.marble.worldlabs.ai/24555b89-6754-4b3a-8385-735b119e81d2/a5d23e76-5e65-4a91-b70a-c83efaea9293_panos/rgb_0.png"
+    },
+    "splats": {
+      "spz_urls": {
+        "500k": "https://cdn.marble.worldlabs.ai/24555b89-6754-4b3a-8385-735b119e81d2/248ea159-2c5c-4903-a708-b1538924758f_ceramic_500k.spz",
+        "100k": "https://cdn.marble.worldlabs.ai/24555b89-6754-4b3a-8385-735b119e81d2/c3320b74-1f13-4de6-bdda-39a8d4eba5e1_dust_100k.spz",
+        "150k": "https://cdn.marble.worldlabs.ai/24555b89-6754-4b3a-8385-735b119e81d2/000b4cc0-0776-4321-9ce6-76a77c5e8196_ceramic_150k.spz",
+        "full_res": "https://cdn.marble.worldlabs.ai/24555b89-6754-4b3a-8385-735b119e81d2/93340cc2-a88c-48a3-9417-ebdc59520838_ceramic.spz"
+      },
+      "semantics_metadata": {
+        "metric_scale_factor": 0.5054033994674683,
+        "ground_plane_offset": 0.2668306231498718
+      }
+    },
+    "thumbnail_url": "https://cdn.marble.worldlabs.ai/24555b89-6754-4b3a-8385-735b119e81d2/a60f0452-ce5d-42d7-a64b-474b8104c82d_sand_mpi/thumbnail.webp",
+    "caption": "The scene is a modern, minimalist dining area, rendered in a realistic style, conveying a calm and orderly atmosphere. The space is dominated by a long, rectangular dining table, crafted from light oak laminate with a visible wood grain and a matte finish. This table, approximately 6 feet long and 3 feet wide, serves as the central element, its clean surface showing minor scuffs. Two teal upholstered chairs, made of textured woven fabric with a matte finish and partially visible metal frames, are positioned at the table; one is tucked under the near-right corner, and an identical chair is tucked under the far-left side. A large, vertical window with a white frame is on the left wall, behind a multi-tiered cat tree with sisal-wrapped posts and carpeted platforms in dark gray and beige tones. On the table, a circular 10-inch black ceramic plate with a glossy glaze and a thin beige rim is centered in the lower third, its surface slightly scratched. A small, cylindrical metal can, about 3 inches in diameter, with a silver lid and a white label featuring blue accents, rests near the center of the table, slightly to the left of the plate. To the right of the can, near the table\u2019s edge, is a 4-inch tall glass tumbler made of smoked gray glass with a thick base, smooth and slightly reflective. A white ceramic cutlery holder with a black wireframe base, containing forks, knives, and spoons, is on the far-right edge of the table. Beside it, a black rectangular napkin holder holds white folded napkins and a wooden spatula. A small, round blue plastic cap, about 1 inch in diameter, rests near the top-right edge of the table. "
+  },
+  "created_at": "2026-04-10T15:00:52Z",
+  "updated_at": "2026-04-10T15:07:00Z",
+  "permission": {
+    "public": false,
+    "allowed_readers": [],
+    "allowed_writers": [],
+    "allow_id_access": false
+  },
+  "world_prompt": {
+    "text_prompt": "The scene is a modern, minimalist dining area, rendered in a realistic style, conveying a calm and orderly atmosphere. The space is dominated by a long, rectangular dining table, crafted from light oak laminate with a visible wood grain and a matte finish. This table, approximately 6 feet long and 3 feet wide, serves as the central element, its clean surface showing minor scuffs. Two teal upholstered chairs, made of textured woven fabric with a matte finish and partially visible metal frames, are positioned at the table; one is tucked under the near-right corner, and an identical chair is tucked under the far-left side. A large, vertical window with a white frame is on the left wall, behind a multi-tiered cat tree with sisal-wrapped posts and carpeted platforms in dark gray and beige tones. On the table, a circular 10-inch black ceramic plate with a glossy glaze and a thin beige rim is centered in the lower third, its surface slightly scratched. A small, cylindrical metal can, about 3 inches in diameter, with a silver lid and a white label featuring blue accents, rests near the center of the table, slightly to the left of the plate. To the right of the can, near the table\u2019s edge, is a 4-inch tall glass tumbler made of smoked gray glass with a thick base, smooth and slightly reflective. A white ceramic cutlery holder with a black wireframe base, containing forks, knives, and spoons, is on the far-right edge of the table. Beside it, a black rectangular napkin holder holds white folded napkins and a wooden spatula. A small, round blue plastic cap, about 1 inch in diameter, rests near the top-right edge of the table. The 360 scene is faultless.",
+    "type": "text"
+  },
+  "world_marble_url": "https://marble.worldlabs.ai/world/24555b89-6754-4b3a-8385-735b119e81d2",
+  "model": "marble-1.1"
+}

0184_txt_34d184dd244e/meta/world_metadata.json

@@ -0,0 +1,53 @@
+{
+  "operation_id": "239715c3-7b9d-44bf-baef-e40fa76afdc2",
+  "created_at": "2026-04-10T15:00:54Z",
+  "updated_at": "2026-04-10T15:07:00Z",
+  "expires_at": "2026-04-10T18:00:54Z",
+  "done": true,
+  "error": null,
+  "metadata": {
+    "progress": {
+      "status": "SUCCEEDED",
+      "description": "World generation completed successfully"
+    },
+    "world_id": "24555b89-6754-4b3a-8385-735b119e81d2"
+  },
+  "response": {
+    "world_id": "24555b89-6754-4b3a-8385-735b119e81d2",
+    "display_name": "",
+    "tags": null,
+    "assets": {
+      "mesh": {
+        "collider_mesh_url": "https://cdn.marble.worldlabs.ai/24555b89-6754-4b3a-8385-735b119e81d2/de775057.glb"
+      },
+      "imagery": {
+        "pano_url": "https://cdn.marble.worldlabs.ai/24555b89-6754-4b3a-8385-735b119e81d2/a5d23e76-5e65-4a91-b70a-c83efaea9293_panos/rgb_0.png"
+      },
+      "splats": {
+        "spz_urls": {
+          "500k": "https://cdn.marble.worldlabs.ai/24555b89-6754-4b3a-8385-735b119e81d2/248ea159-2c5c-4903-a708-b1538924758f_ceramic_500k.spz",
+          "100k": "https://cdn.marble.worldlabs.ai/24555b89-6754-4b3a-8385-735b119e81d2/c3320b74-1f13-4de6-bdda-39a8d4eba5e1_dust_100k.spz",
+          "150k": "https://cdn.marble.worldlabs.ai/24555b89-6754-4b3a-8385-735b119e81d2/000b4cc0-0776-4321-9ce6-76a77c5e8196_ceramic_150k.spz",
+          "full_res": "https://cdn.marble.worldlabs.ai/24555b89-6754-4b3a-8385-735b119e81d2/93340cc2-a88c-48a3-9417-ebdc59520838_ceramic.spz"
+        },
+        "semantics_metadata": {
+          "metric_scale_factor": 0.5054034,
+          "ground_plane_offset": 0.26683062
+        }
+      },
+      "thumbnail_url": "https://cdn.marble.worldlabs.ai/24555b89-6754-4b3a-8385-735b119e81d2/a60f0452-ce5d-42d7-a64b-474b8104c82d_sand_mpi/thumbnail.webp",
+      "caption": "The scene is a modern, minimalist dining area, rendered in a realistic style, conveying a calm and orderly atmosphere. The space is dominated by a long, rectangular dining table, crafted from light oak laminate with a visible wood grain and a matte finish. This table, approximately 6 feet long and 3 feet wide, serves as the central element, its clean surface showing minor scuffs. Two teal upholstered chairs, made of textured woven fabric with a matte finish and partially visible metal frames, are positioned at the table; one is tucked under the near-right corner, and an identical chair is tucked under the far-left side. A large, vertical window with a white frame is on the left wall, behind a multi-tiered cat tree with sisal-wrapped posts and carpeted platforms in dark gray and beige tones. On the table, a circular 10-inch black ceramic plate with a glossy glaze and a thin beige rim is centered in the lower third, its surface slightly scratched. A small, cylindrical metal can, about 3 inches in diameter, with a silver lid and a white label featuring blue accents, rests near the center of the table, slightly to the left of the plate. To the right of the can, near the table\u2019s edge, is a 4-inch tall glass tumbler made of smoked gray glass with a thick base, smooth and slightly reflective. A white ceramic cutlery holder with a black wireframe base, containing forks, knives, and spoons, is on the far-right edge of the table. Beside it, a black rectangular napkin holder holds white folded napkins and a wooden spatula. A small, round blue plastic cap, about 1 inch in diameter, rests near the top-right edge of the table. The 360 scene is faultless."
+    },
+    "created_at": null,
+    "updated_at": null,
+    "permission": {
+      "public": false,
+      "allowed_readers": [],
+      "allowed_writers": [],
+      "allow_id_access": false
+    },
+    "world_prompt": null,
+    "world_marble_url": "https://marble.worldlabs.ai/world/24555b89-6754-4b3a-8385-735b119e81d2",
+    "model": null
+  }
+}

0184_txt_34d184dd244e/tasks/000_closest_object/question_0.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Which of the following is nearer to the camera \u2014 plate (blue point) or knife (red point)? Calculate or judge based on the 3D center points of these objects. Select the correct choice.",
+  "choices": [
+    "A. plate (blue point)",
+    "B. knife (red point)"
+  ],
+  "answer": "A",
+  "camera_name": "view_011",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -4.829628944396973,
+    -8.36516284942627,
+    -2.5881905555725098
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "plate",
+    "id": "plate_0",
+    "centroid": [
+      0.047123707830905914,
+      -0.7056348323822021,
+      -0.51416015625
+    ],
+    "distance_to_camera": 0.8743579511766422,
+    "width": 0.7138671875,
+    "length": 1.02197265625,
+    "height": 0.068359375
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "knife",
+    "id": "knife_0",
+    "centroid": [
+      0.00545452069491148,
+      -2.234476089477539,
+      -0.5173022449016571
+    ],
+    "distance_to_camera": 2.293581208246863,
+    "width": 0.4425733685493469,
+    "length": 0.72802734375,
+    "height": 0.06500488519668579
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_0.jpg"
+}

0184_txt_34d184dd244e/tasks/000_closest_object/question_1.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Out of cutlery holder (blue point) and knife (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. cutlery holder (blue point)",
+    "B. knife (red point)"
+  ],
+  "answer": "A",
+  "camera_name": "view_011",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -4.829628944396973,
+    -8.36516284942627,
+    -2.5881905555725098
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "cutlery holder",
+    "id": "cutlery holder_0",
+    "centroid": [
+      -0.2352159023284912,
+      -1.6301127672195435,
+      -0.3408203125
+    ],
+    "distance_to_camera": 1.6818896039790963,
+    "width": 0.207763671875,
+    "length": 0.254150390625,
+    "height": 0.392578125
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "knife",
+    "id": "knife_0",
+    "centroid": [
+      0.00545452069491148,
+      -2.234476089477539,
+      -0.5173022449016571
+    ],
+    "distance_to_camera": 2.293581208246863,
+    "width": 0.4425733685493469,
+    "length": 0.72802734375,
+    "height": 0.06500488519668579
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_1.jpg"
+}

0184_txt_34d184dd244e/tasks/000_closest_object/question_2.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Comparing cutlery holder (blue point) and plate (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. cutlery holder (blue point)",
+    "B. plate (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "rand_034",
+  "camera_position": [
+    0.7160035744305587,
+    -0.5383082969688058,
+    -0.3150463909464656
+  ],
+  "camera_look_at": [
+    -0.3165921717991256,
+    -1.702172677184454,
+    -0.401205605842252
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "cutlery holder",
+    "id": "cutlery holder_0",
+    "centroid": [
+      -0.2352159023284912,
+      -1.6301127672195435,
+      -0.3408203125
+    ],
+    "distance_to_camera": 1.4482816677903172,
+    "width": 0.207763671875,
+    "length": 0.254150390625,
+    "height": 0.392578125
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "plate",
+    "id": "plate_0",
+    "centroid": [
+      0.047123707830905914,
+      -0.7056348323822021,
+      -0.51416015625
+    ],
+    "distance_to_camera": 0.7176661737389961,
+    "width": 0.7138671875,
+    "length": 1.02197265625,
+    "height": 0.068359375
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_2.jpg"
+}

0184_txt_34d184dd244e/tasks/000_closest_object/question_3.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Consider cutlery holder (blue point) and plate (red point). Which is located closer to the viewpoint? Calculate or judge based on the 3D center points of these objects. Select one.",
+  "choices": [
+    "A. cutlery holder (blue point)",
+    "B. plate (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "rand_011",
+  "camera_position": [
+    0.358380932607372,
+    -0.36184266586092184,
+    -0.18042717262820274
+  ],
+  "camera_look_at": [
+    -0.8381113355576113,
+    -2.4717283724431645,
+    -0.5681656448572261
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "cutlery holder",
+    "id": "cutlery holder_0",
+    "centroid": [
+      -0.2352159023284912,
+      -1.6301127672195435,
+      -0.3408203125
+    ],
+    "distance_to_camera": 1.4094652219065276,
+    "width": 0.207763671875,
+    "length": 0.254150390625,
+    "height": 0.392578125
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "plate",
+    "id": "plate_0",
+    "centroid": [
+      0.047123707830905914,
+      -0.7056348323822021,
+      -0.51416015625
+    ],
+    "distance_to_camera": 0.5713596223868554,
+    "width": 0.7138671875,
+    "length": 1.02197265625,
+    "height": 0.068359375
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_3.jpg"
+}

0184_txt_34d184dd244e/tasks/001_depth_estimation/question_0.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "What is the depth of the plate (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": "0.59",
+  "camera_name": "rand_059",
+  "camera_position": [
+    -0.28749611080515725,
+    -1.2101155570918263,
+    -0.2533839332922758
+  ],
+  "camera_look_at": [
+    1.0538318775517317,
+    2.9558702957187246,
+    -0.4061826549913362
+  ],
+  "object": {
+    "label": "plate",
+    "id": "plate_0",
+    "centroid": [
+      0.047123707830905914,
+      -0.7056348323822021,
+      -0.51416015625
+    ],
+    "depth": 0.59,
+    "width": 0.7138671875,
+    "length": 1.02197265625,
+    "height": 0.068359375
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_0.jpg"
+}

0184_txt_34d184dd244e/tasks/001_depth_estimation/question_1.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Measure the depth to the cutlery holder (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
+  "answer": "2.18",
+  "camera_name": "rand_021",
+  "camera_position": [
+    -0.16374074787925433,
+    0.6023682474253487,
+    -0.3124399650034171
+  ],
+  "camera_look_at": [
+    -0.04053358836942883,
+    -0.7535743901693448,
+    -0.5740024733169643
+  ],
+  "object": {
+    "label": "cutlery holder",
+    "id": "cutlery holder_0",
+    "centroid": [
+      -0.2352159023284912,
+      -1.6301127672195435,
+      -0.3408203125
+    ],
+    "depth": 2.18,
+    "width": 0.207763671875,
+    "length": 0.254150390625,
+    "height": 0.392578125
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_1.jpg"
+}

0184_txt_34d184dd244e/tasks/001_depth_estimation/question_2.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Measure the depth to the cutlery holder (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
+  "answer": "1.17",
+  "camera_name": "rand_035",
+  "camera_position": [
+    0.49382708641409884,
+    -0.7387881099460203,
+    -0.10843300657209287
+  ],
+  "camera_look_at": [
+    -0.1975217615253385,
+    -1.5570295652796533,
+    -0.3537438736296979
+  ],
+  "object": {
+    "label": "cutlery holder",
+    "id": "cutlery holder_0",
+    "centroid": [
+      -0.2352159023284912,
+      -1.6301127672195435,
+      -0.3408203125
+    ],
+    "depth": 1.17,
+    "width": 0.207763671875,
+    "length": 0.254150390625,
+    "height": 0.392578125
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_2.jpg"
+}

0184_txt_34d184dd244e/tasks/001_depth_estimation/question_3.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Determine the depth of the plate (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
+  "answer": "0.88",
+  "camera_name": "rand_016",
+  "camera_position": [
+    -0.7683674067442328,
+    -0.5721444245806104,
+    -0.10577897274281423
+  ],
+  "camera_look_at": [
+    1.4507215191923732,
+    -1.1052207577289823,
+    -0.47776107106915966
+  ],
+  "object": {
+    "label": "plate",
+    "id": "plate_0",
+    "centroid": [
+      0.047123707830905914,
+      -0.7056348323822021,
+      -0.51416015625
+    ],
+    "depth": 0.88,
+    "width": 0.7138671875,
+    "length": 1.02197265625,
+    "height": 0.068359375
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_3.jpg"
+}

0184_txt_34d184dd244e/tasks/001_depth_estimation/question_4.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "What is the depth of the table (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": "1.54",
+  "camera_name": "view_009",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -9.659257888793945,
+    1.774377005765162e-15,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "table",
+    "id": "table_1",
+    "centroid": [
+      -1.5488173961639404,
+      0.9869728088378906,
+      -0.18849852681159973
+    ],
+    "depth": 1.54,
+    "width": 0.7363719940185547,
+    "length": 0.4945312738418579,
+    "height": 0.08402830362319946
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_4.jpg"
+}

0184_txt_34d184dd244e/tasks/001_depth_estimation/question_5.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "How deep is the knife (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": "1.04",
+  "camera_name": "rand_028",
+  "camera_position": [
+    0.21228575749157946,
+    -1.2581817693387762,
+    -0.00651713122481179
+  ],
+  "camera_look_at": [
+    -0.6697372200703923,
+    -2.5692065667982082,
+    -0.5646085327129768
+  ],
+  "object": {
+    "label": "knife",
+    "id": "knife_0",
+    "centroid": [
+      0.00545452069491148,
+      -2.234476089477539,
+      -0.5173022449016571
+    ],
+    "depth": 1.04,
+    "width": 0.4425733685493469,
+    "length": 0.72802734375,
+    "height": 0.06500488519668579
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_5.jpg"
+}

0184_txt_34d184dd244e/tasks/001_depth_estimation/question_6.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "What depth value in meters corresponds to the table (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
+  "answer": "1.82",
+  "camera_name": "view_008",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -8.36516284942627,
+    4.829628944396973,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "table",
+    "id": "table_1",
+    "centroid": [
+      -1.5488173961639404,
+      0.9869728088378906,
+      -0.18849852681159973
+    ],
+    "depth": 1.82,
+    "width": 0.7363719940185547,
+    "length": 0.4945312738418579,
+    "height": 0.08402830362319946
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_6.jpg"
+}

0184_txt_34d184dd244e/tasks/001_depth_estimation/question_7.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "How far along the depth axis is the knife (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
+  "answer": "0.8",
+  "camera_name": "rand_036",
+  "camera_position": [
+    -0.15605738211506998,
+    -1.299804336193633,
+    -0.2532350545573985
+  ],
+  "camera_look_at": [
+    -0.8056326266446342,
+    -2.5757730883243495,
+    -0.6016565057817708
+  ],
+  "object": {
+    "label": "knife",
+    "id": "knife_0",
+    "centroid": [
+      0.00545452069491148,
+      -2.234476089477539,
+      -0.5173022449016571
+    ],
+    "depth": 0.8,
+    "width": 0.4425733685493469,
+    "length": 0.72802734375,
+    "height": 0.06500488519668579
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_7.jpg"
+}

0184_txt_34d184dd244e/tasks/002_distance_estimation/question_0.json

@@ -0,0 +1,32 @@
+{
+  "type": "distance_estimation",
+  "question": "What is the spatial distance from the observer to the plate (red point) in meters? Calculate or judge based on the 3D center points of these objects. Reply with a number.",
+  "answer": "1.72",
+  "camera_name": "rand_020",
+  "camera_position": [
+    0.0003350871188633753,
+    0.9493306140206057,
+    -0.030422000972790464
+  ],
+  "camera_look_at": [
+    -0.26711827865068216,
+    -1.5362813333413503,
+    -0.3454394875783596
+  ],
+  "object": {
+    "label": "plate",
+    "id": "plate_0",
+    "centroid": [
+      0.047123707830905914,
+      -0.7056348323822021,
+      -0.51416015625
+    ],
+    "distance": 1.7248485170258803,
+    "width": 0.7138671875,
+    "length": 1.02197265625,
+    "height": 0.068359375
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_0.jpg"
+}

0184_txt_34d184dd244e/tasks/002_distance_estimation/question_1.json

@@ -0,0 +1,32 @@
+{
+  "type": "distance_estimation",
+  "question": "Determine how many meters separate the camera from the center of the plate (red point). Calculate or judge based on the 3D center points of these objects. Provide a single number.",
+  "answer": "0.71",
+  "camera_name": "rand_000",
+  "camera_position": [
+    -0.3391027741013316,
+    -0.12022868704081469,
+    -0.4237397094975206
+  ],
+  "camera_look_at": [
+    -0.01333347261692086,
+    -2.2115885495435217,
+    -0.49624826931150884
+  ],
+  "object": {
+    "label": "plate",
+    "id": "plate_0",
+    "centroid": [
+      0.047123707830905914,
+      -0.7056348323822021,
+      -0.51416015625
+    ],
+    "distance": 0.7071400904630798,
+    "width": 0.7138671875,
+    "length": 1.02197265625,
+    "height": 0.068359375
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_1.jpg"
+}

0184_txt_34d184dd244e/tasks/002_distance_estimation/question_2.json

@@ -0,0 +1,32 @@
+{
+  "type": "distance_estimation",
+  "question": "What is the spatial distance from the observer to the knife (red point) in meters? Calculate or judge based on the 3D center points of these objects. Reply with a number.",
+  "answer": "0.98",
+  "camera_name": "rand_036",
+  "camera_position": [
+    -0.15605738211506998,
+    -1.299804336193633,
+    -0.2532350545573985
+  ],
+  "camera_look_at": [
+    -0.8056326266446342,
+    -2.5757730883243495,
+    -0.6016565057817708
+  ],
+  "object": {
+    "label": "knife",
+    "id": "knife_0",
+    "centroid": [
+      0.00545452069491148,
+      -2.234476089477539,
+      -0.5173022449016571
+    ],
+    "distance": 0.9845957861744193,
+    "width": 0.4425733685493469,
+    "length": 0.72802734375,
+    "height": 0.06500488519668579
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_2.jpg"
+}

0184_txt_34d184dd244e/tasks/002_distance_estimation/question_3.json

@@ -0,0 +1,32 @@
+{
+  "type": "distance_estimation",
+  "question": "How many meters is the cutlery holder (red point) from the image capture point? Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
+  "answer": "1.45",
+  "camera_name": "rand_034",
+  "camera_position": [
+    0.7160035744305587,
+    -0.5383082969688058,
+    -0.3150463909464656
+  ],
+  "camera_look_at": [
+    -0.3165921717991256,
+    -1.702172677184454,
+    -0.401205605842252
+  ],
+  "object": {
+    "label": "cutlery holder",
+    "id": "cutlery holder_0",
+    "centroid": [
+      -0.2352159023284912,
+      -1.6301127672195435,
+      -0.3408203125
+    ],
+    "distance": 1.4482816677903172,
+    "width": 0.207763671875,
+    "length": 0.254150390625,
+    "height": 0.392578125
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_3.jpg"
+}

0184_txt_34d184dd244e/tasks/002_distance_estimation/question_4.json

@@ -0,0 +1,32 @@
+{
+  "type": "distance_estimation",
+  "question": "Calculate the Euclidean distance in meters from the viewpoint to the cutlery holder (red point). Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
+  "answer": "1.99",
+  "camera_name": "rand_045",
+  "camera_position": [
+    -0.45564133786458527,
+    0.3386497163662792,
+    -0.47338237436068886
+  ],
+  "camera_look_at": [
+    -0.7610094241944878,
+    -2.5903499048910246,
+    -0.5715440359891412
+  ],
+  "object": {
+    "label": "cutlery holder",
+    "id": "cutlery holder_0",
+    "centroid": [
+      -0.2352159023284912,
+      -1.6301127672195435,
+      -0.3408203125
+    ],
+    "distance": 1.9854938402450535,
+    "width": 0.207763671875,
+    "length": 0.254150390625,
+    "height": 0.392578125
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_4.jpg"
+}

0184_txt_34d184dd244e/tasks/002_distance_estimation/question_5.json

@@ -0,0 +1,32 @@
+{
+  "type": "distance_estimation",
+  "question": "What is the spatial distance from the observer to the knife (red point) in meters? Calculate or judge based on the 3D center points of these objects. Reply with a number.",
+  "answer": "2.29",
+  "camera_name": "view_000",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    0.0,
+    -9.659257888793945,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "knife",
+    "id": "knife_0",
+    "centroid": [
+      0.00545452069491148,
+      -2.234476089477539,
+      -0.5173022449016571
+    ],
+    "distance": 2.293581208246863,
+    "width": 0.4425733685493469,
+    "length": 0.72802734375,
+    "height": 0.06500488519668579
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_5.jpg"
+}

0184_txt_34d184dd244e/tasks/002_distance_estimation/question_6.json

@@ -0,0 +1,32 @@
+{
+  "type": "distance_estimation",
+  "question": "What is the spatial distance from the observer to the table (red point) in meters? Calculate or judge based on the 3D center points of these objects. Reply with a number.",
+  "answer": "1.85",
+  "camera_name": "view_007",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -4.829628944396973,
+    8.36516284942627,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "table",
+    "id": "table_1",
+    "centroid": [
+      -1.5488173961639404,
+      0.9869728088378906,
+      -0.18849852681159973
+    ],
+    "distance": 1.8462075578481276,
+    "width": 0.7363719940185547,
+    "length": 0.4945312738418579,
+    "height": 0.08402830362319946
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_6.jpg"
+}

0184_txt_34d184dd244e/tasks/002_distance_estimation/question_7.json

@@ -0,0 +1,32 @@
+{
+  "type": "distance_estimation",
+  "question": "Calculate the Euclidean distance in meters from the viewpoint to the table (red point). Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
+  "answer": "1.85",
+  "camera_name": "view_007",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -4.829628944396973,
+    8.36516284942627,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "table",
+    "id": "table_1",
+    "centroid": [
+      -1.5488173961639404,
+      0.9869728088378906,
+      -0.18849852681159973
+    ],
+    "distance": 1.8462075578481276,
+    "width": 0.7363719940185547,
+    "length": 0.4945312738418579,
+    "height": 0.08402830362319946
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_7.jpg"
+}

0184_txt_34d184dd244e/tasks/003_object_distance/question_0.json

@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "How far apart are cutlery holder (blue point) and plate (red point) in meters? Calculate or judge based on the 3D center points of these objects. Answer with a single number.",
+  "answer": "0.98",
+  "camera_name": "rand_031",
+  "camera_position": [
+    -0.8859529614720845,
+    0.09966829383781381,
+    -0.4298244141846532
+  ],
+  "camera_look_at": [
+    -0.011543717934042075,
+    -0.8404513139103633,
+    -0.5170104755952408
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "cutlery holder",
+    "id": "cutlery holder_0",
+    "centroid": [
+      -0.2352159023284912,
+      -1.6301127672195435,
+      -0.3408203125
+    ],
+    "distance_to_camera": 1.850276457573911,
+    "width": 0.207763671875,
+    "length": 0.254150390625,
+    "height": 0.392578125
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "plate",
+    "id": "plate_0",
+    "centroid": [
+      0.047123707830905914,
+      -0.7056348323822021,
+      -0.51416015625
+    ],
+    "distance_to_camera": 1.2354180317961228,
+    "width": 0.7138671875,
+    "length": 1.02197265625,
+    "height": 0.068359375
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_0.jpg"
+}

0184_txt_34d184dd244e/tasks/003_object_distance/question_1.json

@@ -0,0 +1,47 @@
+{
+  "type": "object_distance",
+  "question": "What is the straight-line distance between plate (blue point) and cutlery holder (red point)? Calculate or judge based on the 3D center points of these objects. Give the answer in meters as one number.",
+  "answer": "0.98",
+  "camera_name": "rand_060",
+  "camera_position": [
+    0.2836760241222954,
+    0.42200367144351136,
+    -0.363352517367854
+  ],
+  "camera_look_at": [
+    -0.005288937595926635,
+    -0.8635029538732464,
+    -0.5440203416460668
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "plate",
+    "id": "plate_0",
+    "centroid": [
+      0.047123707830905914,
+      -0.7056348323822021,
+      -0.51416015625
+    ],
+    "distance_to_camera": 1.1620105582989868,
+    "width": 0.7138671875,
+    "length": 1.02197265625,
+    "height": 0.068359375
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "cutlery holder",
+    "id": "cutlery holder_0",
+    "centroid": [
+      -0.2352159023284912,
+      -1.6301127672195435,
+      -0.3408203125
+    ],
+    "distance_to_camera": 2.116822715633776,
+    "width": 0.207763671875,
+    "length": 0.254150390625,
+    "height": 0.392578125
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_1.jpg"
+}

0184_txt_34d184dd244e/tasks/005_camera_object_position/question_0.json

@@ -0,0 +1,39 @@
+{
+  "type": "camera_object_position",
+  "question": "How is plate (bbox) positioned in relation to the camera's viewpoint? Calculate or judge based on the 3D center points of these objects. Pick the correct response.",
+  "choices": [
+    "A. right, below, front",
+    "B. left, , ",
+    "C. right, above, behind",
+    "D. , above, behind"
+  ],
+  "answer": "A",
+  "camera_name": "rand_059",
+  "camera_position": [
+    -0.28749611080515725,
+    -1.2101155570918263,
+    -0.2533839332922758
+  ],
+  "camera_look_at": [
+    1.0538318775517317,
+    2.9558702957187246,
+    -0.4061826549913362
+  ],
+  "object": {
+    "label": "plate",
+    "id": "plate_0",
+    "centroid": [
+      0.047123707830905914,
+      -0.7056348323822021,
+      -0.51416015625
+    ],
+    "image_u": 0.659,
+    "image_v": 0.915,
+    "width": 0.7138671875,
+    "length": 1.02197265625,
+    "height": 0.068359375
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_0.jpg"
+}

0184_txt_34d184dd244e/tasks/005_camera_object_position/question_1.json

@@ -0,0 +1,39 @@
+{
+  "type": "camera_object_position",
+  "question": "In which region of the observer's field of view does knife (bbox) appear? Calculate or judge based on the 3D center points of these objects. Choose from the options.",
+  "choices": [
+    "A. left, below, front",
+    "B. , above, ",
+    "C. left, , behind",
+    "D. right, , "
+  ],
+  "answer": "A",
+  "camera_name": "rand_051",
+  "camera_position": [
+    -0.11654316056079245,
+    -1.345635646999408,
+    -0.07389304130387786
+  ],
+  "camera_look_at": [
+    -0.2052126307362396,
+    -1.5702077189560038,
+    -0.3301209952447617
+  ],
+  "object": {
+    "label": "knife",
+    "id": "knife_0",
+    "centroid": [
+      0.00545452069491148,
+      -2.234476089477539,
+      -0.5173022449016571
+    ],
+    "image_u": 0.205,
+    "image_v": 0.185,
+    "width": 0.4425733685493469,
+    "length": 0.72802734375,
+    "height": 0.06500488519668579
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_1.jpg"
+}

0184_txt_34d184dd244e/tasks/005_camera_object_position/question_2.json

@@ -0,0 +1,39 @@
+{
+  "type": "camera_object_position",
+  "question": "How is cutlery holder (bbox) positioned in relation to the camera's viewpoint? Calculate or judge based on the 3D center points of these objects. Pick the correct response.",
+  "choices": [
+    "A. left, below, front",
+    "B. , below, behind",
+    "C. left, below, ",
+    "D. left, , "
+  ],
+  "answer": "A",
+  "camera_name": "rand_013",
+  "camera_position": [
+    0.5949608379515001,
+    -0.04051760614430722,
+    -0.22074660088949516
+  ],
+  "camera_look_at": [
+    0.05955887732318321,
+    -0.6332476589882257,
+    -0.5271443715671461
+  ],
+  "object": {
+    "label": "cutlery holder",
+    "id": "cutlery holder_0",
+    "centroid": [
+      -0.2352159023284912,
+      -1.6301127672195435,
+      -0.3408203125
+    ],
+    "image_u": 0.345,
+    "image_v": 0.187,
+    "width": 0.207763671875,
+    "length": 0.254150390625,
+    "height": 0.392578125
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_2.jpg"
+}

0184_txt_34d184dd244e/tasks/005_camera_object_position/question_3.json

@@ -0,0 +1,39 @@
+{
+  "type": "camera_object_position",
+  "question": "Determine where plate (bbox) is situated with respect to the camera's line of sight. Calculate or judge based on the 3D center points of these objects. Choose the correct response.",
+  "choices": [
+    "A. right, , front",
+    "B. right, below, front",
+    "C. , above, front",
+    "D. , above, "
+  ],
+  "answer": "B",
+  "camera_name": "rand_044",
+  "camera_position": [
+    0.7567519572588816,
+    -0.3000360798293449,
+    -0.05325805823960095
+  ],
+  "camera_look_at": [
+    -0.21747259000620267,
+    -1.5865118080011664,
+    -0.34426999871490027
+  ],
+  "object": {
+    "label": "plate",
+    "id": "plate_0",
+    "centroid": [
+      0.047123707830905914,
+      -0.7056348323822021,
+      -0.51416015625
+    ],
+    "image_u": 0.725,
+    "image_v": 0.898,
+    "width": 0.7138671875,
+    "length": 1.02197265625,
+    "height": 0.068359375
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_3.jpg"
+}

0184_txt_34d184dd244e/tasks/005_camera_object_position/question_4.json

@@ -0,0 +1,39 @@
+{
+  "type": "camera_object_position",
+  "question": "What is the spatial position of cutlery holder (bbox) from the observer's main viewing angle? Calculate or judge based on the 3D center points of these objects. Select one option.",
+  "choices": [
+    "A. , , front",
+    "B. , below, ",
+    "C. right, below, front",
+    "D. right, below, behind"
+  ],
+  "answer": "C",
+  "camera_name": "rand_007",
+  "camera_position": [
+    -0.6553185884347268,
+    0.18601412022888553,
+    -0.15144281500007795
+  ],
+  "camera_look_at": [
+    -0.0009023680926487643,
+    -0.706567755863609,
+    -0.5210151121682572
+  ],
+  "object": {
+    "label": "cutlery holder",
+    "id": "cutlery holder_0",
+    "centroid": [
+      -0.2352159023284912,
+      -1.6301127672195435,
+      -0.3408203125
+    ],
+    "image_u": 0.751,
+    "image_v": 0.28,
+    "width": 0.207763671875,
+    "length": 0.254150390625,
+    "height": 0.392578125
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_4.jpg"
+}

0184_txt_34d184dd244e/tasks/005_camera_object_position/question_5.json

@@ -0,0 +1,39 @@
+{
+  "type": "camera_object_position",
+  "question": "What is the spatial position of knife (bbox) from the observer's main viewing angle? Calculate or judge based on the 3D center points of these objects. Select one option.",
+  "choices": [
+    "A. left, below, front",
+    "B. , above, front",
+    "C. right, below, front",
+    "D. left, above, behind"
+  ],
+  "answer": "A",
+  "camera_name": "rand_028",
+  "camera_position": [
+    0.21228575749157946,
+    -1.2581817693387762,
+    -0.00651713122481179
+  ],
+  "camera_look_at": [
+    -0.6697372200703923,
+    -2.5692065667982082,
+    -0.5646085327129768
+  ],
+  "object": {
+    "label": "knife",
+    "id": "knife_0",
+    "centroid": [
+      0.00545452069491148,
+      -2.234476089477539,
+      -0.5173022449016571
+    ],
+    "image_u": 0.294,
+    "image_v": 0.67,
+    "width": 0.4425733685493469,
+    "length": 0.72802734375,
+    "height": 0.06500488519668579
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_5.jpg"
+}

0184_txt_34d184dd244e/tasks/005_camera_object_position/question_6.json

@@ -0,0 +1,39 @@
+{
+  "type": "camera_object_position",
+  "question": "Where is table (bbox) located relative to the camera's center of view? Calculate or judge based on the 3D center points of these objects. Choose the correct answer.",
+  "choices": [
+    "A. left, above, ",
+    "B. right, below, behind",
+    "C. left, below, front",
+    "D. right, below, "
+  ],
+  "answer": "C",
+  "camera_name": "view_007",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -4.829628944396973,
+    8.36516284942627,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "table",
+    "id": "table_1",
+    "centroid": [
+      -1.5488173961639404,
+      0.9869728088378906,
+      -0.18849852681159973
+    ],
+    "image_u": 0.199,
+    "image_v": 0.349,
+    "width": 0.7363719940185547,
+    "length": 0.4945312738418579,
+    "height": 0.08402830362319946
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_6.jpg"
+}

0184_txt_34d184dd244e/tasks/005_camera_object_position/question_7.json

@@ -0,0 +1,39 @@
+{
+  "type": "camera_object_position",
+  "question": "Describe the position of table (bbox) relative to the camera's viewing direction. Calculate or judge based on the 3D center points of these objects. Select your answer from the choices.",
+  "choices": [
+    "A. right, above, front",
+    "B. right, below, front",
+    "C. , above, ",
+    "D. left, below, front"
+  ],
+  "answer": "D",
+  "camera_name": "view_007",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -4.829628944396973,
+    8.36516284942627,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "table",
+    "id": "table_1",
+    "centroid": [
+      -1.5488173961639404,
+      0.9869728088378906,
+      -0.18849852681159973
+    ],
+    "image_u": 0.199,
+    "image_v": 0.349,
+    "width": 0.7363719940185547,
+    "length": 0.4945312738418579,
+    "height": 0.08402830362319946
+  },
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_7.jpg"
+}

0184_txt_34d184dd244e/tasks/006_depth_ordering/question_0.json

@@ -0,0 +1,72 @@
+{
+  "type": "depth_ordering",
+  "question": "List the three marked objects in order of increasing distance from the viewpoint: blue, red, green.",
+  "choices": [
+    "A. green, blue, red",
+    "B. blue, green, red",
+    "C. red, green, blue",
+    "D. red, blue, green"
+  ],
+  "answer": "B",
+  "camera_name": "rand_037",
+  "camera_position": [
+    0.8105399245410927,
+    -0.7312223283012381,
+    -0.008828981757064591
+  ],
+  "camera_look_at": [
+    -0.22763023704411522,
+    -1.661311273828027,
+    -0.3410744401725971
+  ],
+  "objects": [
+    {
+      "circle_color": "blue",
+      "label": "plate",
+      "id": "plate_0",
+      "centroid": [
+        0.047123707830905914,
+        -0.7056348323822021,
+        -0.51416015625
+      ],
+      "distance_to_camera": 0.9158704252228648,
+      "width": 0.7138671875,
+      "length": 1.02197265625,
+      "height": 0.068359375,
+      "depth": 0.65
+    },
+    {
+      "circle_color": "red",
+      "label": "knife",
+      "id": "knife_0",
+      "centroid": [
+        0.00545452069491148,
+        -2.234476089477539,
+        -0.5173022449016571
+      ],
+      "distance_to_camera": 1.779460434319846,
+      "width": 0.4425733685493469,
+      "length": 0.72802734375,
+      "height": 0.06500488519668579,
+      "depth": 1.68
+    },
+    {
+      "circle_color": "green",
+      "label": "cutlery holder",
+      "id": "cutlery holder_0",
+      "centroid": [
+        -0.2352159023284912,
+        -1.6301127672195435,
+        -0.3408203125
+      ],
+      "distance_to_camera": 1.4183890560417112,
+      "width": 0.207763671875,
+      "length": 0.254150390625,
+      "height": 0.392578125,
+      "depth": 1.42
+    }
+  ],
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_0.jpg"
+}

0184_txt_34d184dd244e/tasks/006_depth_ordering/question_1.json

@@ -0,0 +1,72 @@
+{
+  "type": "depth_ordering",
+  "question": "Arrange blue point, red point, and green point in order from nearest to farthest from the camera.",
+  "choices": [
+    "A. blue, red, green",
+    "B. green, blue, red",
+    "C. red, green, blue",
+    "D. blue, green, red"
+  ],
+  "answer": "C",
+  "camera_name": "rand_032",
+  "camera_position": [
+    0.03919583261542614,
+    -0.12285695819585357,
+    -0.06326908341202397
+  ],
+  "camera_look_at": [
+    -0.016273940863547914,
+    -0.928467418060996,
+    -0.5276970316380599
+  ],
+  "objects": [
+    {
+      "circle_color": "blue",
+      "label": "knife",
+      "id": "knife_0",
+      "centroid": [
+        0.00545452069491148,
+        -2.234476089477539,
+        -0.5173022449016571
+      ],
+      "distance_to_camera": 2.160143500663141,
+      "width": 0.4425733685493469,
+      "length": 0.72802734375,
+      "height": 0.06500488519668579,
+      "depth": 2.05
+    },
+    {
+      "circle_color": "red",
+      "label": "plate",
+      "id": "plate_0",
+      "centroid": [
+        0.047123707830905914,
+        -0.7056348323822021,
+        -0.51416015625
+      ],
+      "distance_to_camera": 0.7368823932023161,
+      "width": 0.7138671875,
+      "length": 1.02197265625,
+      "height": 0.068359375,
+      "depth": 0.73
+    },
+    {
+      "circle_color": "green",
+      "label": "cutlery holder",
+      "id": "cutlery holder_0",
+      "centroid": [
+        -0.2352159023284912,
+        -1.6301127672195435,
+        -0.3408203125
+      ],
+      "distance_to_camera": 1.5569703140647333,
+      "width": 0.207763671875,
+      "length": 0.254150390625,
+      "height": 0.392578125,
+      "depth": 1.46
+    }
+  ],
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_1.jpg"
+}

0184_txt_34d184dd244e/tasks/006_depth_ordering/question_10.json

@@ -0,0 +1,72 @@
+{
+  "type": "depth_ordering",
+  "question": "Order the marked objects from nearest to farthest: blue point, red point, green point.",
+  "choices": [
+    "A. green, red, blue",
+    "B. green, blue, red",
+    "C. red, blue, green",
+    "D. blue, red, green"
+  ],
+  "answer": "D",
+  "camera_name": "view_011",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -4.829628944396973,
+    -8.36516284942627,
+    -2.5881905555725098
+  ],
+  "objects": [
+    {
+      "circle_color": "blue",
+      "label": "plate",
+      "id": "plate_0",
+      "centroid": [
+        0.047123707830905914,
+        -0.7056348323822021,
+        -0.51416015625
+      ],
+      "distance_to_camera": 0.8743579511766422,
+      "width": 0.7138671875,
+      "length": 1.02197265625,
+      "height": 0.068359375,
+      "depth": 0.7
+    },
+    {
+      "circle_color": "red",
+      "label": "cutlery holder",
+      "id": "cutlery holder_0",
+      "centroid": [
+        -0.2352159023284912,
+        -1.6301127672195435,
+        -0.3408203125
+      ],
+      "distance_to_camera": 1.6818896039790963,
+      "width": 0.207763671875,
+      "length": 0.254150390625,
+      "height": 0.392578125,
+      "depth": 1.57
+    },
+    {
+      "circle_color": "green",
+      "label": "knife",
+      "id": "knife_0",
+      "centroid": [
+        0.00545452069491148,
+        -2.234476089477539,
+        -0.5173022449016571
+      ],
+      "distance_to_camera": 2.293581208246863,
+      "width": 0.4425733685493469,
+      "length": 0.72802734375,
+      "height": 0.06500488519668579,
+      "depth": 2.0
+    }
+  ],
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_10.jpg"
+}

0184_txt_34d184dd244e/tasks/006_depth_ordering/question_11.json

@@ -0,0 +1,72 @@
+{
+  "type": "depth_ordering",
+  "question": "Which ordering correctly places blue point, red point, and green point from nearest to farthest?",
+  "choices": [
+    "A. blue, green, red",
+    "B. green, blue, red",
+    "C. green, red, blue",
+    "D. red, green, blue"
+  ],
+  "answer": "D",
+  "camera_name": "rand_037",
+  "camera_position": [
+    0.8105399245410927,
+    -0.7312223283012381,
+    -0.008828981757064591
+  ],
+  "camera_look_at": [
+    -0.22763023704411522,
+    -1.661311273828027,
+    -0.3410744401725971
+  ],
+  "objects": [
+    {
+      "circle_color": "blue",
+      "label": "knife",
+      "id": "knife_0",
+      "centroid": [
+        0.00545452069491148,
+        -2.234476089477539,
+        -0.5173022449016571
+      ],
+      "distance_to_camera": 1.779460434319846,
+      "width": 0.4425733685493469,
+      "length": 0.72802734375,
+      "height": 0.06500488519668579,
+      "depth": 1.68
+    },
+    {
+      "circle_color": "red",
+      "label": "plate",
+      "id": "plate_0",
+      "centroid": [
+        0.047123707830905914,
+        -0.7056348323822021,
+        -0.51416015625
+      ],
+      "distance_to_camera": 0.9158704252228648,
+      "width": 0.7138671875,
+      "length": 1.02197265625,
+      "height": 0.068359375,
+      "depth": 0.65
+    },
+    {
+      "circle_color": "green",
+      "label": "cutlery holder",
+      "id": "cutlery holder_0",
+      "centroid": [
+        -0.2352159023284912,
+        -1.6301127672195435,
+        -0.3408203125
+      ],
+      "distance_to_camera": 1.4183890560417112,
+      "width": 0.207763671875,
+      "length": 0.254150390625,
+      "height": 0.392578125,
+      "depth": 1.42
+    }
+  ],
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_11.jpg"
+}

0184_txt_34d184dd244e/tasks/006_depth_ordering/question_12.json

@@ -0,0 +1,72 @@
+{
+  "type": "depth_ordering",
+  "question": "Arrange blue point, red point, and green point in order from nearest to farthest from the camera.",
+  "choices": [
+    "A. blue, green, red",
+    "B. red, blue, green",
+    "C. green, red, blue",
+    "D. blue, red, green"
+  ],
+  "answer": "A",
+  "camera_name": "view_000",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    0.0,
+    -9.659257888793945,
+    -2.5881905555725098
+  ],
+  "objects": [
+    {
+      "circle_color": "blue",
+      "label": "plate",
+      "id": "plate_0",
+      "centroid": [
+        0.047123707830905914,
+        -0.7056348323822021,
+        -0.51416015625
+      ],
+      "distance_to_camera": 0.8743579511766422,
+      "width": 0.7138671875,
+      "length": 1.02197265625,
+      "height": 0.068359375,
+      "depth": 0.81
+    },
+    {
+      "circle_color": "red",
+      "label": "knife",
+      "id": "knife_0",
+      "centroid": [
+        0.00545452069491148,
+        -2.234476089477539,
+        -0.5173022449016571
+      ],
+      "distance_to_camera": 2.293581208246863,
+      "width": 0.4425733685493469,
+      "length": 0.72802734375,
+      "height": 0.06500488519668579,
+      "depth": 2.29
+    },
+    {
+      "circle_color": "green",
+      "label": "cutlery holder",
+      "id": "cutlery holder_0",
+      "centroid": [
+        -0.2352159023284912,
+        -1.6301127672195435,
+        -0.3408203125
+      ],
+      "distance_to_camera": 1.6818896039790963,
+      "width": 0.207763671875,
+      "length": 0.254150390625,
+      "height": 0.392578125,
+      "depth": 1.66
+    }
+  ],
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_12.jpg"
+}

0184_txt_34d184dd244e/tasks/006_depth_ordering/question_13.json

@@ -0,0 +1,72 @@
+{
+  "type": "depth_ordering",
+  "question": "Sort the marked objects from closest to most distant: blue point, red point, green point.",
+  "choices": [
+    "A. red, green, blue",
+    "B. blue, green, red",
+    "C. blue, red, green",
+    "D. green, red, blue"
+  ],
+  "answer": "D",
+  "camera_name": "view_000",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    0.0,
+    -9.659257888793945,
+    -2.5881905555725098
+  ],
+  "objects": [
+    {
+      "circle_color": "blue",
+      "label": "knife",
+      "id": "knife_0",
+      "centroid": [
+        0.00545452069491148,
+        -2.234476089477539,
+        -0.5173022449016571
+      ],
+      "distance_to_camera": 2.293581208246863,
+      "width": 0.4425733685493469,
+      "length": 0.72802734375,
+      "height": 0.06500488519668579,
+      "depth": 2.29
+    },
+    {
+      "circle_color": "red",
+      "label": "cutlery holder",
+      "id": "cutlery holder_0",
+      "centroid": [
+        -0.2352159023284912,
+        -1.6301127672195435,
+        -0.3408203125
+      ],
+      "distance_to_camera": 1.6818896039790963,
+      "width": 0.207763671875,
+      "length": 0.254150390625,
+      "height": 0.392578125,
+      "depth": 1.66
+    },
+    {
+      "circle_color": "green",
+      "label": "plate",
+      "id": "plate_0",
+      "centroid": [
+        0.047123707830905914,
+        -0.7056348323822021,
+        -0.51416015625
+      ],
+      "distance_to_camera": 0.8743579511766422,
+      "width": 0.7138671875,
+      "length": 1.02197265625,
+      "height": 0.068359375,
+      "depth": 0.81
+    }
+  ],
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_13.jpg"
+}

0184_txt_34d184dd244e/tasks/006_depth_ordering/question_14.json

@@ -0,0 +1,72 @@
+{
+  "type": "depth_ordering",
+  "question": "Which ordering correctly places blue point, red point, and green point from nearest to farthest?",
+  "choices": [
+    "A. blue, red, green",
+    "B. red, green, blue",
+    "C. blue, green, red",
+    "D. red, blue, green"
+  ],
+  "answer": "C",
+  "camera_name": "view_000",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    0.0,
+    -9.659257888793945,
+    -2.5881905555725098
+  ],
+  "objects": [
+    {
+      "circle_color": "blue",
+      "label": "plate",
+      "id": "plate_0",
+      "centroid": [
+        0.047123707830905914,
+        -0.7056348323822021,
+        -0.51416015625
+      ],
+      "distance_to_camera": 0.8743579511766422,
+      "width": 0.7138671875,
+      "length": 1.02197265625,
+      "height": 0.068359375,
+      "depth": 0.81
+    },
+    {
+      "circle_color": "red",
+      "label": "knife",
+      "id": "knife_0",
+      "centroid": [
+        0.00545452069491148,
+        -2.234476089477539,
+        -0.5173022449016571
+      ],
+      "distance_to_camera": 2.293581208246863,
+      "width": 0.4425733685493469,
+      "length": 0.72802734375,
+      "height": 0.06500488519668579,
+      "depth": 2.29
+    },
+    {
+      "circle_color": "green",
+      "label": "cutlery holder",
+      "id": "cutlery holder_0",
+      "centroid": [
+        -0.2352159023284912,
+        -1.6301127672195435,
+        -0.3408203125
+      ],
+      "distance_to_camera": 1.6818896039790963,
+      "width": 0.207763671875,
+      "length": 0.254150390625,
+      "height": 0.392578125,
+      "depth": 1.66
+    }
+  ],
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_14.jpg"
+}

0184_txt_34d184dd244e/tasks/006_depth_ordering/question_15.json

@@ -0,0 +1,72 @@
+{
+  "type": "depth_ordering",
+  "question": "Sequence the three colored points (blue, red, green) by their depth, starting with the closest.",
+  "choices": [
+    "A. green, red, blue",
+    "B. red, green, blue",
+    "C. red, blue, green",
+    "D. green, blue, red"
+  ],
+  "answer": "D",
+  "camera_name": "view_001",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    4.829628944396973,
+    -8.36516284942627,
+    -2.5881905555725098
+  ],
+  "objects": [
+    {
+      "circle_color": "blue",
+      "label": "cutlery holder",
+      "id": "cutlery holder_0",
+      "centroid": [
+        -0.2352159023284912,
+        -1.6301127672195435,
+        -0.3408203125
+      ],
+      "distance_to_camera": 1.6818896039790963,
+      "width": 0.207763671875,
+      "length": 0.254150390625,
+      "height": 0.392578125,
+      "depth": 1.34
+    },
+    {
+      "circle_color": "red",
+      "label": "knife",
+      "id": "knife_0",
+      "centroid": [
+        0.00545452069491148,
+        -2.234476089477539,
+        -0.5173022449016571
+      ],
+      "distance_to_camera": 2.293581208246863,
+      "width": 0.4425733685493469,
+      "length": 0.72802734375,
+      "height": 0.06500488519668579,
+      "depth": 2.01
+    },
+    {
+      "circle_color": "green",
+      "label": "plate",
+      "id": "plate_0",
+      "centroid": [
+        0.047123707830905914,
+        -0.7056348323822021,
+        -0.51416015625
+      ],
+      "distance_to_camera": 0.8743579511766422,
+      "width": 0.7138671875,
+      "length": 1.02197265625,
+      "height": 0.068359375,
+      "depth": 0.75
+    }
+  ],
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_15.jpg"
+}

0184_txt_34d184dd244e/tasks/006_depth_ordering/question_16.json

@@ -0,0 +1,72 @@
+{
+  "type": "depth_ordering",
+  "question": "From nearest to most distant, what is the correct ordering of blue point, red point, and green point?",
+  "choices": [
+    "A. green, blue, red",
+    "B. green, red, blue",
+    "C. red, green, blue",
+    "D. blue, red, green"
+  ],
+  "answer": "B",
+  "camera_name": "rand_032",
+  "camera_position": [
+    0.03919583261542614,
+    -0.12285695819585357,
+    -0.06326908341202397
+  ],
+  "camera_look_at": [
+    -0.016273940863547914,
+    -0.928467418060996,
+    -0.5276970316380599
+  ],
+  "objects": [
+    {
+      "circle_color": "blue",
+      "label": "knife",
+      "id": "knife_0",
+      "centroid": [
+        0.00545452069491148,
+        -2.234476089477539,
+        -0.5173022449016571
+      ],
+      "distance_to_camera": 2.160143500663141,
+      "width": 0.4425733685493469,
+      "length": 0.72802734375,
+      "height": 0.06500488519668579,
+      "depth": 2.05
+    },
+    {
+      "circle_color": "red",
+      "label": "cutlery holder",
+      "id": "cutlery holder_0",
+      "centroid": [
+        -0.2352159023284912,
+        -1.6301127672195435,
+        -0.3408203125
+      ],
+      "distance_to_camera": 1.5569703140647333,
+      "width": 0.207763671875,
+      "length": 0.254150390625,
+      "height": 0.392578125,
+      "depth": 1.46
+    },
+    {
+      "circle_color": "green",
+      "label": "plate",
+      "id": "plate_0",
+      "centroid": [
+        0.047123707830905914,
+        -0.7056348323822021,
+        -0.51416015625
+      ],
+      "distance_to_camera": 0.7368823932023161,
+      "width": 0.7138671875,
+      "length": 1.02197265625,
+      "height": 0.068359375,
+      "depth": 0.73
+    }
+  ],
+  "scene_id": "0184_txt_34d184dd244e",
+  "layout_path": null,
+  "image_path": "question_image_16.jpg"
+}