Add files using upload-large-folder tool

.gitattributes

@@ -361,3 +361,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 0212_txt_8b9056387bc8/meta/splat_150k.spz filter=lfs diff=lfs merge=lfs -text
 0237_txt_d72edde199d8/meta/collider_mesh.glb filter=lfs diff=lfs merge=lfs -text
 0237_txt_d72edde199d8/meta/splat_500k.spz filter=lfs diff=lfs merge=lfs -text
+0237_txt_d72edde199d8/meta/scene.ply filter=lfs diff=lfs merge=lfs -text
+0237_txt_d72edde199d8/meta/splat_full_res.spz filter=lfs diff=lfs merge=lfs -text
+0237_txt_d72edde199d8/meta/scene.usd filter=lfs diff=lfs merge=lfs -text
+0237_txt_d72edde199d8/meta/splat_100k.spz filter=lfs diff=lfs merge=lfs -text
+0237_txt_d72edde199d8/meta/splat_150k.spz filter=lfs diff=lfs merge=lfs -text

0192_txt_908a0a48f634/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 basket (blue point) or wire basket (red point)? Calculate or judge based on the 3D center points of these objects. Select the correct choice.",
+  "choices": [
+    "A. basket (blue point)",
+    "B. wire basket (red point)"
+  ],
+  "answer": "A",
+  "camera_name": "rand_036",
+  "camera_position": [
+    -0.589109594316723,
+    -0.10678607928319073,
+    0.20800027510380525
+  ],
+  "camera_look_at": [
+    -0.09540485785202946,
+    -2.001950248259585,
+    -0.7847685055112896
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "basket",
+    "id": "basket_0",
+    "centroid": [
+      -0.771164059638977,
+      -1.3233219385147095,
+      -0.284912109375
+    ],
+    "distance_to_camera": 1.325166383482664,
+    "width": 0.8603515625,
+    "length": 0.6101417541503906,
+    "height": 0.8642578125
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "wire basket",
+    "id": "wire basket_0",
+    "centroid": [
+      -0.09231244772672653,
+      -1.9450315237045288,
+      -0.847900390625
+    ],
+    "distance_to_camera": 2.177356180022529,
+    "width": 0.692626953125,
+    "length": 0.6298828125,
+    "height": 0.82421875
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_0.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_1.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Of wire basket (blue point) and cat tree (red point), which is positioned closer to the camera? Calculate or judge based on the 3D center points of these objects. Select your answer from the choices.",
+  "choices": [
+    "A. wire basket (blue point)",
+    "B. cat tree (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "rand_016",
+  "camera_position": [
+    0.2639761032653769,
+    0.5953773167846648,
+    -0.2753148082533998
+  ],
+  "camera_look_at": [
+    -0.05269923856883396,
+    -2.03582708494322,
+    -0.8372224751883128
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "wire basket",
+    "id": "wire basket_0",
+    "centroid": [
+      -0.09231244772672653,
+      -1.9450315237045288,
+      -0.847900390625
+    ],
+    "distance_to_camera": 2.6283973933831857,
+    "width": 0.692626953125,
+    "length": 0.6298828125,
+    "height": 0.82421875
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "cat tree",
+    "id": "cat tree_0",
+    "centroid": [
+      0.6974676251411438,
+      -1.2210900783538818,
+      -0.40345001220703125
+    ],
+    "distance_to_camera": 1.8718673370812966,
+    "width": 0.6208642721176147,
+    "length": 0.90625,
+    "height": 1.2004547119140625
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_1.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_10.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Which is closer to the camera, wire basket (blue point) or basket (red point)? Calculate or judge based on the 3D center points of these objects. Select the appropriate response from the given choices.",
+  "choices": [
+    "A. wire basket (blue point)",
+    "B. basket (red point)"
+  ],
+  "answer": "B",
+  "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": "wire basket",
+    "id": "wire basket_0",
+    "centroid": [
+      -0.09231244772672653,
+      -1.9450315237045288,
+      -0.847900390625
+    ],
+    "distance_to_camera": 2.1238183275957687,
+    "width": 0.692626953125,
+    "length": 0.6298828125,
+    "height": 0.82421875
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "basket",
+    "id": "basket_0",
+    "centroid": [
+      -0.771164059638977,
+      -1.3233219385147095,
+      -0.284912109375
+    ],
+    "distance_to_camera": 1.557899184768292,
+    "width": 0.8603515625,
+    "length": 0.6101417541503906,
+    "height": 0.8642578125
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_10.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_11.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Between litter box (blue point) and bin (red point), which one is nearer to the camera? Calculate or judge based on the 3D center points of these objects. Choose the correct answer.",
+  "choices": [
+    "A. litter box (blue point)",
+    "B. bin (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "rand_033",
+  "camera_position": [
+    -0.5074927061718496,
+    0.2230297542179147,
+    0.04666430539965072
+  ],
+  "camera_look_at": [
+    -0.08440974893559072,
+    -1.9861026993638218,
+    -0.8411348896679891
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "litter box",
+    "id": "litter box_0",
+    "centroid": [
+      0.46755412220954895,
+      -1.403351902961731,
+      -1.1731371879577637
+    ],
+    "distance_to_camera": 2.254717120958639,
+    "width": 0.8844434022903442,
+    "length": 0.8216992020606995,
+    "height": 0.41854000091552734
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "bin",
+    "id": "bin_0",
+    "centroid": [
+      -1.0594269037246704,
+      -0.9634414315223694,
+      -1.1058056950569153
+    ],
+    "distance_to_camera": 1.7437122282568844,
+    "width": 0.2624218463897705,
+    "length": 0.2772557735443115,
+    "height": 0.16760742664337158
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_11.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_12.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Of shelving unit (blue point) and litter box (red point), which is positioned closer to the camera? Calculate or judge based on the 3D center points of these objects. Select your answer from the choices.",
+  "choices": [
+    "A. shelving unit (blue point)",
+    "B. litter box (red point)"
+  ],
+  "answer": "A",
+  "camera_name": "rand_020",
+  "camera_position": [
+    -1.3078918400461106,
+    0.5588960076748956,
+    0.25214852573384205
+  ],
+  "camera_look_at": [
+    0.9524826958578116,
+    -1.4799967984918514,
+    -0.7584190189140132
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "shelving unit",
+    "id": "shelving unit_0",
+    "centroid": [
+      -0.5459901690483093,
+      -1.5461759567260742,
+      -0.5533714294433594
+    ],
+    "distance_to_camera": 2.379219310985198,
+    "width": 1.5234909057617188,
+    "length": 0.99609375,
+    "height": 1.5584030151367188
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "litter box",
+    "id": "litter box_0",
+    "centroid": [
+      0.46755412220954895,
+      -1.403351902961731,
+      -1.1731371879577637
+    ],
+    "distance_to_camera": 3.005672070160203,
+    "width": 0.8844434022903442,
+    "length": 0.8216992020606995,
+    "height": 0.41854000091552734
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_12.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_13.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Out of litter box (blue point) and crate (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. litter box (blue point)",
+    "B. crate (red point)"
+  ],
+  "answer": "A",
+  "camera_name": "rand_055",
+  "camera_position": [
+    1.3859379753662542,
+    0.7727682811145661,
+    0.06670200212514987
+  ],
+  "camera_look_at": [
+    0.849351629844997,
+    -0.7983545267574865,
+    -0.5187715199128117
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "litter box",
+    "id": "litter box_0",
+    "centroid": [
+      0.46755412220954895,
+      -1.403351902961731,
+      -1.1731371879577637
+    ],
+    "distance_to_camera": 2.667607387631971,
+    "width": 0.8844434022903442,
+    "length": 0.8216992020606995,
+    "height": 0.41854000091552734
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "crate",
+    "id": "crate_0",
+    "centroid": [
+      -0.9033794403076172,
+      -1.2298482656478882,
+      -1.0948705971240997
+    ],
+    "distance_to_camera": 3.2558713375072315,
+    "width": 0.800537109375,
+    "length": 0.8115234375,
+    "height": 0.46895021200180054
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_13.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_14.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Identify which object has a smaller distance to the camera: litter box (blue point) or shelving unit (red point). Calculate or judge based on the 3D center points of these objects. Choose the right response.",
+  "choices": [
+    "A. litter box (blue point)",
+    "B. shelving unit (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "rand_047",
+  "camera_position": [
+    -0.7650830787900798,
+    -1.0477005358302955,
+    0.28195306721618363
+  ],
+  "camera_look_at": [
+    -0.40234704736540783,
+    -1.6492472266219917,
+    -0.5714634667310798
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "litter box",
+    "id": "litter box_0",
+    "centroid": [
+      0.46755412220954895,
+      -1.403351902961731,
+      -1.1731371879577637
+    ],
+    "distance_to_camera": 1.9398891759409458,
+    "width": 0.8844434022903442,
+    "length": 0.8216992020606995,
+    "height": 0.41854000091552734
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "shelving unit",
+    "id": "shelving unit_0",
+    "centroid": [
+      -0.5459901690483093,
+      -1.5461759567260742,
+      -0.5533714294433594
+    ],
+    "distance_to_camera": 0.9971190816827538,
+    "width": 1.5234909057617188,
+    "length": 0.99609375,
+    "height": 1.5584030151367188
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_14.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_15.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Between window (blue point) and crate (red point), which one is nearer to the camera? Calculate or judge based on the 3D center points of these objects. Choose the correct answer.",
+  "choices": [
+    "A. window (blue point)",
+    "B. crate (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "rand_012",
+  "camera_position": [
+    1.0399046580996023,
+    0.6156204362569089,
+    -0.09507783390689117
+  ],
+  "camera_look_at": [
+    -0.7628474348504524,
+    -1.2976280697261449,
+    -0.27390738703401446
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "window",
+    "id": "window_7",
+    "centroid": [
+      -4.518482685089111,
+      -0.5231683254241943,
+      0.42747069243341684
+    ],
+    "distance_to_camera": 5.697856321725926,
+    "width": 1.6559619903564453,
+    "length": 0.2406298816204071,
+    "height": 0.8173730205744505
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "crate",
+    "id": "crate_0",
+    "centroid": [
+      -0.9033794403076172,
+      -1.2298482656478882,
+      -1.0948705971240997
+    ],
+    "distance_to_camera": 2.8603659531979537,
+    "width": 0.800537109375,
+    "length": 0.8115234375,
+    "height": 0.46895021200180054
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_15.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_16.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Comparing bin (blue point) and window (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. bin (blue point)",
+    "B. window (red point)"
+  ],
+  "answer": "A",
+  "camera_name": "view_009",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -9.659257888793945,
+    1.774377005765162e-15,
+    -2.5881905555725098
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "bin",
+    "id": "bin_0",
+    "centroid": [
+      -1.0594269037246704,
+      -0.9634414315223694,
+      -1.1058056950569153
+    ],
+    "distance_to_camera": 1.8092570274921753,
+    "width": 0.2624218463897705,
+    "length": 0.2772557735443115,
+    "height": 0.16760742664337158
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "window",
+    "id": "window_4",
+    "centroid": [
+      -3.514603853225708,
+      -0.709311842918396,
+      0.7684326171875
+    ],
+    "distance_to_camera": 3.6668859026114946,
+    "width": 1.4034423828125,
+    "length": 0.2530517578125,
+    "height": 0.4169921875
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_16.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_17.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Comparing box (blue point) and window (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. box (blue point)",
+    "B. window (red point)"
+  ],
+  "answer": "A",
+  "camera_name": "rand_012",
+  "camera_position": [
+    1.0399046580996023,
+    0.6156204362569089,
+    -0.09507783390689117
+  ],
+  "camera_look_at": [
+    -0.7628474348504524,
+    -1.2976280697261449,
+    -0.27390738703401446
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "box",
+    "id": "box_0",
+    "centroid": [
+      -0.14490176737308502,
+      -1.764050841331482,
+      -0.0269775390625
+    ],
+    "distance_to_camera": 2.6591801942287443,
+    "width": 0.6686670780181885,
+    "length": 0.52197265625,
+    "height": 0.373291015625
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "window",
+    "id": "window_7",
+    "centroid": [
+      -4.518482685089111,
+      -0.5231683254241943,
+      0.42747069243341684
+    ],
+    "distance_to_camera": 5.697856321725926,
+    "width": 1.6559619903564453,
+    "length": 0.2406298816204071,
+    "height": 0.8173730205744505
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_17.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_18.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Which is closer to the camera, window (blue point) or crate (red point)? Calculate or judge based on the 3D center points of these objects. Select the appropriate response from the given choices.",
+  "choices": [
+    "A. window (blue point)",
+    "B. crate (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "rand_024",
+  "camera_position": [
+    0.7982170121928966,
+    0.5624752761385249,
+    0.1195430017283623
+  ],
+  "camera_look_at": [
+    -0.7879690391459979,
+    -1.2579589968420308,
+    -0.29516708478986553
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "window",
+    "id": "window_7",
+    "centroid": [
+      -4.518482685089111,
+      -0.5231683254241943,
+      0.42747069243341684
+    ],
+    "distance_to_camera": 5.43513911168754,
+    "width": 1.6559619903564453,
+    "length": 0.2406298816204071,
+    "height": 0.8173730205744505
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "crate",
+    "id": "crate_0",
+    "centroid": [
+      -0.9033794403076172,
+      -1.2298482656478882,
+      -1.0948705971240997
+    ],
+    "distance_to_camera": 2.7536620262265146,
+    "width": 0.800537109375,
+    "length": 0.8115234375,
+    "height": 0.46895021200180054
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_18.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_19.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Of bin (blue point) and window (red point), which is positioned closer to the camera? Calculate or judge based on the 3D center points of these objects. Select your answer from the choices.",
+  "choices": [
+    "A. bin (blue point)",
+    "B. window (red point)"
+  ],
+  "answer": "A",
+  "camera_name": "view_009",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -9.659257888793945,
+    1.774377005765162e-15,
+    -2.5881905555725098
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "bin",
+    "id": "bin_0",
+    "centroid": [
+      -1.0594269037246704,
+      -0.9634414315223694,
+      -1.1058056950569153
+    ],
+    "distance_to_camera": 1.8092570274921753,
+    "width": 0.2624218463897705,
+    "length": 0.2772557735443115,
+    "height": 0.16760742664337158
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "window",
+    "id": "window_4",
+    "centroid": [
+      -3.514603853225708,
+      -0.709311842918396,
+      0.7684326171875
+    ],
+    "distance_to_camera": 3.6668859026114946,
+    "width": 1.4034423828125,
+    "length": 0.2530517578125,
+    "height": 0.4169921875
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_19.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_2.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Determine which object is closer to the camera: plant pot (blue point) or bin (red point). Calculate or judge based on the 3D center points of these objects. Choose from the given options.",
+  "choices": [
+    "A. plant pot (blue point)",
+    "B. bin (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "rand_016",
+  "camera_position": [
+    0.2639761032653769,
+    0.5953773167846648,
+    -0.2753148082533998
+  ],
+  "camera_look_at": [
+    -0.05269923856883396,
+    -2.03582708494322,
+    -0.8372224751883128
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "plant pot",
+    "id": "plant pot_0",
+    "centroid": [
+      0.09575056284666061,
+      -2.033459424972534,
+      0.3646606355905533
+    ],
+    "distance_to_camera": 2.7108395408037413,
+    "width": 0.26091308891773224,
+    "length": 0.2567627429962158,
+    "height": 0.22966310381889343
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "bin",
+    "id": "bin_1",
+    "centroid": [
+      -0.6736003756523132,
+      -1.1014963388442993,
+      -1.3262939453125
+    ],
+    "distance_to_camera": 2.205218130598601,
+    "width": 0.32759273052215576,
+    "length": 0.2863476276397705,
+    "height": 0.21214842796325684
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_2.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_20.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Consider box (blue point) and shelf (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. box (blue point)",
+    "B. shelf (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "rand_040",
+  "camera_position": [
+    -0.7459212158257353,
+    -0.47409512156236405,
+    -0.5791526016260633
+  ],
+  "camera_look_at": [
+    -0.7491612676844366,
+    -1.2795370361343945,
+    -0.6653575133211607
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "box",
+    "id": "box_0",
+    "centroid": [
+      -0.14490176737308502,
+      -1.764050841331482,
+      -0.0269775390625
+    ],
+    "distance_to_camera": 1.526468943706509,
+    "width": 0.6686670780181885,
+    "length": 0.52197265625,
+    "height": 0.373291015625
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "shelf",
+    "id": "shelf_2",
+    "centroid": [
+      -0.9808505177497864,
+      -1.2417000532150269,
+      -0.7391626536846161
+    ],
+    "distance_to_camera": 0.818542805697901,
+    "width": 0.9553174078464508,
+    "length": 0.7783838510513306,
+    "height": 0.1549854874610901
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_20.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_21.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Out of box (blue point) and bin (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. box (blue point)",
+    "B. bin (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "rand_028",
+  "camera_position": [
+    -0.1384438797120071,
+    0.7713180429949155,
+    -0.6145378522553988
+  ],
+  "camera_look_at": [
+    -0.15347466006271732,
+    -1.7369097264317006,
+    -0.7082055318636787
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "box",
+    "id": "box_0",
+    "centroid": [
+      -0.14490176737308502,
+      -1.764050841331482,
+      -0.0269775390625
+    ],
+    "distance_to_camera": 2.602568770573193,
+    "width": 0.6686670780181885,
+    "length": 0.52197265625,
+    "height": 0.373291015625
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "bin",
+    "id": "bin_1",
+    "centroid": [
+      -0.6736003756523132,
+      -1.1014963388442993,
+      -1.3262939453125
+    ],
+    "distance_to_camera": 2.0737461078865986,
+    "width": 0.32759273052215576,
+    "length": 0.2863476276397705,
+    "height": 0.21214842796325684
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_21.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_22.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Between box (blue point) and shelf (red point), which one is nearer to the camera? Calculate or judge based on the 3D center points of these objects. Choose the correct answer.",
+  "choices": [
+    "A. box (blue point)",
+    "B. shelf (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "rand_040",
+  "camera_position": [
+    -0.7459212158257353,
+    -0.47409512156236405,
+    -0.5791526016260633
+  ],
+  "camera_look_at": [
+    -0.7491612676844366,
+    -1.2795370361343945,
+    -0.6653575133211607
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "box",
+    "id": "box_0",
+    "centroid": [
+      -0.14490176737308502,
+      -1.764050841331482,
+      -0.0269775390625
+    ],
+    "distance_to_camera": 1.526468943706509,
+    "width": 0.6686670780181885,
+    "length": 0.52197265625,
+    "height": 0.373291015625
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "shelf",
+    "id": "shelf_2",
+    "centroid": [
+      -0.9808505177497864,
+      -1.2417000532150269,
+      -0.7391626536846161
+    ],
+    "distance_to_camera": 0.818542805697901,
+    "width": 0.9553174078464508,
+    "length": 0.7783838510513306,
+    "height": 0.1549854874610901
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_22.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_3.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Of box (blue point) and crate (red point), which is positioned closer to the camera? Calculate or judge based on the 3D center points of these objects. Select your answer from the choices.",
+  "choices": [
+    "A. box (blue point)",
+    "B. crate (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "rand_040",
+  "camera_position": [
+    -0.7459212158257353,
+    -0.47409512156236405,
+    -0.5791526016260633
+  ],
+  "camera_look_at": [
+    -0.7491612676844366,
+    -1.2795370361343945,
+    -0.6653575133211607
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "box",
+    "id": "box_0",
+    "centroid": [
+      -0.14490176737308502,
+      -1.764050841331482,
+      -0.0269775390625
+    ],
+    "distance_to_camera": 1.526468943706509,
+    "width": 0.6686670780181885,
+    "length": 0.52197265625,
+    "height": 0.373291015625
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "crate",
+    "id": "crate_0",
+    "centroid": [
+      -0.9033794403076172,
+      -1.2298482656478882,
+      -1.0948705971240997
+    ],
+    "distance_to_camera": 0.928396983048014,
+    "width": 0.800537109375,
+    "length": 0.8115234375,
+    "height": 0.46895021200180054
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_3.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_4.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Look at cat tree (blue point) and plant pot (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. cat tree (blue point)",
+    "B. plant pot (red point)"
+  ],
+  "answer": "A",
+  "camera_name": "view_001",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    4.829628944396973,
+    -8.36516284942627,
+    -2.5881905555725098
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "cat tree",
+    "id": "cat tree_0",
+    "centroid": [
+      0.6974676251411438,
+      -1.2210900783538818,
+      -0.40345001220703125
+    ],
+    "distance_to_camera": 1.4629743606516725,
+    "width": 0.6208642721176147,
+    "length": 0.90625,
+    "height": 1.2004547119140625
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "plant pot",
+    "id": "plant pot_0",
+    "centroid": [
+      0.09575056284666061,
+      -2.033459424972534,
+      0.3646606355905533
+    ],
+    "distance_to_camera": 2.068115756538881,
+    "width": 0.26091308891773224,
+    "length": 0.2567627429962158,
+    "height": 0.22966310381889343
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_4.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_5.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Out of window (blue point) and litter box (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. litter box (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "rand_015",
+  "camera_position": [
+    1.0435608842822064,
+    0.7718938633729767,
+    0.26505244095168323
+  ],
+  "camera_look_at": [
+    -0.7534207473166887,
+    -1.2797209792963324,
+    -0.28836179558990027
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "window",
+    "id": "window_7",
+    "centroid": [
+      -4.518482685089111,
+      -0.5231683254241943,
+      0.42747069243341684
+    ],
+    "distance_to_camera": 5.713133503503251,
+    "width": 1.6559619903564453,
+    "length": 0.2406298816204071,
+    "height": 0.8173730205744505
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "litter box",
+    "id": "litter box_0",
+    "centroid": [
+      0.46755412220954895,
+      -1.403351902961731,
+      -1.1731371879577637
+    ],
+    "distance_to_camera": 2.6705556243248685,
+    "width": 0.8844434022903442,
+    "length": 0.8216992020606995,
+    "height": 0.41854000091552734
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_5.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_6.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Look at shelving unit (blue point) and wire basket (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. shelving unit (blue point)",
+    "B. wire basket (red point)"
+  ],
+  "answer": "A",
+  "camera_name": "rand_056",
+  "camera_position": [
+    -0.4961259745536313,
+    -0.21320952212981825,
+    -0.1436149123471675
+  ],
+  "camera_look_at": [
+    -0.6773953443390037,
+    -1.0670890601507124,
+    -1.1454676481928856
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "shelving unit",
+    "id": "shelving unit_0",
+    "centroid": [
+      -0.5459901690483093,
+      -1.5461759567260742,
+      -0.5533714294433594
+    ],
+    "distance_to_camera": 1.3954161948879837,
+    "width": 1.5234909057617188,
+    "length": 0.99609375,
+    "height": 1.5584030151367188
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "wire basket",
+    "id": "wire basket_0",
+    "centroid": [
+      -0.09231244772672653,
+      -1.9450315237045288,
+      -0.847900390625
+    ],
+    "distance_to_camera": 1.9126658998632393,
+    "width": 0.692626953125,
+    "length": 0.6298828125,
+    "height": 0.82421875
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_6.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_7.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Which of the following is nearer to the camera \u2014 window (blue point) or basket (red point)? Calculate or judge based on the 3D center points of these objects. Select the correct choice.",
+  "choices": [
+    "A. window (blue point)",
+    "B. basket (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "view_010",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -8.36516284942627,
+    -4.829628944396973,
+    -2.5881905555725098
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "window",
+    "id": "window_4",
+    "centroid": [
+      -3.514603853225708,
+      -0.709311842918396,
+      0.7684326171875
+    ],
+    "distance_to_camera": 3.6668859026114946,
+    "width": 1.4034423828125,
+    "length": 0.2530517578125,
+    "height": 0.4169921875
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "basket",
+    "id": "basket_0",
+    "centroid": [
+      -0.771164059638977,
+      -1.3233219385147095,
+      -0.284912109375
+    ],
+    "distance_to_camera": 1.557899184768292,
+    "width": 0.8603515625,
+    "length": 0.6101417541503906,
+    "height": 0.8642578125
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_7.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_8.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Which of the following is nearer to the camera \u2014 litter box (blue point) or plant pot (red point)? Calculate or judge based on the 3D center points of these objects. Select the correct choice.",
+  "choices": [
+    "A. litter box (blue point)",
+    "B. plant pot (red point)"
+  ],
+  "answer": "A",
+  "camera_name": "rand_016",
+  "camera_position": [
+    0.2639761032653769,
+    0.5953773167846648,
+    -0.2753148082533998
+  ],
+  "camera_look_at": [
+    -0.05269923856883396,
+    -2.03582708494322,
+    -0.8372224751883128
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "litter box",
+    "id": "litter box_0",
+    "centroid": [
+      0.46755412220954895,
+      -1.403351902961731,
+      -1.1731371879577637
+    ],
+    "distance_to_camera": 2.2005561863227387,
+    "width": 0.8844434022903442,
+    "length": 0.8216992020606995,
+    "height": 0.41854000091552734
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "plant pot",
+    "id": "plant pot_0",
+    "centroid": [
+      0.09575056284666061,
+      -2.033459424972534,
+      0.3646606355905533
+    ],
+    "distance_to_camera": 2.7108395408037413,
+    "width": 0.26091308891773224,
+    "length": 0.2567627429962158,
+    "height": 0.22966310381889343
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_8.jpg"
+}

0192_txt_908a0a48f634/tasks/000_closest_object/question_9.json

@@ -0,0 +1,51 @@
+{
+  "type": "closest_object",
+  "question": "Consider plant pot (blue point) and cat tree (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. plant pot (blue point)",
+    "B. cat tree (red point)"
+  ],
+  "answer": "B",
+  "camera_name": "rand_050",
+  "camera_position": [
+    -0.18836311581944043,
+    0.3979936989554197,
+    0.19374193105580417
+  ],
+  "camera_look_at": [
+    -0.09044821904339762,
+    -2.000039341253543,
+    -0.8001143517275384
+  ],
+  "blue": {
+    "circle_color": "blue",
+    "label": "plant pot",
+    "id": "plant pot_0",
+    "centroid": [
+      0.09575056284666061,
+      -2.033459424972534,
+      0.3646606355905533
+    ],
+    "distance_to_camera": 2.4539555985844625,
+    "width": 0.26091308891773224,
+    "length": 0.2567627429962158,
+    "height": 0.22966310381889343
+  },
+  "red": {
+    "circle_color": "red",
+    "label": "cat tree",
+    "id": "cat tree_0",
+    "centroid": [
+      0.6974676251411438,
+      -1.2210900783538818,
+      -0.40345001220703125
+    ],
+    "distance_to_camera": 1.9397851934363701,
+    "width": 0.6208642721176147,
+    "length": 0.90625,
+    "height": 1.2004547119140625
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_9.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_0.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "What is the distance along the camera's viewing direction to the wire basket (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
+  "answer": "1.54",
+  "camera_name": "rand_063",
+  "camera_position": [
+    0.24047453660211315,
+    -0.012569045113281246,
+    -0.5002852329208884
+  ],
+  "camera_look_at": [
+    0.7473551425933527,
+    -0.8850866053249931,
+    -0.6301976615217944
+  ],
+  "object": {
+    "label": "wire basket",
+    "id": "wire basket_0",
+    "centroid": [
+      -0.09231244772672653,
+      -1.9450315237045288,
+      -0.847900390625
+    ],
+    "depth": 1.54,
+    "width": 0.692626953125,
+    "length": 0.6298828125,
+    "height": 0.82421875
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_0.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_1.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "What is the depth of the crate (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": "1.87",
+  "camera_name": "rand_060",
+  "camera_position": [
+    0.8619520411570951,
+    0.004067793520726393,
+    -0.2702556851279665
+  ],
+  "camera_look_at": [
+    -4.4923378832464955,
+    -0.45578672915104834,
+    -0.33053544265483586
+  ],
+  "object": {
+    "label": "crate",
+    "id": "crate_0",
+    "centroid": [
+      -0.9033794403076172,
+      -1.2298482656478882,
+      -1.0948705971240997
+    ],
+    "depth": 1.87,
+    "width": 0.800537109375,
+    "length": 0.8115234375,
+    "height": 0.46895021200180054
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_1.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_10.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Report the depth of the shelf (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
+  "answer": "0.78",
+  "camera_name": "rand_040",
+  "camera_position": [
+    -0.7459212158257353,
+    -0.47409512156236405,
+    -0.5791526016260633
+  ],
+  "camera_look_at": [
+    -0.7491612676844366,
+    -1.2795370361343945,
+    -0.6653575133211607
+  ],
+  "object": {
+    "label": "shelf",
+    "id": "shelf_2",
+    "centroid": [
+      -0.9808505177497864,
+      -1.2417000532150269,
+      -0.7391626536846161
+    ],
+    "depth": 0.78,
+    "width": 0.9553174078464508,
+    "length": 0.7783838510513306,
+    "height": 0.1549854874610901
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_10.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_11.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Measure the depth to the litter box (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
+  "answer": "2.05",
+  "camera_name": "rand_017",
+  "camera_position": [
+    -0.9963739948819876,
+    -0.3748534568766433,
+    0.1204156024502474
+  ],
+  "camera_look_at": [
+    -0.06579815445934223,
+    -1.9646614200965735,
+    -0.8693003352852331
+  ],
+  "object": {
+    "label": "litter box",
+    "id": "litter box_0",
+    "centroid": [
+      0.46755412220954895,
+      -1.403351902961731,
+      -1.1731371879577637
+    ],
+    "depth": 2.05,
+    "width": 0.8844434022903442,
+    "length": 0.8216992020606995,
+    "height": 0.41854000091552734
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_11.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_12.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "How deep is the litter box (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": "2.04",
+  "camera_name": "rand_011",
+  "camera_position": [
+    0.4682247882359063,
+    0.4138531938608497,
+    0.0032641082448185976
+  ],
+  "camera_look_at": [
+    -0.1736887171973609,
+    -2.0170914336694397,
+    -0.8340596055207865
+  ],
+  "object": {
+    "label": "litter box",
+    "id": "litter box_0",
+    "centroid": [
+      0.46755412220954895,
+      -1.403351902961731,
+      -1.1731371879577637
+    ],
+    "depth": 2.04,
+    "width": 0.8844434022903442,
+    "length": 0.8216992020606995,
+    "height": 0.41854000091552734
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_12.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_13.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Determine the depth of the shelving unit (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
+  "answer": "1.7",
+  "camera_name": "view_011",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -4.829628944396973,
+    -8.36516284942627,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "shelving unit",
+    "id": "shelving unit_0",
+    "centroid": [
+      -0.5459901690483093,
+      -1.5461759567260742,
+      -0.5533714294433594
+    ],
+    "depth": 1.7,
+    "width": 1.5234909057617188,
+    "length": 0.99609375,
+    "height": 1.5584030151367188
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_13.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_14.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Report the depth of the shelving unit (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
+  "answer": "1.35",
+  "camera_name": "view_010",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    -8.36516284942627,
+    -4.829628944396973,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "shelving unit",
+    "id": "shelving unit_0",
+    "centroid": [
+      -0.5459901690483093,
+      -1.5461759567260742,
+      -0.5533714294433594
+    ],
+    "depth": 1.35,
+    "width": 1.5234909057617188,
+    "length": 0.99609375,
+    "height": 1.5584030151367188
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_14.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_15.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Calculate the depth of the bin (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": "1.69",
+  "camera_name": "rand_033",
+  "camera_position": [
+    -0.5074927061718496,
+    0.2230297542179147,
+    0.04666430539965072
+  ],
+  "camera_look_at": [
+    -0.08440974893559072,
+    -1.9861026993638218,
+    -0.8411348896679891
+  ],
+  "object": {
+    "label": "bin",
+    "id": "bin_1",
+    "centroid": [
+      -0.6736003756523132,
+      -1.1014963388442993,
+      -1.3262939453125
+    ],
+    "depth": 1.69,
+    "width": 0.32759273052215576,
+    "length": 0.2863476276397705,
+    "height": 0.21214842796325684
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_15.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_16.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Determine the depth of the basket (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
+  "answer": "2.66",
+  "camera_name": "rand_012",
+  "camera_position": [
+    1.0399046580996023,
+    0.6156204362569089,
+    -0.09507783390689117
+  ],
+  "camera_look_at": [
+    -0.7628474348504524,
+    -1.2976280697261449,
+    -0.27390738703401446
+  ],
+  "object": {
+    "label": "basket",
+    "id": "basket_0",
+    "centroid": [
+      -0.771164059638977,
+      -1.3233219385147095,
+      -0.284912109375
+    ],
+    "depth": 2.66,
+    "width": 0.8603515625,
+    "length": 0.6101417541503906,
+    "height": 0.8642578125
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_16.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_17.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Report the depth of the box (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
+  "answer": "1.03",
+  "camera_name": "rand_054",
+  "camera_position": [
+    0.03866228562787022,
+    -0.717535432043549,
+    -0.3104427011017683
+  ],
+  "camera_look_at": [
+    -0.18263768437716577,
+    -1.5253641229115447,
+    -0.37750247662386877
+  ],
+  "object": {
+    "label": "box",
+    "id": "box_0",
+    "centroid": [
+      -0.14490176737308502,
+      -1.764050841331482,
+      -0.0269775390625
+    ],
+    "depth": 1.03,
+    "width": 0.6686670780181885,
+    "length": 0.52197265625,
+    "height": 0.373291015625
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_17.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_18.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "What is the distance along the camera's viewing direction to the plant pot (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
+  "answer": "2.49",
+  "camera_name": "rand_008",
+  "camera_position": [
+    -0.054467536163157804,
+    0.641650768061905,
+    -0.3030446260729567
+  ],
+  "camera_look_at": [
+    -0.13630757265868493,
+    -2.010073106531626,
+    -0.8286792003892813
+  ],
+  "object": {
+    "label": "plant pot",
+    "id": "plant pot_0",
+    "centroid": [
+      0.09575056284666061,
+      -2.033459424972534,
+      0.3646606355905533
+    ],
+    "depth": 2.49,
+    "width": 0.26091308891773224,
+    "length": 0.2567627429962158,
+    "height": 0.22966310381889343
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_18.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_19.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Estimate the depth in meters of the bin (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
+  "answer": "1.9",
+  "camera_name": "rand_028",
+  "camera_position": [
+    -0.1384438797120071,
+    0.7713180429949155,
+    -0.6145378522553988
+  ],
+  "camera_look_at": [
+    -0.15347466006271732,
+    -1.7369097264317006,
+    -0.7082055318636787
+  ],
+  "object": {
+    "label": "bin",
+    "id": "bin_1",
+    "centroid": [
+      -0.6736003756523132,
+      -1.1014963388442993,
+      -1.3262939453125
+    ],
+    "depth": 1.9,
+    "width": 0.32759273052215576,
+    "length": 0.2863476276397705,
+    "height": 0.21214842796325684
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_19.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_2.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "What depth value in meters corresponds to the wire basket (red point)? Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
+  "answer": "2.1",
+  "camera_name": "view_000",
+  "camera_position": [
+    -0.0,
+    -0.0,
+    0.0
+  ],
+  "camera_look_at": [
+    0.0,
+    -9.659257888793945,
+    -2.5881905555725098
+  ],
+  "object": {
+    "label": "wire basket",
+    "id": "wire basket_0",
+    "centroid": [
+      -0.09231244772672653,
+      -1.9450315237045288,
+      -0.847900390625
+    ],
+    "depth": 2.1,
+    "width": 0.692626953125,
+    "length": 0.6298828125,
+    "height": 0.82421875
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_2.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_20.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Report the depth of the shelf (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
+  "answer": "1.07",
+  "camera_name": "rand_017",
+  "camera_position": [
+    -0.9963739948819876,
+    -0.3748534568766433,
+    0.1204156024502474
+  ],
+  "camera_look_at": [
+    -0.06579815445934223,
+    -1.9646614200965735,
+    -0.8693003352852331
+  ],
+  "object": {
+    "label": "shelf",
+    "id": "shelf_2",
+    "centroid": [
+      -0.9808505177497864,
+      -1.2417000532150269,
+      -0.7391626536846161
+    ],
+    "depth": 1.07,
+    "width": 0.9553174078464508,
+    "length": 0.7783838510513306,
+    "height": 0.1549854874610901
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_20.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_21.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "What is the distance along the camera's viewing direction to the shelf (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
+  "answer": "2.06",
+  "camera_name": "rand_044",
+  "camera_position": [
+    0.2986341638069355,
+    0.2891930868416752,
+    -0.5881081403435977
+  ],
+  "camera_look_at": [
+    -0.12153189539623677,
+    -1.3991334065890182,
+    -0.7034680978579861
+  ],
+  "object": {
+    "label": "shelf",
+    "id": "shelf_0",
+    "centroid": [
+      -0.46575334668159485,
+      -1.6523606777191162,
+      -0.5778467059135437
+    ],
+    "depth": 2.06,
+    "width": 0.854116290807724,
+    "length": 0.755307674407959,
+    "height": 1.6434863805770874
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_21.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_22.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "How deep is the window (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": "3.2",
+  "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_4",
+    "centroid": [
+      -3.514603853225708,
+      -0.709311842918396,
+      0.7684326171875
+    ],
+    "depth": 3.2,
+    "width": 1.4034423828125,
+    "length": 0.2530517578125,
+    "height": 0.4169921875
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_22.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_23.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Report the depth of the window (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
+  "answer": "4.59",
+  "camera_name": "rand_012",
+  "camera_position": [
+    1.0399046580996023,
+    0.6156204362569089,
+    -0.09507783390689117
+  ],
+  "camera_look_at": [
+    -0.7628474348504524,
+    -1.2976280697261449,
+    -0.27390738703401446
+  ],
+  "object": {
+    "label": "window",
+    "id": "window_7",
+    "centroid": [
+      -4.518482685089111,
+      -0.5231683254241943,
+      0.42747069243341684
+    ],
+    "depth": 4.59,
+    "width": 1.6559619903564453,
+    "length": 0.2406298816204071,
+    "height": 0.8173730205744505
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_23.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_24.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Estimate the depth in meters of the window (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
+  "answer": "3.31",
+  "camera_name": "rand_013",
+  "camera_position": [
+    0.04438781684212517,
+    -0.028359382446881548,
+    -0.19270619273429945
+  ],
+  "camera_look_at": [
+    -9.396151135437204,
+    2.0845360917905293,
+    -0.3052207453449705
+  ],
+  "object": {
+    "label": "window",
+    "id": "window_4",
+    "centroid": [
+      -3.514603853225708,
+      -0.709311842918396,
+      0.7684326171875
+    ],
+    "depth": 3.31,
+    "width": 1.4034423828125,
+    "length": 0.2530517578125,
+    "height": 0.4169921875
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_24.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_25.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "How deep is the bin (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": "1.41",
+  "camera_name": "rand_033",
+  "camera_position": [
+    -0.5074927061718496,
+    0.2230297542179147,
+    0.04666430539965072
+  ],
+  "camera_look_at": [
+    -0.08440974893559072,
+    -1.9861026993638218,
+    -0.8411348896679891
+  ],
+  "object": {
+    "label": "bin",
+    "id": "bin_0",
+    "centroid": [
+      -1.0594269037246704,
+      -0.9634414315223694,
+      -1.1058056950569153
+    ],
+    "depth": 1.41,
+    "width": 0.2624218463897705,
+    "length": 0.2772557735443115,
+    "height": 0.16760742664337158
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_25.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_26.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Report the depth of the bin (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
+  "answer": "1.41",
+  "camera_name": "rand_033",
+  "camera_position": [
+    -0.5074927061718496,
+    0.2230297542179147,
+    0.04666430539965072
+  ],
+  "camera_look_at": [
+    -0.08440974893559072,
+    -1.9861026993638218,
+    -0.8411348896679891
+  ],
+  "object": {
+    "label": "bin",
+    "id": "bin_0",
+    "centroid": [
+      -1.0594269037246704,
+      -0.9634414315223694,
+      -1.1058056950569153
+    ],
+    "depth": 1.41,
+    "width": 0.2624218463897705,
+    "length": 0.2772557735443115,
+    "height": 0.16760742664337158
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_26.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_3.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Determine the depth of the basket (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
+  "answer": "0.89",
+  "camera_name": "rand_046",
+  "camera_position": [
+    0.1527471040371049,
+    -0.7592347060876545,
+    -0.6652826531661012
+  ],
+  "camera_look_at": [
+    -4.539956671251581,
+    -0.5291608298591457,
+    -0.7388421447589271
+  ],
+  "object": {
+    "label": "basket",
+    "id": "basket_0",
+    "centroid": [
+      -0.771164059638977,
+      -1.3233219385147095,
+      -0.284912109375
+    ],
+    "depth": 0.89,
+    "width": 0.8603515625,
+    "length": 0.6101417541503906,
+    "height": 0.8642578125
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_3.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_4.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "How far along the depth axis is the box (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
+  "answer": "2.16",
+  "camera_name": "rand_011",
+  "camera_position": [
+    0.4682247882359063,
+    0.4138531938608497,
+    0.0032641082448185976
+  ],
+  "camera_look_at": [
+    -0.1736887171973609,
+    -2.0170914336694397,
+    -0.8340596055207865
+  ],
+  "object": {
+    "label": "box",
+    "id": "box_0",
+    "centroid": [
+      -0.14490176737308502,
+      -1.764050841331482,
+      -0.0269775390625
+    ],
+    "depth": 2.16,
+    "width": 0.6686670780181885,
+    "length": 0.52197265625,
+    "height": 0.373291015625
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_4.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_5.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "How deep is the cat tree (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": "1.25",
+  "camera_name": "rand_063",
+  "camera_position": [
+    0.24047453660211315,
+    -0.012569045113281246,
+    -0.5002852329208884
+  ],
+  "camera_look_at": [
+    0.7473551425933527,
+    -0.8850866053249931,
+    -0.6301976615217944
+  ],
+  "object": {
+    "label": "cat tree",
+    "id": "cat tree_0",
+    "centroid": [
+      0.6974676251411438,
+      -1.2210900783538818,
+      -0.40345001220703125
+    ],
+    "depth": 1.25,
+    "width": 0.6208642721176147,
+    "length": 0.90625,
+    "height": 1.2004547119140625
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_5.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_6.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "How far along the depth axis is the plant pot (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
+  "answer": "2.19",
+  "camera_name": "rand_050",
+  "camera_position": [
+    -0.18836311581944043,
+    0.3979936989554197,
+    0.19374193105580417
+  ],
+  "camera_look_at": [
+    -0.09044821904339762,
+    -2.000039341253543,
+    -0.8001143517275384
+  ],
+  "object": {
+    "label": "plant pot",
+    "id": "plant pot_0",
+    "centroid": [
+      0.09575056284666061,
+      -2.033459424972534,
+      0.3646606355905533
+    ],
+    "depth": 2.19,
+    "width": 0.26091308891773224,
+    "length": 0.2567627429962158,
+    "height": 0.22966310381889343
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_6.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_7.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Measure the depth to the window (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
+  "answer": "4.05",
+  "camera_name": "rand_062",
+  "camera_position": [
+    -0.14408803960047967,
+    -0.267884391091618,
+    0.2984080250810859
+  ],
+  "camera_look_at": [
+    -1.7440934647866844,
+    0.10871969306258533,
+    -0.09800349363874505
+  ],
+  "object": {
+    "label": "window",
+    "id": "window_7",
+    "centroid": [
+      -4.518482685089111,
+      -0.5231683254241943,
+      0.42747069243341684
+    ],
+    "depth": 4.05,
+    "width": 1.6559619903564453,
+    "length": 0.2406298816204071,
+    "height": 0.8173730205744505
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_7.jpg"
+}

0192_txt_908a0a48f634/tasks/001_depth_estimation/question_8.json

@@ -0,0 +1,32 @@
+{
+  "type": "depth_estimation",
+  "question": "Calculate the depth of the shelf (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": "1.05",
+  "camera_name": "rand_054",
+  "camera_position": [
+    0.03866228562787022,
+    -0.717535432043549,
+    -0.3104427011017683
+  ],
+  "camera_look_at": [
+    -0.18263768437716577,
+    -1.5253641229115447,
+    -0.37750247662386877
+  ],
+  "object": {
+    "label": "shelf",
+    "id": "shelf_0",
+    "centroid": [
+      -0.46575334668159485,
+      -1.6523606777191162,
+      -0.5778467059135437
+    ],
+    "depth": 1.05,
+    "width": 0.854116290807724,
+    "length": 0.755307674407959,
+    "height": 1.6434863805770874
+  },
+  "scene_id": "0192_txt_908a0a48f634",
+  "layout_path": null,
+  "image_path": "question_image_8.jpg"
+}