Ji-Pengliang commited on
Commit
8eeda15
·
verified ·
1 Parent(s): b754df6

Add files using upload-large-folder tool

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +7 -0
  2. 0211_txt_99bc40460ea4/meta/.cache_manifest.json +7 -0
  3. 0211_txt_99bc40460ea4/meta/camera_filter.json +8 -0
  4. 0211_txt_99bc40460ea4/meta/dimension_filter.json +3 -0
  5. 0211_txt_99bc40460ea4/meta/label_filter.json +5 -0
  6. 0211_txt_99bc40460ea4/meta/scene.json +0 -0
  7. 0211_txt_99bc40460ea4/meta/visibility.json +874 -0
  8. 0211_txt_99bc40460ea4/meta/world_full.json +41 -0
  9. 0211_txt_99bc40460ea4/meta/world_metadata.json +53 -0
  10. 0211_txt_99bc40460ea4/tasks/000_closest_object/question_0.json +51 -0
  11. 0211_txt_99bc40460ea4/tasks/000_closest_object/question_1.json +51 -0
  12. 0211_txt_99bc40460ea4/tasks/000_closest_object/question_2.json +51 -0
  13. 0211_txt_99bc40460ea4/tasks/000_closest_object/question_3.json +51 -0
  14. 0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_0.json +32 -0
  15. 0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_1.json +32 -0
  16. 0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_2.json +32 -0
  17. 0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_3.json +32 -0
  18. 0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_4.json +32 -0
  19. 0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_5.json +32 -0
  20. 0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_6.json +32 -0
  21. 0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_7.json +32 -0
  22. 0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_8.json +32 -0
  23. 0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_9.json +32 -0
  24. 0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_0.json +32 -0
  25. 0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_1.json +32 -0
  26. 0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_2.json +32 -0
  27. 0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_3.json +32 -0
  28. 0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_4.json +32 -0
  29. 0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_5.json +32 -0
  30. 0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_6.json +32 -0
  31. 0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_7.json +32 -0
  32. 0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_8.json +32 -0
  33. 0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_9.json +32 -0
  34. 0211_txt_99bc40460ea4/tasks/003_object_distance/question_0.json +47 -0
  35. 0211_txt_99bc40460ea4/tasks/003_object_distance/question_1.json +47 -0
  36. 0211_txt_99bc40460ea4/tasks/003_object_distance/question_2.json +47 -0
  37. 0211_txt_99bc40460ea4/tasks/003_object_distance/question_3.json +47 -0
  38. 0211_txt_99bc40460ea4/tasks/003_object_distance/question_4.json +47 -0
  39. 0211_txt_99bc40460ea4/tasks/004_relative_direction/question_image_0.jpg +3 -0
  40. 0211_txt_99bc40460ea4/tasks/004_relative_direction/question_image_1.jpg +3 -0
  41. 0211_txt_99bc40460ea4/tasks/004_relative_direction/question_image_2.jpg +3 -0
  42. 0211_txt_99bc40460ea4/tasks/004_relative_direction/question_image_3.jpg +3 -0
  43. 0211_txt_99bc40460ea4/tasks/004_relative_direction/question_image_4.jpg +3 -0
  44. 0211_txt_99bc40460ea4/tasks/004_relative_direction/question_image_5.jpg +3 -0
  45. 0211_txt_99bc40460ea4/tasks/005_camera_object_position/question_0.json +39 -0
  46. 0211_txt_99bc40460ea4/tasks/005_camera_object_position/question_1.json +39 -0
  47. 0211_txt_99bc40460ea4/tasks/005_camera_object_position/question_10.json +39 -0
  48. 0211_txt_99bc40460ea4/tasks/005_camera_object_position/question_11.json +39 -0
  49. 0211_txt_99bc40460ea4/tasks/005_camera_object_position/question_2.json +39 -0
  50. 0211_txt_99bc40460ea4/tasks/005_camera_object_position/question_3.json +39 -0
.gitattributes CHANGED
@@ -296,3 +296,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
296
  0235_txt_f44c88fde8e6/meta/scene.usd filter=lfs diff=lfs merge=lfs -text
297
  0235_txt_f44c88fde8e6/meta/splat_100k.spz filter=lfs diff=lfs merge=lfs -text
298
  0235_txt_f44c88fde8e6/meta/splat_150k.spz filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
296
  0235_txt_f44c88fde8e6/meta/scene.usd filter=lfs diff=lfs merge=lfs -text
297
  0235_txt_f44c88fde8e6/meta/splat_100k.spz filter=lfs diff=lfs merge=lfs -text
298
  0235_txt_f44c88fde8e6/meta/splat_150k.spz filter=lfs diff=lfs merge=lfs -text
299
+ 0224_txt_b4ff8b53cd9f/meta/collider_mesh.glb filter=lfs diff=lfs merge=lfs -text
300
+ 0224_txt_b4ff8b53cd9f/meta/splat_500k.spz filter=lfs diff=lfs merge=lfs -text
301
+ 0224_txt_b4ff8b53cd9f/meta/scene.ply filter=lfs diff=lfs merge=lfs -text
302
+ 0224_txt_b4ff8b53cd9f/meta/splat_full_res.spz filter=lfs diff=lfs merge=lfs -text
303
+ 0224_txt_b4ff8b53cd9f/meta/scene.usd filter=lfs diff=lfs merge=lfs -text
304
+ 0224_txt_b4ff8b53cd9f/meta/splat_100k.spz filter=lfs diff=lfs merge=lfs -text
305
+ 0224_txt_b4ff8b53cd9f/meta/splat_150k.spz filter=lfs diff=lfs merge=lfs -text
0211_txt_99bc40460ea4/meta/.cache_manifest.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cache_key": "99bc40460ea4071a_marble-1.1_None",
3
+ "world_id": "0b686f9c-6f23-43ea-99d0-14b07b6d023e",
4
+ "operation_id": "57705024-3b1a-4668-8c0e-3048e5ffda58",
5
+ "assets_downloaded": true,
6
+ "usd_converted": true
7
+ }
0211_txt_99bc40460ea4/meta/camera_filter.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "rejected": [
3
+ "rand_013",
4
+ "rand_031",
5
+ "rand_042",
6
+ "rand_043"
7
+ ]
8
+ }
0211_txt_99bc40460ea4/meta/dimension_filter.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "excluded": []
3
+ }
0211_txt_99bc40460ea4/meta/label_filter.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "excluded": [
3
+ "outlet_1"
4
+ ]
5
+ }
0211_txt_99bc40460ea4/meta/scene.json ADDED
The diff for this file is too large to render. See raw diff
 
0211_txt_99bc40460ea4/meta/visibility.json ADDED
@@ -0,0 +1,874 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "rand_000": [
3
+ "cabinet_0",
4
+ "mouse pad_0"
5
+ ],
6
+ "rand_001": [
7
+ "desk_0",
8
+ "telephone_0",
9
+ "window blind_0"
10
+ ],
11
+ "rand_002": [
12
+ "office chair_0",
13
+ "window blind_0",
14
+ "window blinds_0"
15
+ ],
16
+ "rand_003": [
17
+ "cabinet_0",
18
+ "mouse pad_0"
19
+ ],
20
+ "rand_004": [
21
+ "monitor_0",
22
+ "mouse pad_0",
23
+ "telephone_0"
24
+ ],
25
+ "rand_005": [
26
+ "office chair_0",
27
+ "window blinds_0"
28
+ ],
29
+ "rand_006": [
30
+ "office chair_0",
31
+ "window blind_0",
32
+ "window blinds_0"
33
+ ],
34
+ "rand_007": [
35
+ "office chair_0",
36
+ "window blind_0",
37
+ "window blinds_0"
38
+ ],
39
+ "rand_008": [
40
+ "office chair_0",
41
+ "window blinds_0"
42
+ ],
43
+ "rand_009": [
44
+ "office chair_0",
45
+ "window blind_0",
46
+ "window blinds_0"
47
+ ],
48
+ "rand_010": [
49
+ "cabinet_0",
50
+ "mouse pad_0"
51
+ ],
52
+ "rand_011": [
53
+ "cabinet_0",
54
+ "monitor_0",
55
+ "mouse pad_0",
56
+ "telephone_0"
57
+ ],
58
+ "rand_012": [
59
+ "office chair_0",
60
+ "window blinds_0"
61
+ ],
62
+ "rand_013": [
63
+ "desk_0",
64
+ "window blind_0"
65
+ ],
66
+ "rand_014": [
67
+ "office chair_0",
68
+ "window blind_0",
69
+ "window blinds_0"
70
+ ],
71
+ "rand_015": [
72
+ "office chair_0",
73
+ "window blind_0",
74
+ "window blinds_0"
75
+ ],
76
+ "rand_016": [
77
+ "desk_0",
78
+ "telephone_0",
79
+ "window blind_0"
80
+ ],
81
+ "rand_017": [
82
+ "office chair_0",
83
+ "window blinds_0",
84
+ "office chair_1"
85
+ ],
86
+ "rand_018": [
87
+ "monitor_0",
88
+ "telephone_0"
89
+ ],
90
+ "rand_019": [
91
+ "monitor_0",
92
+ "telephone_0"
93
+ ],
94
+ "rand_020": [
95
+ "window blind_0"
96
+ ],
97
+ "rand_021": [
98
+ "office chair_0",
99
+ "window blinds_0"
100
+ ],
101
+ "rand_022": [
102
+ "cabinet_0",
103
+ "mouse pad_0",
104
+ "telephone_0"
105
+ ],
106
+ "rand_023": [
107
+ "monitor_0",
108
+ "telephone_0"
109
+ ],
110
+ "rand_024": [
111
+ "office chair_0",
112
+ "window blind_0",
113
+ "window blinds_0",
114
+ "office chair_1"
115
+ ],
116
+ "rand_025": [
117
+ "office chair_0",
118
+ "window blinds_0"
119
+ ],
120
+ "rand_026": [
121
+ "office chair_0",
122
+ "window blind_0",
123
+ "window blinds_0"
124
+ ],
125
+ "rand_027": [
126
+ "cabinet_0",
127
+ "mouse pad_0"
128
+ ],
129
+ "rand_028": [
130
+ "cabinet_0",
131
+ "mouse pad_0"
132
+ ],
133
+ "rand_029": [
134
+ "office chair_0",
135
+ "window blind_0",
136
+ "window blinds_0"
137
+ ],
138
+ "rand_030": [
139
+ "monitor_0",
140
+ "telephone_0"
141
+ ],
142
+ "rand_031": [
143
+ "desk_0",
144
+ "monitor_0",
145
+ "window blind_0"
146
+ ],
147
+ "rand_032": [
148
+ "cabinet_0",
149
+ "mouse pad_0"
150
+ ],
151
+ "rand_033": [
152
+ "cabinet_0",
153
+ "monitor_0",
154
+ "mouse pad_0",
155
+ "telephone_0"
156
+ ],
157
+ "rand_034": [
158
+ "window blind_0",
159
+ "window blinds_0"
160
+ ],
161
+ "rand_035": [
162
+ "monitor_0",
163
+ "telephone_0"
164
+ ],
165
+ "rand_036": [
166
+ "office chair_0",
167
+ "window blinds_0"
168
+ ],
169
+ "rand_037": [
170
+ "desk_0",
171
+ "monitor_0",
172
+ "telephone_0",
173
+ "window blind_0"
174
+ ],
175
+ "rand_038": [
176
+ "monitor_0",
177
+ "mouse pad_0",
178
+ "telephone_0"
179
+ ],
180
+ "rand_039": [
181
+ "office chair_0",
182
+ "window blind_0",
183
+ "window blinds_0"
184
+ ],
185
+ "rand_040": [
186
+ "monitor_0",
187
+ "telephone_0"
188
+ ],
189
+ "rand_041": [
190
+ "monitor_0",
191
+ "telephone_0"
192
+ ],
193
+ "rand_042": [
194
+ "cabinet_0",
195
+ "monitor_0",
196
+ "mouse pad_0",
197
+ "telephone_0"
198
+ ],
199
+ "rand_043": [
200
+ "desk_0",
201
+ "window blind_0"
202
+ ],
203
+ "rand_044": [
204
+ "office chair_0",
205
+ "window blind_0",
206
+ "window blinds_0"
207
+ ],
208
+ "rand_045": [
209
+ "office chair_0",
210
+ "window blind_0",
211
+ "window blinds_0"
212
+ ],
213
+ "rand_046": [
214
+ "cabinet_0",
215
+ "monitor_0",
216
+ "mouse pad_0",
217
+ "telephone_0"
218
+ ],
219
+ "rand_047": [
220
+ "office chair_0",
221
+ "window blinds_0",
222
+ "office chair_1"
223
+ ],
224
+ "rand_048": [
225
+ "monitor_0",
226
+ "telephone_0"
227
+ ],
228
+ "rand_049": [
229
+ "monitor_0",
230
+ "mouse pad_0",
231
+ "telephone_0"
232
+ ],
233
+ "view_000_edge_left": [],
234
+ "view_000_edge_right": [
235
+ "mouse pad_0"
236
+ ],
237
+ "view_000": [
238
+ "monitor_0",
239
+ "telephone_0"
240
+ ],
241
+ "view_000_step_down": [
242
+ "telephone_0"
243
+ ],
244
+ "view_000_step_forward": [
245
+ "cabinet_0",
246
+ "desk_0",
247
+ "monitor_0",
248
+ "mouse pad_0",
249
+ "telephone_0"
250
+ ],
251
+ "view_000_step_forward_yaw_left": [
252
+ "desk_0",
253
+ "monitor_0",
254
+ "telephone_0"
255
+ ],
256
+ "view_000_step_forward_yaw_right": [
257
+ "cabinet_0",
258
+ "monitor_0",
259
+ "mouse pad_0",
260
+ "telephone_0"
261
+ ],
262
+ "view_000_step_left": [],
263
+ "view_000_step_pitch_down": [
264
+ "monitor_0",
265
+ "telephone_0"
266
+ ],
267
+ "view_000_step_pitch_up": [
268
+ "monitor_0",
269
+ "telephone_0"
270
+ ],
271
+ "view_000_step_right": [
272
+ "mouse pad_0"
273
+ ],
274
+ "view_000_step_up": [
275
+ "monitor_0"
276
+ ],
277
+ "view_000_step_yaw_left": [
278
+ "monitor_0",
279
+ "telephone_0"
280
+ ],
281
+ "view_000_step_yaw_right": [
282
+ "monitor_0",
283
+ "mouse pad_0",
284
+ "telephone_0"
285
+ ],
286
+ "view_001_edge_left": [],
287
+ "view_001_edge_right": [
288
+ "mouse pad_0"
289
+ ],
290
+ "view_001": [
291
+ "monitor_0",
292
+ "mouse pad_0",
293
+ "telephone_0"
294
+ ],
295
+ "view_001_step_down": [
296
+ "mouse pad_0",
297
+ "telephone_0"
298
+ ],
299
+ "view_001_step_forward": [
300
+ "cabinet_0",
301
+ "monitor_0",
302
+ "mouse pad_0",
303
+ "telephone_0"
304
+ ],
305
+ "view_001_step_forward_yaw_left": [
306
+ "desk_0",
307
+ "monitor_0",
308
+ "mouse pad_0",
309
+ "telephone_0"
310
+ ],
311
+ "view_001_step_forward_yaw_right": [
312
+ "cabinet_0",
313
+ "monitor_0",
314
+ "mouse pad_0",
315
+ "telephone_0"
316
+ ],
317
+ "view_001_step_left": [
318
+ "monitor_0",
319
+ "telephone_0"
320
+ ],
321
+ "view_001_step_pitch_down": [
322
+ "monitor_0",
323
+ "mouse pad_0"
324
+ ],
325
+ "view_001_step_pitch_up": [
326
+ "monitor_0",
327
+ "mouse pad_0",
328
+ "telephone_0"
329
+ ],
330
+ "view_001_step_right": [
331
+ "cabinet_0",
332
+ "mouse pad_0"
333
+ ],
334
+ "view_001_step_up": [
335
+ "monitor_0",
336
+ "mouse pad_0"
337
+ ],
338
+ "view_001_step_yaw_left": [
339
+ "monitor_0",
340
+ "telephone_0"
341
+ ],
342
+ "view_001_step_yaw_right": [
343
+ "cabinet_0",
344
+ "mouse pad_0"
345
+ ],
346
+ "view_002_edge_left": [],
347
+ "view_002_edge_right": [],
348
+ "view_002": [
349
+ "cabinet_0",
350
+ "mouse pad_0"
351
+ ],
352
+ "view_002_step_down": [
353
+ "cabinet_0",
354
+ "mouse pad_0"
355
+ ],
356
+ "view_002_step_forward": [
357
+ "cabinet_0",
358
+ "monitor_0",
359
+ "mouse pad_0",
360
+ "telephone_0"
361
+ ],
362
+ "view_002_step_forward_yaw_left": [
363
+ "cabinet_0",
364
+ "monitor_0",
365
+ "mouse pad_0",
366
+ "telephone_0"
367
+ ],
368
+ "view_002_step_forward_yaw_right": [
369
+ "cabinet_0",
370
+ "mouse pad_0"
371
+ ],
372
+ "view_002_step_left": [
373
+ "monitor_0",
374
+ "mouse pad_0"
375
+ ],
376
+ "view_002_step_pitch_down": [
377
+ "mouse pad_0"
378
+ ],
379
+ "view_002_step_pitch_up": [
380
+ "cabinet_0",
381
+ "mouse pad_0"
382
+ ],
383
+ "view_002_step_right": [
384
+ "cabinet_0",
385
+ "mouse pad_0"
386
+ ],
387
+ "view_002_step_up": [
388
+ "mouse pad_0"
389
+ ],
390
+ "view_002_step_yaw_left": [
391
+ "cabinet_0",
392
+ "monitor_0",
393
+ "mouse pad_0",
394
+ "telephone_0"
395
+ ],
396
+ "view_002_step_yaw_right": [
397
+ "cabinet_0",
398
+ "mouse pad_0"
399
+ ],
400
+ "view_003_edge_left": [
401
+ "mouse pad_0"
402
+ ],
403
+ "view_003_edge_right": [
404
+ "office chair_0"
405
+ ],
406
+ "view_003": [
407
+ "cabinet_0",
408
+ "mouse pad_0"
409
+ ],
410
+ "view_003_step_down": [
411
+ "cabinet_0",
412
+ "mouse pad_0"
413
+ ],
414
+ "view_003_step_forward": [
415
+ "cabinet_0",
416
+ "mouse pad_0",
417
+ "office chair_0",
418
+ "telephone_0"
419
+ ],
420
+ "view_003_step_forward_yaw_left": [
421
+ "cabinet_0",
422
+ "monitor_0",
423
+ "mouse pad_0",
424
+ "telephone_0"
425
+ ],
426
+ "view_003_step_forward_yaw_right": [
427
+ "cabinet_0",
428
+ "mouse pad_0",
429
+ "office chair_0",
430
+ "office chair_1"
431
+ ],
432
+ "view_003_step_left": [
433
+ "cabinet_0",
434
+ "mouse pad_0"
435
+ ],
436
+ "view_003_step_pitch_down": [],
437
+ "view_003_step_pitch_up": [
438
+ "cabinet_0",
439
+ "mouse pad_0"
440
+ ],
441
+ "view_003_step_right": [
442
+ "office chair_0"
443
+ ],
444
+ "view_003_step_up": [
445
+ "mouse pad_0"
446
+ ],
447
+ "view_003_step_yaw_left": [
448
+ "cabinet_0",
449
+ "mouse pad_0"
450
+ ],
451
+ "view_003_step_yaw_right": [
452
+ "cabinet_0"
453
+ ],
454
+ "view_004_edge_left": [],
455
+ "view_004_edge_right": [
456
+ "office chair_0",
457
+ "office chair_1"
458
+ ],
459
+ "view_004": [
460
+ "cabinet_0",
461
+ "office chair_0"
462
+ ],
463
+ "view_004_step_down": [
464
+ "cabinet_0",
465
+ "office chair_0"
466
+ ],
467
+ "view_004_step_forward": [
468
+ "cabinet_0",
469
+ "mouse pad_0",
470
+ "office chair_0",
471
+ "office chair_1"
472
+ ],
473
+ "view_004_step_forward_yaw_left": [
474
+ "cabinet_0",
475
+ "monitor_0",
476
+ "mouse pad_0",
477
+ "telephone_0"
478
+ ],
479
+ "view_004_step_forward_yaw_right": [
480
+ "cabinet_0",
481
+ "office chair_0",
482
+ "window blinds_0",
483
+ "office chair_1"
484
+ ],
485
+ "view_004_step_left": [
486
+ "cabinet_0",
487
+ "mouse pad_0"
488
+ ],
489
+ "view_004_step_pitch_down": [
490
+ "office chair_0"
491
+ ],
492
+ "view_004_step_pitch_up": [
493
+ "cabinet_0",
494
+ "office chair_0"
495
+ ],
496
+ "view_004_step_right": [
497
+ "office chair_0",
498
+ "office chair_1"
499
+ ],
500
+ "view_004_step_up": [
501
+ "office chair_0"
502
+ ],
503
+ "view_004_step_yaw_left": [
504
+ "cabinet_0"
505
+ ],
506
+ "view_004_step_yaw_right": [
507
+ "office chair_0"
508
+ ],
509
+ "view_005_edge_left": [],
510
+ "view_005_edge_right": [
511
+ "office chair_0",
512
+ "window blind_0",
513
+ "window blinds_0",
514
+ "office chair_1"
515
+ ],
516
+ "view_005": [
517
+ "office chair_0"
518
+ ],
519
+ "view_005_step_down": [
520
+ "office chair_0"
521
+ ],
522
+ "view_005_step_forward": [
523
+ "cabinet_0",
524
+ "office chair_0",
525
+ "window blinds_0"
526
+ ],
527
+ "view_005_step_forward_yaw_left": [
528
+ "cabinet_0",
529
+ "mouse pad_0",
530
+ "office chair_0"
531
+ ],
532
+ "view_005_step_forward_yaw_right": [
533
+ "desk_0",
534
+ "office chair_0",
535
+ "window blind_0",
536
+ "window blinds_0"
537
+ ],
538
+ "view_005_step_left": [
539
+ "office chair_0"
540
+ ],
541
+ "view_005_step_pitch_down": [
542
+ "office chair_0"
543
+ ],
544
+ "view_005_step_pitch_up": [
545
+ "office chair_0"
546
+ ],
547
+ "view_005_step_right": [
548
+ "office chair_0",
549
+ "window blinds_0",
550
+ "office chair_1"
551
+ ],
552
+ "view_005_step_up": [
553
+ "office chair_0"
554
+ ],
555
+ "view_005_step_yaw_left": [
556
+ "office chair_0"
557
+ ],
558
+ "view_005_step_yaw_right": [
559
+ "office chair_0",
560
+ "window blinds_0"
561
+ ],
562
+ "view_006_edge_left": [
563
+ "office chair_0"
564
+ ],
565
+ "view_006_edge_right": [
566
+ "window blind_0",
567
+ "window blinds_0"
568
+ ],
569
+ "view_006": [
570
+ "office chair_0",
571
+ "window blinds_0"
572
+ ],
573
+ "view_006_step_down": [
574
+ "office chair_0",
575
+ "window blinds_0"
576
+ ],
577
+ "view_006_step_forward": [
578
+ "desk_0",
579
+ "office chair_0",
580
+ "window blind_0",
581
+ "window blinds_0"
582
+ ],
583
+ "view_006_step_forward_yaw_left": [
584
+ "cabinet_0",
585
+ "office chair_0",
586
+ "window blinds_0"
587
+ ],
588
+ "view_006_step_forward_yaw_right": [
589
+ "desk_0",
590
+ "office chair_0",
591
+ "window blind_0",
592
+ "window blinds_0"
593
+ ],
594
+ "view_006_step_left": [
595
+ "office chair_0",
596
+ "window blinds_0"
597
+ ],
598
+ "view_006_step_pitch_down": [
599
+ "office chair_0",
600
+ "window blinds_0"
601
+ ],
602
+ "view_006_step_pitch_up": [
603
+ "office chair_0"
604
+ ],
605
+ "view_006_step_right": [
606
+ "window blind_0",
607
+ "window blinds_0",
608
+ "office chair_1"
609
+ ],
610
+ "view_006_step_up": [
611
+ "office chair_0",
612
+ "window blinds_0"
613
+ ],
614
+ "view_006_step_yaw_left": [
615
+ "office chair_0",
616
+ "window blinds_0"
617
+ ],
618
+ "view_006_step_yaw_right": [
619
+ "window blind_0",
620
+ "window blinds_0"
621
+ ],
622
+ "view_007_edge_left": [
623
+ "office chair_0",
624
+ "window blinds_0"
625
+ ],
626
+ "view_007_edge_right": [
627
+ "window blind_0"
628
+ ],
629
+ "view_007": [
630
+ "window blind_0",
631
+ "window blinds_0"
632
+ ],
633
+ "view_007_step_down": [
634
+ "window blind_0"
635
+ ],
636
+ "view_007_step_forward": [
637
+ "desk_0",
638
+ "office chair_0",
639
+ "window blind_0",
640
+ "window blinds_0"
641
+ ],
642
+ "view_007_step_forward_yaw_left": [
643
+ "cabinet_0",
644
+ "office chair_0",
645
+ "window blind_0",
646
+ "window blinds_0"
647
+ ],
648
+ "view_007_step_forward_yaw_right": [
649
+ "desk_0",
650
+ "window blind_0",
651
+ "window blinds_0"
652
+ ],
653
+ "view_007_step_left": [
654
+ "office chair_0",
655
+ "window blinds_0"
656
+ ],
657
+ "view_007_step_pitch_down": [
658
+ "window blind_0",
659
+ "window blinds_0"
660
+ ],
661
+ "view_007_step_pitch_up": [
662
+ "window blind_0"
663
+ ],
664
+ "view_007_step_right": [
665
+ "window blind_0",
666
+ "window blinds_0"
667
+ ],
668
+ "view_007_step_up": [
669
+ "window blind_0",
670
+ "window blinds_0"
671
+ ],
672
+ "view_007_step_yaw_left": [
673
+ "office chair_0",
674
+ "window blind_0",
675
+ "window blinds_0"
676
+ ],
677
+ "view_007_step_yaw_right": [
678
+ "desk_0",
679
+ "window blind_0",
680
+ "window blinds_0"
681
+ ],
682
+ "view_008_edge_left": [
683
+ "window blind_0",
684
+ "window blinds_0"
685
+ ],
686
+ "view_008_edge_right": [],
687
+ "view_008": [
688
+ "desk_0",
689
+ "window blind_0"
690
+ ],
691
+ "view_008_step_down": [
692
+ "desk_0",
693
+ "window blind_0"
694
+ ],
695
+ "view_008_step_forward": [
696
+ "desk_0",
697
+ "window blind_0",
698
+ "window blinds_0"
699
+ ],
700
+ "view_008_step_forward_yaw_left": [
701
+ "desk_0",
702
+ "office chair_0",
703
+ "window blind_0",
704
+ "window blinds_0"
705
+ ],
706
+ "view_008_step_forward_yaw_right": [
707
+ "desk_0",
708
+ "monitor_0",
709
+ "telephone_0",
710
+ "window blind_0"
711
+ ],
712
+ "view_008_step_left": [
713
+ "window blind_0",
714
+ "window blinds_0"
715
+ ],
716
+ "view_008_step_pitch_down": [
717
+ "window blind_0"
718
+ ],
719
+ "view_008_step_pitch_up": [
720
+ "desk_0",
721
+ "window blind_0"
722
+ ],
723
+ "view_008_step_right": [
724
+ "desk_0",
725
+ "window blind_0"
726
+ ],
727
+ "view_008_step_up": [
728
+ "window blind_0"
729
+ ],
730
+ "view_008_step_yaw_left": [
731
+ "window blind_0",
732
+ "window blinds_0"
733
+ ],
734
+ "view_008_step_yaw_right": [
735
+ "desk_0",
736
+ "window blind_0"
737
+ ],
738
+ "view_009_edge_left": [
739
+ "window blind_0"
740
+ ],
741
+ "view_009_edge_right": [],
742
+ "view_009": [
743
+ "desk_0"
744
+ ],
745
+ "view_009_step_down": [
746
+ "desk_0"
747
+ ],
748
+ "view_009_step_forward": [
749
+ "desk_0",
750
+ "telephone_0",
751
+ "window blind_0"
752
+ ],
753
+ "view_009_step_forward_yaw_left": [
754
+ "desk_0",
755
+ "window blind_0",
756
+ "window blinds_0"
757
+ ],
758
+ "view_009_step_forward_yaw_right": [
759
+ "desk_0",
760
+ "monitor_0",
761
+ "telephone_0"
762
+ ],
763
+ "view_009_step_left": [
764
+ "window blind_0"
765
+ ],
766
+ "view_009_step_pitch_down": [
767
+ "window blind_0"
768
+ ],
769
+ "view_009_step_pitch_up": [
770
+ "desk_0"
771
+ ],
772
+ "view_009_step_right": [],
773
+ "view_009_step_up": [
774
+ "window blind_0"
775
+ ],
776
+ "view_009_step_yaw_left": [
777
+ "desk_0",
778
+ "window blind_0"
779
+ ],
780
+ "view_009_step_yaw_right": [
781
+ "desk_0"
782
+ ],
783
+ "view_010_edge_left": [
784
+ "window blind_0"
785
+ ],
786
+ "view_010_edge_right": [],
787
+ "view_010": [
788
+ "desk_0"
789
+ ],
790
+ "view_010_step_down": [
791
+ "desk_0"
792
+ ],
793
+ "view_010_step_forward": [
794
+ "desk_0",
795
+ "monitor_0",
796
+ "telephone_0"
797
+ ],
798
+ "view_010_step_forward_yaw_left": [
799
+ "desk_0",
800
+ "window blind_0"
801
+ ],
802
+ "view_010_step_forward_yaw_right": [
803
+ "desk_0",
804
+ "monitor_0",
805
+ "telephone_0"
806
+ ],
807
+ "view_010_step_left": [
808
+ "desk_0"
809
+ ],
810
+ "view_010_step_pitch_down": [],
811
+ "view_010_step_pitch_up": [
812
+ "desk_0"
813
+ ],
814
+ "view_010_step_right": [
815
+ "monitor_0"
816
+ ],
817
+ "view_010_step_up": [],
818
+ "view_010_step_yaw_left": [
819
+ "desk_0"
820
+ ],
821
+ "view_010_step_yaw_right": [
822
+ "desk_0",
823
+ "monitor_0",
824
+ "telephone_0"
825
+ ],
826
+ "view_011_edge_left": [],
827
+ "view_011_edge_right": [],
828
+ "view_011": [
829
+ "monitor_0",
830
+ "telephone_0"
831
+ ],
832
+ "view_011_step_down": [
833
+ "telephone_0"
834
+ ],
835
+ "view_011_step_forward": [
836
+ "desk_0",
837
+ "monitor_0",
838
+ "telephone_0"
839
+ ],
840
+ "view_011_step_forward_yaw_left": [
841
+ "desk_0",
842
+ "monitor_0",
843
+ "telephone_0"
844
+ ],
845
+ "view_011_step_forward_yaw_right": [
846
+ "cabinet_0",
847
+ "desk_0",
848
+ "monitor_0",
849
+ "mouse pad_0",
850
+ "telephone_0"
851
+ ],
852
+ "view_011_step_left": [],
853
+ "view_011_step_pitch_down": [
854
+ "monitor_0"
855
+ ],
856
+ "view_011_step_pitch_up": [
857
+ "monitor_0",
858
+ "telephone_0"
859
+ ],
860
+ "view_011_step_right": [
861
+ "monitor_0",
862
+ "telephone_0"
863
+ ],
864
+ "view_011_step_up": [
865
+ "monitor_0"
866
+ ],
867
+ "view_011_step_yaw_left": [
868
+ "desk_0"
869
+ ],
870
+ "view_011_step_yaw_right": [
871
+ "monitor_0",
872
+ "telephone_0"
873
+ ]
874
+ }
0211_txt_99bc40460ea4/meta/world_full.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "world_id": "0b686f9c-6f23-43ea-99d0-14b07b6d023e",
3
+ "display_name": "This is a modern office workspace, captu",
4
+ "tags": null,
5
+ "assets": {
6
+ "mesh": {
7
+ "collider_mesh_url": "https://cdn.marble.worldlabs.ai/0b686f9c-6f23-43ea-99d0-14b07b6d023e/c1035e41.glb"
8
+ },
9
+ "imagery": {
10
+ "pano_url": "https://cdn.marble.worldlabs.ai/0b686f9c-6f23-43ea-99d0-14b07b6d023e/0654d421-c7e0-410e-b812-a44d81501d7e_panos/rgb_0.png"
11
+ },
12
+ "splats": {
13
+ "spz_urls": {
14
+ "500k": "https://cdn.marble.worldlabs.ai/0b686f9c-6f23-43ea-99d0-14b07b6d023e/5ab6f1b5-8349-4a36-93ab-2c803f3aa1c1_ceramic_500k.spz",
15
+ "100k": "https://cdn.marble.worldlabs.ai/0b686f9c-6f23-43ea-99d0-14b07b6d023e/b3647d00-0fee-4a19-8e7d-53ab26fdb226_dust_100k.spz",
16
+ "150k": "https://cdn.marble.worldlabs.ai/0b686f9c-6f23-43ea-99d0-14b07b6d023e/b135d361-9579-443e-a2c0-94bbcb436b8c_ceramic_150k.spz",
17
+ "full_res": "https://cdn.marble.worldlabs.ai/0b686f9c-6f23-43ea-99d0-14b07b6d023e/7faa1fc6-bd65-47c6-b41c-20f45d188e40_ceramic.spz"
18
+ },
19
+ "semantics_metadata": {
20
+ "metric_scale_factor": 0.5370839834213257,
21
+ "ground_plane_offset": 0.3269076347351074
22
+ }
23
+ },
24
+ "thumbnail_url": "https://cdn.marble.worldlabs.ai/0b686f9c-6f23-43ea-99d0-14b07b6d023e/a312a891-3b32-4920-9319-40c6e452657d_sand_mpi/thumbnail.webp",
25
+ "caption": "The scene is a modern office workspace, captured in a realistic style, showcasing a minimalist and functional environment. The overall tone is calm and focused, with a slightly dramatic atmosphere created by the interplay of light and shadow. A clean, light-colored laminate desk occupies the foreground and midground, its smooth surface reflecting the ambient light. On the left side of the desk, a rectangular, matte black computer monitor, approximately 24 inches, is angled slightly to the left, its glossy screen turned off. A second identical monitor is centered on the desk, also with a glossy, turned-off screen, and a small black rectangular webcam is mounted atop its upper edge. Between the two monitors, a black office telephone with a rectangular base and a small blue LCD screen is positioned, accompanied by a coiled handset and a red circular button on its base. To the right of the telephone, a small, flat, matte blue plastic disc, approximately 2 inches in diameter, rests on the desk. To the far right, a portion of a black ergonomic office chair with a mesh back is visible. The back wall is painted a neutral, matte gray, and a large window with a dark metal frame is set into it, featuring horizontal blinds that cast sharp, parallel diagonal bands of bright white sunlight across the wall and desk surface. Beneath the window, a white windowsill holds two black electrical plugs inserted into wall sockets. The desk is positioned in front of the gray wall, with the monitors and telephone arranged centrally on its surface. The window is located on the right side of the back wall, with the electrical outlets directly beneath it. "
26
+ },
27
+ "created_at": "2026-04-10T17:16:19Z",
28
+ "updated_at": "2026-04-10T17:21:51Z",
29
+ "permission": {
30
+ "public": false,
31
+ "allowed_readers": [],
32
+ "allowed_writers": [],
33
+ "allow_id_access": false
34
+ },
35
+ "world_prompt": {
36
+ "text_prompt": "The scene is a modern office workspace, captured in a realistic style, showcasing a minimalist and functional environment. The overall tone is calm and focused, with a slightly dramatic atmosphere created by the interplay of light and shadow. A clean, light-colored laminate desk occupies the foreground and midground, its smooth surface reflecting the ambient light. On the left side of the desk, a rectangular, matte black computer monitor, approximately 24 inches, is angled slightly to the left, its glossy screen turned off. A second identical monitor is centered on the desk, also with a glossy, turned-off screen, and a small black rectangular webcam is mounted atop its upper edge. Between the two monitors, a black office telephone with a rectangular base and a small blue LCD screen is positioned, accompanied by a coiled handset and a red circular button on its base. To the right of the telephone, a small, flat, matte blue plastic disc, approximately 2 inches in diameter, rests on the desk. To the far right, a portion of a black ergonomic office chair with a mesh back is visible. The back wall is painted a neutral, matte gray, and a large window with a dark metal frame is set into it, featuring horizontal blinds that cast sharp, parallel diagonal bands of bright white sunlight across the wall and desk surface. Beneath the window, a white windowsill holds two black electrical plugs inserted into wall sockets. The desk is positioned in front of the gray wall, with the monitors and telephone arranged centrally on its surface. The window is located on the right side of the back wall, with the electrical outlets directly beneath it. The 360 scene is faultless.",
37
+ "type": "text"
38
+ },
39
+ "world_marble_url": "https://marble.worldlabs.ai/world/0b686f9c-6f23-43ea-99d0-14b07b6d023e",
40
+ "model": "marble-1.1"
41
+ }
0211_txt_99bc40460ea4/meta/world_metadata.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "operation_id": "57705024-3b1a-4668-8c0e-3048e5ffda58",
3
+ "created_at": "2026-04-10T17:16:20Z",
4
+ "updated_at": "2026-04-10T17:21:51Z",
5
+ "expires_at": "2026-04-10T20:16:20Z",
6
+ "done": true,
7
+ "error": null,
8
+ "metadata": {
9
+ "progress": {
10
+ "status": "SUCCEEDED",
11
+ "description": "World generation completed successfully"
12
+ },
13
+ "world_id": "0b686f9c-6f23-43ea-99d0-14b07b6d023e"
14
+ },
15
+ "response": {
16
+ "world_id": "0b686f9c-6f23-43ea-99d0-14b07b6d023e",
17
+ "display_name": "",
18
+ "tags": null,
19
+ "assets": {
20
+ "mesh": {
21
+ "collider_mesh_url": "https://cdn.marble.worldlabs.ai/0b686f9c-6f23-43ea-99d0-14b07b6d023e/c1035e41.glb"
22
+ },
23
+ "imagery": {
24
+ "pano_url": "https://cdn.marble.worldlabs.ai/0b686f9c-6f23-43ea-99d0-14b07b6d023e/0654d421-c7e0-410e-b812-a44d81501d7e_panos/rgb_0.png"
25
+ },
26
+ "splats": {
27
+ "spz_urls": {
28
+ "500k": "https://cdn.marble.worldlabs.ai/0b686f9c-6f23-43ea-99d0-14b07b6d023e/5ab6f1b5-8349-4a36-93ab-2c803f3aa1c1_ceramic_500k.spz",
29
+ "100k": "https://cdn.marble.worldlabs.ai/0b686f9c-6f23-43ea-99d0-14b07b6d023e/b3647d00-0fee-4a19-8e7d-53ab26fdb226_dust_100k.spz",
30
+ "150k": "https://cdn.marble.worldlabs.ai/0b686f9c-6f23-43ea-99d0-14b07b6d023e/b135d361-9579-443e-a2c0-94bbcb436b8c_ceramic_150k.spz",
31
+ "full_res": "https://cdn.marble.worldlabs.ai/0b686f9c-6f23-43ea-99d0-14b07b6d023e/7faa1fc6-bd65-47c6-b41c-20f45d188e40_ceramic.spz"
32
+ },
33
+ "semantics_metadata": {
34
+ "metric_scale_factor": 0.537084,
35
+ "ground_plane_offset": 0.32690763
36
+ }
37
+ },
38
+ "thumbnail_url": "https://cdn.marble.worldlabs.ai/0b686f9c-6f23-43ea-99d0-14b07b6d023e/a312a891-3b32-4920-9319-40c6e452657d_sand_mpi/thumbnail.webp",
39
+ "caption": "The scene is a modern office workspace, captured in a realistic style, showcasing a minimalist and functional environment. The overall tone is calm and focused, with a slightly dramatic atmosphere created by the interplay of light and shadow. A clean, light-colored laminate desk occupies the foreground and midground, its smooth surface reflecting the ambient light. On the left side of the desk, a rectangular, matte black computer monitor, approximately 24 inches, is angled slightly to the left, its glossy screen turned off. A second identical monitor is centered on the desk, also with a glossy, turned-off screen, and a small black rectangular webcam is mounted atop its upper edge. Between the two monitors, a black office telephone with a rectangular base and a small blue LCD screen is positioned, accompanied by a coiled handset and a red circular button on its base. To the right of the telephone, a small, flat, matte blue plastic disc, approximately 2 inches in diameter, rests on the desk. To the far right, a portion of a black ergonomic office chair with a mesh back is visible. The back wall is painted a neutral, matte gray, and a large window with a dark metal frame is set into it, featuring horizontal blinds that cast sharp, parallel diagonal bands of bright white sunlight across the wall and desk surface. Beneath the window, a white windowsill holds two black electrical plugs inserted into wall sockets. The desk is positioned in front of the gray wall, with the monitors and telephone arranged centrally on its surface. The window is located on the right side of the back wall, with the electrical outlets directly beneath it. The 360 scene is faultless."
40
+ },
41
+ "created_at": null,
42
+ "updated_at": null,
43
+ "permission": {
44
+ "public": false,
45
+ "allowed_readers": [],
46
+ "allowed_writers": [],
47
+ "allow_id_access": false
48
+ },
49
+ "world_prompt": null,
50
+ "world_marble_url": "https://marble.worldlabs.ai/world/0b686f9c-6f23-43ea-99d0-14b07b6d023e",
51
+ "model": null
52
+ }
53
+ }
0211_txt_99bc40460ea4/tasks/000_closest_object/question_0.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Identify which object has a smaller distance to the camera: blind (blue point) or chair (red point). Calculate or judge based on the 3D center points of these objects. Choose the right response.",
4
+ "choices": [
5
+ "A. blind (blue point)",
6
+ "B. chair (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_037",
10
+ "camera_position": [
11
+ 0.10150780476781172,
12
+ 0.02374753523435258,
13
+ -0.4840745829933485
14
+ ],
15
+ "camera_look_at": [
16
+ -0.4799009725764082,
17
+ 1.9455498501802273,
18
+ -0.5865154012588805
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "blind",
23
+ "id": "blind_1",
24
+ "centroid": [
25
+ -0.46875548362731934,
26
+ 1.961983323097229,
27
+ 0.1754319667816162
28
+ ],
29
+ "distance_to_camera": 2.125301643682546,
30
+ "width": 1.2409326136112213,
31
+ "length": 1.1523098945617676,
32
+ "height": 1.0505032539367676
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "chair",
37
+ "id": "chair_0",
38
+ "centroid": [
39
+ 0.6987492442131042,
40
+ 1.5137739181518555,
41
+ -0.3654223643243313
42
+ ],
43
+ "distance_to_camera": 1.6096441556368855,
44
+ "width": 0.9262499809265137,
45
+ "length": 0.615478515625,
46
+ "height": 0.8541162088513374
47
+ },
48
+ "scene_id": "0211_txt_99bc40460ea4",
49
+ "layout_path": null,
50
+ "image_path": "question_image_0.jpg"
51
+ }
0211_txt_99bc40460ea4/tasks/000_closest_object/question_1.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Out of blind (blue point) and chair (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.",
4
+ "choices": [
5
+ "A. blind (blue point)",
6
+ "B. chair (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_035",
10
+ "camera_position": [
11
+ 0.34121957455451013,
12
+ 0.2278012137070632,
13
+ -0.19321815704412915
14
+ ],
15
+ "camera_look_at": [
16
+ 0.6738091498299685,
17
+ 2.300632892237954,
18
+ -0.4587833598125233
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "blind",
23
+ "id": "blind_1",
24
+ "centroid": [
25
+ -0.46875548362731934,
26
+ 1.961983323097229,
27
+ 0.1754319667816162
28
+ ],
29
+ "distance_to_camera": 1.9491921652834336,
30
+ "width": 1.2409326136112213,
31
+ "length": 1.1523098945617676,
32
+ "height": 1.0505032539367676
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "chair",
37
+ "id": "chair_0",
38
+ "centroid": [
39
+ 0.6987492442131042,
40
+ 1.5137739181518555,
41
+ -0.3654223643243313
42
+ ],
43
+ "distance_to_camera": 1.3458111124033119,
44
+ "width": 0.9262499809265137,
45
+ "length": 0.615478515625,
46
+ "height": 0.8541162088513374
47
+ },
48
+ "scene_id": "0211_txt_99bc40460ea4",
49
+ "layout_path": null,
50
+ "image_path": "question_image_1.jpg"
51
+ }
0211_txt_99bc40460ea4/tasks/000_closest_object/question_2.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Consider mouse pad (blue point) and monitor (red point). Which is located closer to the viewpoint? Calculate or judge based on the 3D center points of these objects. Select one.",
4
+ "choices": [
5
+ "A. mouse pad (blue point)",
6
+ "B. monitor (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_048",
10
+ "camera_position": [
11
+ -0.3145212201306053,
12
+ 0.060066762638231075,
13
+ 0.3214644863809868
14
+ ],
15
+ "camera_look_at": [
16
+ 0.9781510878664131,
17
+ -0.7002702946950707,
18
+ -0.6019173639696402
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "mouse pad",
23
+ "id": "mouse pad_0",
24
+ "centroid": [
25
+ 1.0560425519943237,
26
+ -0.7376662492752075,
27
+ -0.5779052674770355
28
+ ],
29
+ "distance_to_camera": 1.8230987263207774,
30
+ "width": 0.19223636388778687,
31
+ "length": 0.426025390625,
32
+ "height": 0.020556628704071045
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "monitor",
37
+ "id": "monitor_0",
38
+ "centroid": [
39
+ -0.0012328083394095302,
40
+ -0.9569400548934937,
41
+ -0.1402587890625
42
+ ],
43
+ "distance_to_camera": 1.1600176201053667,
44
+ "width": 1.9539746046066284,
45
+ "length": 0.070068359375,
46
+ "height": 0.582763671875
47
+ },
48
+ "scene_id": "0211_txt_99bc40460ea4",
49
+ "layout_path": null,
50
+ "image_path": "question_image_2.jpg"
51
+ }
0211_txt_99bc40460ea4/tasks/000_closest_object/question_3.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "closest_object",
3
+ "question": "Out of mouse pad (blue point) and monitor (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.",
4
+ "choices": [
5
+ "A. mouse pad (blue point)",
6
+ "B. monitor (red point)"
7
+ ],
8
+ "answer": "B",
9
+ "camera_name": "rand_048",
10
+ "camera_position": [
11
+ -0.3145212201306053,
12
+ 0.060066762638231075,
13
+ 0.3214644863809868
14
+ ],
15
+ "camera_look_at": [
16
+ 0.9781510878664131,
17
+ -0.7002702946950707,
18
+ -0.6019173639696402
19
+ ],
20
+ "blue": {
21
+ "circle_color": "blue",
22
+ "label": "mouse pad",
23
+ "id": "mouse pad_0",
24
+ "centroid": [
25
+ 1.0560425519943237,
26
+ -0.7376662492752075,
27
+ -0.5779052674770355
28
+ ],
29
+ "distance_to_camera": 1.8230987263207774,
30
+ "width": 0.19223636388778687,
31
+ "length": 0.426025390625,
32
+ "height": 0.020556628704071045
33
+ },
34
+ "red": {
35
+ "circle_color": "red",
36
+ "label": "monitor",
37
+ "id": "monitor_0",
38
+ "centroid": [
39
+ -0.0012328083394095302,
40
+ -0.9569400548934937,
41
+ -0.1402587890625
42
+ ],
43
+ "distance_to_camera": 1.1600176201053667,
44
+ "width": 1.9539746046066284,
45
+ "length": 0.070068359375,
46
+ "height": 0.582763671875
47
+ },
48
+ "scene_id": "0211_txt_99bc40460ea4",
49
+ "layout_path": null,
50
+ "image_path": "question_image_3.jpg"
51
+ }
0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_0.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "How far along the depth axis is the chair (red point) from the camera? Calculate or judge based on the 3D center points of these objects. Answer in meters only.",
4
+ "answer": "1.72",
5
+ "camera_name": "rand_004",
6
+ "camera_position": [
7
+ 0.32349421322319827,
8
+ -0.4063327921879419,
9
+ 0.05275534439032725
10
+ ],
11
+ "camera_look_at": [
12
+ -0.4646003042535607,
13
+ 1.9443445517790048,
14
+ -0.07191558562136452
15
+ ],
16
+ "object": {
17
+ "label": "chair",
18
+ "id": "chair_0",
19
+ "centroid": [
20
+ 0.6987492442131042,
21
+ 1.5137739181518555,
22
+ -0.3654223643243313
23
+ ],
24
+ "depth": 1.72,
25
+ "width": 0.9262499809265137,
26
+ "length": 0.615478515625,
27
+ "height": 0.8541162088513374
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_0.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_1.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What is the depth of the blind (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.",
4
+ "answer": "2.35",
5
+ "camera_name": "rand_054",
6
+ "camera_position": [
7
+ 0.10046430909247003,
8
+ -0.3140007548293593,
9
+ 0.27428592258635165
10
+ ],
11
+ "camera_look_at": [
12
+ -0.5498791762734543,
13
+ 1.9390527605751817,
14
+ 0.1684061759720339
15
+ ],
16
+ "object": {
17
+ "label": "blind",
18
+ "id": "blind_1",
19
+ "centroid": [
20
+ -0.46875548362731934,
21
+ 1.961983323097229,
22
+ 0.1754319667816162
23
+ ],
24
+ "depth": 2.35,
25
+ "width": 1.2409326136112213,
26
+ "length": 1.1523098945617676,
27
+ "height": 1.0505032539367676
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_1.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_2.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Calculate the depth of the blind (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.",
4
+ "answer": "2.0",
5
+ "camera_name": "rand_015",
6
+ "camera_position": [
7
+ 0.01834993559674125,
8
+ -0.36559440082729266,
9
+ 0.16818724111401773
10
+ ],
11
+ "camera_look_at": [
12
+ 0.6198371273727699,
13
+ 1.5393207227448404,
14
+ -0.35947610918082806
15
+ ],
16
+ "object": {
17
+ "label": "blind",
18
+ "id": "blind_1",
19
+ "centroid": [
20
+ -0.46875548362731934,
21
+ 1.961983323097229,
22
+ 0.1754319667816162
23
+ ],
24
+ "depth": 2.0,
25
+ "width": 1.2409326136112213,
26
+ "length": 1.1523098945617676,
27
+ "height": 1.0505032539367676
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_2.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_3.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Measure the depth to the chair (red point) in meters. Calculate or judge based on the 3D center points of these objects. Reply with a single number.",
4
+ "answer": "1.34",
5
+ "camera_name": "rand_035",
6
+ "camera_position": [
7
+ 0.34121957455451013,
8
+ 0.2278012137070632,
9
+ -0.19321815704412915
10
+ ],
11
+ "camera_look_at": [
12
+ 0.6738091498299685,
13
+ 2.300632892237954,
14
+ -0.4587833598125233
15
+ ],
16
+ "object": {
17
+ "label": "chair",
18
+ "id": "chair_0",
19
+ "centroid": [
20
+ 0.6987492442131042,
21
+ 1.5137739181518555,
22
+ -0.3654223643243313
23
+ ],
24
+ "depth": 1.34,
25
+ "width": 0.9262499809265137,
26
+ "length": 0.615478515625,
27
+ "height": 0.8541162088513374
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_3.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_4.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What is the depth of the telephone (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.",
4
+ "answer": "1.24",
5
+ "camera_name": "rand_003",
6
+ "camera_position": [
7
+ -0.10446647670067566,
8
+ 0.05572451246035115,
9
+ 0.22506620625828955
10
+ ],
11
+ "camera_look_at": [
12
+ 0.03837490297296586,
13
+ -0.8881716992877559,
14
+ -0.5320195452769012
15
+ ],
16
+ "object": {
17
+ "label": "telephone",
18
+ "id": "telephone_0",
19
+ "centroid": [
20
+ -0.005527956411242485,
21
+ -0.9169309735298157,
22
+ -0.53173828125
23
+ ],
24
+ "depth": 1.24,
25
+ "width": 0.36328125,
26
+ "length": 0.45461416244506836,
27
+ "height": 0.07861328125
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_4.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_5.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Estimate the depth in meters of the monitor (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "0.91",
5
+ "camera_name": "rand_048",
6
+ "camera_position": [
7
+ -0.3145212201306053,
8
+ 0.060066762638231075,
9
+ 0.3214644863809868
10
+ ],
11
+ "camera_look_at": [
12
+ 0.9781510878664131,
13
+ -0.7002702946950707,
14
+ -0.6019173639696402
15
+ ],
16
+ "object": {
17
+ "label": "monitor",
18
+ "id": "monitor_0",
19
+ "centroid": [
20
+ -0.0012328083394095302,
21
+ -0.9569400548934937,
22
+ -0.1402587890625
23
+ ],
24
+ "depth": 0.91,
25
+ "width": 1.9539746046066284,
26
+ "length": 0.070068359375,
27
+ "height": 0.582763671875
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_5.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_6.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Estimate the depth in meters of the mouse pad (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "1.17",
5
+ "camera_name": "view_003",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ 9.659257888793945,
13
+ -5.914589666286812e-16,
14
+ -2.5881905555725098
15
+ ],
16
+ "object": {
17
+ "label": "mouse pad",
18
+ "id": "mouse pad_0",
19
+ "centroid": [
20
+ 1.0560425519943237,
21
+ -0.7376662492752075,
22
+ -0.5779052674770355
23
+ ],
24
+ "depth": 1.17,
25
+ "width": 0.19223636388778687,
26
+ "length": 0.426025390625,
27
+ "height": 0.020556628704071045
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_6.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_7.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What is the depth of the telephone (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.",
4
+ "answer": "0.58",
5
+ "camera_name": "rand_007",
6
+ "camera_position": [
7
+ -0.01399602696439936,
8
+ -0.3843316480684704,
9
+ -0.2101144801250321
10
+ ],
11
+ "camera_look_at": [
12
+ -0.051538075387024,
13
+ -0.9822004093036043,
14
+ -0.32199993411480793
15
+ ],
16
+ "object": {
17
+ "label": "telephone",
18
+ "id": "telephone_0",
19
+ "centroid": [
20
+ -0.005527956411242485,
21
+ -0.9169309735298157,
22
+ -0.53173828125
23
+ ],
24
+ "depth": 0.58,
25
+ "width": 0.36328125,
26
+ "length": 0.45461416244506836,
27
+ "height": 0.07861328125
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_7.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_8.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "Determine the depth of the monitor (red point) in meters. Calculate or judge based on the 3D center points of these objects. Provide a single numerical answer.",
4
+ "answer": "0.55",
5
+ "camera_name": "rand_007",
6
+ "camera_position": [
7
+ -0.01399602696439936,
8
+ -0.3843316480684704,
9
+ -0.2101144801250321
10
+ ],
11
+ "camera_look_at": [
12
+ -0.051538075387024,
13
+ -0.9822004093036043,
14
+ -0.32199993411480793
15
+ ],
16
+ "object": {
17
+ "label": "monitor",
18
+ "id": "monitor_0",
19
+ "centroid": [
20
+ -0.0012328083394095302,
21
+ -0.9569400548934937,
22
+ -0.1402587890625
23
+ ],
24
+ "depth": 0.55,
25
+ "width": 1.9539746046066284,
26
+ "length": 0.070068359375,
27
+ "height": 0.582763671875
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_8.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/001_depth_estimation/question_9.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "depth_estimation",
3
+ "question": "What is the distance along the camera's viewing direction to the mouse pad (red point)? Calculate or judge based on the 3D center points of these objects. Answer in meters, number only.",
4
+ "answer": "1.0",
5
+ "camera_name": "rand_002",
6
+ "camera_position": [
7
+ 0.3348902463764349,
8
+ -0.1794108630951744,
9
+ -0.16866575357006353
10
+ ],
11
+ "camera_look_at": [
12
+ 1.0378299782012768,
13
+ -0.784737631690621,
14
+ -0.5913951561129503
15
+ ],
16
+ "object": {
17
+ "label": "mouse pad",
18
+ "id": "mouse pad_0",
19
+ "centroid": [
20
+ 1.0560425519943237,
21
+ -0.7376662492752075,
22
+ -0.5779052674770355
23
+ ],
24
+ "depth": 1.0,
25
+ "width": 0.19223636388778687,
26
+ "length": 0.426025390625,
27
+ "height": 0.020556628704071045
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_9.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_0.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Determine how many meters separate the camera from the center of the mouse pad (red point). Calculate or judge based on the 3D center points of these objects. Provide a single number.",
4
+ "answer": "1.06",
5
+ "camera_name": "rand_050",
6
+ "camera_position": [
7
+ 0.06765155486661747,
8
+ -0.45743608977962,
9
+ -0.3064353909032791
10
+ ],
11
+ "camera_look_at": [
12
+ 1.0232846757529477,
13
+ -0.7104275507498727,
14
+ -0.5578461780631182
15
+ ],
16
+ "object": {
17
+ "label": "mouse pad",
18
+ "id": "mouse pad_0",
19
+ "centroid": [
20
+ 1.0560425519943237,
21
+ -0.7376662492752075,
22
+ -0.5779052674770355
23
+ ],
24
+ "distance": 1.0626107468781756,
25
+ "width": 0.19223636388778687,
26
+ "length": 0.426025390625,
27
+ "height": 0.020556628704071045
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_0.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_1.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "What is the spatial distance from the observer to the monitor (red point) in meters? Calculate or judge based on the 3D center points of these objects. Reply with a number.",
4
+ "answer": "1.41",
5
+ "camera_name": "rand_042",
6
+ "camera_position": [
7
+ 0.24214456997033484,
8
+ 0.41904494826729943,
9
+ 0.027027994953520373
10
+ ],
11
+ "camera_look_at": [
12
+ -0.007394236382600616,
13
+ -0.9478861192154076,
14
+ -0.17121486553222642
15
+ ],
16
+ "object": {
17
+ "label": "monitor",
18
+ "id": "monitor_0",
19
+ "centroid": [
20
+ -0.0012328083394095302,
21
+ -0.9569400548934937,
22
+ -0.1402587890625
23
+ ],
24
+ "distance": 1.4073209105611821,
25
+ "width": 1.9539746046066284,
26
+ "length": 0.070068359375,
27
+ "height": 0.582763671875
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_1.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_2.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Estimate the 3D distance in meters between the camera and the blind (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "2.46",
5
+ "camera_name": "rand_024",
6
+ "camera_position": [
7
+ 0.0842039620147993,
8
+ -0.40016286024231107,
9
+ -0.20176703516725825
10
+ ],
11
+ "camera_look_at": [
12
+ -0.5229420714088127,
13
+ 1.956492345900902,
14
+ -0.32706008520282215
15
+ ],
16
+ "object": {
17
+ "label": "blind",
18
+ "id": "blind_1",
19
+ "centroid": [
20
+ -0.46875548362731934,
21
+ 1.961983323097229,
22
+ 0.1754319667816162
23
+ ],
24
+ "distance": 2.455153320479522,
25
+ "width": 1.2409326136112213,
26
+ "length": 1.1523098945617676,
27
+ "height": 1.0505032539367676
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_2.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_3.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Estimate the 3D distance in meters between the camera and the mouse pad (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "1.02",
5
+ "camera_name": "rand_030",
6
+ "camera_position": [
7
+ 0.2837491008399923,
8
+ -0.49784324909757205,
9
+ 0.04397967642421863
10
+ ],
11
+ "camera_look_at": [
12
+ 1.735712713011316,
13
+ 0.06567747043460037,
14
+ -0.9313869494485372
15
+ ],
16
+ "object": {
17
+ "label": "mouse pad",
18
+ "id": "mouse pad_0",
19
+ "centroid": [
20
+ 1.0560425519943237,
21
+ -0.7376662492752075,
22
+ -0.5779052674770355
23
+ ],
24
+ "distance": 1.0201436808416429,
25
+ "width": 0.19223636388778687,
26
+ "length": 0.426025390625,
27
+ "height": 0.020556628704071045
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_3.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_4.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "What is the total distance in meters from the person who captured the image to the center of monitor (red point)? Calculate or judge based on the 3D center points of these objects. Answer using a single number and nothing else.",
4
+ "answer": "1.46",
5
+ "camera_name": "rand_032",
6
+ "camera_position": [
7
+ 0.5977858450260137,
8
+ 0.3596144553444441,
9
+ 0.048018140865735415
10
+ ],
11
+ "camera_look_at": [
12
+ 0.10483839193953037,
13
+ -0.9474599418553152,
14
+ -0.11873451127049856
15
+ ],
16
+ "object": {
17
+ "label": "monitor",
18
+ "id": "monitor_0",
19
+ "centroid": [
20
+ -0.0012328083394095302,
21
+ -0.9569400548934937,
22
+ -0.1402587890625
23
+ ],
24
+ "distance": 1.4586251498759997,
25
+ "width": 1.9539746046066284,
26
+ "length": 0.070068359375,
27
+ "height": 0.582763671875
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_4.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_5.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "What is the straight-line distance from the camera to the telephone (red point) in meters? Calculate or judge based on the 3D center points of these objects. Give a numerical answer.",
4
+ "answer": "0.93",
5
+ "camera_name": "rand_017",
6
+ "camera_position": [
7
+ 0.16292170465354047,
8
+ -0.1803254468726544,
9
+ 0.0018699105688757545
10
+ ],
11
+ "camera_look_at": [
12
+ -0.028869542591400343,
13
+ -1.0055954394653686,
14
+ -0.12390001358316682
15
+ ],
16
+ "object": {
17
+ "label": "telephone",
18
+ "id": "telephone_0",
19
+ "centroid": [
20
+ -0.005527956411242485,
21
+ -0.9169309735298157,
22
+ -0.53173828125
23
+ ],
24
+ "distance": 0.925040914009172,
25
+ "width": 0.36328125,
26
+ "length": 0.45461416244506836,
27
+ "height": 0.07861328125
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_5.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_6.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "How many meters is the blind (red point) from the image capture point? Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "2.13",
5
+ "camera_name": "rand_037",
6
+ "camera_position": [
7
+ 0.10150780476781172,
8
+ 0.02374753523435258,
9
+ -0.4840745829933485
10
+ ],
11
+ "camera_look_at": [
12
+ -0.4799009725764082,
13
+ 1.9455498501802273,
14
+ -0.5865154012588805
15
+ ],
16
+ "object": {
17
+ "label": "blind",
18
+ "id": "blind_1",
19
+ "centroid": [
20
+ -0.46875548362731934,
21
+ 1.961983323097229,
22
+ 0.1754319667816162
23
+ ],
24
+ "distance": 2.125301643682546,
25
+ "width": 1.2409326136112213,
26
+ "length": 1.1523098945617676,
27
+ "height": 1.0505032539367676
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_6.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_7.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Calculate the Euclidean distance in meters from the viewpoint to the chair (red point). Calculate or judge based on the 3D center points of these objects. Answer with a number only.",
4
+ "answer": "1.71",
5
+ "camera_name": "rand_010",
6
+ "camera_position": [
7
+ 0.11299248546388732,
8
+ -0.08291310709122279,
9
+ -0.15374661172889237
10
+ ],
11
+ "camera_look_at": [
12
+ -0.5368216980914293,
13
+ 1.985278957051397,
14
+ -0.24109091440049474
15
+ ],
16
+ "object": {
17
+ "label": "chair",
18
+ "id": "chair_0",
19
+ "centroid": [
20
+ 0.6987492442131042,
21
+ 1.5137739181518555,
22
+ -0.3654223643243313
23
+ ],
24
+ "distance": 1.7138631979352448,
25
+ "width": 0.9262499809265137,
26
+ "length": 0.615478515625,
27
+ "height": 0.8541162088513374
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_7.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_8.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Estimate the 3D distance in meters between the camera and the chair (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "1.38",
5
+ "camera_name": "rand_018",
6
+ "camera_position": [
7
+ 0.700824221602995,
8
+ 0.1305082714101073,
9
+ -0.3908659291928722
10
+ ],
11
+ "camera_look_at": [
12
+ 0.7024331578471824,
13
+ 1.4783754691188937,
14
+ -0.48166133798313054
15
+ ],
16
+ "object": {
17
+ "label": "chair",
18
+ "id": "chair_0",
19
+ "centroid": [
20
+ 0.6987492442131042,
21
+ 1.5137739181518555,
22
+ -0.3654223643243313
23
+ ],
24
+ "distance": 1.3835011853917056,
25
+ "width": 0.9262499809265137,
26
+ "length": 0.615478515625,
27
+ "height": 0.8541162088513374
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_8.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/002_distance_estimation/question_9.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "distance_estimation",
3
+ "question": "Estimate the 3D distance in meters between the camera and the telephone (red point). Calculate or judge based on the 3D center points of these objects. Respond with only a number.",
4
+ "answer": "1.29",
5
+ "camera_name": "rand_012",
6
+ "camera_position": [
7
+ 0.8509640905453643,
8
+ -0.02474083973435011,
9
+ -0.1516090648928703
10
+ ],
11
+ "camera_look_at": [
12
+ 0.011997793848944838,
13
+ -0.19772312129819455,
14
+ -0.5917954160146169
15
+ ],
16
+ "object": {
17
+ "label": "telephone",
18
+ "id": "telephone_0",
19
+ "centroid": [
20
+ -0.005527956411242485,
21
+ -0.9169309735298157,
22
+ -0.53173828125
23
+ ],
24
+ "distance": 1.2938624665976575,
25
+ "width": 0.36328125,
26
+ "length": 0.45461416244506836,
27
+ "height": 0.07861328125
28
+ },
29
+ "scene_id": "0211_txt_99bc40460ea4",
30
+ "layout_path": null,
31
+ "image_path": "question_image_9.jpg"
32
+ }
0211_txt_99bc40460ea4/tasks/003_object_distance/question_0.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_distance",
3
+ "question": "What is the distance in meters between the centers of chair (blue point) and blind (red point)? Calculate or judge based on the 3D center points of these objects. State a single number.",
4
+ "answer": "1.36",
5
+ "camera_name": "rand_001",
6
+ "camera_position": [
7
+ -0.0457234742696275,
8
+ 0.032302338822594145,
9
+ 0.20338020220603759
10
+ ],
11
+ "camera_look_at": [
12
+ 0.6955953504115127,
13
+ 2.2465071813957946,
14
+ -0.4744040345226216
15
+ ],
16
+ "blue": {
17
+ "circle_color": "blue",
18
+ "label": "chair",
19
+ "id": "chair_0",
20
+ "centroid": [
21
+ 0.6987492442131042,
22
+ 1.5137739181518555,
23
+ -0.3654223643243313
24
+ ],
25
+ "distance_to_camera": 1.7528645208962783,
26
+ "width": 0.9262499809265137,
27
+ "length": 0.615478515625,
28
+ "height": 0.8541162088513374
29
+ },
30
+ "red": {
31
+ "circle_color": "red",
32
+ "label": "blind",
33
+ "id": "blind_1",
34
+ "centroid": [
35
+ -0.46875548362731934,
36
+ 1.961983323097229,
37
+ 0.1754319667816162
38
+ ],
39
+ "distance_to_camera": 1.9757038963052305,
40
+ "width": 1.2409326136112213,
41
+ "length": 1.1523098945617676,
42
+ "height": 1.0505032539367676
43
+ },
44
+ "scene_id": "0211_txt_99bc40460ea4",
45
+ "layout_path": null,
46
+ "image_path": "question_image_0.jpg"
47
+ }
0211_txt_99bc40460ea4/tasks/003_object_distance/question_1.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_distance",
3
+ "question": "Estimate the 3D Euclidean distance between chair (blue point) and blind (red point) in meters. Calculate or judge based on the 3D center points of these objects. Answer with one number.",
4
+ "answer": "1.36",
5
+ "camera_name": "rand_033",
6
+ "camera_position": [
7
+ 0.354735532183895,
8
+ -0.14868462123736723,
9
+ 0.21965950656318656
10
+ ],
11
+ "camera_look_at": [
12
+ 0.7100390709801502,
13
+ 1.5161248492170694,
14
+ -0.3557687238989269
15
+ ],
16
+ "blue": {
17
+ "circle_color": "blue",
18
+ "label": "chair",
19
+ "id": "chair_0",
20
+ "centroid": [
21
+ 0.6987492442131042,
22
+ 1.5137739181518555,
23
+ -0.3654223643243313
24
+ ],
25
+ "distance_to_camera": 1.7956710792607595,
26
+ "width": 0.9262499809265137,
27
+ "length": 0.615478515625,
28
+ "height": 0.8541162088513374
29
+ },
30
+ "red": {
31
+ "circle_color": "red",
32
+ "label": "blind",
33
+ "id": "blind_1",
34
+ "centroid": [
35
+ -0.46875548362731934,
36
+ 1.961983323097229,
37
+ 0.1754319667816162
38
+ ],
39
+ "distance_to_camera": 2.2660566408716587,
40
+ "width": 1.2409326136112213,
41
+ "length": 1.1523098945617676,
42
+ "height": 1.0505032539367676
43
+ },
44
+ "scene_id": "0211_txt_99bc40460ea4",
45
+ "layout_path": null,
46
+ "image_path": "question_image_1.jpg"
47
+ }
0211_txt_99bc40460ea4/tasks/003_object_distance/question_2.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_distance",
3
+ "question": "Report the Euclidean distance in meters from mouse pad (blue point) to monitor (red point). Calculate or judge based on the 3D center points of these objects. Provide only the numerical value.",
4
+ "answer": "1.17",
5
+ "camera_name": "view_001",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ 4.829628944396973,
13
+ -8.36516284942627,
14
+ -2.5881905555725098
15
+ ],
16
+ "blue": {
17
+ "circle_color": "blue",
18
+ "label": "mouse pad",
19
+ "id": "mouse pad_0",
20
+ "centroid": [
21
+ 1.0560425519943237,
22
+ -0.7376662492752075,
23
+ -0.5779052674770355
24
+ ],
25
+ "distance_to_camera": 1.4118611352113,
26
+ "width": 0.19223636388778687,
27
+ "length": 0.426025390625,
28
+ "height": 0.020556628704071045
29
+ },
30
+ "red": {
31
+ "circle_color": "red",
32
+ "label": "monitor",
33
+ "id": "monitor_0",
34
+ "centroid": [
35
+ -0.0012328083394095302,
36
+ -0.9569400548934937,
37
+ -0.1402587890625
38
+ ],
39
+ "distance_to_camera": 0.967165092621339,
40
+ "width": 1.9539746046066284,
41
+ "length": 0.070068359375,
42
+ "height": 0.582763671875
43
+ },
44
+ "scene_id": "0211_txt_99bc40460ea4",
45
+ "layout_path": null,
46
+ "image_path": "question_image_2.jpg"
47
+ }
0211_txt_99bc40460ea4/tasks/003_object_distance/question_3.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_distance",
3
+ "question": "Determine the spatial distance in meters separating telephone (blue point) from mouse pad (red point). Calculate or judge based on the 3D center points of these objects. Answer numerically.",
4
+ "answer": "1.08",
5
+ "camera_name": "rand_048",
6
+ "camera_position": [
7
+ -0.3145212201306053,
8
+ 0.060066762638231075,
9
+ 0.3214644863809868
10
+ ],
11
+ "camera_look_at": [
12
+ 0.9781510878664131,
13
+ -0.7002702946950707,
14
+ -0.6019173639696402
15
+ ],
16
+ "blue": {
17
+ "circle_color": "blue",
18
+ "label": "telephone",
19
+ "id": "telephone_0",
20
+ "centroid": [
21
+ -0.005527956411242485,
22
+ -0.9169309735298157,
23
+ -0.53173828125
24
+ ],
25
+ "distance_to_camera": 1.3334003060576398,
26
+ "width": 0.36328125,
27
+ "length": 0.45461416244506836,
28
+ "height": 0.07861328125
29
+ },
30
+ "red": {
31
+ "circle_color": "red",
32
+ "label": "mouse pad",
33
+ "id": "mouse pad_0",
34
+ "centroid": [
35
+ 1.0560425519943237,
36
+ -0.7376662492752075,
37
+ -0.5779052674770355
38
+ ],
39
+ "distance_to_camera": 1.8230987263207774,
40
+ "width": 0.19223636388778687,
41
+ "length": 0.426025390625,
42
+ "height": 0.020556628704071045
43
+ },
44
+ "scene_id": "0211_txt_99bc40460ea4",
45
+ "layout_path": null,
46
+ "image_path": "question_image_3.jpg"
47
+ }
0211_txt_99bc40460ea4/tasks/003_object_distance/question_4.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "object_distance",
3
+ "question": "How many meters separate monitor (blue point) and mouse pad (red point)? Calculate or judge based on the 3D center points of these objects. Reply with a number only.",
4
+ "answer": "1.17",
5
+ "camera_name": "view_001",
6
+ "camera_position": [
7
+ -0.0,
8
+ -0.0,
9
+ 0.0
10
+ ],
11
+ "camera_look_at": [
12
+ 4.829628944396973,
13
+ -8.36516284942627,
14
+ -2.5881905555725098
15
+ ],
16
+ "blue": {
17
+ "circle_color": "blue",
18
+ "label": "monitor",
19
+ "id": "monitor_0",
20
+ "centroid": [
21
+ -0.0012328083394095302,
22
+ -0.9569400548934937,
23
+ -0.1402587890625
24
+ ],
25
+ "distance_to_camera": 0.967165092621339,
26
+ "width": 1.9539746046066284,
27
+ "length": 0.070068359375,
28
+ "height": 0.582763671875
29
+ },
30
+ "red": {
31
+ "circle_color": "red",
32
+ "label": "mouse pad",
33
+ "id": "mouse pad_0",
34
+ "centroid": [
35
+ 1.0560425519943237,
36
+ -0.7376662492752075,
37
+ -0.5779052674770355
38
+ ],
39
+ "distance_to_camera": 1.4118611352113,
40
+ "width": 0.19223636388778687,
41
+ "length": 0.426025390625,
42
+ "height": 0.020556628704071045
43
+ },
44
+ "scene_id": "0211_txt_99bc40460ea4",
45
+ "layout_path": null,
46
+ "image_path": "question_image_4.jpg"
47
+ }
0211_txt_99bc40460ea4/tasks/004_relative_direction/question_image_0.jpg ADDED

Git LFS Details

  • SHA256: c862b7a8d8f65beb3b3f724ffc5c9e39851f705bc6278fc7ea789ecf1715cf97
  • Pointer size: 131 Bytes
  • Size of remote file: 173 kB
0211_txt_99bc40460ea4/tasks/004_relative_direction/question_image_1.jpg ADDED

Git LFS Details

  • SHA256: bbb0dbdecd95e646e61fe3d55e62dff5837a740f5c782c81bb8959d25ed1fa95
  • Pointer size: 131 Bytes
  • Size of remote file: 235 kB
0211_txt_99bc40460ea4/tasks/004_relative_direction/question_image_2.jpg ADDED

Git LFS Details

  • SHA256: 3cf99fdaf22ecb25a727a77bbc7f6e2008915f4c7823a1742d0eaf15337249e0
  • Pointer size: 131 Bytes
  • Size of remote file: 171 kB
0211_txt_99bc40460ea4/tasks/004_relative_direction/question_image_3.jpg ADDED

Git LFS Details

  • SHA256: 78ef9521ad9e769f7de9892592c27df1756fee143d83a386efb7b6513cfeafd6
  • Pointer size: 131 Bytes
  • Size of remote file: 173 kB
0211_txt_99bc40460ea4/tasks/004_relative_direction/question_image_4.jpg ADDED

Git LFS Details

  • SHA256: 4906f03667c113433921541068a6824c622cc93a91f3730ee36a615348902f47
  • Pointer size: 131 Bytes
  • Size of remote file: 124 kB
0211_txt_99bc40460ea4/tasks/004_relative_direction/question_image_5.jpg ADDED

Git LFS Details

  • SHA256: 4906f03667c113433921541068a6824c622cc93a91f3730ee36a615348902f47
  • Pointer size: 131 Bytes
  • Size of remote file: 124 kB
0211_txt_99bc40460ea4/tasks/005_camera_object_position/question_0.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_object_position",
3
+ "question": "Relative to the camera's forward direction, where is blind (bbox)? Calculate or judge based on the 3D center points of these objects. Select the appropriate choice.",
4
+ "choices": [
5
+ "A. , above, behind",
6
+ "B. right, , ",
7
+ "C. left, , front",
8
+ "D. left, above, "
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "rand_015",
12
+ "camera_position": [
13
+ 0.01834993559674125,
14
+ -0.36559440082729266,
15
+ 0.16818724111401773
16
+ ],
17
+ "camera_look_at": [
18
+ 0.6198371273727699,
19
+ 1.5393207227448404,
20
+ -0.35947610918082806
21
+ ],
22
+ "object": {
23
+ "label": "blind",
24
+ "id": "blind_1",
25
+ "centroid": [
26
+ -0.46875548362731934,
27
+ 1.961983323097229,
28
+ 0.1754319667816162
29
+ ],
30
+ "image_u": 0.165,
31
+ "image_v": 0.226,
32
+ "width": 1.2409326136112213,
33
+ "length": 1.1523098945617676,
34
+ "height": 1.0505032539367676
35
+ },
36
+ "scene_id": "0211_txt_99bc40460ea4",
37
+ "layout_path": null,
38
+ "image_path": "question_image_0.jpg"
39
+ }
0211_txt_99bc40460ea4/tasks/005_camera_object_position/question_1.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_object_position",
3
+ "question": "Determine where telephone (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.",
4
+ "choices": [
5
+ "A. , below, behind",
6
+ "B. left, below, behind",
7
+ "C. left, below, front",
8
+ "D. , above, behind"
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "rand_056",
12
+ "camera_position": [
13
+ 0.3216909991138849,
14
+ 0.058718672032051444,
15
+ 0.28903326293639986
16
+ ],
17
+ "camera_look_at": [
18
+ 0.010887588702600537,
19
+ -0.12412583666354982,
20
+ -0.6480777683573484
21
+ ],
22
+ "object": {
23
+ "label": "telephone",
24
+ "id": "telephone_0",
25
+ "centroid": [
26
+ -0.005527956411242485,
27
+ -0.9169309735298157,
28
+ -0.53173828125
29
+ ],
30
+ "image_u": 0.128,
31
+ "image_v": 0.079,
32
+ "width": 0.36328125,
33
+ "length": 0.45461416244506836,
34
+ "height": 0.07861328125
35
+ },
36
+ "scene_id": "0211_txt_99bc40460ea4",
37
+ "layout_path": null,
38
+ "image_path": "question_image_1.jpg"
39
+ }
0211_txt_99bc40460ea4/tasks/005_camera_object_position/question_10.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_object_position",
3
+ "question": "Relative to the camera's forward direction, where is mouse pad (bbox)? Calculate or judge based on the 3D center points of these objects. Select the appropriate choice.",
4
+ "choices": [
5
+ "A. , below, ",
6
+ "B. right, below, front",
7
+ "C. , above, behind",
8
+ "D. , , front"
9
+ ],
10
+ "answer": "B",
11
+ "camera_name": "rand_025",
12
+ "camera_position": [
13
+ -0.15007838879432586,
14
+ -0.19725858805162266,
15
+ -0.3657322710866515
16
+ ],
17
+ "camera_look_at": [
18
+ 1.7040539166473179,
19
+ -0.012015848193837497,
20
+ -1.3428069083782113
21
+ ],
22
+ "object": {
23
+ "label": "mouse pad",
24
+ "id": "mouse pad_0",
25
+ "centroid": [
26
+ 1.0560425519943237,
27
+ -0.7376662492752075,
28
+ -0.5779052674770355
29
+ ],
30
+ "image_u": 0.84,
31
+ "image_v": 0.184,
32
+ "width": 0.19223636388778687,
33
+ "length": 0.426025390625,
34
+ "height": 0.020556628704071045
35
+ },
36
+ "scene_id": "0211_txt_99bc40460ea4",
37
+ "layout_path": null,
38
+ "image_path": "question_image_10.jpg"
39
+ }
0211_txt_99bc40460ea4/tasks/005_camera_object_position/question_11.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_object_position",
3
+ "question": "How is monitor (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.",
4
+ "choices": [
5
+ "A. right, , front",
6
+ "B. , above, ",
7
+ "C. left, below, front",
8
+ "D. left, , front"
9
+ ],
10
+ "answer": "D",
11
+ "camera_name": "rand_012",
12
+ "camera_position": [
13
+ 0.8509640905453643,
14
+ -0.02474083973435011,
15
+ -0.1516090648928703
16
+ ],
17
+ "camera_look_at": [
18
+ 0.011997793848944838,
19
+ -0.19772312129819455,
20
+ -0.5917954160146169
21
+ ],
22
+ "object": {
23
+ "label": "monitor",
24
+ "id": "monitor_0",
25
+ "centroid": [
26
+ -0.0012328083394095302,
27
+ -0.9569400548934937,
28
+ -0.1402587890625
29
+ ],
30
+ "image_u": 0.029,
31
+ "image_v": -0.04,
32
+ "width": 1.9539746046066284,
33
+ "length": 0.070068359375,
34
+ "height": 0.582763671875
35
+ },
36
+ "scene_id": "0211_txt_99bc40460ea4",
37
+ "layout_path": null,
38
+ "image_path": "question_image_11.jpg"
39
+ }
0211_txt_99bc40460ea4/tasks/005_camera_object_position/question_2.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_object_position",
3
+ "question": "From the observer's perspective, in which part of the view is blind (bbox) positioned? Calculate or judge based on the 3D center points of these objects. Pick the right option.",
4
+ "choices": [
5
+ "A. left, , ",
6
+ "B. , above, behind",
7
+ "C. left, , front",
8
+ "D. left, above, "
9
+ ],
10
+ "answer": "C",
11
+ "camera_name": "rand_033",
12
+ "camera_position": [
13
+ 0.354735532183895,
14
+ -0.14868462123736723,
15
+ 0.21965950656318656
16
+ ],
17
+ "camera_look_at": [
18
+ 0.7100390709801502,
19
+ 1.5161248492170694,
20
+ -0.3557687238989269
21
+ ],
22
+ "object": {
23
+ "label": "blind",
24
+ "id": "blind_1",
25
+ "centroid": [
26
+ -0.46875548362731934,
27
+ 1.961983323097229,
28
+ 0.1754319667816162
29
+ ],
30
+ "image_u": 0.103,
31
+ "image_v": 0.181,
32
+ "width": 1.2409326136112213,
33
+ "length": 1.1523098945617676,
34
+ "height": 1.0505032539367676
35
+ },
36
+ "scene_id": "0211_txt_99bc40460ea4",
37
+ "layout_path": null,
38
+ "image_path": "question_image_2.jpg"
39
+ }
0211_txt_99bc40460ea4/tasks/005_camera_object_position/question_3.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "type": "camera_object_position",
3
+ "question": "In which region of the observer's field of view does outlet (bbox) appear? Calculate or judge based on the 3D center points of these objects. Choose from the options.",
4
+ "choices": [
5
+ "A. left, below, front",
6
+ "B. left, above, ",
7
+ "C. right, above, ",
8
+ "D. left, below, "
9
+ ],
10
+ "answer": "A",
11
+ "camera_name": "rand_046",
12
+ "camera_position": [
13
+ 0.24084053545444628,
14
+ 0.10159624825203892,
15
+ -0.03489204801520307
16
+ ],
17
+ "camera_look_at": [
18
+ 1.0477885295843032,
19
+ -0.6863166934582026,
20
+ -0.5635299705648076
21
+ ],
22
+ "object": {
23
+ "label": "outlet",
24
+ "id": "outlet_0",
25
+ "centroid": [
26
+ 1.732682228088379,
27
+ 0.003500426886603236,
28
+ -1.3385009765625
29
+ ],
30
+ "image_u": 0.147,
31
+ "image_v": 0.951,
32
+ "width": 0.026123046875,
33
+ "length": 0.1396484375,
34
+ "height": 0.174072265625
35
+ },
36
+ "scene_id": "0211_txt_99bc40460ea4",
37
+ "layout_path": null,
38
+ "image_path": "question_image_3.jpg"
39
+ }