id
stringlengths 17
17
| room_type
stringclasses 70
values | scene_id
stringlengths 12
12
| room_id
int64 0
16
| sample
int64 0
3
| split
stringclasses 4
values |
|---|---|---|---|---|---|
scene_000437_01_1
|
bathroom
|
scene_000437
| 1
| 1
|
train
|
scene_000437_01_2
|
bathroom
|
scene_000437
| 1
| 2
|
train
|
scene_000437_01_3
|
bathroom
|
scene_000437
| 1
| 3
|
train
|
scene_000437_02_0
|
living room
|
scene_000437
| 2
| 0
|
train
|
scene_000437_02_1
|
living room
|
scene_000437
| 2
| 1
|
train
|
scene_000437_02_2
|
living room
|
scene_000437
| 2
| 2
|
train
|
scene_000437_02_3
|
living room
|
scene_000437
| 2
| 3
|
train
|
scene_000437_03_0
|
kitchen
|
scene_000437
| 3
| 0
|
train
|
scene_000437_03_1
|
kitchen
|
scene_000437
| 3
| 1
|
train
|
scene_000437_03_2
|
kitchen
|
scene_000437
| 3
| 2
|
train
|
scene_000437_03_3
|
kitchen
|
scene_000437
| 3
| 3
|
train
|
scene_000438_00_0
|
living room with dining area
|
scene_000438
| 0
| 0
|
train
|
scene_000438_00_1
|
living room with dining area
|
scene_000438
| 0
| 1
|
train
|
scene_000438_00_2
|
living room with dining area
|
scene_000438
| 0
| 2
|
train
|
scene_000438_00_3
|
living room with dining area
|
scene_000438
| 0
| 3
|
train
|
scene_000438_01_0
|
balcony
|
scene_000438
| 1
| 0
|
train
|
scene_000438_01_1
|
balcony
|
scene_000438
| 1
| 1
|
train
|
scene_000438_01_2
|
balcony
|
scene_000438
| 1
| 2
|
train
|
scene_000438_01_3
|
balcony
|
scene_000438
| 1
| 3
|
train
|
scene_000438_02_0
|
kitchen
|
scene_000438
| 2
| 0
|
train
|
scene_000438_02_1
|
kitchen
|
scene_000438
| 2
| 1
|
train
|
scene_000438_02_2
|
kitchen
|
scene_000438
| 2
| 2
|
train
|
scene_000438_02_3
|
kitchen
|
scene_000438
| 2
| 3
|
train
|
scene_000439_00_0
|
living room
|
scene_000439
| 0
| 0
|
train
|
scene_000439_00_1
|
living room
|
scene_000439
| 0
| 1
|
train
|
scene_000439_00_2
|
living room
|
scene_000439
| 0
| 2
|
train
|
scene_000439_00_3
|
living room
|
scene_000439
| 0
| 3
|
train
|
scene_000439_01_0
|
office
|
scene_000439
| 1
| 0
|
train
|
scene_000439_01_1
|
office
|
scene_000439
| 1
| 1
|
train
|
scene_000439_01_2
|
office
|
scene_000439
| 1
| 2
|
train
|
scene_000439_01_3
|
office
|
scene_000439
| 1
| 3
|
train
|
scene_000439_02_0
|
laundry room
|
scene_000439
| 2
| 0
|
train
|
scene_000439_02_1
|
laundry room
|
scene_000439
| 2
| 1
|
train
|
scene_000439_02_2
|
laundry room
|
scene_000439
| 2
| 2
|
train
|
scene_000439_02_3
|
laundry room
|
scene_000439
| 2
| 3
|
train
|
scene_000440_00_0
|
living room
|
scene_000440
| 0
| 0
|
train
|
scene_000440_00_1
|
living room
|
scene_000440
| 0
| 1
|
train
|
scene_000440_00_2
|
living room
|
scene_000440
| 0
| 2
|
train
|
scene_000440_00_3
|
living room
|
scene_000440
| 0
| 3
|
train
|
scene_000440_01_0
|
study room
|
scene_000440
| 1
| 0
|
train
|
scene_000440_01_1
|
study room
|
scene_000440
| 1
| 1
|
train
|
scene_000440_01_2
|
study room
|
scene_000440
| 1
| 2
|
train
|
scene_000440_01_3
|
study room
|
scene_000440
| 1
| 3
|
train
|
scene_000441_00_0
|
bathroom
|
scene_000441
| 0
| 0
|
train
|
scene_000441_00_1
|
bathroom
|
scene_000441
| 0
| 1
|
train
|
scene_000441_00_2
|
bathroom
|
scene_000441
| 0
| 2
|
train
|
scene_000441_00_3
|
bathroom
|
scene_000441
| 0
| 3
|
train
|
scene_000441_01_0
|
kitchen
|
scene_000441
| 1
| 0
|
train
|
scene_000441_01_1
|
kitchen
|
scene_000441
| 1
| 1
|
train
|
scene_000441_01_2
|
kitchen
|
scene_000441
| 1
| 2
|
train
|
scene_000441_01_3
|
kitchen
|
scene_000441
| 1
| 3
|
train
|
scene_000441_02_0
|
laundry room
|
scene_000441
| 2
| 0
|
train
|
scene_000441_02_1
|
laundry room
|
scene_000441
| 2
| 1
|
train
|
scene_000441_02_2
|
laundry room
|
scene_000441
| 2
| 2
|
train
|
scene_000441_02_3
|
laundry room
|
scene_000441
| 2
| 3
|
train
|
scene_000441_03_0
|
dining room
|
scene_000441
| 3
| 0
|
train
|
scene_000441_03_1
|
dining room
|
scene_000441
| 3
| 1
|
train
|
scene_000441_03_2
|
dining room
|
scene_000441
| 3
| 2
|
train
|
scene_000441_03_3
|
dining room
|
scene_000441
| 3
| 3
|
train
|
scene_000441_04_0
|
living room
|
scene_000441
| 4
| 0
|
train
|
scene_000441_04_1
|
living room
|
scene_000441
| 4
| 1
|
train
|
scene_000441_04_2
|
living room
|
scene_000441
| 4
| 2
|
train
|
scene_000441_04_3
|
living room
|
scene_000441
| 4
| 3
|
train
|
scene_000442_00_0
|
living room with dining area
|
scene_000442
| 0
| 0
|
train
|
scene_000442_00_1
|
living room with dining area
|
scene_000442
| 0
| 1
|
train
|
scene_000442_00_2
|
living room with dining area
|
scene_000442
| 0
| 2
|
train
|
scene_000442_00_3
|
living room with dining area
|
scene_000442
| 0
| 3
|
train
|
scene_000442_01_0
|
living room
|
scene_000442
| 1
| 0
|
train
|
scene_000442_01_1
|
living room
|
scene_000442
| 1
| 1
|
train
|
scene_000442_01_2
|
living room
|
scene_000442
| 1
| 2
|
train
|
scene_000442_01_3
|
living room
|
scene_000442
| 1
| 3
|
train
|
scene_000442_02_0
|
kitchen
|
scene_000442
| 2
| 0
|
train
|
scene_000442_02_1
|
kitchen
|
scene_000442
| 2
| 1
|
train
|
scene_000442_02_2
|
kitchen
|
scene_000442
| 2
| 2
|
train
|
scene_000442_02_3
|
kitchen
|
scene_000442
| 2
| 3
|
train
|
scene_000443_00_0
|
bedroom
|
scene_000443
| 0
| 0
|
train
|
scene_000443_00_1
|
bedroom
|
scene_000443
| 0
| 1
|
train
|
scene_000443_00_2
|
bedroom
|
scene_000443
| 0
| 2
|
train
|
scene_000443_00_3
|
bedroom
|
scene_000443
| 0
| 3
|
train
|
scene_000444_00_0
|
living room
|
scene_000444
| 0
| 0
|
train
|
scene_000444_00_1
|
living room
|
scene_000444
| 0
| 1
|
train
|
scene_000444_00_2
|
living room
|
scene_000444
| 0
| 2
|
train
|
scene_000444_00_3
|
living room
|
scene_000444
| 0
| 3
|
train
|
scene_000444_01_0
|
home office
|
scene_000444
| 1
| 0
|
train
|
scene_000444_01_1
|
home office
|
scene_000444
| 1
| 1
|
train
|
scene_000444_01_2
|
home office
|
scene_000444
| 1
| 2
|
train
|
scene_000444_01_3
|
home office
|
scene_000444
| 1
| 3
|
train
|
scene_000444_02_0
|
primary bathroom
|
scene_000444
| 2
| 0
|
train
|
scene_000444_02_1
|
primary bathroom
|
scene_000444
| 2
| 1
|
train
|
scene_000444_02_2
|
primary bathroom
|
scene_000444
| 2
| 2
|
train
|
scene_000444_02_3
|
primary bathroom
|
scene_000444
| 2
| 3
|
train
|
scene_000445_00_0
|
kitchen
|
scene_000445
| 0
| 0
|
train
|
scene_000445_00_1
|
kitchen
|
scene_000445
| 0
| 1
|
train
|
scene_000445_00_2
|
kitchen
|
scene_000445
| 0
| 2
|
train
|
scene_000445_00_3
|
kitchen
|
scene_000445
| 0
| 3
|
train
|
scene_000445_01_0
|
living room
|
scene_000445
| 1
| 0
|
train
|
scene_000445_01_1
|
living room
|
scene_000445
| 1
| 1
|
train
|
scene_000445_01_2
|
living room
|
scene_000445
| 1
| 2
|
train
|
scene_000445_01_3
|
living room
|
scene_000445
| 1
| 3
|
train
|
scene_000445_02_0
|
living room
|
scene_000445
| 2
| 0
|
train
|
Subsets and Splits
Sample Selection for Analysis
This query retrieves a limited subset of training data where sample equals 1, providing basic filtering but offering minimal analytical insight beyond raw data access.