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_000482_02_1
|
kitchen
|
scene_000482
| 2
| 1
|
train
|
scene_000482_02_2
|
kitchen
|
scene_000482
| 2
| 2
|
train
|
scene_000482_02_3
|
kitchen
|
scene_000482
| 2
| 3
|
train
|
scene_000483_00_0
|
living room
|
scene_000483
| 0
| 0
|
train
|
scene_000483_00_1
|
living room
|
scene_000483
| 0
| 1
|
train
|
scene_000483_00_2
|
living room
|
scene_000483
| 0
| 2
|
train
|
scene_000483_00_3
|
living room
|
scene_000483
| 0
| 3
|
train
|
scene_000483_01_0
|
kitchen
|
scene_000483
| 1
| 0
|
train
|
scene_000483_01_1
|
kitchen
|
scene_000483
| 1
| 1
|
train
|
scene_000483_01_2
|
kitchen
|
scene_000483
| 1
| 2
|
train
|
scene_000483_01_3
|
kitchen
|
scene_000483
| 1
| 3
|
train
|
scene_000484_00_0
|
bedroom
|
scene_000484
| 0
| 0
|
train
|
scene_000484_00_1
|
bedroom
|
scene_000484
| 0
| 1
|
train
|
scene_000484_00_2
|
bedroom
|
scene_000484
| 0
| 2
|
train
|
scene_000484_00_3
|
bedroom
|
scene_000484
| 0
| 3
|
train
|
scene_000484_01_0
|
living and dining room
|
scene_000484
| 1
| 0
|
train
|
scene_000484_01_1
|
living and dining room
|
scene_000484
| 1
| 1
|
train
|
scene_000484_01_2
|
living and dining room
|
scene_000484
| 1
| 2
|
train
|
scene_000484_01_3
|
living and dining room
|
scene_000484
| 1
| 3
|
train
|
scene_000485_00_0
|
living room
|
scene_000485
| 0
| 0
|
train
|
scene_000485_00_1
|
living room
|
scene_000485
| 0
| 1
|
train
|
scene_000485_00_2
|
living room
|
scene_000485
| 0
| 2
|
train
|
scene_000485_00_3
|
living room
|
scene_000485
| 0
| 3
|
train
|
scene_000485_01_0
|
bathroom
|
scene_000485
| 1
| 0
|
train
|
scene_000485_01_1
|
bathroom
|
scene_000485
| 1
| 1
|
train
|
scene_000485_01_2
|
bathroom
|
scene_000485
| 1
| 2
|
train
|
scene_000485_01_3
|
bathroom
|
scene_000485
| 1
| 3
|
train
|
scene_000486_00_0
|
balcony
|
scene_000486
| 0
| 0
|
train
|
scene_000486_00_1
|
balcony
|
scene_000486
| 0
| 1
|
train
|
scene_000486_00_2
|
balcony
|
scene_000486
| 0
| 2
|
train
|
scene_000486_00_3
|
balcony
|
scene_000486
| 0
| 3
|
train
|
scene_000486_01_0
|
living and dining room
|
scene_000486
| 1
| 0
|
train
|
scene_000486_01_1
|
living and dining room
|
scene_000486
| 1
| 1
|
train
|
scene_000486_01_2
|
living and dining room
|
scene_000486
| 1
| 2
|
train
|
scene_000486_01_3
|
living and dining room
|
scene_000486
| 1
| 3
|
train
|
scene_000486_02_0
|
kitchen
|
scene_000486
| 2
| 0
|
train
|
scene_000486_02_1
|
kitchen
|
scene_000486
| 2
| 1
|
train
|
scene_000486_02_2
|
kitchen
|
scene_000486
| 2
| 2
|
train
|
scene_000486_02_3
|
kitchen
|
scene_000486
| 2
| 3
|
train
|
scene_000487_00_0
|
bathroom
|
scene_000487
| 0
| 0
|
train
|
scene_000487_00_1
|
bathroom
|
scene_000487
| 0
| 1
|
train
|
scene_000487_00_2
|
bathroom
|
scene_000487
| 0
| 2
|
train
|
scene_000487_00_3
|
bathroom
|
scene_000487
| 0
| 3
|
train
|
scene_000487_01_0
|
kitchen
|
scene_000487
| 1
| 0
|
train
|
scene_000487_01_1
|
kitchen
|
scene_000487
| 1
| 1
|
train
|
scene_000487_01_2
|
kitchen
|
scene_000487
| 1
| 2
|
train
|
scene_000487_01_3
|
kitchen
|
scene_000487
| 1
| 3
|
train
|
scene_000487_02_0
|
bathroom
|
scene_000487
| 2
| 0
|
train
|
scene_000487_02_1
|
bathroom
|
scene_000487
| 2
| 1
|
train
|
scene_000487_02_2
|
bathroom
|
scene_000487
| 2
| 2
|
train
|
scene_000487_02_3
|
bathroom
|
scene_000487
| 2
| 3
|
train
|
scene_000487_03_0
|
bedroom
|
scene_000487
| 3
| 0
|
train
|
scene_000487_03_1
|
bedroom
|
scene_000487
| 3
| 1
|
train
|
scene_000487_03_2
|
bedroom
|
scene_000487
| 3
| 2
|
train
|
scene_000487_03_3
|
bedroom
|
scene_000487
| 3
| 3
|
train
|
scene_000488_00_0
|
living room
|
scene_000488
| 0
| 0
|
train
|
scene_000488_00_1
|
living room
|
scene_000488
| 0
| 1
|
train
|
scene_000488_00_2
|
living room
|
scene_000488
| 0
| 2
|
train
|
scene_000488_00_3
|
living room
|
scene_000488
| 0
| 3
|
train
|
scene_000488_01_0
|
living room
|
scene_000488
| 1
| 0
|
train
|
scene_000488_01_1
|
living room
|
scene_000488
| 1
| 1
|
train
|
scene_000488_01_2
|
living room
|
scene_000488
| 1
| 2
|
train
|
scene_000488_01_3
|
living room
|
scene_000488
| 1
| 3
|
train
|
scene_000488_02_0
|
home office
|
scene_000488
| 2
| 0
|
train
|
scene_000488_02_1
|
home office
|
scene_000488
| 2
| 1
|
train
|
scene_000488_02_2
|
home office
|
scene_000488
| 2
| 2
|
train
|
scene_000488_02_3
|
home office
|
scene_000488
| 2
| 3
|
train
|
scene_000489_00_0
|
living room
|
scene_000489
| 0
| 0
|
train
|
scene_000489_00_1
|
living room
|
scene_000489
| 0
| 1
|
train
|
scene_000489_00_2
|
living room
|
scene_000489
| 0
| 2
|
train
|
scene_000489_00_3
|
living room
|
scene_000489
| 0
| 3
|
train
|
scene_000489_01_0
|
dining room
|
scene_000489
| 1
| 0
|
train
|
scene_000489_01_1
|
dining room
|
scene_000489
| 1
| 1
|
train
|
scene_000489_01_2
|
dining room
|
scene_000489
| 1
| 2
|
train
|
scene_000489_01_3
|
dining room
|
scene_000489
| 1
| 3
|
train
|
scene_000490_00_0
|
laundry room
|
scene_000490
| 0
| 0
|
train
|
scene_000490_00_1
|
laundry room
|
scene_000490
| 0
| 1
|
train
|
scene_000490_00_2
|
laundry room
|
scene_000490
| 0
| 2
|
train
|
scene_000490_00_3
|
laundry room
|
scene_000490
| 0
| 3
|
train
|
scene_000490_01_0
|
kitchen
|
scene_000490
| 1
| 0
|
train
|
scene_000490_01_1
|
kitchen
|
scene_000490
| 1
| 1
|
train
|
scene_000490_01_2
|
kitchen
|
scene_000490
| 1
| 2
|
train
|
scene_000490_01_3
|
kitchen
|
scene_000490
| 1
| 3
|
train
|
scene_000490_02_0
|
bathroom
|
scene_000490
| 2
| 0
|
train
|
scene_000490_02_1
|
bathroom
|
scene_000490
| 2
| 1
|
train
|
scene_000490_02_2
|
bathroom
|
scene_000490
| 2
| 2
|
train
|
scene_000490_02_3
|
bathroom
|
scene_000490
| 2
| 3
|
train
|
scene_000490_03_0
|
living room with dining area
|
scene_000490
| 3
| 0
|
train
|
scene_000490_03_1
|
living room with dining area
|
scene_000490
| 3
| 1
|
train
|
scene_000490_03_2
|
living room with dining area
|
scene_000490
| 3
| 2
|
train
|
scene_000490_03_3
|
living room with dining area
|
scene_000490
| 3
| 3
|
train
|
scene_000490_04_0
|
living room
|
scene_000490
| 4
| 0
|
train
|
scene_000490_04_1
|
living room
|
scene_000490
| 4
| 1
|
train
|
scene_000490_04_2
|
living room
|
scene_000490
| 4
| 2
|
train
|
scene_000490_04_3
|
living room
|
scene_000490
| 4
| 3
|
train
|
scene_000491_00_0
|
bathroom
|
scene_000491
| 0
| 0
|
train
|
scene_000491_00_1
|
bathroom
|
scene_000491
| 0
| 1
|
train
|
scene_000491_00_2
|
bathroom
|
scene_000491
| 0
| 2
|
train
|
scene_000491_00_3
|
bathroom
|
scene_000491
| 0
| 3
|
train
|
scene_000491_01_0
|
kitchen
|
scene_000491
| 1
| 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.