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_000474_01_1
|
bathroom
|
scene_000474
| 1
| 1
|
train
|
scene_000474_01_2
|
bathroom
|
scene_000474
| 1
| 2
|
train
|
scene_000474_01_3
|
bathroom
|
scene_000474
| 1
| 3
|
train
|
scene_000474_02_0
|
living room
|
scene_000474
| 2
| 0
|
train
|
scene_000474_02_1
|
living room
|
scene_000474
| 2
| 1
|
train
|
scene_000474_02_2
|
living room
|
scene_000474
| 2
| 2
|
train
|
scene_000474_02_3
|
living room
|
scene_000474
| 2
| 3
|
train
|
scene_000475_00_0
|
living room with dining area
|
scene_000475
| 0
| 0
|
train
|
scene_000475_00_1
|
living room with dining area
|
scene_000475
| 0
| 1
|
train
|
scene_000475_00_2
|
living room with dining area
|
scene_000475
| 0
| 2
|
train
|
scene_000475_00_3
|
living room with dining area
|
scene_000475
| 0
| 3
|
train
|
scene_000476_00_0
|
living room
|
scene_000476
| 0
| 0
|
train
|
scene_000476_00_1
|
living room
|
scene_000476
| 0
| 1
|
train
|
scene_000476_00_2
|
living room
|
scene_000476
| 0
| 2
|
train
|
scene_000476_00_3
|
living room
|
scene_000476
| 0
| 3
|
train
|
scene_000476_01_0
|
balcony
|
scene_000476
| 1
| 0
|
train
|
scene_000476_01_1
|
balcony
|
scene_000476
| 1
| 1
|
train
|
scene_000476_01_2
|
balcony
|
scene_000476
| 1
| 2
|
train
|
scene_000476_01_3
|
balcony
|
scene_000476
| 1
| 3
|
train
|
scene_000476_02_0
|
master bedroom
|
scene_000476
| 2
| 0
|
train
|
scene_000476_02_1
|
master bedroom
|
scene_000476
| 2
| 1
|
train
|
scene_000476_02_2
|
master bedroom
|
scene_000476
| 2
| 2
|
train
|
scene_000476_02_3
|
master bedroom
|
scene_000476
| 2
| 3
|
train
|
scene_000476_03_0
|
bathroom
|
scene_000476
| 3
| 0
|
train
|
scene_000476_03_1
|
bathroom
|
scene_000476
| 3
| 1
|
train
|
scene_000476_03_2
|
bathroom
|
scene_000476
| 3
| 2
|
train
|
scene_000476_03_3
|
bathroom
|
scene_000476
| 3
| 3
|
train
|
scene_000477_00_0
|
living room
|
scene_000477
| 0
| 0
|
train
|
scene_000477_00_1
|
living room
|
scene_000477
| 0
| 1
|
train
|
scene_000477_00_2
|
living room
|
scene_000477
| 0
| 2
|
train
|
scene_000477_00_3
|
living room
|
scene_000477
| 0
| 3
|
train
|
scene_000477_01_0
|
laundry room
|
scene_000477
| 1
| 0
|
train
|
scene_000477_01_1
|
laundry room
|
scene_000477
| 1
| 1
|
train
|
scene_000477_01_2
|
laundry room
|
scene_000477
| 1
| 2
|
train
|
scene_000477_01_3
|
laundry room
|
scene_000477
| 1
| 3
|
train
|
scene_000477_02_0
|
bathroom
|
scene_000477
| 2
| 0
|
train
|
scene_000477_02_1
|
bathroom
|
scene_000477
| 2
| 1
|
train
|
scene_000477_02_2
|
bathroom
|
scene_000477
| 2
| 2
|
train
|
scene_000477_02_3
|
bathroom
|
scene_000477
| 2
| 3
|
train
|
scene_000478_00_0
|
bathroom
|
scene_000478
| 0
| 0
|
train
|
scene_000478_00_1
|
bathroom
|
scene_000478
| 0
| 1
|
train
|
scene_000478_00_2
|
bathroom
|
scene_000478
| 0
| 2
|
train
|
scene_000478_00_3
|
bathroom
|
scene_000478
| 0
| 3
|
train
|
scene_000478_01_0
|
laundry room
|
scene_000478
| 1
| 0
|
train
|
scene_000478_01_1
|
laundry room
|
scene_000478
| 1
| 1
|
train
|
scene_000478_01_2
|
laundry room
|
scene_000478
| 1
| 2
|
train
|
scene_000478_01_3
|
laundry room
|
scene_000478
| 1
| 3
|
train
|
scene_000478_02_0
|
kitchen
|
scene_000478
| 2
| 0
|
train
|
scene_000478_02_1
|
kitchen
|
scene_000478
| 2
| 1
|
train
|
scene_000478_02_2
|
kitchen
|
scene_000478
| 2
| 2
|
train
|
scene_000478_02_3
|
kitchen
|
scene_000478
| 2
| 3
|
train
|
scene_000478_03_0
|
living room with dining area
|
scene_000478
| 3
| 0
|
train
|
scene_000478_03_1
|
living room with dining area
|
scene_000478
| 3
| 1
|
train
|
scene_000478_03_2
|
living room with dining area
|
scene_000478
| 3
| 2
|
train
|
scene_000478_03_3
|
living room with dining area
|
scene_000478
| 3
| 3
|
train
|
scene_000479_00_0
|
primary bathroom
|
scene_000479
| 0
| 0
|
train
|
scene_000479_00_1
|
primary bathroom
|
scene_000479
| 0
| 1
|
train
|
scene_000479_00_2
|
primary bathroom
|
scene_000479
| 0
| 2
|
train
|
scene_000479_00_3
|
primary bathroom
|
scene_000479
| 0
| 3
|
train
|
scene_000479_01_0
|
master bedroom
|
scene_000479
| 1
| 0
|
train
|
scene_000479_01_1
|
master bedroom
|
scene_000479
| 1
| 1
|
train
|
scene_000479_01_2
|
master bedroom
|
scene_000479
| 1
| 2
|
train
|
scene_000479_01_3
|
master bedroom
|
scene_000479
| 1
| 3
|
train
|
scene_000479_02_0
|
living room with dining area
|
scene_000479
| 2
| 0
|
train
|
scene_000479_02_1
|
living room with dining area
|
scene_000479
| 2
| 1
|
train
|
scene_000479_02_2
|
living room with dining area
|
scene_000479
| 2
| 2
|
train
|
scene_000479_02_3
|
living room with dining area
|
scene_000479
| 2
| 3
|
train
|
scene_000479_03_0
|
kitchen
|
scene_000479
| 3
| 0
|
train
|
scene_000479_03_1
|
kitchen
|
scene_000479
| 3
| 1
|
train
|
scene_000479_03_2
|
kitchen
|
scene_000479
| 3
| 2
|
train
|
scene_000479_03_3
|
kitchen
|
scene_000479
| 3
| 3
|
train
|
scene_000480_00_0
|
living room with dining area
|
scene_000480
| 0
| 0
|
train
|
scene_000480_00_1
|
living room with dining area
|
scene_000480
| 0
| 1
|
train
|
scene_000480_00_2
|
living room with dining area
|
scene_000480
| 0
| 2
|
train
|
scene_000480_00_3
|
living room with dining area
|
scene_000480
| 0
| 3
|
train
|
scene_000480_01_0
|
kitchen
|
scene_000480
| 1
| 0
|
train
|
scene_000480_01_1
|
kitchen
|
scene_000480
| 1
| 1
|
train
|
scene_000480_01_2
|
kitchen
|
scene_000480
| 1
| 2
|
train
|
scene_000480_01_3
|
kitchen
|
scene_000480
| 1
| 3
|
train
|
scene_000480_02_0
|
laundry room
|
scene_000480
| 2
| 0
|
train
|
scene_000480_02_1
|
laundry room
|
scene_000480
| 2
| 1
|
train
|
scene_000480_02_2
|
laundry room
|
scene_000480
| 2
| 2
|
train
|
scene_000480_02_3
|
laundry room
|
scene_000480
| 2
| 3
|
train
|
scene_000481_00_0
|
living room
|
scene_000481
| 0
| 0
|
train
|
scene_000481_00_1
|
living room
|
scene_000481
| 0
| 1
|
train
|
scene_000481_00_2
|
living room
|
scene_000481
| 0
| 2
|
train
|
scene_000481_00_3
|
living room
|
scene_000481
| 0
| 3
|
train
|
scene_000481_01_0
|
bedroom
|
scene_000481
| 1
| 0
|
train
|
scene_000481_01_1
|
bedroom
|
scene_000481
| 1
| 1
|
train
|
scene_000481_01_2
|
bedroom
|
scene_000481
| 1
| 2
|
train
|
scene_000481_01_3
|
bedroom
|
scene_000481
| 1
| 3
|
train
|
scene_000482_00_0
|
living room with dining area
|
scene_000482
| 0
| 0
|
train
|
scene_000482_00_1
|
living room with dining area
|
scene_000482
| 0
| 1
|
train
|
scene_000482_00_2
|
living room with dining area
|
scene_000482
| 0
| 2
|
train
|
scene_000482_00_3
|
living room with dining area
|
scene_000482
| 0
| 3
|
train
|
scene_000482_01_0
|
living room with laundry room
|
scene_000482
| 1
| 0
|
train
|
scene_000482_01_1
|
living room with laundry room
|
scene_000482
| 1
| 1
|
train
|
scene_000482_01_2
|
living room with laundry room
|
scene_000482
| 1
| 2
|
train
|
scene_000482_01_3
|
living room with laundry room
|
scene_000482
| 1
| 3
|
train
|
scene_000482_02_0
|
kitchen
|
scene_000482
| 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.