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_000879_01_3
|
home office
|
scene_000879
| 1
| 3
|
train
|
scene_000880_00_0
|
living room with dining area
|
scene_000880
| 0
| 0
|
train
|
scene_000880_00_1
|
living room with dining area
|
scene_000880
| 0
| 1
|
train
|
scene_000880_00_2
|
living room with dining area
|
scene_000880
| 0
| 2
|
train
|
scene_000880_00_3
|
living room with dining area
|
scene_000880
| 0
| 3
|
train
|
scene_000880_01_0
|
kitchen
|
scene_000880
| 1
| 0
|
train
|
scene_000880_01_1
|
kitchen
|
scene_000880
| 1
| 1
|
train
|
scene_000880_01_2
|
kitchen
|
scene_000880
| 1
| 2
|
train
|
scene_000880_01_3
|
kitchen
|
scene_000880
| 1
| 3
|
train
|
scene_000880_02_0
|
bathroom
|
scene_000880
| 2
| 0
|
train
|
scene_000880_02_1
|
bathroom
|
scene_000880
| 2
| 1
|
train
|
scene_000880_02_2
|
bathroom
|
scene_000880
| 2
| 2
|
train
|
scene_000880_02_3
|
bathroom
|
scene_000880
| 2
| 3
|
train
|
scene_000880_03_0
|
bathroom
|
scene_000880
| 3
| 0
|
train
|
scene_000880_03_1
|
bathroom
|
scene_000880
| 3
| 1
|
train
|
scene_000880_03_2
|
bathroom
|
scene_000880
| 3
| 2
|
train
|
scene_000881_00_0
|
living and dining room
|
scene_000881
| 0
| 0
|
train
|
scene_000881_00_1
|
living and dining room
|
scene_000881
| 0
| 1
|
train
|
scene_000881_00_2
|
living and dining room
|
scene_000881
| 0
| 2
|
train
|
scene_000881_00_3
|
living and dining room
|
scene_000881
| 0
| 3
|
train
|
scene_000882_00_0
|
living room
|
scene_000882
| 0
| 0
|
train
|
scene_000882_00_1
|
living room
|
scene_000882
| 0
| 1
|
train
|
scene_000882_00_2
|
living room
|
scene_000882
| 0
| 2
|
train
|
scene_000882_00_3
|
living room
|
scene_000882
| 0
| 3
|
train
|
scene_000882_01_0
|
living room
|
scene_000882
| 1
| 0
|
train
|
scene_000882_01_1
|
living room
|
scene_000882
| 1
| 1
|
train
|
scene_000882_01_2
|
living room
|
scene_000882
| 1
| 2
|
train
|
scene_000882_01_3
|
living room
|
scene_000882
| 1
| 3
|
train
|
scene_000882_02_0
|
dining room
|
scene_000882
| 2
| 0
|
train
|
scene_000882_02_1
|
dining room
|
scene_000882
| 2
| 1
|
train
|
scene_000882_02_2
|
dining room
|
scene_000882
| 2
| 2
|
train
|
scene_000882_02_3
|
dining room
|
scene_000882
| 2
| 3
|
train
|
scene_000883_00_0
|
living room
|
scene_000883
| 0
| 0
|
train
|
scene_000883_00_1
|
living room
|
scene_000883
| 0
| 1
|
train
|
scene_000883_00_2
|
living room
|
scene_000883
| 0
| 2
|
train
|
scene_000883_00_3
|
living room
|
scene_000883
| 0
| 3
|
train
|
scene_000883_01_0
|
bedroom
|
scene_000883
| 1
| 0
|
train
|
scene_000883_01_1
|
bedroom
|
scene_000883
| 1
| 1
|
train
|
scene_000883_01_2
|
bedroom
|
scene_000883
| 1
| 2
|
train
|
scene_000883_01_3
|
bedroom
|
scene_000883
| 1
| 3
|
train
|
scene_000884_00_0
|
living room
|
scene_000884
| 0
| 0
|
train
|
scene_000884_00_1
|
living room
|
scene_000884
| 0
| 1
|
train
|
scene_000884_00_2
|
living room
|
scene_000884
| 0
| 2
|
train
|
scene_000884_00_3
|
living room
|
scene_000884
| 0
| 3
|
train
|
scene_000884_01_0
|
bedroom
|
scene_000884
| 1
| 0
|
train
|
scene_000884_01_1
|
bedroom
|
scene_000884
| 1
| 1
|
train
|
scene_000884_01_2
|
bedroom
|
scene_000884
| 1
| 2
|
train
|
scene_000884_01_3
|
bedroom
|
scene_000884
| 1
| 3
|
train
|
scene_000885_00_0
|
living room
|
scene_000885
| 0
| 0
|
train
|
scene_000885_00_1
|
living room
|
scene_000885
| 0
| 1
|
train
|
scene_000885_00_2
|
living room
|
scene_000885
| 0
| 2
|
train
|
scene_000885_00_3
|
living room
|
scene_000885
| 0
| 3
|
train
|
scene_000885_01_0
|
kitchen
|
scene_000885
| 1
| 0
|
train
|
scene_000885_01_1
|
kitchen
|
scene_000885
| 1
| 1
|
train
|
scene_000885_01_2
|
kitchen
|
scene_000885
| 1
| 2
|
train
|
scene_000885_01_3
|
kitchen
|
scene_000885
| 1
| 3
|
train
|
scene_000885_02_0
|
laundry room
|
scene_000885
| 2
| 0
|
train
|
scene_000885_02_1
|
laundry room
|
scene_000885
| 2
| 1
|
train
|
scene_000885_02_2
|
laundry room
|
scene_000885
| 2
| 2
|
train
|
scene_000885_02_3
|
laundry room
|
scene_000885
| 2
| 3
|
train
|
scene_000886_00_0
|
living room with dining area
|
scene_000886
| 0
| 0
|
train
|
scene_000886_00_1
|
living room with dining area
|
scene_000886
| 0
| 1
|
train
|
scene_000886_00_2
|
living room with dining area
|
scene_000886
| 0
| 2
|
train
|
scene_000886_00_3
|
living room with dining area
|
scene_000886
| 0
| 3
|
train
|
scene_000886_01_0
|
laundry room
|
scene_000886
| 1
| 0
|
train
|
scene_000886_01_1
|
laundry room
|
scene_000886
| 1
| 1
|
train
|
scene_000886_01_2
|
laundry room
|
scene_000886
| 1
| 2
|
train
|
scene_000886_01_3
|
laundry room
|
scene_000886
| 1
| 3
|
train
|
scene_000887_00_0
|
living room
|
scene_000887
| 0
| 0
|
train
|
scene_000887_00_1
|
living room
|
scene_000887
| 0
| 1
|
train
|
scene_000887_01_0
|
foyer
|
scene_000887
| 1
| 0
|
train
|
scene_000887_01_1
|
foyer
|
scene_000887
| 1
| 1
|
train
|
scene_000887_01_2
|
foyer
|
scene_000887
| 1
| 2
|
train
|
scene_000887_01_3
|
foyer
|
scene_000887
| 1
| 3
|
train
|
scene_000887_02_0
|
living room
|
scene_000887
| 2
| 0
|
train
|
scene_000887_02_1
|
living room
|
scene_000887
| 2
| 1
|
train
|
scene_000887_02_2
|
living room
|
scene_000887
| 2
| 2
|
train
|
scene_000887_02_3
|
living room
|
scene_000887
| 2
| 3
|
train
|
scene_000888_00_0
|
dining room
|
scene_000888
| 0
| 0
|
train
|
scene_000888_00_1
|
dining room
|
scene_000888
| 0
| 1
|
train
|
scene_000888_00_2
|
dining room
|
scene_000888
| 0
| 2
|
train
|
scene_000888_00_3
|
dining room
|
scene_000888
| 0
| 3
|
train
|
scene_000888_01_0
|
balcony
|
scene_000888
| 1
| 0
|
train
|
scene_000888_01_1
|
balcony
|
scene_000888
| 1
| 1
|
train
|
scene_000888_01_2
|
balcony
|
scene_000888
| 1
| 2
|
train
|
scene_000888_01_3
|
balcony
|
scene_000888
| 1
| 3
|
train
|
scene_000889_00_0
|
kitchen
|
scene_000889
| 0
| 0
|
train
|
scene_000889_00_1
|
kitchen
|
scene_000889
| 0
| 1
|
train
|
scene_000889_00_2
|
kitchen
|
scene_000889
| 0
| 2
|
train
|
scene_000889_00_3
|
kitchen
|
scene_000889
| 0
| 3
|
train
|
scene_000889_01_0
|
living room with dining area
|
scene_000889
| 1
| 0
|
train
|
scene_000889_01_1
|
living room with dining area
|
scene_000889
| 1
| 1
|
train
|
scene_000889_01_2
|
living room with dining area
|
scene_000889
| 1
| 2
|
train
|
scene_000889_01_3
|
living room with dining area
|
scene_000889
| 1
| 3
|
train
|
scene_000889_02_0
|
laundry room
|
scene_000889
| 2
| 0
|
train
|
scene_000889_02_1
|
laundry room
|
scene_000889
| 2
| 1
|
train
|
scene_000889_02_2
|
laundry room
|
scene_000889
| 2
| 2
|
train
|
scene_000889_02_3
|
laundry room
|
scene_000889
| 2
| 3
|
train
|
scene_000890_00_0
|
kitchen
|
scene_000890
| 0
| 0
|
train
|
scene_000890_00_1
|
kitchen
|
scene_000890
| 0
| 1
|
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.