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.