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.