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.