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_000033_00_1 | living room with dining area | scene_000033 | 0 | 1 | train |
scene_000033_00_2 | living room with dining area | scene_000033 | 0 | 2 | train |
scene_000033_00_3 | living room with dining area | scene_000033 | 0 | 3 | train |
scene_000033_01_0 | laundry room | scene_000033 | 1 | 0 | train |
scene_000033_01_1 | laundry room | scene_000033 | 1 | 1 | train |
scene_000033_01_2 | laundry room | scene_000033 | 1 | 2 | train |
scene_000033_01_3 | laundry room | scene_000033 | 1 | 3 | train |
scene_000033_02_0 | other | scene_000033 | 2 | 0 | train |
scene_000033_02_1 | other | scene_000033 | 2 | 1 | train |
scene_000033_02_2 | other | scene_000033 | 2 | 2 | train |
scene_000033_02_3 | other | scene_000033 | 2 | 3 | train |
scene_000033_03_0 | kitchen | scene_000033 | 3 | 0 | train |
scene_000033_03_1 | kitchen | scene_000033 | 3 | 1 | train |
scene_000033_03_2 | kitchen | scene_000033 | 3 | 2 | train |
scene_000033_03_3 | kitchen | scene_000033 | 3 | 3 | train |
scene_000033_04_0 | bathroom | scene_000033 | 4 | 0 | train |
scene_000033_04_1 | bathroom | scene_000033 | 4 | 1 | train |
scene_000033_04_2 | bathroom | scene_000033 | 4 | 2 | train |
scene_000033_04_3 | bathroom | scene_000033 | 4 | 3 | train |
scene_000034_00_0 | living and dining room | scene_000034 | 0 | 0 | train |
scene_000034_00_1 | living and dining room | scene_000034 | 0 | 1 | train |
scene_000034_00_2 | living and dining room | scene_000034 | 0 | 2 | train |
scene_000034_00_3 | living and dining room | scene_000034 | 0 | 3 | train |
scene_000034_01_0 | balcony | scene_000034 | 1 | 0 | train |
scene_000034_01_1 | balcony | scene_000034 | 1 | 1 | train |
scene_000034_01_2 | balcony | scene_000034 | 1 | 2 | train |
scene_000034_01_3 | balcony | scene_000034 | 1 | 3 | train |
scene_000035_00_0 | living room | scene_000035 | 0 | 0 | train |
scene_000035_00_1 | living room | scene_000035 | 0 | 1 | train |
scene_000035_00_2 | living room | scene_000035 | 0 | 2 | train |
scene_000035_00_3 | living room | scene_000035 | 0 | 3 | train |
scene_000035_01_0 | bathroom | scene_000035 | 1 | 0 | train |
scene_000035_01_1 | bathroom | scene_000035 | 1 | 1 | train |
scene_000035_01_2 | bathroom | scene_000035 | 1 | 2 | train |
scene_000035_01_3 | bathroom | scene_000035 | 1 | 3 | train |
scene_000036_00_0 | living and dining room | scene_000036 | 0 | 0 | train |
scene_000036_00_1 | living and dining room | scene_000036 | 0 | 1 | train |
scene_000036_00_2 | living and dining room | scene_000036 | 0 | 2 | train |
scene_000036_00_3 | living and dining room | scene_000036 | 0 | 3 | train |
scene_000036_01_0 | laundry room | scene_000036 | 1 | 0 | train |
scene_000036_01_1 | laundry room | scene_000036 | 1 | 1 | train |
scene_000036_01_2 | laundry room | scene_000036 | 1 | 2 | train |
scene_000036_01_3 | laundry room | scene_000036 | 1 | 3 | train |
scene_000036_02_0 | bathroom | scene_000036 | 2 | 0 | train |
scene_000036_02_1 | bathroom | scene_000036 | 2 | 1 | train |
scene_000036_02_2 | bathroom | scene_000036 | 2 | 2 | train |
scene_000036_02_3 | bathroom | scene_000036 | 2 | 3 | train |
scene_000037_00_0 | living room | scene_000037 | 0 | 0 | train |
scene_000037_00_1 | living room | scene_000037 | 0 | 1 | train |
scene_000037_00_2 | living room | scene_000037 | 0 | 2 | train |
scene_000037_00_3 | living room | scene_000037 | 0 | 3 | train |
scene_000037_01_0 | home office | scene_000037 | 1 | 0 | train |
scene_000037_01_1 | home office | scene_000037 | 1 | 1 | train |
scene_000037_01_2 | home office | scene_000037 | 1 | 2 | train |
scene_000037_01_3 | home office | scene_000037 | 1 | 3 | train |
scene_000037_02_0 | laundry room | scene_000037 | 2 | 0 | train |
scene_000037_02_1 | laundry room | scene_000037 | 2 | 1 | train |
scene_000037_02_2 | laundry room | scene_000037 | 2 | 2 | train |
scene_000037_02_3 | laundry room | scene_000037 | 2 | 3 | train |
scene_000037_03_0 | kitchen | scene_000037 | 3 | 0 | train |
scene_000037_03_1 | kitchen | scene_000037 | 3 | 1 | train |
scene_000037_03_2 | kitchen | scene_000037 | 3 | 2 | train |
scene_000037_03_3 | kitchen | scene_000037 | 3 | 3 | train |
scene_000038_00_0 | laundry room | scene_000038 | 0 | 0 | train |
scene_000038_00_1 | laundry room | scene_000038 | 0 | 1 | train |
scene_000038_00_2 | laundry room | scene_000038 | 0 | 2 | train |
scene_000038_00_3 | laundry room | scene_000038 | 0 | 3 | train |
scene_000038_01_0 | home office | scene_000038 | 1 | 0 | train |
scene_000038_01_1 | home office | scene_000038 | 1 | 1 | train |
scene_000038_01_2 | home office | scene_000038 | 1 | 2 | train |
scene_000038_01_3 | home office | scene_000038 | 1 | 3 | train |
scene_000038_02_0 | living room | scene_000038 | 2 | 0 | train |
scene_000038_02_1 | living room | scene_000038 | 2 | 1 | train |
scene_000038_02_2 | living room | scene_000038 | 2 | 2 | train |
scene_000038_02_3 | living room | scene_000038 | 2 | 3 | train |
scene_000038_03_0 | kitchen | scene_000038 | 3 | 0 | train |
scene_000038_03_1 | kitchen | scene_000038 | 3 | 1 | train |
scene_000038_03_2 | kitchen | scene_000038 | 3 | 2 | train |
scene_000038_03_3 | kitchen | scene_000038 | 3 | 3 | train |
scene_000039_00_0 | living room | scene_000039 | 0 | 0 | train |
scene_000039_00_1 | living room | scene_000039 | 0 | 1 | train |
scene_000039_00_2 | living room | scene_000039 | 0 | 2 | train |
scene_000039_00_3 | living room | scene_000039 | 0 | 3 | train |
scene_000039_01_0 | kitchen | scene_000039 | 1 | 0 | train |
scene_000039_01_1 | kitchen | scene_000039 | 1 | 1 | train |
scene_000039_01_2 | kitchen | scene_000039 | 1 | 2 | train |
scene_000039_01_3 | kitchen | scene_000039 | 1 | 3 | train |
scene_000039_02_0 | dining room | scene_000039 | 2 | 0 | train |
scene_000039_02_1 | dining room | scene_000039 | 2 | 1 | train |
scene_000039_02_2 | dining room | scene_000039 | 2 | 2 | train |
scene_000039_02_3 | dining room | scene_000039 | 2 | 3 | train |
scene_000040_00_0 | foyer | scene_000040 | 0 | 0 | train |
scene_000040_00_1 | foyer | scene_000040 | 0 | 1 | train |
scene_000040_00_2 | foyer | scene_000040 | 0 | 2 | train |
scene_000040_00_3 | foyer | scene_000040 | 0 | 3 | train |
scene_000041_00_0 | bathroom | scene_000041 | 0 | 0 | train |
scene_000041_00_1 | bathroom | scene_000041 | 0 | 1 | train |
scene_000041_00_2 | bathroom | scene_000041 | 0 | 2 | train |
scene_000041_01_0 | living room | scene_000041 | 1 | 0 | train |
scene_000041_01_1 | living room | scene_000041 | 1 | 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.