Split (1)

train · 217k rows

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_000491_01_1	kitchen	scene_000491	1	1	train
scene_000491_01_2	kitchen	scene_000491	1	2	train
scene_000491_01_3	kitchen	scene_000491	1	3	train
scene_000491_02_0	laundry room	scene_000491	2	0	train
scene_000491_02_1	laundry room	scene_000491	2	1	train
scene_000491_02_2	laundry room	scene_000491	2	2	train
scene_000491_02_3	laundry room	scene_000491	2	3	train
scene_000491_03_0	living room	scene_000491	3	0	train
scene_000491_03_1	living room	scene_000491	3	1	train
scene_000491_03_2	living room	scene_000491	3	2	train
scene_000491_03_3	living room	scene_000491	3	3	train
scene_000492_00_0	living room	scene_000492	0	0	train
scene_000492_00_1	living room	scene_000492	0	1	train
scene_000492_00_2	living room	scene_000492	0	2	train
scene_000492_00_3	living room	scene_000492	0	3	train
scene_000492_01_0	home office	scene_000492	1	0	train
scene_000492_01_1	home office	scene_000492	1	1	train
scene_000492_01_2	home office	scene_000492	1	2	train
scene_000492_01_3	home office	scene_000492	1	3	train
scene_000493_00_0	living room	scene_000493	0	0	train
scene_000493_00_1	living room	scene_000493	0	1	train
scene_000493_00_2	living room	scene_000493	0	2	train
scene_000493_00_3	living room	scene_000493	0	3	train
scene_000493_01_0	laundry room	scene_000493	1	0	train
scene_000493_01_1	laundry room	scene_000493	1	1	train
scene_000493_01_2	laundry room	scene_000493	1	2	train
scene_000493_01_3	laundry room	scene_000493	1	3	train
scene_000493_02_0	kitchen	scene_000493	2	0	train
scene_000493_02_1	kitchen	scene_000493	2	1	train
scene_000493_02_2	kitchen	scene_000493	2	2	train
scene_000493_02_3	kitchen	scene_000493	2	3	train
scene_000493_03_0	bathroom	scene_000493	3	0	train
scene_000493_03_1	bathroom	scene_000493	3	1	train
scene_000493_03_2	bathroom	scene_000493	3	2	train
scene_000493_03_3	bathroom	scene_000493	3	3	train
scene_000494_00_0	living room	scene_000494	0	0	train
scene_000494_00_1	living room	scene_000494	0	1	train
scene_000494_00_2	living room	scene_000494	0	2	train
scene_000494_00_3	living room	scene_000494	0	3	train
scene_000494_01_0	kitchen	scene_000494	1	0	train
scene_000494_01_1	kitchen	scene_000494	1	1	train
scene_000494_01_2	kitchen	scene_000494	1	2	train
scene_000494_01_3	kitchen	scene_000494	1	3	train
scene_000494_02_0	bathroom	scene_000494	2	0	train
scene_000494_02_1	bathroom	scene_000494	2	1	train
scene_000494_02_2	bathroom	scene_000494	2	2	train
scene_000494_02_3	bathroom	scene_000494	2	3	train
scene_000495_00_0	kitchen	scene_000495	0	0	train
scene_000495_00_1	kitchen	scene_000495	0	1	train
scene_000495_00_2	kitchen	scene_000495	0	2	train
scene_000495_00_3	kitchen	scene_000495	0	3	train
scene_000495_01_0	living room	scene_000495	1	0	train
scene_000495_01_1	living room	scene_000495	1	1	train
scene_000495_01_2	living room	scene_000495	1	2	train
scene_000495_01_3	living room	scene_000495	1	3	train
scene_000495_02_0	bathroom	scene_000495	2	0	train
scene_000495_02_1	bathroom	scene_000495	2	1	train
scene_000495_02_2	bathroom	scene_000495	2	2	train
scene_000495_02_3	bathroom	scene_000495	2	3	train
scene_000496_00_0	living room with dining area	scene_000496	0	0	train
scene_000496_00_1	living room with dining area	scene_000496	0	1	train
scene_000496_00_2	living room with dining area	scene_000496	0	2	train
scene_000496_00_3	living room with dining area	scene_000496	0	3	train
scene_000496_01_0	kitchen	scene_000496	1	0	train
scene_000496_01_1	kitchen	scene_000496	1	1	train
scene_000496_01_2	kitchen	scene_000496	1	2	train
scene_000496_01_3	kitchen	scene_000496	1	3	train
scene_000497_00_0	bathroom	scene_000497	0	0	train
scene_000497_00_1	bathroom	scene_000497	0	1	train
scene_000497_00_2	bathroom	scene_000497	0	2	train
scene_000497_00_3	bathroom	scene_000497	0	3	train
scene_000497_01_0	kitchen	scene_000497	1	0	train
scene_000497_01_1	kitchen	scene_000497	1	1	train
scene_000497_01_2	kitchen	scene_000497	1	2	train
scene_000497_01_3	kitchen	scene_000497	1	3	train
scene_000497_02_0	living room	scene_000497	2	0	train
scene_000497_02_1	living room	scene_000497	2	1	train
scene_000497_02_2	living room	scene_000497	2	2	train
scene_000497_02_3	living room	scene_000497	2	3	train
scene_000498_00_0	living room	scene_000498	0	0	train
scene_000498_00_1	living room	scene_000498	0	1	train
scene_000498_00_2	living room	scene_000498	0	2	train
scene_000498_00_3	living room	scene_000498	0	3	train
scene_000498_01_0	office	scene_000498	1	0	train
scene_000498_01_1	office	scene_000498	1	1	train
scene_000498_01_2	office	scene_000498	1	2	train
scene_000498_01_3	office	scene_000498	1	3	train
scene_000498_02_0	kitchen	scene_000498	2	0	train
scene_000498_02_1	kitchen	scene_000498	2	1	train
scene_000498_02_2	kitchen	scene_000498	2	2	train
scene_000498_02_3	kitchen	scene_000498	2	3	train
scene_000499_00_0	laundry room	scene_000499	0	0	train
scene_000499_00_1	laundry room	scene_000499	0	1	train
scene_000499_00_2	laundry room	scene_000499	0	2	train
scene_000499_00_3	laundry room	scene_000499	0	3	train
scene_000499_01_0	living room	scene_000499	1	0	train
scene_000499_01_1	living room	scene_000499	1	1	train
scene_000499_01_2	living room	scene_000499	1	2	train
scene_000499_01_3	living room	scene_000499	1	3	train
scene_000500_00_0	living room	scene_000500	0	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.