Datasets:
chouss
/
scanner_ann

Dataset card Data Studio Files
xet
 Community
1
scene_id
stringclasses
141 values
object_id
stringclasses
77 values
object_name
stringclasses
146 values
ann_id
stringclasses
5 values
descriptions
listlengths
4
4
answer
int64
0
3
entities
listlengths
0
14
unique_id
int64
0
8.39k
image
stringclasses
232 values
scene0704_00
15
cabinets
0
[ "there are white cabinets. they are hanging over a red counter.", "there are brown cabinets. they are sitting on a black table.", "there are black cabinets. they are hanging over a brown counter.", "there are brown cabinets. they are hanging over a black counter." ]
3
[ "15_cabinets", "15_cabinets", "17_counter" ]
8,344
40.jpg
scene0704_00
14
cabinets
3
[ "there are wooden cabinets. they are located over a black counter.", "there are metal cabinets. they are located under a white counter.", "there are wooden shelves. they are located over a gray counter.", "there are plastic cabinets. they are located over a wooden counter." ]
0
[ "14_cabinets", "14_cabinets", "17_counter" ]
8,345
40.jpg
scene0704_00
18
trash_can
0
[ "the trash can is actually a special trash can called a paper shredder for destroying confidential documents. it is sitting between the cabinets and the copying machine.", "the trash can is actually a special trash can called a paper shredder for destroying confidential documents. it is sitting between the cabine...
0
[ "18_trash_can", "18_trash_can", "18_trash_can", "18_trash_can", "5_cabinets", "4_copier" ]
8,346
260.jpg
scene0704_00
0
cart
2
[ "the dark brown rolling cart is great for moving large office boxes or printer paper around the office place. the cart is located under the black cabinet and the coffee machine.", "the light tan rolling cart is great for moving small office boxes or copy paper around the office place. the cart is located away fro...
3
[ "0_cart", "0_cart", "5_cabinets", "7_shelf" ]
8,347
1320.jpg
scene0704_00
9
trash_can
0
[ "the trash can is large and white. the trash can is sitting behind a coffee machine, beside a chair.", "the trash can is small and black. the trash can is sitting in front of a water cooler machine, beside a table.", "the trash can is medium and blue. the trash can is sitting in front of a soda machine, beside ...
1
[ "9_trash_can", "9_trash_can", "27_water_cooler", "26_table" ]
8,348
1820.jpg
scene0704_00
25
picture
1
[ "the picture is on the opposite wall as the bulletin board. the picture is directly in front of the copier machine.", "the picture is on the same wall as the copier machine. the picture is directly behind the bulletin board.", "the picture is on the adjacent wall as the bulletin board. the picture is directly b...
3
[ "25_picture", "3_wall", "24_bulletin_board", "25_picture", "4_copier" ]
8,349
540.jpg
scene0704_00
5
cabinets
0
[ "the cabinets are south of the entrance door. the cabinets are u-shaped and sleek.", "the cabinets are north of the entrance door. the cabinets are l-shaped and boxy.", "the cabinets are east of the entrance door. the cabinets are l-shaped and modern.", "the cabinets are west of the entrance door. the cabinet...
1
[ "5_cabinets", "2_door", "5_cabinets" ]
8,350
740.jpg
scene0704_00
15
cabinets
2
[ "the cabinets are on the bottom left of the 'u' shaped, corner cabinets. the cabinets are below the paper-cutter.", "the cabinets are on the top right of the \"l\" shaped, corner cabinets. the cabinets are above the paper-cutter.", "the cabinets are on the top left of the 'l' shaped, corner cabinets. the cabine...
1
[ "15_cabinets", "5_cabinets", "15_cabinets", "17_counter" ]
8,351
40.jpg
scene0704_00
10
picture
0
[ "the picture is east and below the printer. the picture is round and has black edges.", "the picture is north and above the scanner. the picture is rectangular and has blue edges.", "the picture is south and beside the printer. the picture is oval and has green edges.", "the picture is west and above the prin...
3
[ "10_picture", "4_copier", "10_picture", "10_picture" ]
8,352
240.jpg
scene0704_00
7
shelf
2
[ "this is a white shelf. it is to the left of the water dispenser.", "this is a black table. it is to the right of the water dispenser.", "this is a black shelf. it is to the left of the water dispenser.", "this is a black shelf. it is to the right of the water dispenser." ]
3
[ "7_shelf", "7_shelf", "27_water_cooler" ]
8,353
1980.jpg
scene0704_00
9
trash_can
3
[ "this is a black trash can. it is under the table.", "this is a white trash can. it is on the table.", "this is a black recycling bin. it is next to the chair.", "this is a gray trash can. it is under the chair." ]
0
[ "9_trash_can", "9_trash_can", "26_table" ]
8,354
540.jpg
scene0704_00
17
counter
0
[ "this is a white counter. it is below cabinets.", "this is a black cabinet. it is above counters.", "this is a black counter. it is above cabinets.", "this is a brown counter. it is beside cabinets." ]
2
[ "17_counter", "17_counter", "5_cabinets" ]
8,355
860.jpg
scene0704_00
18
trash_can
3
[ "this is a black trash can. it is in front of a gray and blue trash can.", "this is a white trash can. it is behind a red and yellow trash can.", "this is a black trash bin. it is beside a green and white trash can.", "this is a gray trash can. it is in front of a black and blue trash bin." ]
0
[ "18_trash_can", "18_trash_can", "20_recycling_bin" ]
8,356
860.jpg
scene0704_00
18
trash_can
2
[ "the black trash can is sitting against the wall and behind the office bed. there are moving tray tables to the left of it.", "the white trash can is sitting against the wall and in front of the office bed. there are stationary tray tables to the right of it.", "the black trash bin is sitting against the wall a...
0
[ "18_trash_can", "19_wall", "1_cart", "18_trash_can", "20_recycling_bin" ]
8,357
220.jpg
scene0704_00
25
picture
2
[ "the picture is hanging to the right side of the wall. there is a small bulletin board to the left of it.", "the picture is hanging to the left side of the wall. there is a large whiteboard to the right of it.", "the picture is hanging to the left side of the wall. there is a large bulletin board to the right o...
2
[ "25_picture", "3_wall", "24_bulletin_board", "25_picture" ]
8,358
540.jpg
scene0704_00
20
recycling_bin
2
[ "this trash can is in the corner. it is red.", "this recycling bin is on the side. it is green.", "this storage box is in the middle. it is yellow.", "this recycling bin is in the middle. it is blue." ]
3
[ "20_recycling_bin", "20_recycling_bin" ]
8,359
1620.jpg
scene0704_00
20
recycling_bin
3
[ "this recycling bin is facing left. it is red.", "this garbage can is facing right. it is blue.", "this recycling bin is facing right. it is blue.", "this recycling bin is facing forward. it is green." ]
2
[ "20_recycling_bin", "20_recycling_bin" ]
8,360
980.jpg
scene0704_00
20
recycling_bin
0
[ "the trash can is south of the white one. the trash can is green and circular.", "the recycling bin is east of the red one. the recycling bin is yellow and square.", "the recycling bin is north of the black one. the recycling bin is blue and rectangular.", "the garbage bin is west of the blue one. the garbage...
2
[ "20_recycling_bin", "18_trash_can", "20_recycling_bin" ]
8,361
200.jpg
scene0704_00
11
picture
0
[ "this picture is on the floor. it is round.", "this picture is on the wall. it is square.", "this picture is on the ceiling. it is rectangular.", "this picture is on the table. it is triangular." ]
1
[ "11_picture", "21_wall", "11_picture" ]
8,362
440.jpg
scene0704_00
26
table
1
[ "this chair is black. it is soft.", "this table is white. it is smooth.", "this table is brown. it is hard.", "this desk is gray. it is rough." ]
2
[ "26_table", "26_table" ]
8,363
1220.jpg
scene0704_00
8
trash_can
0
[ "this waste bin is on the table. it is full or empty.", "this trash can is on the floor. it is empty or filled.", "this trash can is on the ceiling. it is empty or filled.", "this garbage bag is on the floor. it is empty or filled." ]
1
[ "8_trash_can", "6_floor", "8_trash_can" ]
8,364
1780.jpg
scene0704_00
26
table
0
[ "the chair is next to the printer. the chair is brown and round.", "the table is next to the printer. the table is brown and square.", "the table is next to the computer. the table is black and rectangular.", "the desk is next to the printer. the desk is white and square." ]
1
[ "26_table", "4_copier", "26_table" ]
8,365
840.jpg
scene0704_00
14
cabinets
2
[ "the cabinets are below the printers. the cabinets are blue colored and square.", "the cabinets are above the printers. the cabinets are tan colored and rectangular.", "the cabinets are beside the printers. the cabinets are green colored and circular.", "the cabinets are behind the printers. the cabinets are ...
1
[ "14_cabinets", "14_cabinets" ]
8,366
60.jpg
scene0704_00
5
cabinets
2
[ "the cabinets are north of the door. the cabinets are l-shaped and brown.", "the cabinets are south of the door. the cabinets are u-shaped and black.", "the cabinets are east of the door. the cabinets are l-shaped and white.", "the cabinets are west of the door. the cabinets are straight and gray." ]
0
[ "5_cabinets", "2_door", "5_cabinets" ]
8,367
1320.jpg
scene0704_00
26
table
2
[ "the table is right of the copier machine. the table is a brown square.", "the table is left of the printer machine. the table is a black rectangle.", "the table is right of the scanner machine. the table is a white circle.", "the table is left of the fax machine. the table is a brown triangle." ]
0
[ "26_table", "4_copier", "26_table" ]
8,368
1240.jpg
scene0704_00
25
picture
4
[ "the picture is on the wall south of the printer. the picture is round.", "the picture is on the wall east of the scanner. the picture is rectangular.", "the picture is on the wall north of the copier. the picture is square.", "the picture is on the wall west of the fax machine. the picture is oval." ]
2
[ "25_picture", "3_wall", "4_copier", "25_picture" ]
8,369
440.jpg
scene0704_00
2
door
4
[ "this is a tan door. it is to the left of the printer.", "this is a black door. it is to the right of the printer.", "this is a tan window. it is to the left of the printer.", "this is a tan door. it is to the right of the computer." ]
0
[ "2_door", "2_door", "4_copier" ]
8,370
1360.jpg
scene0704_00
20
recycling_bin
1
[ "this is a blue recycle bin. it is behind a trash can.", "this is a green recycle bin. it is in front of a trash can.", "this is a blue trash can. it is beside a recycle bin.", "this is a red recycle bin. it is next to a wastebasket." ]
0
[ "20_recycling_bin", "20_recycling_bin", "18_trash_can" ]
8,371
1420.jpg
scene0704_00
20
recycling_bin
4
[ "this is a red recycle bin. it is behind brooms.", "this is a blue trash can. it is beside brooms.", "this is a blue recycle bin. it is in front of brooms.", "this is a green recycle bin. it is in front of mops." ]
2
[ "20_recycling_bin", "20_recycling_bin", "4_copier" ]
8,372
960.jpg
scene0704_00
14
cabinets
4
[ "these are beige shelves. they are below the printer.", "these are tan cabinets. they are beside the printer.", "these are tan cabinets. they are above the printer.", "these are brown cabinets. they are above the scanner." ]
2
[ "14_cabinets" ]
8,373
60.jpg
scene0704_00
8
trash_can
1
[ "the circular black trash can is on the table. it is located under the left side of the tan desk.", "the rectangular brown trash can is on the ceiling. it is located under the right side of the blue desk.", "the square white trash can is on the floor. it is located under the left side of the tan desk.", "the ...
3
[ "8_trash_can", "6_floor", "8_trash_can", "26_table" ]
8,374
200.jpg
scene0704_00
25
picture
3
[ "it is a small green and yellow picture. the small green and yellow picture on the right wall, below the printer.", "it is a large purple and white picture. the large purple and white picture on the left wall, above the copier.", "it is a large blue and red picture. the large blue and red picture on the back wa...
1
[ "25_picture", "25_picture", "3_wall", "4_copier" ]
8,375
480.jpg
scene0704_00
7
shelf
3
[ "it is the white shelf. the white shelf is the coffee mug shelf on the left wall, next to the calendar.", "it is the black shelf. the black shelf is the book shelf on the left wall, next to the window.", "it is the black shelf. the black shelf is the water bottle shelf on the right wall, next to the bulletin bo...
2
[ "7_shelf", "7_shelf", "0_cart", "23_wall", "24_bulletin_board" ]
8,376
2240.jpg
scene0704_00
7
shelf
1
[ "there is a circular white shelf. it has bottles of soda in it.", "there is a rectangular black cabinet. it has jugs of juice in it.", "there is a rectangular black shelf. it has jugs of water in it.", "there is a square brown shelf. it has cans of beer in it." ]
2
[ "7_shelf", "7_shelf" ]
8,377
660.jpg
scene0704_00
8
trash_can
3
[ "there is a circular trash can. it is next to a white cabinet.", "there is a rectangular trash can. it is next to a gray cabinet.", "there is a rectangular trash bin. it is next to a black cabinet.", "there is a square trash can. it is next to a brown cabinet." ]
1
[ "8_trash_can", "8_trash_can", "4_copier" ]
8,378
1360.jpg
scene0704_00
1
cart
2
[ "there is a circular wooden cart. it is next to a plastic crate.", "there is a square metal cart. it is next to a wooden box.", "there is a rectangular metal cart. it is next to a cardboard box.", "there is a rectangular plastic cart. it is next to a metal crate." ]
2
[ "1_cart", "1_cart", "26_table" ]
8,379
2040.jpg
scene0704_00
5
cabinets
1
[ "there are metal cabinets. they are above a white counter.", "there are wooden shelves. they are beside a black counter.", "there are wooden cabinets. they are under a black counter.", "there are wooden cabinets. they are under a red counter." ]
2
[ "5_cabinets", "5_cabinets", "17_counter" ]
8,380
1420.jpg
scene0704_00
5
cabinets
4
[ "there are black metal cabinets. they are above a beige counter.", "there are beige wooden shelves. they are beside a black counter.", "there are beige wooden cabinets. they are beneath a black counter.", "there are brown wooden cabinets. they are beneath a white counter." ]
2
[ "5_cabinets", "5_cabinets", "17_counter" ]
8,381
1400.jpg
scene0704_00
14
cabinets
1
[ "these are beige cabinets. they are below the counters.", "these are tan shelves. they are beside the counters.", "these are tan cabinets. they are above the counters.", "these are brown cabinets. they are in front of the counters." ]
2
[ "14_cabinets", "17_counter" ]
8,382
100.jpg
scene0704_00
15
cabinets
4
[ "these are beige cabinets. they are below the counter.", "these are tan cabinets. they are above the counter.", "these are tan shelves. they are beside the counter.", "these are brown cabinets. they are above the sink." ]
1
[ "15_cabinets", "17_counter" ]
8,383
260.jpg
scene0704_00
7
shelf
0
[ "this is a white shelf. it is in front of the cart.", "this is a black table. it is beside the cart.", "this is a black shelf. it is behind the cart.", "this is a brown shelf. it is under the cart." ]
2
[ "7_shelf", "7_shelf", "0_cart" ]
8,384
1980.jpg
scene0704_00
2
door
0
[ "this is a blue door. it is to the right of the counter.", "this is a tan window. it is to the left of the table.", "this is a brown door. it is in front of the counter.", "this is a tan door. it is to the left of the counter." ]
3
[ "2_door", "2_door", "17_counter" ]
8,385
1320.jpg
scene0704_00
18
trash_can
1
[ "this is a black trash can. it is to the left of the blue trash can.", "this is a white trash can. it is to the right of the green trash can.", "this is a black recycling bin. it is to the left of the red trash can.", "this is a blue trash can. it is to the right of the black trash can." ]
0
[ "18_trash_can", "18_trash_can", "20_recycling_bin" ]
8,386
900.jpg
scene0704_00
17
counter
2
[ "the counter is south of the door. the counter is a u-shaped square.", "the counter is north of the door. the counter is an l-shaped rectangle.", "the counter is east of the door. the counter is an i-shaped oval.", "the counter is west of the door. the counter is a t-shaped triangle." ]
1
[ "17_counter", "2_door", "17_counter" ]
8,387
1700.jpg
scene0704_00
26
table
4
[ "the table is west of the printer machine. the table is a blue rectangle.", "the table is north of the scanner machine. the table is a green circle.", "the table is east of the copier machine. the table is a yellow square.", "the table is south of the fax machine. the table is a red oval." ]
2
[ "26_table", "4_copier", "26_table" ]
8,388
1320.jpg
scene0704_00
8
trash_can
2
[ "the trash can is between the printer and the chair. the trash can is a black cylindrical shape.", "the trash can is between the copier and the table. the trash can is a gray rectangular prism.", "the trash can is between the copier and the desk. the trash can is a white square prism.", "the trash can is betw...
1
[ "8_trash_can", "4_copier", "26_table", "8_trash_can" ]
8,389
1800.jpg
scene0704_00
1
cart
3
[ "this cart is in the corner. it is dark on its top.", "this cart is in the center. it is light on its top.", "this cart is on the side. it is heavy on its top.", "this cart is in the center. it is empty on its top." ]
1
[ "1_cart", "1_cart" ]
8,390
1980.jpg
scene0704_00
15
cabinets
1
[ "these cabinets are in the center. they are black in color.", "these shelves are in the corner. they are brown in color.", "these cabinets are in the corner. they are brown in color.", "these cabinets are in the corner. they are white in color." ]
2
[ "15_cabinets", "15_cabinets" ]
8,391
300.jpg
scene0704_00
18
trash_can
4
[ "this white trash can is in the corner. it is full or empty.", "this black trash can is in the center. it is empty or filled.", "this black recycling bin is in the center. it is empty or filled.", "this blue trash can is in the center. it is filled or empty." ]
1
[ "18_trash_can", "18_trash_can" ]
8,392
340.jpg
scene0704_00
10
picture
1
[ "this is the third picture on the wall. it has a light blue border.", "this is the first picture on the wall. it has a dark green border.", "this is the second frame on the wall. it has a dark black border.", "this is the second picture on the wall. it has a dark brown border." ]
3
[ "10_picture", "21_wall", "10_picture" ]
8,393
240.jpg