Datasets:
haideraltahan
/
wds_vg_attribution

Dataset card Data Studio Files
xet
Community
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1.14k
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27
s0000000
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the open door and the crouched man", "the crouched door and the open man" ]
open crouched
s0000001
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the open door and the gray floor", "the gray door and the open floor" ]
open gray
s0000002
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the open door and the metal floor", "the metal door and the open floor" ]
open metal
s0000003
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the open door and the long sleeved shirt", "the long sleeved door and the open shirt" ]
open long sleeved
s0000004
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the open door and the brown shirt", "the brown door and the open shirt" ]
open brown
s0000005
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the open door and the striped shirt", "the striped door and the open shirt" ]
open striped
s0000006
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the crouched man and the gray floor", "the gray man and the crouched floor" ]
crouched gray
s0000007
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the crouched man and the metal floor", "the metal man and the crouched floor" ]
crouched metal
s0000008
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the crouched man and the long sleeved shirt", "the long sleeved man and the crouched shirt" ]
crouched long sleeved
s0000009
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the crouched man and the brown shirt", "the brown man and the crouched shirt" ]
crouched brown
s0000010
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the crouched man and the striped shirt", "the striped man and the crouched shirt" ]
crouched striped
s0000011
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the gray floor and the long sleeved shirt", "the long sleeved floor and the gray shirt" ]
gray long sleeved
s0000012
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the gray floor and the brown shirt", "the brown floor and the gray shirt" ]
gray brown
s0000013
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the gray floor and the striped shirt", "the striped floor and the gray shirt" ]
gray striped
s0000014
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the metal floor and the long sleeved shirt", "the long sleeved floor and the metal shirt" ]
metal long sleeved
s0000015
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the metal floor and the brown shirt", "the brown floor and the metal shirt" ]
metal brown
s0000016
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the metal floor and the striped shirt", "the striped floor and the metal shirt" ]
metal striped
s0000017
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the unpeeled banana and the black table", "the black banana and the unpeeled table" ]
unpeeled black
s0000018
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the unpeeled banana and the light colored plate", "the light colored banana and the unpeeled plate" ]
unpeeled light colored
s0000019
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the unpeeled banana and the square plate", "the square banana and the unpeeled plate" ]
unpeeled square
s0000020
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the unpeeled banana and the white plate", "the white banana and the unpeeled plate" ]
unpeeled white
s0000021
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the black table and the unpeeled banana", "the unpeeled table and the black banana" ]
black unpeeled
s0000022
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the black table and the attached banana", "the attached table and the black banana" ]
black attached
s0000023
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the black table and the light colored plate", "the light colored table and the black plate" ]
black light colored
s0000024
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the black table and the square plate", "the square table and the black plate" ]
black square
s0000025
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the black table and the white plate", "the white table and the black plate" ]
black white
s0000026
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the unpeeled banana and the light colored plate", "the light colored banana and the unpeeled plate" ]
unpeeled light colored
s0000027
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the unpeeled banana and the square plate", "the square banana and the unpeeled plate" ]
unpeeled square
s0000028
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the unpeeled banana and the white plate", "the white banana and the unpeeled plate" ]
unpeeled white
s0000029
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the attached banana and the light colored plate", "the light colored banana and the attached plate" ]
attached light colored
s0000030
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the attached banana and the square plate", "the square banana and the attached plate" ]
attached square
s0000031
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the attached banana and the white plate", "the white banana and the attached plate" ]
attached white
s0000032
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the gray street and the empty boat", "the empty street and the gray boat" ]
gray empty
s0000033
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the gray street and the orange wall", "the orange street and the gray wall" ]
gray orange
s0000034
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the gray street and the green water", "the green street and the gray water" ]
gray green
s0000035
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the empty boat and the orange wall", "the orange boat and the empty wall" ]
empty orange
s0000036
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the empty boat and the green water", "the green boat and the empty water" ]
empty green
s0000037
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the orange wall and the green water", "the green wall and the orange water" ]
orange green
s0000038
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the brown bread and the square plate", "the square bread and the brown plate" ]
brown square
s0000039
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the brown bread and the white plate", "the white bread and the brown plate" ]
brown white
s0000040
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the burnt bread and the square plate", "the square bread and the burnt plate" ]
burnt square
s0000041
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the burnt bread and the white plate", "the white bread and the burnt plate" ]
burnt white
s0000042
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the brown bread and the little sandwiches", "the little bread and the brown sandwiches" ]
brown little
s0000043
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the brown bread and the small sandwiches", "the small bread and the brown sandwiches" ]
brown small
s0000044
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the burnt bread and the little sandwiches", "the little bread and the burnt sandwiches" ]
burnt little
s0000045
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the burnt bread and the small sandwiches", "the small bread and the burnt sandwiches" ]
burnt small
s0000046
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the square plate and the little sandwiches", "the little plate and the square sandwiches" ]
square little
s0000047
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the square plate and the small sandwiches", "the small plate and the square sandwiches" ]
square small
s0000048
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the white plate and the little sandwiches", "the little plate and the white sandwiches" ]
white little
s0000049
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the white plate and the small sandwiches", "the small plate and the white sandwiches" ]
white small
s0000050
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the wood wall and the brown horse", "the brown wall and the wood horse" ]
wood brown
s0000051
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the paved street and the green dress", "the green street and the paved dress" ]
paved green
s0000052
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the paved street and the large umbrella", "the large street and the paved umbrella" ]
paved large
s0000053
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the paved street and the white umbrella", "the white street and the paved umbrella" ]
paved white
s0000054
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the green dress and the large umbrella", "the large dress and the green umbrella" ]
green large
s0000055
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the green dress and the white umbrella", "the white dress and the green umbrella" ]
green white
s0000056
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the brown crust and the white cheese", "the white crust and the brown cheese" ]
brown white
s0000057
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the black racket and the bright ground", "the bright racket and the black ground" ]
black bright
s0000058
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the sitting man and the brown building", "the brown man and the sitting building" ]
sitting brown
s0000059
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the sitting man and the gray sky", "the gray man and the sitting sky" ]
sitting gray
s0000060
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the brown building and the gray sky", "the gray building and the brown sky" ]
brown gray
s0000061
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the brown cat and the green jacket", "the green cat and the brown jacket" ]
brown green
s0000062
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the furry cat and the green jacket", "the green cat and the furry jacket" ]
furry green
s0000063
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the white truck and the small tree", "the small truck and the white tree" ]
white small
s0000064
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the white truck and the red building", "the red truck and the white building" ]
white red
s0000065
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the white truck and the brick building", "the brick truck and the white building" ]
white brick
s0000066
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the small tree and the red building", "the red tree and the small building" ]
small red
s0000067
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the small tree and the brick building", "the brick tree and the small building" ]
small brick
s0000068
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the young girl and the pink shirt", "the pink girl and the young shirt" ]
young pink
s0000069
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the happy girl and the pink shirt", "the pink girl and the happy shirt" ]
happy pink
s0000070
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the smiling girl and the pink shirt", "the pink girl and the smiling shirt" ]
smiling pink
s0000071
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the young girl and the pink shirt", "the pink girl and the young shirt" ]
young pink
s0000072
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the white legs and the long tail", "the long legs and the white tail" ]
white long
s0000073
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the white legs and the orange tail", "the orange legs and the white tail" ]
white orange
s0000074
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the white legs and the mesh table", "the mesh legs and the white table" ]
white mesh
s0000075
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the white legs and the sleeping cat", "the sleeping legs and the white cat" ]
white sleeping
s0000076
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the white legs and the fluffy cat", "the fluffy legs and the white cat" ]
white fluffy
s0000077
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the white legs and the orange cat", "the orange legs and the white cat" ]
white orange
s0000078
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the long tail and the mesh table", "the mesh tail and the long table" ]
long mesh
s0000079
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the orange tail and the mesh table", "the mesh tail and the orange table" ]
orange mesh
s0000080
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the long tail and the sleeping cat", "the sleeping tail and the long cat" ]
long sleeping
s0000081
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the long tail and the fluffy cat", "the fluffy tail and the long cat" ]
long fluffy
s0000082
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the mesh table and the sleeping cat", "the sleeping table and the mesh cat" ]
mesh sleeping
s0000083
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the mesh table and the fluffy cat", "the fluffy table and the mesh cat" ]
mesh fluffy
s0000084
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the mesh table and the orange cat", "the orange table and the mesh cat" ]
mesh orange
s0000085
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the rusty fire hydrant and the concrete ground", "the concrete fire hydrant and the rusty ground" ]
rusty concrete
s0000086
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the white fire hydrant and the concrete ground", "the concrete fire hydrant and the white ground" ]
white concrete
s0000087
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the rusty fire hydrant and the blue sky", "the blue fire hydrant and the rusty sky" ]
rusty blue
s0000088
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the white fire hydrant and the blue sky", "the blue fire hydrant and the white sky" ]
white blue
s0000089
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the rusty fire hydrant and the painted wall", "the painted fire hydrant and the rusty wall" ]
rusty painted
s0000090
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the concrete ground and the blue sky", "the blue ground and the concrete sky" ]
concrete blue
s0000091
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the concrete ground and the painted wall", "the painted ground and the concrete wall" ]
concrete painted
s0000092
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the concrete ground and the white wall", "the white ground and the concrete wall" ]
concrete white
s0000093
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the concrete ground and the white building", "the white ground and the concrete building" ]
concrete white
s0000094
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the blue sky and the painted wall", "the painted sky and the blue wall" ]
blue painted
s0000095
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the blue sky and the white wall", "the white sky and the blue wall" ]
blue white
s0000096
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the blue sky and the white building", "the white sky and the blue building" ]
blue white
s0000097
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the black laptop and the stacked books", "the stacked laptop and the black books" ]
black stacked
s0000098
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the black laptop and the vertical blinds", "the vertical laptop and the black blinds" ]
black vertical
s0000099
hf://datasets/haideraltahan/wds_vg_attribution@c93d830289a9eb99634a3f0429647554bd33b4b2/test/0.tar
[ "the black laptop and the brown blinds", "the brown laptop and the black blinds" ]
black brown