haideraltahan/wds_vg_attribution · Datasets at Hugging Face

__key__ stringlengths 8 8	__url__ stringclasses 10 values	npy sequencelengths 2 2	split.txt stringlengths 6 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

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