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27
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---|---|---|---|---|
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 |
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