Datasets:
CVasNLPExperiments
/
VQAv2_minival_no_image_google_flan_t5_xl_mode_C_Q_rices_ns_25994

Dataset card Viewer Files Community
id
int64
0
26k
question
stringlengths
10
98
true_label
sequence
prediction
stringlengths
0
65
100
What is the man wearing?
[ "ski suit", "ski equipment", "ski gear", "ski suit", "goggles", "jacket and pants", "jacket", "jacket glove helmet and pants", "ski coat", "jacket" ]
boots
101
How many propellers on the plane?
[ "4", "4", "4", "4", "4", "4", "4", "4", "4", "4" ]
4
102
What letter is on the tail?
[ "", "", "", "", "", "", "", "", "", "" ]
103
How many planes are flying?
[ "5", "5", "5", "5", "5", "5", "5", "5", "5", "5" ]
1
104
What is the cat doing?
[ "drinking", "drinking", "drinking", "playing with cup", "touching liquid in cup", "getting liquid from cup", "drinking", "playing", "drinking", "drinking" ]
3
105
Who the bad dog?
[ "cat", "cat", "cat", "this dog", "cat", "dog on bed", "cat", "cat", "no 1", "cat" ]
cat
106
Is the light on?
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
no
107
What pattern is repeated on the linens?
[ "checkered", "aztec", "floral", "geometric", "checker", "southwestern", "geometric", "triangles", "triangles", "triangles" ]
stripes
108
What pattern is the fabric of the couch?
[ "solid", "triangles", "tribal", "solid white", "cotton", "suede", "triangles", "suede", "multi", "geometrical" ]
plaid
109
How many couches?
[ "2", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
3
110
Is the remote control on the table?
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
111
What color are the walls?
[ "maroon", "red", "terra cotta and yellow", "red", "burgundy", "burnt orange and yellow", "red and yellow", "red yellow", "orange yellow", "red" ]
white
112
Is this house comfy?
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
113
Are the sheep looking for food?
[ "yes", "yes", "no", "yes", "yes", "yes", "yes", "yes", "no", "snowy" ]
yes
114
Is the snow melting?
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
115
Can you see the grass?
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
116
What are the sheep standing on?
[ "snow", "snow", "snow", "snow", "snow ground", "snow", "snow", "snow", "snow", "snow" ]
snow
117
Has it snowed recently?
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
118
What are the livestock looking for?
[ "shelter", "shelter", "food", "food", "food", "food", "food", "barn", "food", "food" ]
food
119
Is it snowing?
[ "yes", "no", "no", "yes", "yes", "no", "no", "yes", "no", "no" ]
yes
120
Is there an outlet on the wall?
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
no
121
What is the girl eating?
[ "banana", "banana", "eating", "banana", "banana", "banana", "banana", "banana", "banana", "banana" ]
banana
122
How is the woman holding the fruit in her mouth?
[ "hand", "banana", "biting it", "hand", "hand", "hand", "with hand", "banana", "provocatively", "with her hand" ]
123
What is the name of the fruit the girl in the picture is holding?
[ "banana", "banana", "banana", "banana", "banana", "banana", "banana", "banana", "banana", "banana" ]
banana
124
Does this woman enjoy the fruit in her mouth?
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
125
What is hanging on the wall?
[ "bicycle", "bike", "bike", "bicycle", "bicycle", "bicycle", "bike", "bicycle", "bike", "bike" ]
banana
126
Does this photo creep you out?
[ "yes", "no", "no", "no", "yes", "no", "yes", "yes", "yes", "yes" ]
no
127
What kind of does the woman have in her mouth?
[ "banana", "banana", "banana", "banana", "banana", "banana", "banana", "banana", "banana", "banana" ]
banana
128
What type of hairstyle is this?
[ "bob", "dyed", "short", "asymmetrical", "short", "bob", "short", "short", "bob", "emo" ]
afro
129
Is there any lemonade packets here?
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
130
What utensil is being used?
[ "spoon", "spoon", "spoon", "spoon", "spoon", "spoon", "spoon", "spoon", "spoon", "spoon" ]
spoon
131
What meal of the day does one assume this is for?
[ "lunch", "dinner", "dinner", "dinner", "dinner", "dinner", "lunch", "lunch", "dinner", "dinner" ]
breakfast
132
What is this meal?
[ "beef burgundy", "beef stew", "stew", "beef and gravy", "roast", "beef with gravy", "lunch", "dinner", "chinese", "hot beef" ]
b
133
How are the eggs cooked?
[ "over easy", "scrambled", "scrambled", "baked", "fried", "sunnyside", "not eggs", "poached", "1", "scrambled" ]
they are fried
134
Is this healthy?
[ "no", "yes", "no", "no", "yes", "no", "no", "no", "no", "no" ]
no
135
How many elephants are pictured in this photo?
[ "4", "3", "03", "4", "4", "3", "3", "3", "3", "4" ]
2
136
Are the animals in the wild?
[ "yes", "yes", "yes", "yes", "yes", "yes", "no", "yes", "yes", "yes" ]
yes
137
What type of enclosure is this?
[ "no enclosure", "elephants", "zoo", "open", "watering hole", "zoo", "close", "wild", "there is no enclosure", "no enclosure" ]
elephant
138
Are the elephants cuddling?
[ "nothing", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
yes
139
Are these animals all touching?
[ "no", "no", "yes", "no", "yes", "no", "no", "no", "no", "no" ]
yes
140
How long is this trunk?
[ "3 feet", "2.5 feet", "3 feet", "3 feet", "short", "7 feet", "long", "3 feet", "small", "3 feet" ]
d
141
Are the elephants facing in the same direction?
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
142
How many elephants?
[ "3", "3", "4", "3", "3", "4", "3", "3", "4", "3" ]
2
143
How many baby elephants are present?
[ "1", "3", "2", "2", "4", "2", "2", "2", "2", "2" ]
1
144
What is the elephant doing?
[ "yawning", "trumpeting", "drinking", "drinking", "drinking", "raising its trunk", "drinking water", "drinking water", "drinking", "drinking water" ]
c
145
How many elephants are there?
[ "3", "3", "3", "3", "4", "3", "3", "3", "3", "4" ]
2
146
Is this a wild elephant?
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "probably", "yes", "yes" ]
yes
147
Does the smaller elephant have tusks?
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
no
148
Are all of the elephants adults?
[ "no", "no", "no", "no", "no", "no", "yes", "no", "no", "no" ]
no
149
What are the elephants leaning standing in front of?
[ "water", "water", "water", "water", "pond", "river", "elephants", "body of water", "body of water", "river" ]
trees
150
Are these elephants touching each other?
[ "no", "no", "no", "yes", "no", "no", "no", "yes", "no", "no" ]
yes
151
Do all the elephants have their trunks up?
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
152
How many tusks are visible?
[ "4", "6", "3", "4", "2", "3", "3", "4", "3", "3" ]
2
153
Are these elephants inside of a fenced area?
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
154
Does this elephant have tusks?
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
no
155
Is this animal resting?
[ "no", "no", "no", "no", "no", "no", "no", "yes", "no", "no" ]
no
156
Is this their natural environment?
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
no
157
Is it a cloudy day?
[ "no", "no", "yes", "no", "no", "no", "no", "no", "no", "no" ]
no
158
What landform is in the distance?
[ "clift", "cliffs", "island", "mountain", "island", "island", "mountain", "hill", "yes", "mountains" ]
mountain
159
What is floating in the sky?
[ "kites", "kites", "sail", "parasails", "kites", "kites", "parasail", "kites", "kite", "kites" ]
kite
160
Are there two people walking the horse?
[ "no", "no", "no", "no", "no", "no", "no", "yes", "no", "no" ]
no
161
Where is the horse?
[ "track", "on track", "racetrack", "track", "arena", "race", "racetrack", "walking", "track", "at track" ]
b
162
What color are the horses?
[ "brown", "brown", "brown", "black", "brown", "brown", "brown", "brown", "brown", "brown" ]
white
163
What number is the horse?
[ "6", "6", "6", "6", "6", "6", "6", "6", "6", "6" ]
1
164
How many photographers are looking at this horse?
[ "1", "6", "6", "6", "1", "6", "7", "3", "6", "6" ]
1
165
Is the anything in the blender?
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
no
166
What color is the blender?
[ "white", "white", "white", "white", "white", "white", "white", "white", "white", "white" ]
black
167
What is the brand of the soda?
[ "canada dry", "canada dry", "canada", "canada dry", "canada dry", "canada dry", "canada dry", "canada dry", "canada dry", "canada dry" ]
no
168
Is this a pro game?
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
169
What are these people doing?
[ "baseball", "playing baseball", "playing baseball", "baseball", "playing baseball", "playing baseball", "playing baseball", "playing baseball", "baseball", "playing baseball" ]
c
170
Are they playing during the day?
[ "yes", "yes", "yes", "yes", "no", "yes", "yes", "yes", "yes", "yes" ]
yes
171
What is green?
[ "grass trees shirt cap", "grass", "grass", "grass", "grass", "grass trees", "grass and bushes", "grass", "grass and trees", "grass and trees" ]
field
172
Are the two players on the same team?
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
173
Is this baseball player holding a bat?
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
yes
174
What are the color of the shirts in the image?
[ "white and green", "white and green", "white", "white and green", "green and white", "white and green", "white green", "white and green", "white", "white green" ]
white
175
Could this sport be considered dangerous?
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
yes
176
How many paddles are over the rafter's heads?
[ "0", "0", "0", "0", "1", "1", "0", "0", "0", "0" ]
2
177
Is this picture of the Columbia River gorge?
[ "maybe", "yes", "no", "yes", "yes", "yes", "yes", "no", "no", "yes" ]
no
178
Is this person in danger?
[ "no", "no", "yes", "yes", "no", "no", "yes", "yes", "no", "no" ]
no
179
What color boat is the man riding in?
[ "red", "red", "red", "orange", "red", "red", "red", "red", "orange", "orange" ]
white
180
What animal is she cuddling?
[ "teddy bear", "bear", "bear", "bear", "teddy bear", "bear", "teddy bear", "bear", "teddy bear", "bear" ]
stuffed animal
181
Is she sleeping?
[ "yes", "yes", "yes", "yes", "yes", "yes", "no", "yes", "yes", "yes" ]
yes
182
What do humans get from cuddling creatures like this?
[ "sleep", "comfort", "comfort", "love", "comfort", "comfort", "comfort", "comfort", "calming effect", "comfort" ]
4
183
Is the plane getting ready to take off?
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "no", "yes" ]
yes
184
Is it raining in the picture?
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
185
What is wrote on the side of the plane?
[ "lufthansa", "lufthansa", "lufthansa", "lufthansa", "lufthansa", "lufthansa", "lufthansa", "lufthansa", "lufthansa", "lufthansa" ]
186
What airline is advertised on the side of the aircraft?
[ "lufthansa", "lufthansa", "lufthansa", "lufthansa", "lufthansa", "lufthansa", "lufthansa", "lufthansa", "lufthansa", "lufthansa" ]
american
187
Do planes travel through the earth's atmosphere?
[ "yes", "yes", "yes", "no", "yes", "no", "no", "yes", "yes", "no" ]
yes
188
How many red ties are around the teddy bears necks?
[ "0", "0", "0", "1", "1", "0", "0", "0", "0", "0" ]
2
189
How many bears are in the picture?
[ "2", "2", "2", "2", "2", "2", "2", "2", "2", "2" ]
2
190
What teddy bear is taller?
[ "left 1", "left", "left", "left", "bear on left", "on left", "left", "bigger 1", "with bow", "left" ]
191
Are the bears eyes open or close?
[ "open", "no", "open", "open", "closed", "open", "open", "open", "open", "open" ]
close
192
What are the bears sitting on?
[ "bed", "bed", "couch", "bed", "blanket", "bed", "bed", "table", "bed", "sofa" ]
couch
193
What is around the bears neck?
[ "bowtie", "bow tie", "bow", "bow", "bowtie", "bow", "bow tie", "bow tie", "bowtie", "ribbons" ]
scarf
194
Is it snowing?
[ "no", "no", "no", "no", "no", "no", "yes", "no", "no", "no" ]
yes
195
Is the person wearing a costume?
[ "no", "no", "no", "no", "no", "no", "no", "no", "no", "no" ]
no
196
What is the man doing?
[ "skiing", "standing", "skiing", "skiing", "skiing", "skiing", "skiing", "skiing", "skiing", "skiing" ]
c
197
What color is the man's jacket?
[ "red and white", "red", "red and white", "red", "red", "red white", "red and white", "red and white", "red", "red" ]
white
198
What color is the sky?
[ "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue" ]
blue
199
Does he match?
[ "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes" ]
no