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Datasets:
gamusa
/
textvqa-canonical

Tasks:
Visual Question Answering
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Formats:
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Size:
10K - 100K
Tags:
textvqa
scene-text
canonical
crossvqa
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sample_id
large_stringlengths
9
13
domain_type
large_stringclasses
1 value
split
large_stringclasses
1 value
question_id
large_stringlengths
1
5
question
large_stringlengths
10
151
question_tokens
listlengths
2
33
image_id
large_stringlengths
16
16
image
dict
image_width
int64
259
6k
image_height
int64
257
4.61k
answers
listlengths
10
10
canonical_answer
large_stringlengths
1
177
ocr_tokens
listlengths
0
100
ocr_boxes
listlengths
0
100
metadata
large_stringlengths
109
780
textvqa_0
scene_text
train
0
what is the brand of phone?
[ "what", "is", "the", "brand", "of", "phone" ]
0054c91397f2fe05
{ "bytes": [ 255, 216, 255, 224, 0, 16, 74, 70, 73, 70, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 255, 219, 0, 67, 0, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 2, 2, 2, 2, 4, ...
1,024
730
[ "nokia", "nokia", "nokia", "nokia", "toshiba", "nokia", "nokia", "nokia", "nokia", "nokia" ]
nokia
[ "MIA", "NOKIA" ]
[ [ 430, 321, 460, 352 ], [ 458, 327, 487, 377 ] ]
{"image_classes": ["Belt", "Headphones", "Goggles", "Scale", "Bottle opener", "Mobile phone", "Mirror", "Digital clock", "Television", "Telephone", "Tool", "Wheel", "Camera", "Watch", "Glasses", "Aircraft"], "flickr_original_url": "https://farm6.staticflickr.com/2891/9134076951_f65b421097_o.jpg"}
textvqa_1
scene_text
train
1
what type of plane is this?
[ "what", "type", "of", "plane", "is", "this" ]
005635e119b9f32f
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBw(...TRUNCATED)
1,024
667
[ "lape", "cargo", "ec-agg", "lape", "lape", "lape", "lape", "lape", "lape", "airplane" ]
lape
[ "GOELANI", "LAPE", "EC-AGG", "EC", "AGG" ]
[ [ 472, 104, 517, 182 ], [ 461, 516, 500, 592 ], [ 491, 234, 583, 385 ], [ 530, 240, 576, 295 ], [ 502, 311, 557, 376 ] ]
"{\"image_classes\": [\"Vehicle\", \"Helicopter\", \"Airplane\", \"Bomb\", \"Aircraft\"], \"flickr_o(...TRUNCATED)
textvqa_2
scene_text
train
2
what are the letters on the tail section of the plane?
[ "what", "are", "the", "letters", "on", "the", "tail", "section", "of", "the", "plane" ]
005635e119b9f32f
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBw(...TRUNCATED)
1,024
667
[ "ec agg", "ec-agg", "ec", "ec-agg", "ec", "ec", "ec", "ec", "ec goeland", "ec" ]
ec
[ "GOELANI", "LAPE", "EC-AGG", "EC", "AGG" ]
[ [ 472, 104, 517, 182 ], [ 461, 516, 500, 592 ], [ 491, 234, 583, 385 ], [ 530, 240, 576, 295 ], [ 502, 311, 557, 376 ] ]
"{\"image_classes\": [\"Vehicle\", \"Helicopter\", \"Airplane\", \"Bomb\", \"Aircraft\"], \"flickr_o(...TRUNCATED)
textvqa_3
scene_text
train
3
who is this copyrighted by?
[ "who", "is", "this", "copyrighted", "by" ]
00685bc495504d61
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBw(...TRUNCATED)
786
1,024
["simon clancy","simon ciancy","simon clancy","simon clancy","the brand is bayard","simon clancy","s(...TRUNCATED)
simon clancy
[ "Vingin", "SONOOOOL", "VH-VXU", "Copyright", "Simon", "Clancy", "RWY34.COM" ]
[[527,153,587,245],[595,845,613,986],[611,844,626,908],[979,3,1000,139],[981,144,999,232],[980,240,9(...TRUNCATED)
"{\"image_classes\": [\"Vehicle\", \"Tower\", \"Airplane\", \"Aircraft\"], \"flickr_original_url\": (...TRUNCATED)
textvqa_4
scene_text
train
4
what brand is on the plane?
[ "what", "brand", "is", "on", "the", "plane" ]
00685bc495504d61
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBw(...TRUNCATED)
786
1,024
["virgin is the brand on the plane.","virgin mobile","virgin","virgin","virgin","virgin","virgin","v(...TRUNCATED)
virgin
[ "Vingin", "SONOOOOL", "VH-VXU", "Copyright", "Simon", "Clancy", "RWY34.COM" ]
[[527,153,587,245],[595,845,613,986],[611,844,626,908],[979,3,1000,139],[981,144,999,232],[980,240,9(...TRUNCATED)
"{\"image_classes\": [\"Vehicle\", \"Tower\", \"Airplane\", \"Aircraft\"], \"flickr_original_url\": (...TRUNCATED)
textvqa_5
scene_text
train
5
what year is shown in the photo?
[ "what", "year", "is", "shown", "in", "the", "photo" ]
006d10667d17b924
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBw(...TRUNCATED)
1,024
768
[ "2011", "2011", "2011", "2011", "2011", "2011", "2011", "2011", "2011", "2011" ]
2011
["meeny","rimini","DIVENTA","UNA","IM","H.G.","G.ARMIAH","VGISTEIZA","21.27","AGOSTO","2011","meetin(...TRUNCATED)
[[111,405,249,602],[164,408,205,463],[415,692,537,852],[339,859,428,954],[320,954,387,995],[538,455,(...TRUNCATED)
"{\"image_classes\": [\"Person\", \"Woman\", \"Man\", \"Tree\", \"Clothing\", \"Airplane\", \"Human (...TRUNCATED)
textvqa_6
scene_text
train
6
what type of meeting is it?
[ "what", "type", "of", "meeting", "is", "it" ]
006d10667d17b924
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBw(...TRUNCATED)
1,024
768
["rimini","royal theater","rimini","rimini","rimini meeting","rimini","rimini meeting","rimini","rim(...TRUNCATED)
rimini
["meeny","rimini","DIVENTA","UNA","IM","H.G.","G.ARMIAH","VGISTEIZA","21.27","AGOSTO","2011","meetin(...TRUNCATED)
[[111,405,249,602],[164,408,205,463],[415,692,537,852],[339,859,428,954],[320,954,387,995],[538,455,(...TRUNCATED)
"{\"image_classes\": [\"Person\", \"Woman\", \"Man\", \"Tree\", \"Clothing\", \"Airplane\", \"Human (...TRUNCATED)
textvqa_7
scene_text
train
7
what is the name of this plane?
[ "what", "is", "the", "name", "of", "this", "plane" ]
00c359f294f7dcd9
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBw(...TRUNCATED)
1,024
680
[ "g-atco", "g-atco", "g-atco", "g-atco", "g-atco", "g atco", "g-atco", "g-atco", "g-atco", "g-atco" ]
g-atco
[ "G-ATCO" ]
[ [ 546, 316, 616, 430 ] ]
"{\"image_classes\": [\"Vehicle\", \"Helicopter\", \"Airplane\", \"Aircraft\"], \"flickr_original_ur(...TRUNCATED)
textvqa_8
scene_text
train
8
what is the plane's call sign?
[ "what", "is", "the", "plane", "'", "s", "call", "sign" ]
00c359f294f7dcd9
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBw(...TRUNCATED)
1,024
680
[ "g-atco", "g-atco", "g-atco", "g-atco", "g-atco", "g-atco", "g-atco", "g-atco", "g-atco", "g-atco" ]
g-atco
[ "G-ATCO" ]
[ [ 546, 316, 616, 430 ] ]
"{\"image_classes\": [\"Vehicle\", \"Helicopter\", \"Airplane\", \"Aircraft\"], \"flickr_original_ur(...TRUNCATED)
textvqa_9
scene_text
train
9
what letter is on the plane's tail?
[ "what", "letter", "is", "on", "the", "plane", "'", "s", "tail" ]
0122c5279a501df2
{"bytes":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgICAgUEBAMEBgUGBgYFBgYGBwkIBgcJBw(...TRUNCATED)
1,024
683
[ "f", "f", "f", "f", "f", "f", "f", "f", "f", "f" ]
f
[]
[]
"{\"image_classes\": [\"Vehicle\", \"Airplane\", \"Aircraft\"], \"flickr_original_url\": \"https://f(...TRUNCATED)
End of preview. Expand in Data Studio

textvqa-canonical

Normalized Canonical Dataset for CrossVQA Benchmark with Page-Indexed Parquet Shards.
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Number of rows:
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Total file size:
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