Datasets:
image stringlengths 78 78 | conversations listlengths 2 2 | id stringlengths 31 35 | source stringclasses 1
value |
|---|---|---|---|
images/f7/f75d6728527fa341743f81ef0c42651c114f8650c0585fd9bdaf2f70f7ff48c4.png | [
{
"from": "human",
"value": "<image>\nwho is leading the mini-innovation workshop?\n"
},
{
"from": "gpt",
"value": "beth kanter"
}
] | textvqa_train_format_new.json-31294 | textvqa_train_format_new.json |
images/2f/2f0897ac270ba8df4329f2b39dbc9c835381e274f52db18e2520195fc190baec.png | [
{
"from": "human",
"value": "<image>\nwhat is the brand of wine here?\n"
},
{
"from": "gpt",
"value": "tapiz"
}
] | textvqa_train_format_new.json-32351 | textvqa_train_format_new.json |
images/bc/bc71c716fb9092e66f93814db78e58051b58973e11ab0b82348295d0de6c5c51.png | [
{
"from": "human",
"value": "<image>\nwhat letter is printed on the cap of this baseball player?\n"
},
{
"from": "gpt",
"value": "p"
}
] | textvqa_train_format_new.json-20360 | textvqa_train_format_new.json |
images/d7/d7b93a206941f4c4f337974d694e1ac0be093257e62eb58bb02af3b720b3bc47.png | [
{
"from": "human",
"value": "<image>\nwhen was this made?\n"
},
{
"from": "gpt",
"value": "2009"
}
] | textvqa_train_format_new.json-32688 | textvqa_train_format_new.json |
images/c0/c092c7f0d3bbc3591f02bfd3e933dce01dba8ab75a6613966bc5bcbd1a7ec4bd.png | [
{
"from": "human",
"value": "<image>\nwhat is the team name?\n"
},
{
"from": "gpt",
"value": "eaglebrook"
}
] | textvqa_train_format_new.json-24036 | textvqa_train_format_new.json |
images/71/7146406d74eb9100385b2181fe53dfc52eb7b01276e1a65d7c291b9dd04e30b5.png | [
{
"from": "human",
"value": "<image>\nwhat brand of phones are these?\n"
},
{
"from": "gpt",
"value": "huawei"
}
] | textvqa_train_format_new.json-25877 | textvqa_train_format_new.json |
images/67/67bac25feb5235b4fc41b2d64c9b8570416d641192ef21d1ae0073a658704fa9.png | [
{
"from": "human",
"value": "<image>\nwhat types of drinks are on the table?\n"
},
{
"from": "gpt",
"value": "angone"
}
] | textvqa_train_format_new.json-5492 | textvqa_train_format_new.json |
images/ce/cef28e54b7429a3901dc42bd645bd27d3c89877a750766477e4db2a0f803ff3e.png | [
{
"from": "human",
"value": "<image>\nare these asian treats?\n"
},
{
"from": "gpt",
"value": "yes"
}
] | textvqa_train_format_new.json-27024 | textvqa_train_format_new.json |
images/1e/1e16835054051515d1b46da465af956e2fe29a0467787a0ae764c91cd45fbec2.png | [
{
"from": "human",
"value": "<image>\nwhat kind of fruit pies are these?\n"
},
{
"from": "gpt",
"value": "hostess"
}
] | textvqa_train_format_new.json-4051 | textvqa_train_format_new.json |
images/58/581375560f445c59918cd3aecb27898a9ac7eab0f5837729db8bfaeb2bbf83c7.png | [
{
"from": "human",
"value": "<image>\nwhat brand is on the back brick wall?\n"
},
{
"from": "gpt",
"value": "levis"
}
] | textvqa_train_format_new.json-20957 | textvqa_train_format_new.json |
images/43/43b7b4c2b311eaadca628aa240b57a15fd84b49d6be6946e1ef7c5a60cc5f942.png | [
{
"from": "human",
"value": "<image>\nwhat word is written here?\n"
},
{
"from": "gpt",
"value": "bacon"
}
] | textvqa_train_format_new.json-31417 | textvqa_train_format_new.json |
images/46/469582601b3b918a9c4205166eed6f3bda6e8ee499013110722b80001470b15e.png | [
{
"from": "human",
"value": "<image>\nwhat color is the text on this page?\n"
},
{
"from": "gpt",
"value": "black"
}
] | textvqa_train_format_new.json-17283 | textvqa_train_format_new.json |
images/d3/d325ce87cffcb0a67bf710e2296f0113b0c08e73420ffaa64413940a16687938.png | [
{
"from": "human",
"value": "<image>\nwho made the phone?\n"
},
{
"from": "gpt",
"value": "samsung"
}
] | textvqa_train_format_new.json-7852 | textvqa_train_format_new.json |
images/15/15bcbb24d1fd7b5554f6d62a82ea86e59a035401e81a2d97b507dec562dd95ed.png | [
{
"from": "human",
"value": "<image>\nthis a laptop using internet?\n"
},
{
"from": "gpt",
"value": "yes"
}
] | textvqa_train_format_new.json-9654 | textvqa_train_format_new.json |
images/55/55be46c625754e1b87eb120f5847a0dfada639e419f715b4f208d52f7ca23eb1.png | [
{
"from": "human",
"value": "<image>\nwhat company made the computer moniter?\n"
},
{
"from": "gpt",
"value": "acer"
}
] | textvqa_train_format_new.json-26351 | textvqa_train_format_new.json |
images/f7/f7e1fee90e146c7d634b90c0df1ab6a8d27410924065dd1be49f95abdbac1fdc.png | [
{
"from": "human",
"value": "<image>\nwhat time is it?\n"
},
{
"from": "gpt",
"value": "1:55"
}
] | textvqa_train_format_new.json-30082 | textvqa_train_format_new.json |
images/26/26547218276260022f25d915ad824fe8c8bf4385230891906f1affc59220156e.png | [
{
"from": "human",
"value": "<image>\nwhat kind of vodka is on the shelf?\n"
},
{
"from": "gpt",
"value": "grey goose"
}
] | textvqa_train_format_new.json-7295 | textvqa_train_format_new.json |
images/92/9200310e1f894c86059d03371b02e83b945dc361344df27d6fb002fdaac83484.png | [
{
"from": "human",
"value": "<image>\nwho is the author of this book?\n"
},
{
"from": "gpt",
"value": "diane carey"
}
] | textvqa_train_format_new.json-17469 | textvqa_train_format_new.json |
images/74/7458fe332b6925a8d87c3e55bcd8455fed3d716ff0f293f6e0ea8c26cd89e21b.png | [
{
"from": "human",
"value": "<image>\nwhat is one of their sponsors?\n"
},
{
"from": "gpt",
"value": "bud light"
}
] | textvqa_train_format_new.json-22587 | textvqa_train_format_new.json |
images/93/93d11ae9b85b4fb0f760de4d9f02156b2fbdc4d714a53ac16acc4ec15a04167d.png | [
{
"from": "human",
"value": "<image>\nis the beer imported?\n"
},
{
"from": "gpt",
"value": "yes"
}
] | textvqa_train_format_new.json-7351 | textvqa_train_format_new.json |
images/df/df5ba15202b089659aefcf7c732dc13695a2113971c1e8704997bfffd1f944ca.png | [
{
"from": "human",
"value": "<image>\nwhat does the bus sell?\n"
},
{
"from": "gpt",
"value": "books, posters, buttons, dvds, dolls"
}
] | textvqa_train_format_new.json-26165 | textvqa_train_format_new.json |
images/b6/b6708baa2e4e9070645ddca02314fb92fb1e0ed1100a8310921ca2b9c31dd040.png | [
{
"from": "human",
"value": "<image>\nwhat genre is this book?\n"
},
{
"from": "gpt",
"value": "comedie"
}
] | textvqa_train_format_new.json-2582 | textvqa_train_format_new.json |
images/2e/2e78897eedbf805c06c28615f88b6c4efdc8b3b572dc1d9e21db776526bf5563.png | [
{
"from": "human",
"value": "<image>\nwhat kind of supplies are being sold?\n"
},
{
"from": "gpt",
"value": "school"
}
] | textvqa_train_format_new.json-10615 | textvqa_train_format_new.json |
images/cd/cd5c27e589148e49d41dae88e31adb4c3a22063fd52c150c0714616498997adb.png | [
{
"from": "human",
"value": "<image>\nwhat is the sign pointing toward?\n"
},
{
"from": "gpt",
"value": "medinaceli"
}
] | textvqa_train_format_new.json-27707 | textvqa_train_format_new.json |
images/83/837d14edeaf6e5fa53fbf2e3a34a39a412a1cd4950f6a57ac78d47edff06cc5a.png | [
{
"from": "human",
"value": "<image>\nwhat number is the player on the very left?\n"
},
{
"from": "gpt",
"value": "10"
}
] | textvqa_train_format_new.json-23548 | textvqa_train_format_new.json |
images/5d/5dc7aca39d71e959d612982d11c52b43c86e089de7732a222e48a6117a2ddced.png | [
{
"from": "human",
"value": "<image>\nwhat is the smallest bill?\n"
},
{
"from": "gpt",
"value": "50"
}
] | textvqa_train_format_new.json-9050 | textvqa_train_format_new.json |
images/19/19c2d4cbc907d6b8865f113fa8fd13fa34df62129bbca3d3d8333003ccd335a2.png | [
{
"from": "human",
"value": "<image>\nare there ones and zeros in the blocks?\n"
},
{
"from": "gpt",
"value": "yes"
}
] | textvqa_train_format_new.json-33418 | textvqa_train_format_new.json |
images/0b/0bb6077f5a776d7ffbda507559f47d4217021d5c21c54272071a7aa360332c2d.png | [
{
"from": "human",
"value": "<image>\nwhat date is on the watch?\n"
},
{
"from": "gpt",
"value": "2 15"
}
] | textvqa_train_format_new.json-30902 | textvqa_train_format_new.json |
images/e1/e1582d4b9fbc64e3da4b10d9c137ce09afda6f26fb7731c85aa6a942fc3ce910.png | [
{
"from": "human",
"value": "<image>\nwhat is the name of player shown on sign?\n"
},
{
"from": "gpt",
"value": "jamison"
}
] | textvqa_train_format_new.json-18595 | textvqa_train_format_new.json |
images/fc/fce98483f8b653022dca28bff2a73802330ec01542068fe61e7b9b2b27fed691.png | [
{
"from": "human",
"value": "<image>\nwhat is the man in blues jersey number?\n"
},
{
"from": "gpt",
"value": "5"
}
] | textvqa_train_format_new.json-19938 | textvqa_train_format_new.json |
images/a4/a42caf34e1f9a5b2231f563d90e4b66223f3b8010a6a29498e2b8a8e918c7b40.png | [
{
"from": "human",
"value": "<image>\nwhat kind of business is this?\n"
},
{
"from": "gpt",
"value": "bindery"
}
] | textvqa_train_format_new.json-10477 | textvqa_train_format_new.json |
images/dc/dc49c4289f2928f8c7fb9ba9acba35015d7b35cea71070fdf41cc459e9a8f291.png | [
{
"from": "human",
"value": "<image>\nwhat street is the sign on?\n"
},
{
"from": "gpt",
"value": "12th"
}
] | textvqa_train_format_new.json-27791 | textvqa_train_format_new.json |
images/f2/f2943cd8575616d856a969b9ff9cc879526ac93349f7751ce862c8345123abe1.png | [
{
"from": "human",
"value": "<image>\nwhat are the first two words printed on this label, on the narrow part, near the neck of the bottle?\n"
},
{
"from": "gpt",
"value": "dutch rum"
}
] | textvqa_train_format_new.json-7344 | textvqa_train_format_new.json |
images/75/7566df0c67493c905e4465f86e6587aeb4ba165ab5c2cf175a47d24184b19634.png | [
{
"from": "human",
"value": "<image>\nwhat is the sign on the bottom right?\n"
},
{
"from": "gpt",
"value": "do not enter"
}
] | textvqa_train_format_new.json-24640 | textvqa_train_format_new.json |
images/fb/fbea611c3fec071ce01f5a1ddda0245fb9ba98c15e44abc31dca933646a63ad5.png | [
{
"from": "human",
"value": "<image>\nwaht is the second word on the book?\n"
},
{
"from": "gpt",
"value": "marine"
}
] | textvqa_train_format_new.json-4495 | textvqa_train_format_new.json |
images/19/194f9fbddd3e916a1c547e9928ec1ab30d30eb99bb2186cb9c7f0acb4c97ce81.png | [
{
"from": "human",
"value": "<image>\nwhat kind of art is this?\n"
},
{
"from": "gpt",
"value": "art dolls"
}
] | textvqa_train_format_new.json-23583 | textvqa_train_format_new.json |
images/52/5226882c0e2d2bbb319eec2216da671adb4477984d170b16b1cc645ffacf1eb0.png | [
{
"from": "human",
"value": "<image>\nwhat does the card wish?\n"
},
{
"from": "gpt",
"value": "peace"
}
] | textvqa_train_format_new.json-11624 | textvqa_train_format_new.json |
images/e5/e5c7c2979abf834e8519f5c945878858e57e70020a25467ea6af9d7419ff7dd5.png | [
{
"from": "human",
"value": "<image>\nwhat year was the company established?\n"
},
{
"from": "gpt",
"value": "1824"
}
] | textvqa_train_format_new.json-32456 | textvqa_train_format_new.json |
images/1c/1c00eee2c05a33d42281448044ff70aa1fd8ba7c9e5515b771220e01a3617b58.png | [
{
"from": "human",
"value": "<image>\nhow many ml is in this bottle?\n"
},
{
"from": "gpt",
"value": "110"
}
] | textvqa_train_format_new.json-5825 | textvqa_train_format_new.json |
images/8d/8d7af2377dcbc25c427ca82b6c130b797d03bc43b2e36458c97aab26a2e619e5.png | [
{
"from": "human",
"value": "<image>\nwhat does the text in bold say?\n"
},
{
"from": "gpt",
"value": "unanswerable"
}
] | textvqa_train_format_new.json-9649 | textvqa_train_format_new.json |
images/93/937122346d501730ce2499ae6e956bb0e4892dac12aee03aca45f680179bc3f6.png | [
{
"from": "human",
"value": "<image>\nwhat deli is shown?\n"
},
{
"from": "gpt",
"value": "joe's"
}
] | textvqa_train_format_new.json-8276 | textvqa_train_format_new.json |
images/e3/e3d6b8aead5cde86e133c69ec6cec48171559f104a89b3b3b22dba5418c0485f.png | [
{
"from": "human",
"value": "<image>\nwhat name is on the red portion of the front sign?\n"
},
{
"from": "gpt",
"value": "benjamin moore"
}
] | textvqa_train_format_new.json-24513 | textvqa_train_format_new.json |
images/99/99c767f38b4e11db510d485b045308eb379f15de9e60de918021dd220b1ec406.png | [
{
"from": "human",
"value": "<image>\nwhat does this shop sell?\n"
},
{
"from": "gpt",
"value": "souvenirs"
}
] | textvqa_train_format_new.json-10728 | textvqa_train_format_new.json |
images/11/118697a2716c49d60f861ab5ff8874f3d8049c8545c260141989b19f49a1c0e9.png | [
{
"from": "human",
"value": "<image>\nwhat kind of soda is in the cooler?\n"
},
{
"from": "gpt",
"value": "pepsi"
}
] | textvqa_train_format_new.json-7297 | textvqa_train_format_new.json |
images/e8/e8d5aa8b7652a4a949391a7345f54e1540297068b21691c8b4e19861f4196b2e.png | [
{
"from": "human",
"value": "<image>\nwhat website does this have listed for the photographer?\n"
},
{
"from": "gpt",
"value": "lemondeenphoto.com"
}
] | textvqa_train_format_new.json-574 | textvqa_train_format_new.json |
images/9c/9c2a1dcb1da62bae11289703a4cc36c2b729c7bc916310e3b0c698c64db96908.png | [
{
"from": "human",
"value": "<image>\nwhat is printed on the top left corner of the monitor in this photo?\n"
},
{
"from": "gpt",
"value": "tidal bay"
}
] | textvqa_train_format_new.json-26607 | textvqa_train_format_new.json |
images/63/63c0b0bfafa828482d649c6c775d552346292cb8323d5378b3a3c6a03e327c8d.png | [
{
"from": "human",
"value": "<image>\nwhat model of whiteboard is this?\n"
},
{
"from": "gpt",
"value": "panasonic"
}
] | textvqa_train_format_new.json-31274 | textvqa_train_format_new.json |
images/f5/f5885b9013fb082f017bc955aeb6be870c7497449f4ad8ad16cf7e2916440548.png | [
{
"from": "human",
"value": "<image>\nwhat does the sign say?\n"
},
{
"from": "gpt",
"value": "i am baya"
}
] | textvqa_train_format_new.json-14773 | textvqa_train_format_new.json |
images/cd/cdaf84473fd33f120f127dd889d174770c3b9fe0e2a4ca36139b9f78c8481351.png | [
{
"from": "human",
"value": "<image>\nhow many one way streets are there?\n"
},
{
"from": "gpt",
"value": "2"
}
] | textvqa_train_format_new.json-25586 | textvqa_train_format_new.json |
images/c6/c6499032763d8fda38de3a76c4642295dab7faf894675d3da35d9ecc85e1fb48.png | [
{
"from": "human",
"value": "<image>\nwhat time is it?\n"
},
{
"from": "gpt",
"value": "3:28"
}
] | textvqa_train_format_new.json-11030 | textvqa_train_format_new.json |
images/c6/c6b70c641df73a9b4e67ec66b0c846b4304a0badcbcb36eae4978fd48a908747.png | [
{
"from": "human",
"value": "<image>\nwhere was it brewed?\n"
},
{
"from": "gpt",
"value": "aruba"
}
] | textvqa_train_format_new.json-6924 | textvqa_train_format_new.json |
images/ce/ce02ef4f090a6ead67b4057383ea31b314cd22702794cc475bb63b761d82c94e.png | [
{
"from": "human",
"value": "<image>\nphone is display?\n"
},
{
"from": "gpt",
"value": "unanswerable"
}
] | textvqa_train_format_new.json-8054 | textvqa_train_format_new.json |
images/6b/6b8a780893551e1660464243e9b7171996e6c1f4fb44454ac40b54c2e52fba82.png | [
{
"from": "human",
"value": "<image>\nwhat does true poetry care for?\n"
},
{
"from": "gpt",
"value": "nothing for poems"
}
] | textvqa_train_format_new.json-1402 | textvqa_train_format_new.json |
images/2e/2e4fa3aec85d253ea941a7f9b32b5c6d8b7314b7db1dd8d47f5b175e7818fa33.png | [
{
"from": "human",
"value": "<image>\nwhat brand is the drink?\n"
},
{
"from": "gpt",
"value": "starbucks"
}
] | textvqa_train_format_new.json-14099 | textvqa_train_format_new.json |
images/78/7893b012cbcd0029f18e19c43d0b6fd6ab08c2aaeb6fd2c12810944e3c30189a.png | [
{
"from": "human",
"value": "<image>\nwho does this book claim is intrepid?\n"
},
{
"from": "gpt",
"value": "simon templar"
}
] | textvqa_train_format_new.json-3386 | textvqa_train_format_new.json |
images/fa/facdca7ef4d3153cec4913d16d74d4e3803d2236797a27ae13cf276743192197.png | [
{
"from": "human",
"value": "<image>\nwhat number is the license plate?\n"
},
{
"from": "gpt",
"value": "zyxwvut"
}
] | textvqa_train_format_new.json-28419 | textvqa_train_format_new.json |
images/fd/fd11c9c72966c53177c9eed4f7d468a210394521dbfead00961bb665c966a9aa.png | [
{
"from": "human",
"value": "<image>\nwhat date is displayed in the beginning of a paragraph?\n"
},
{
"from": "gpt",
"value": "jan. 12, '82"
}
] | textvqa_train_format_new.json-3349 | textvqa_train_format_new.json |
images/82/822c2bfcfcd0c59b9b305ced75ca09f6bf57e0d4d65071734881070c8a84f06e.png | [
{
"from": "human",
"value": "<image>\nwhat is the title of the book?\n"
},
{
"from": "gpt",
"value": "patti di dedizione"
}
] | textvqa_train_format_new.json-2316 | textvqa_train_format_new.json |
images/52/52f6346d45ba542cd032b8f2e8174806f4a7a13fa5858644a50d8806b124bc3d.png | [
{
"from": "human",
"value": "<image>\nwhat brand of keyboard is shown?\n"
},
{
"from": "gpt",
"value": "atari"
}
] | textvqa_train_format_new.json-32833 | textvqa_train_format_new.json |
images/ee/ee169112d0ff3b0e882721e6cfc977fc4cb0180112d83768c906a05a25d7a422.png | [
{
"from": "human",
"value": "<image>\nwhat brand is this?\n"
},
{
"from": "gpt",
"value": "coasa main"
}
] | textvqa_train_format_new.json-30665 | textvqa_train_format_new.json |
images/93/93e151151c74639bc337a90e6db6523007188527ab1ba8be9297e9a35f60216a.png | [
{
"from": "human",
"value": "<image>\nwhat pizza company is on the right sign?\n"
},
{
"from": "gpt",
"value": "pizza hut"
}
] | textvqa_train_format_new.json-23607 | textvqa_train_format_new.json |
images/56/563b35b8c783868a1f23ae07af30e5ae15f18c825f40b96818dd6d1d16556a36.png | [
{
"from": "human",
"value": "<image>\nwhat type of beer is this on the left underlined?\n"
},
{
"from": "gpt",
"value": "lager"
}
] | textvqa_train_format_new.json-31926 | textvqa_train_format_new.json |
images/8e/8ea325bfec1f178172bf9aa0ecda10d13b954384a184aaa20bc17b4739b31cfb.png | [
{
"from": "human",
"value": "<image>\nwhat is the famous quote?\n"
},
{
"from": "gpt",
"value": "not all those who wander are lost"
}
] | textvqa_train_format_new.json-15724 | textvqa_train_format_new.json |
images/c9/c9a02b4d71d4158dad2c8e3f35cd3434d16e55f96d2b93661504810f406813bc.png | [
{
"from": "human",
"value": "<image>\n where was this product manufactured?\n"
},
{
"from": "gpt",
"value": "cambridge"
}
] | textvqa_train_format_new.json-31782 | textvqa_train_format_new.json |
images/c3/c3cb8f088d50771e643b91270b10db4741e45ba3ff5030a99226133e2084c177.png | [
{
"from": "human",
"value": "<image>\nwhat number is by the golf ball?\n"
},
{
"from": "gpt",
"value": "5"
}
] | textvqa_train_format_new.json-33666 | textvqa_train_format_new.json |
images/cd/cdc79850e7f7175ef9e5934ba8bc679570133a1991eb8374484786e63712d269.png | [
{
"from": "human",
"value": "<image>\nwhat kind of encyclopedia is this?\n"
},
{
"from": "gpt",
"value": "britannica"
}
] | textvqa_train_format_new.json-2585 | textvqa_train_format_new.json |
images/4b/4bb04c8062fd135a17a65410cb1ea2694afb2f3066c13590fa61af9e0b499939.png | [
{
"from": "human",
"value": "<image>\nwhat city is this?\n"
},
{
"from": "gpt",
"value": "atlanta"
}
] | textvqa_train_format_new.json-7877 | textvqa_train_format_new.json |
images/1f/1f4a0bb5fdd7564e8d8c97e61dcf06b6dc03c7f9a85d5a3701f067f8806f7bea.png | [
{
"from": "human",
"value": "<image>\nwhat is the middle letter on the player with blue shirt?\n"
},
{
"from": "gpt",
"value": "c"
}
] | textvqa_train_format_new.json-21981 | textvqa_train_format_new.json |
images/b1/b19f0bc8a9b78e8a5eeb9a32133779eb4a728f3741c480c93a3dbe11f9dfd073.png | [
{
"from": "human",
"value": "<image>\nwhat is the title?\n"
},
{
"from": "gpt",
"value": "the silver surfer"
}
] | textvqa_train_format_new.json-3341 | textvqa_train_format_new.json |
images/92/920c7a849890251638da913d047c335ad46803eb3ef34556ccfc3212109ea4a7.png | [
{
"from": "human",
"value": "<image>\nwhich hill is referenced in the book?\n"
},
{
"from": "gpt",
"value": "mandalay"
}
] | textvqa_train_format_new.json-3810 | textvqa_train_format_new.json |
images/96/96b90fec12a3ea1392d14a44a2a9ec6fc7452682c0ba3e64256caa9912bfb0a3.png | [
{
"from": "human",
"value": "<image>\nwhat tagline does team mcgraw use?\n"
},
{
"from": "gpt",
"value": "ya gotta believe"
}
] | textvqa_train_format_new.json-21295 | textvqa_train_format_new.json |
images/9f/9f80547ca10260b80e153c72395e8aa64e7fdcc9fdf1406f204493ce67e6f375.png | [
{
"from": "human",
"value": "<image>\nwhat time is displayed?\n"
},
{
"from": "gpt",
"value": "5:03"
}
] | textvqa_train_format_new.json-30303 | textvqa_train_format_new.json |
images/da/daf999e1b73f3f6a65198bd66170ad4ddc06b261d137ea7af70e0c50724dcd16.png | [
{
"from": "human",
"value": "<image>\nwhere is the company being advertised on the taxi?\n"
},
{
"from": "gpt",
"value": "roof"
}
] | textvqa_train_format_new.json-25451 | textvqa_train_format_new.json |
images/0c/0c6c4acb733f19509089d03e3ca7e4c7ba1560b3ba4889e9b6c2cb266363c9ce.png | [
{
"from": "human",
"value": "<image>\nwhat kind of fireworks are these?\n"
},
{
"from": "gpt",
"value": "standard"
}
] | textvqa_train_format_new.json-15658 | textvqa_train_format_new.json |
images/85/85180b1dbd2fd9edc2af9111d8d9ab0c2dd30e1e00e75ebf39b2dfa4fe0676db.png | [
{
"from": "human",
"value": "<image>\nwhat brand is the monitor on the right?\n"
},
{
"from": "gpt",
"value": "samsung"
}
] | textvqa_train_format_new.json-9936 | textvqa_train_format_new.json |
images/0e/0efc083cb6b9e46a567b3913f1f7703bbddcfbcb5167bb1a7fd1906001d078c7.png | [
{
"from": "human",
"value": "<image>\nwhat advertisement is on the bottom right?\n"
},
{
"from": "gpt",
"value": "sleep inn"
}
] | textvqa_train_format_new.json-18501 | textvqa_train_format_new.json |
images/64/642d4d85017474c2ffb069fb7a629bc9b798ce29c673a61f5a24213d922d7018.png | [
{
"from": "human",
"value": "<image>\nwhat number is he?\n"
},
{
"from": "gpt",
"value": "4"
}
] | textvqa_train_format_new.json-24333 | textvqa_train_format_new.json |
images/d8/d898a6fa8f1e4ec67ad52e4fc4ae79d0923366b37064a994b4d74af709504f0a.png | [
{
"from": "human",
"value": "<image>\nwhat was the final score of this game?\n"
},
{
"from": "gpt",
"value": "1-2"
}
] | textvqa_train_format_new.json-26429 | textvqa_train_format_new.json |
images/3d/3db7f05d3f7914fdf19d5a182aea845a5d509b88fe178d54a29f6d001da7da90.png | [
{
"from": "human",
"value": "<image>\nwhat does this store sell?\n"
},
{
"from": "gpt",
"value": "iron"
}
] | textvqa_train_format_new.json-8130 | textvqa_train_format_new.json |
images/fd/fdd72195fc80c4aa91ff6bf88cd9533c434abeeed21d3dc27429cdbe949b1e86.png | [
{
"from": "human",
"value": "<image>\nwhat english word is on this framed drawing?\n"
},
{
"from": "gpt",
"value": "fire"
}
] | textvqa_train_format_new.json-15125 | textvqa_train_format_new.json |
images/2f/2f2c0f491049f5bc3cbad02065d088431351c704770007e992fae6bb12cfc640.png | [
{
"from": "human",
"value": "<image>\nhow many cd's are in the box?\n"
},
{
"from": "gpt",
"value": "10"
}
] | textvqa_train_format_new.json-17608 | textvqa_train_format_new.json |
images/66/668b96cdb6e153d46d217e551ecc225651a3f5c594ecb4e71a9fbe7b7b1effd2.png | [
{
"from": "human",
"value": "<image>\nhow many ml in this bottle of perfume?\n"
},
{
"from": "gpt",
"value": "50"
}
] | textvqa_train_format_new.json-14700 | textvqa_train_format_new.json |
images/56/569c1fbfef35bf639b6a9381533afb75242381c25b884c9352b4cdbad0e0fbf7.png | [
{
"from": "human",
"value": "<image>\nwhat time does it say in the upper left corner of the tv screen?\n"
},
{
"from": "gpt",
"value": "10:22"
}
] | textvqa_train_format_new.json-26500 | textvqa_train_format_new.json |
images/a6/a68994b376a65496d2abd7a8df279be2c4b0bf7e975067aa52ba03b7ad58d576.png | [
{
"from": "human",
"value": "<image>\nhow many person in the jet?\n"
},
{
"from": "gpt",
"value": "answering does not require reading text in the image"
}
] | textvqa_train_format_new.json-172 | textvqa_train_format_new.json |
images/95/956573fdb109b0f112b47442dd753a3f25ecdb02fd8a5c8e27d95706b6b13e5f.png | [
{
"from": "human",
"value": "<image>\nwhat book is the quote from?\n"
},
{
"from": "gpt",
"value": "acts"
}
] | textvqa_train_format_new.json-34152 | textvqa_train_format_new.json |
images/aa/aa88a5f91068e905597b76c5ee984b79212ab87149df1de128a60b134a66c3b7.png | [
{
"from": "human",
"value": "<image>\nwhat website is printed on the bottom?\n"
},
{
"from": "gpt",
"value": "www.iberia.com"
}
] | textvqa_train_format_new.json-32868 | textvqa_train_format_new.json |
images/61/6179a9b38555ed952249bacc8a2c5f7eba81ab1ee691f8fc552e391455a25758.png | [
{
"from": "human",
"value": "<image>\nwhat kind of ketchup?\n"
},
{
"from": "gpt",
"value": "heinz"
}
] | textvqa_train_format_new.json-32209 | textvqa_train_format_new.json |
images/03/033a2a5fa09fd3a3c039a53146b4bef88b7d4138d4e2886c589b247939474497.png | [
{
"from": "human",
"value": "<image>\nwhat company made these products?\n"
},
{
"from": "gpt",
"value": "thefaceshop"
}
] | textvqa_train_format_new.json-10973 | textvqa_train_format_new.json |
images/04/046dbd490a81682ecfa91ce64cb0a49fdd19ee4b07eba3ba24adc6e288236ccf.png | [
{
"from": "human",
"value": "<image>\nwhat brand of soda is in the bottles?\n"
},
{
"from": "gpt",
"value": "pepsi"
}
] | textvqa_train_format_new.json-5429 | textvqa_train_format_new.json |
images/6f/6f994865956269016dd6c01318930ab3541eb82c39f3f2f03ea468db99ce0f4e.png | [
{
"from": "human",
"value": "<image>\nwho set three consecutive sales records?\n"
},
{
"from": "gpt",
"value": "co-ops"
}
] | textvqa_train_format_new.json-21141 | textvqa_train_format_new.json |
images/c4/c4487001d6229c7cbc3386dc587b0d2a2709b357aa8ae7c6251747003b22bfae.png | [
{
"from": "human",
"value": "<image>\nwhat is inside the bottle?\n"
},
{
"from": "gpt",
"value": "grand marnier"
}
] | textvqa_train_format_new.json-32652 | textvqa_train_format_new.json |
images/58/5885df021aca7a10b46ba13d3aa4283e109899dd8b74b6dce5a11d81a5c816a8.png | [
{
"from": "human",
"value": "<image>\nwhat is the id of the plane?\n"
},
{
"from": "gpt",
"value": "5h-par"
}
] | textvqa_train_format_new.json-924 | textvqa_train_format_new.json |
images/ad/adfb5fbd5f7e7b98b72a421f277faa58db4ed24c5b8ad02afa0e21f77270ffca.png | [
{
"from": "human",
"value": "<image>\nwhat type of exhibition is promoted by the bbc in the poster on the right?\n"
},
{
"from": "gpt",
"value": "walking with dinosaurs"
}
] | textvqa_train_format_new.json-1788 | textvqa_train_format_new.json |
images/af/af8e5cf62bccb371c42cad085a6476622901be3763e9754378208adc1728b34c.png | [
{
"from": "human",
"value": "<image>\nwhat kind of wine is this?\n"
},
{
"from": "gpt",
"value": "chardonnay"
}
] | textvqa_train_format_new.json-32496 | textvqa_train_format_new.json |
images/26/26e2d20dd7c9fc46aeb84658b3b6a4a48d862c5b0e42d0064d95779d61533520.png | [
{
"from": "human",
"value": "<image>\nwhat is the name of the beer on the left?\n"
},
{
"from": "gpt",
"value": "belgie"
}
] | textvqa_train_format_new.json-5308 | textvqa_train_format_new.json |
images/9f/9f7de9bbfea7b15c183e69943c8315d6968c9246423e23965a92f27454f81503.png | [
{
"from": "human",
"value": "<image>\nwhich airline is this?\n"
},
{
"from": "gpt",
"value": "delta"
}
] | textvqa_train_format_new.json-400 | textvqa_train_format_new.json |
images/ae/ae28cd12285ea700f2684785ff96cc17259a67947a85f2b8f6c3480758918bab.png | [
{
"from": "human",
"value": "<image>\nwhat type of alcohol is shown?\n"
},
{
"from": "gpt",
"value": "gin"
}
] | textvqa_train_format_new.json-31810 | textvqa_train_format_new.json |
images/2c/2c638d2c890689437a8ff7cd24cac3e96339ef01502ca2dee65c9b05709caa3e.png | [
{
"from": "human",
"value": "<image>\nwhat phone brand is this?\n"
},
{
"from": "gpt",
"value": "lg"
}
] | textvqa_train_format_new.json-13406 | textvqa_train_format_new.json |
images/1d/1d5349ddabeb774fccf316be5a2b14a402908d646acda544d2874f2c5ee9683b.png | [
{
"from": "human",
"value": "<image>\nwhat is wrote where the red symbol posted at?\n"
},
{
"from": "gpt",
"value": "no swimming"
}
] | textvqa_train_format_new.json-27733 | textvqa_train_format_new.json |
images/d8/d8a90a710d83d226a1d949db8fb615baf49abc3c5e36cb01a5397574a52b089c.png | [
{
"from": "human",
"value": "<image>\nwhat type of wine is this?\n"
},
{
"from": "gpt",
"value": "domaine les portes"
}
] | textvqa_train_format_new.json-6315 | textvqa_train_format_new.json |
End of preview. Expand in Data Studio
VLM Single-turn Deduplicated Collection v3
Locally curated version, dated September 6, 2026. This collection retains 529,816 question-answer pairs associated with 276,437 unique images. Images were deduplicated by the SHA-256 hash of their file bytes, without re-encoding. Samples containing different question-answer pairs for the same image were retained. Image files total approximately 75.672 GB; the combined logical size of images and annotations is approximately 76.257 GB.
Dataset Composition
The collection contains 16 non-empty JSON annotation files and one empty COCO Colors JSON file. Record counts are listed below. Each record contains a single-image, single-turn question-answer pair with id, image, and conversations fields; some records also include source and old_id. Conversation entries retain the from/value format, and the original questions, answers, and other fields are unchanged. The id field may contain duplicates; use the annotation filename together with the array index as a unique sample key during training.
| Annotation File | Records |
|---|---|
| ai2d_gpt4v_processed_new_cleaned.json | 4,214 |
| llava_chartqa_with_prefix.json | 28,298 |
| llava_coco_colors.json | 0 |
| llava_docvqa_with_prefix.json | 39,458 |
| llava_infographicvqa_with_prefix.json | 23,943 |
| llava_pixmo_pixmo-ask-model-anything.cleaned.json | 81,056 |
| llava_pixmo_pixmo-cap-qa.cleaned.json | 97,723 |
| llava_pixmo_pixmo-count.cleaned.json | 98 |
| llava_pixmo_pixmo-docs.cleaned.json | 11 |
| llava_scienceqa.json | 4,429 |
| llava_scienceqa_nona_context.json | 19,208 |
| llava_vg_qa_one_obj.json | 941 |
| llava_vg_qa_two_obj.json | 231 |
| sicog_cod_35k.json | 69,318 |
| sicog_cot_35k.json | 47,288 |
| textvqa_train_format_new_cleaned.json | 34,443 |
| video_r1_cot_llava_format_cleaned.json | 79,157 |
Downloading and Extracting
Images are stored in independent TAR shards of approximately 2 GiB each under shards/. Each unique image is stored only once, in one shard. Annotations are stored under annotations/. These shards are a transport archive format, not a WebDataset organized by question-answer sample. Do not pass relative images/ paths to a training loader before extracting the archives.
After downloading the entire repository to /data/vlm-upload, run:
python /data/vlm-upload/tools/prepare_dataset.py --bundle /data/vlm-upload --output /data/vlm-train --absolute-paths
The tool first verifies SHA256SUMS, then extracts the archives, validates each image, and checks all image references in the annotations. It can be rerun after an interruption. The output image fields point to actual files under /data/vlm-train/images, without depending on the Windows drive letters used when preparing the dataset. For training, use the non-empty JSON files under /data/vlm-train/annotations. If --absolute-paths is omitted, image paths remain relative and the dataset root must be configured in the loader.
To verify the downloaded bundle without extracting it:
python tools/prepare_dataset.py --bundle . --verify-only
Provenance and Limitations
This bundle was prepared from a previously recovered and cleaned mixture of VLM datasets. Filtering excluded records with missing images, image decoding failures, basic conversation-format errors, or multiple conversation turns. It also excluded records flagged by bounding-box-related keywords and other records sharing those images. No exhaustive visual check was performed to ensure that every image is free of bounding-box overlays: images with boxes but no corresponding textual clues may remain. Semantic correctness checks, near-duplicate removal, and official train/validation split verification have not been completed. This collection must not be treated as an independent, leakage-free evaluation dataset without further checks.
The exact upstream versions, licenses, and redistribution permissions of the mixed sources remain to be verified. This document grants no additional license. Do not make this private working copy public before verifying permission to share it.
summary.json contains dataset statistics; image_manifest.jsonl records each unique image's path, byte size, and SHA-256 hash; and SHA256SUMS contains checksums for the uploaded files.
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