index int64 1 3M | question stringclasses 382
values | hint stringclasses 98
values | A stringlengths 1 460 | B stringlengths 1 460 | C stringlengths 1 460 | D stringlengths 1 460 | answer stringclasses 4
values | category stringclasses 20
values | image imagewidth (px) 55 512 | source stringclasses 569
values | l2-category stringclasses 6
values | comment stringclasses 180
values | split stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,001,410 | What's the profession of the people in this picture? | nan | architect | photographer | dancer | writer | A | identity_reasoning | attribute_reasoning | nan | dev | ||
1,001,413 | What's the profession of the people in this picture? | nan | architect | detective | accountant | writer | C | identity_reasoning | attribute_reasoning | nan | dev | ||
1,001,414 | What's the profession of the people in this picture? | nan | architect | detective | accountant | cashier | D | identity_reasoning | attribute_reasoning | nan | dev | ||
1,001,416 | What's the profession of the people on the right? | nan | architect | fashion designer | accountant | dentist | D | identity_reasoning | attribute_reasoning | nan | dev | ||
1,001,420 | What's the profession of the people in this picture? | nan | lawyer | librarian | radio host | gardener | D | identity_reasoning | attribute_reasoning | nan | dev | ||
1,001,422 | What's the profession of the people in this picture? | nan | lawyer | librarian | financial analyst | florist | D | identity_reasoning | attribute_reasoning | nan | dev | ||
1,001,423 | What's the profession of the people in this picture? | nan | lawyer | magician | financial analyst | florist | B | identity_reasoning | attribute_reasoning | nan | dev | ||
1,001,424 | What's the profession of the people in this picture? | nan | lawyer | magician | nutritionist | florist | C | identity_reasoning | attribute_reasoning | nan | dev | ||
1,001,425 | who is this person? | nan | Tom Hardy | David Beckham | Prince Harry | Daniel Craig | B | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,426 | who is this person? | nan | Tom Hardy | David Beckham | Prince Harry | Daniel Craig | C | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,428 | who is this person? | nan | Tom Hardy | David Beckham | Prince Harry | Daniel Craig | A | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,430 | who is this person? | nan | Harry Styles | Idris Elba | Benedict Cumberbatch | Ed Sheeran | C | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,431 | who is this person? | nan | Harry Styles | Idris Elba | Benedict Cumberbatch | Ed Sheeran | D | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,432 | who is this person? | nan | Harry Styles | Idris Elba | Benedict Cumberbatch | Ed Sheeran | A | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,433 | who is this person? | nan | Elon Mask | Simon Cowell | Elton John | Tom Hanks | B | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,436 | who is this person? | nan | Elon Mask | Simon Cowell | Elton John | Tom Hanks | A | celebrity_recognition | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTqWQtBbvW6ZTf46FtULCScovWa0ptXzCjDHQ&usqp=CAU | finegrained_perception (instance-level) | nan | dev | |
1,001,438 | who is this person? | nan | J.K. Rowling | Meghan Markle | Kate Middleton | Emma Watson | C | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,440 | who is this person? | nan | J.K. Rowling | Meghan Markle | Kate Middleton | Emma Watson | A | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,442 | who is this person? | nan | Keira Knightley | Victoria Beckham | Helen Mirren | Kate Winslet | C | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,444 | who is this person? | nan | Keira Knightley | Victoria Beckham | Helen Mirren | Kate Winslet | A | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,446 | who is this person? | nan | Bruce Lee | Jackie Chan | Salman Khan | Shah Rukh Khan | C | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,447 | who is this person? | nan | Bruce Lee | Jackie Chan | Salman Khan | Shah Rukh Khan | D | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,451 | who is this person? | nan | Deepika Padukone | Hailee Steinfeld | Sridevi | Sandra Oh | D | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,452 | who is this person? | nan | Deepika Padukone | Hailee Steinfeld | Sridevi | Sandra Oh | A | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,453 | what landmark is this? and where is it? | nan | Blue Domed Church in Santorini, Greece | The Statue of Liberty in New York, USA | The Eiffel Tower in Paris, France | St. Basil’s Cathedral in Moscow, Russia | B | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,454 | what landmark is this? and where is it? | nan | Blue Domed Church in Santorini, Greece | The Statue of Liberty in New York, USA | The Eiffel Tower in Paris, France | St. Basil’s Cathedral in Moscow, Russia | C | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,455 | what landmark is this? and where is it? | nan | Blue Domed Church in Santorini, Greece | The Statue of Liberty in New York, USA | The Eiffel Tower in Paris, France | St. Basil’s Cathedral in Moscow, Russia | D | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,457 | what landmark is this? and where is it? | nan | Neptune and the Palace of Versailles in France | The Great Sphinx at Giza, Egipt | The Pyramids of Giza in Egypt | The Little Mermaid in Copenhagen, Denmark | B | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,458 | what landmark is this? and where is it? | nan | Neptune and the Palace of Versailles in France | The Great Sphinx at Giza, Egipt | The Pyramids of Giza in Egypt | The Little Mermaid in Copenhagen, Denmark | C | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,459 | what landmark is this? and where is it? | nan | Neptune and the Palace of Versailles in France | The Great Sphinx at Giza, Egipt | The Pyramids of Giza in Egypt | The Little Mermaid in Copenhagen, Denmark | D | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,461 | what landmark is this? and where is it? | nan | Machu Picchu in Peru | Windmills at Kinderdijk, Holland | The Great Chinese Wall in China | The Taj Mahal in Agra, India | B | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,462 | what landmark is this? and where is it? | nan | Machu Picchu in Peru | Windmills at Kinderdijk, Holland | The Great Chinese Wall in China | The Taj Mahal in Agra, India | C | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,464 | what landmark is this? and where is it? | nan | Machu Picchu in Peru | Windmills at Kinderdijk, Holland | The Great Chinese Wall in China | The Taj Mahal in Agra, India | A | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,466 | what landmark is this? and where is it? | nan | Mecca in Saudi Arabia | Big Ben in London | The Burj al Arab Hotel in Dubai | Tower of Pisa, Italy | C | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,467 | what landmark is this? and where is it? | nan | Mecca in Saudi Arabia | Big Ben in London | The Burj al Arab Hotel in Dubai | Tower of Pisa, Italy | D | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,469 | what landmark is this? and where is it? | nan | Brandenburg Gate in Berlin, Germany | Loch Ness in Scotland | Mont St. Michel in France | Bran Castle in Transylvania, Romania | B | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,470 | what landmark is this? and where is it? | nan | Brandenburg Gate in Berlin, Germany | Loch Ness in Scotland | Mont St. Michel in France | Bran Castle in Transylvania, Romania | C | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,471 | what landmark is this? and where is it? | nan | Brandenburg Gate in Berlin, Germany | Loch Ness in Scotland | Mont St. Michel in France | Bran Castle in Transylvania, Romania | D | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,472 | what landmark is this? and where is it? | nan | Brandenburg Gate in Berlin, Germany | Loch Ness in Scotland | Mont St. Michel in France | Bran Castle in Transylvania, Romania | A | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,476 | what landmark is this? and where is it? | nan | Neuschwanstein in Bavaria | Acropolis of Athens, Greece | Sagrada Familia in Barcelona, Spain | Uluru in the Northern Territory, Australia | A | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,477 | what is this? | nan | a chemical tube | a covid test kit | a pregnancy test kit | a biopsy | B | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,479 | what is this? | nan | a chemical tube | a covid test kit | a pregnancy test kit | a biopsy | D | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,480 | what is this? | nan | a chemical tube | a covid test kit | a pregnancy test kit | a biopsy | A | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,483 | what is this? | nan | cheese stick | spring roll | mozerella cheese stick | bread stick | D | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,484 | what is this? | nan | cheese stick | spring roll | mozerella cheese stick | bread stick | A | celebrity_recognition | finegrained_perception (instance-level) | nan | dev | ||
1,001,485 | How many apples are there in the image? And how many bananas are there? | nan | 4 apples and 1 bananas | 4 apples and 2 bananas | 3 apples and 3 banana | 2 apples and 4 bananas | B | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,487 | How many apples are there in the image? And how many bananas are there? | nan | 2 apples and 1 bananas | 3 apples and 1 bananas | 3 apples and 2 bananas | 1 apples and 1 bananas | D | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,488 | How many apples are there in the image? And how many bananas are there? | nan | 1 apples and 5 bananas | 0 apples and 5 bananas | 1 apples and 4 bananas | 0 apples and 4 bananas | A | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,489 | Which corner are the red bananas? | nan | bottom-right | top-right | top-left | bottom-left | B | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,492 | Which corner are the oranges? | nan | right | up | down | left | D | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,493 | How many bananas are there in the image? | nan | 5 | 3 | 6 | 4 | A | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,495 | Which corner is the apple? | nan | right | up | down | left | D | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,497 | Which corner doesn't have any fruits? | nan | bottom-right | top-right | top-left | bottom-left | B | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,499 | Which corner is the juice? | nan | right | up | down | left | A | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,500 | How many bananas are there in the image? | nan | 5 | 3 | 2 | 4 | C | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,501 | Which corner doesn't have any plates? | nan | bottom-right | top-right | top-left | bottom-left | D | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,504 | Where is the banana? | nan | right | up | down | left | D | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,505 | How many types of fruits are there in the image? | nan | 4 | 3 | 2 | 5 | D | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,506 | How many donuts are there in the image? | nan | 6 | 4 | 3 | 5 | A | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,507 | Which corner doesn't have any plates? | nan | bottom-right | top-right | top-left | bottom-left | A | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,510 | Where are the donuts? | nan | right | up | down | left | A | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,511 | Which corner doesn't have any food? | nan | bottom-right | top-right | top-left | bottom-left | A | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,514 | Where is the strawberry cake? | nan | bottom-right | top-right | top-left | bottom-left | C | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,515 | how many donuts are there? | nan | 4 | 2 | 1 | 3 | B | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,516 | the donut on which direction is bitten? | nan | right | up | down | left | B | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,517 | how many chocolate muchkins are there? | nan | 5 | 3 | 2 | 4 | D | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,518 | where is the dog? | nan | bottom-right | top-right | top-left | bottom-left | A | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,519 | where is the cat? | nan | bottom-right | top-right | top-left | bottom-left | C | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,521 | which direction is the cat looking at? | nan | right | up | down | left | A | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,522 | which direction is the dog facing? | nan | right | up | down | left | C | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,523 | which direction is the dog looking at? | nan | right | up | down | left | B | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,524 | which direction is the dog looking at? | nan | right | up | down | left | C | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,526 | where is the cat? | nan | bottom-right | top-right | top-left | bottom-left | A | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,530 | where is the bike? | nan | bottom-right | top-right | top-left | bottom-left | B | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,531 | how many dogs are there？ | nan | 6 | 3 | 4 | 2 | C | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,532 | what direction is the person facing? | nan | right | front | back | left | B | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,534 | how many dogs are there? | nan | 3 | 0 | 2 | 1 | D | object_localization | finegrained_perception (instance-level) | nan | dev | ||
1,001,535 | The object shown in this figure: | nan | Has a low melting point compared to other minerals. | Is the hardest naturally occurring substance on Earth. | Conducts electricity well at room temperature. | Is typically found in igneous rocks like basalt and granite. | B | physical_property_reasoning | attribute_reasoning | nan | dev | ||
1,001,536 | The object shown in this figure: | nan | Is attracted to magnets. | Is the only metal that is liquid at room temperature. | Can be easily dissolved in water. | Has a low boiling point compared to other metals. | B | physical_property_reasoning | nan | attribute_reasoning | nan | dev | |
1,001,538 | The object shown in this figure: | nan | Is the most abundant element in the universe. | Is a colorless, odorless gas. | Can be ionized to produce a plasma. | Has a high boiling point compared to other noble gases. | B | physical_property_reasoning | https://image.baidu.com/search/detail?ct=503316480&z=&tn=baiduimagedetail&ipn=d&word=%E6%B0%A6&step_word=&ie=utf-8&in=&cl=2&lm=-1&st=-1&hd=&latest=©right=&cs=4215392,2179438032&os=2766074397,4250466693&simid=4215392,2179438032&pn=1&rn=1&di=7214885350303334401&ln=1473&fr=&fmq=1687242100404_R&ic=0&s=undefined&se=&sme... | attribute_reasoning | nan | dev | |
1,001,539 | The object shown in this figure: | nan | Is a good conductor of electricity. | Makes up about 78% of the Earth's atmosphere. | Is a metal that is often used in construction materials. | Has a high boiling point compared to other gases. | B | physical_property_reasoning | https://image.baidu.com/search/detail?ct=503316480&z=0&tn=baiduimagedetail&ipn=d&word=%E6%B0%AE%E6%B0%94&step_word=&ie=utf-8&in=&cl=2&lm=-1&st=-1&hd=&latest=©right=&cs=4248676968,1071124668&os=3803940349,2709450609&simid=4248676968,1071124668&pn=2&rn=1&di=7214885350303334401&ln=1580&fr=&fmq=1687242225846_R&ic=0&s=u... | attribute_reasoning | nan | dev | |
1,001,573 | Which category does this image belong to? | nan | photo | oil painting | sketch | digital art | B | image_style | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTeKFjsOvL3Px0B6cHAO0wCn4a5OvNW_DyfTg&usqp=CAU | coarse_perception | nan | dev | |
1,001,574 | Which category does this image belong to? | nan | photo | oil painting | sketch | digital art | C | image_style | http://m.sjmrsh.com/upload/201910/20/201910202152104062.jpg | coarse_perception | nan | dev | |
1,001,575 | Which category does this image belong to? | nan | photo | oil painting | sketch | digital art | C | image_style | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRen8j7eNMsWB1b8syLd2qgjAaI-DDnqZGK7A&usqp=CAU | coarse_perception | nan | dev | |
1,001,576 | Which category does this image belong to? | nan | photo | oil painting | sketch | digital art | C | image_style | coarse_perception | nan | dev | ||
1,001,578 | Which category does this image belong to? | nan | photo | oil painting | sketch | digital art | D | image_style | coarse_perception | nan | dev | ||
1,001,579 | Which category does this image belong to? | nan | photo | oil painting | sketch | digital art | D | image_style | coarse_perception | nan | dev | ||
1,001,580 | Which category does this image belong to? | nan | photo | oil painting | sketch | digital art | A | image_style | https://images.unsplash.com/photo-1554080353-a576cf803bda?ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxzZWFyY2h8NHx8cGhvdG98ZW58MHx8MHx8fDA%3D&w=1000&q=80 | coarse_perception | nan | dev | |
1,001,582 | Which category does this image belong to? | nan | photo | oil painting | sketch | digital art | A | image_style | coarse_perception | nan | dev | ||
1,001,583 | Which category does this image belong to? | nan | map | remote sense image | photo | painting | B | image_style | coarse_perception | nan | dev | ||
1,001,585 | Which category does this image belong to? | nan | map | remote sense image | photo | painting | B | image_style | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRvPu3rp8hL9NVM-ZvMUUUduv0i4oVwsTn_Ew&usqp=CAU | coarse_perception | nan | dev | |
1,001,586 | Which category does this image belong to? | nan | map | remote sense image | photo | painting | A | image_style | coarse_perception | nan | dev | ||
1,001,588 | Which category does this image belong to? | nan | map | remote sense image | photo | painting | A | image_style | coarse_perception | nan | dev | ||
1,001,589 | Which category does this image belong to? | nan | painting | medical CT image | 8-bit | digital art | C | image_style | coarse_perception | nan | dev | ||
1,001,591 | Which category does this image belong to? | nan | painting | medical CT image | 8-bit | digital art | C | image_style | coarse_perception | nan | dev | ||
1,001,592 | Which category does this image belong to? | nan | photo | medical CT image | 8-bit | digital art | B | image_style | coarse_perception | nan | dev | ||
1,001,594 | Which category does this image belong to? | nan | photo | medical CT image | 8-bit | digital art | B | image_style | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSEHsv2PhsESZmoLDd3OePr_ccTM5STCuUmig&usqp=CAU | coarse_perception | nan | dev | |
1,001,595 | what style is depicted in this image? | nan | dadaism | impressionism | post-Impressionism | modernism | B | image_style | coarse_perception | nan | dev | ||
1,001,597 | what style is depicted in this image? | nan | dadaism | impressionism | post-Impressionism | modernism | B | image_style | coarse_perception | nan | dev | ||
1,001,598 | what style is depicted in this image? | nan | dadaism | impressionism | post-Impressionism | modernism | C | image_style | coarse_perception | nan | dev |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.