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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2,000,473 | Based on the map, what was true about the Silk Road around the year 1300 CE? | The map below shows a network of trade routes known as the Silk Road. Between 200 BCE and 1350 CE, merchants, or traders, traveled along many parts of these routes.
Look at the map, which shows the Silk Road around the year 1300 CE. Then answer the question below. | The Silk Road connected East Asia and the Americas by sea. | The Silk Road was made up of only land routes. | The Silk Road connected parts of East Asia, the Middle East, and Europe. | nan | C | structuralized_imagetext_understanding | scienceqa | logic_reasoning | nan | dev | |
2,000,607 | What is the shape of the small yellow rubber thing that is in front of the large yellow metal ball that is behind the small matte object? | nan | sphere | cylinder | cube | nan | C | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000005.png | dev | |
2,000,608 | There is a thing that is both to the left of the gray sphere and to the right of the small cylinder; what shape is it? | nan | sphere | cylinder | cube | nan | C | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000007.png | dev | |
2,000,609 | There is a big metallic thing left of the tiny green object; what is its shape? | nan | sphere | cylinder | cube | nan | A | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000002.png | dev | |
2,000,610 | The other object that is the same color as the large shiny thing is what shape? | nan | sphere | cylinder | cube | nan | B | attribute_recognition | Clevr | finegrained_perception (instance-level) | CLEVR_val_000004.png | dev | |
2,000,828 | What the nature relations of these animals | nan | mutualism | parasitism | predation | nan | C | nature_relation | internet | relation_reasoning | predation_1.jpeg | dev | |
2,000,832 | What the nature relations of these animals | nan | mutualism | parasitism | predation | nan | C | nature_relation | internet | relation_reasoning | predation_5.jpeg | dev | |
2,000,833 | What the nature relations of these animals | nan | mutualism | parasitism | predation | nan | C | nature_relation | internet | relation_reasoning | predation_6.jpeg | dev | |
2,000,835 | What the nature relations of these animals | nan | mutualism | parasitism | predation | nan | A | nature_relation | internet | relation_reasoning | mutualism_1.jpeg | dev | |
2,000,837 | What the nature relations of these animals | nan | mutualism | parasitism | predation | nan | A | nature_relation | internet | relation_reasoning | mutualism_3.jpeg | dev | |
2,000,838 | What the nature relations of these animals | nan | mutualism | parasitism | predation | nan | A | nature_relation | internet | relation_reasoning | mutualism_4.jpeg | dev | |
2,000,840 | What the nature relations of these animals | nan | mutualism | parasitism | predation | nan | A | nature_relation | internet | relation_reasoning | mutualism_6.jpeg | dev | |
2,000,841 | What the nature relations of these animals | nan | mutualism | parasitism | predation | nan | A | nature_relation | internet | relation_reasoning | mutualism_7.jpeg | dev | |
2,000,845 | What the nature relations of these animals | nan | mutualism | parasitism | predation | nan | B | nature_relation | internet | relation_reasoning | parasitism_2.jpeg | dev | |
2,000,846 | What the nature relations of these animals | nan | mutualism | parasitism | predation | nan | B | nature_relation | internet | relation_reasoning | parasitism_3.jpeg | dev | |
2,001,092 | Are the two chairs the same color in the picture? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=FXGyOJgu&id=B958C2DCEA9394277E019CAFD6AF7F570921620C&thid=OIP.FXGyOJgusmo6cWztX0PalQAAAA&mediaurl=https%3A%2F%2Fphoto-static-api.fotomore.com%2Fcreative%2Fvcg%2Fveer%2F612%2Fveer-311561516.jpg&exph=316&expw=474&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%9... | finegrained_perception (cross-instance) | nan | dev | |
2,001,093 | Are the two sofas the same color in the picture? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=NxgWTjyM&id=A8180388030CEB877F00F8E4449BDB0EED3FAED1&thid=OIP.NxgWTjyMSN52PNh800YNVgHaE2&mediaurl=https%3A%2F%2Fphoto-static-api.fotomore.com%2Fcreative%2Fvcg%2Fveer%2F612%2Fveer-307655682.jpg&exph=401&expw=612&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%9... | finegrained_perception (cross-instance) | nan | dev | |
2,001,096 | Are the two shapes the same in the picture? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=0Q41k49h&id=B75AE959CF987BCF9FA58815C9A78E4EAC8B8720&thid=OIP.0Q41k49hl7Z1x4DnyfJivQAAAA&mediaurl=https%3A%2F%2Fphoto-static-api.fotomore.com%2Fcreative%2Fvcg%2Fveer%2F612%2Fveer-168134723.jpg&exph=400&expw=400&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%9... | finegrained_perception (cross-instance) | nan | dev | |
2,001,097 | Are the two pens the same size in the picture? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=tCTjLEY3&id=0B7DEA3B98D019419C631D36506572113A6EC7CE&thid=OIP.tCTjLEY35uoFRtXD-3M-IQAAAA&mediaurl=https%3A%2F%2Fth.bing.com%2Fth%2Fid%2FR.b424e32c4637e6ea0546d5c3fb733e21%3Frik%3DzsduOhFyZVA2HQ%26riu%3Dhttp%253a%252f%252fimg.ciwong.com%252fi02%252fcgtg%252f5991nfu0r... | finegrained_perception (cross-instance) | nan | dev | |
2,001,099 | Are the candies in the two jars in the picture the same color? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=M2KC0dq0&id=EAC00B63021013AA911C03A4B293A01ED27B903F&thid=OIP.M2KC0dq0EfyGd5I26U3RvgHaDl&mediaurl=https%3a%2f%2fpic1.zhimg.com%2fv2-8e22fc040982490501ab07831c9b53a7_r.jpg%3fsource%3d1940ef5c&exph=1411&expw=2912&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%9... | finegrained_perception (cross-instance) | nan | dev | |
2,001,102 | Are the two candy jars in the picture the same shape? | nan | Not the same | Can't judge | same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=M2KC0dq0&id=EAC00B63021013AA911C03A4B293A01ED27B903F&thid=OIP.M2KC0dq0EfyGd5I26U3RvgHaDl&mediaurl=https%3a%2f%2fpic1.zhimg.com%2fv2-8e22fc040982490501ab07831c9b53a7_r.jpg%3fsource%3d1940ef5c&exph=1411&expw=2912&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%9... | finegrained_perception (cross-instance) | nan | dev | |
2,001,103 | Are the two apples in the picture the same color? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=DkIVtqij&id=EC43F4BC3AA64F1DA95691F73EFE9B137AF62FED&thid=OIP.DkIVtqij_PFGnUszH0Bk3AHaEN&mediaurl=https%3A%2F%2Fpic3.zhimg.com%2Fv2-5c0fe95cae07522fceeff5cd9dade416_r.jpg&exph=1080&expw=1902&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%be&simid=608... | finegrained_perception (cross-instance) | nan | dev | |
2,001,104 | There are two physical models in the picture, are the two square sliders the same size? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=YlwuK4Vu&id=2EB13C4E66C1334DBB1A4780414DA4DB901BFB83&thid=OIP.YlwuK4Vuu5njyhuYA2LYJgHaDC&mediaurl=https%3A%2F%2Fimg.mianfeiwendang.com%2Fpic%2F5c4b011fbf078559d1534e83675a68913c1d42bd%2F1-634-png_6_0_0_106_360_279_114_892.979_1262.879-1548-0-1329-1548.jpg&exph=634&e... | finegrained_perception (cross-instance) | nan | dev | |
2,001,105 | Are the two hoops in the picture the same size? | nan | Not the same | Can't judge | same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=0R4tJILH&id=7440906DFDBEB0CFB9811FE0CFA653664EAA0219&thid=OIP.0R4tJILHLXdpQXp3FOjlkAHaHT&mediaurl=https%3A%2F%2Fphoto-static-api.fotomore.com%2Fcreative%2Fvcg%2Fveer%2F612%2Fveer-160857311.jpg&exph=604&expw=612&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%9... | finegrained_perception (cross-instance) | nan | dev | |
2,001,106 | Are the two horses in the picture the same size? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=Z09Xhc8c&id=460890B11CA27841E911383B544B574F6E677021&thid=OIP.Z09Xhc8c8YpoNU9S8rZdOQHaEo&mediaurl=https%3A%2F%2Ffsimg1.xbdedu.cn%2F2015%2F08%2F0871121A-6015-969B-0A8D-A2143AEC4D86.png&exph=413&expw=660&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%b... | finegrained_perception (cross-instance) | nan | dev | |
2,001,107 | Are the two animals in the picture the same color? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=9YWwARK4&id=6ACC09228C3990587B244611B530A474F47C3980&thid=OIP.9YWwARK4v3TgUT4400I_eQHaEK&mediaurl=https%3A%2F%2Fpic3.zhimg.com%2Fv2-c0ca07da19871d2f711ae7daa71aa142_r.jpg&exph=360&expw=640&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%be&simid=60803... | finegrained_perception (cross-instance) | nan | dev | |
2,001,108 | In the picture, one is a bear doll and the other is a cat. Are they the same size? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=vQrzyo%2FD&id=BDD674CE443833D4A6BC554E6AFB09CFA10D18AB&thid=OIP.vQrzyo_D9t716i24tLjAYwHaEY&mediaurl=https%3A%2F%2Ffsimg1.xbdedu.cn%2F2015%2F09%2F69BA8A33-CAC3-AFBA-F763-D3CB7EEF0FDD.png&exph=286&expw=483&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b... | finegrained_perception (cross-instance) | nan | dev | |
2,001,109 | In this sketch picture, are the two objects the same size and shape? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=QKbyjnJi&id=094664BF21272F53A547ED6CB2D699915F4794F2&thid=OIP.QKbyjnJi_qFemqqqVF76VQHaE_&mediaurl=https%3A%2F%2Fimg.lucydraw.com%2Fdata%2Fupload%2Fueditor%2F20170518%2F591cfd7da0c15.jpg&exph=405&expw=600&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b... | finegrained_perception (cross-instance) | nan | dev | |
2,001,110 | In the picture there are two objects stacked with cubes. Are they the same shape? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=jvJO03iN&id=170BD15C4CB2064D4485187CE2E84BEE83353442&thid=OIP.jvJO03iNElEkjfhvxZy0eAHaCL&mediaurl=https%3A%2F%2Fwww.pep.com.cn%2Fxxsx%2Fxxsxwd%2F201502%2FW020150210493996968997.png&exph=160&expw=545&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e5%af%b9%e6%af%94%e5%9b%be&s... | finegrained_perception (cross-instance) | nan | dev | |
2,001,112 | In this comparison picture, are the colors the same on both sides? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=j3%2fUL7H%2f&id=06527C8B99382870A9BBA8138E9A39F7F11F9D5A&thid=OIP.j3_UL7H_-fyyPpeeXPm8pwHaHa&mediaurl=https%3a%2f%2fimg.zcool.cn%2fcommunity%2f010a985e8213cea801216518ccbae1.jpg%401280w_1l_2o_100sh.jpg&exph=1280&expw=1280&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2... | finegrained_perception (cross-instance) | nan | dev | |
2,001,113 | In this comparison diagram, are the upper and lower modules the same shape? | nan | Not the same | Can't judge | same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=j3%2fUL7H%2f&id=06527C8B99382870A9BBA8138E9A39F7F11F9D5A&thid=OIP.j3_UL7H_-fyyPpeeXPm8pwHaHa&mediaurl=https%3a%2f%2fimg.zcool.cn%2fcommunity%2f010a985e8213cea801216518ccbae1.jpg%401280w_1l_2o_100sh.jpg&exph=1280&expw=1280&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2... | finegrained_perception (cross-instance) | nan | dev | |
2,001,114 | In this comparison diagram, are the upper and lower modules the same shape? | nan | Not the same | Can't judge | same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=j3%2fUL7H%2f&id=06527C8B99382870A9BBA8138E9A39F7F11F9D5A&thid=OIP.j3_UL7H_-fyyPpeeXPm8pwHaHa&mediaurl=https%3a%2f%2fimg.zcool.cn%2fcommunity%2f010a985e8213cea801216518ccbae1.jpg%401280w_1l_2o_100sh.jpg&exph=1280&expw=1280&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2... | finegrained_perception (cross-instance) | nan | dev | |
2,001,116 | In this comparison picture, are the left and right modules the same shape? | nan | Not the same | Can't judge | same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=A%2BsFFjRM&id=A792097ACBF1860598926EA11AD8FE64CAB3F61D&thid=OIP.A-sFFjRMu2vXJK4_pHPMTwHaHa&mediaurl=https%3A%2F%2Fimg.zcool.cn%2Fcommunity%2F019dee5e846bf3a80120a89533405e.jpg%401280w_1l_2o_100sh.jpg&exph=1181&expw=1181&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2%9... | finegrained_perception (cross-instance) | nan | dev | |
2,001,117 | In this comparison picture, are the upper and lower modules the same color? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=A%2BsFFjRM&id=A792097ACBF1860598926EA11AD8FE64CAB3F61D&thid=OIP.A-sFFjRMu2vXJK4_pHPMTwHaHa&mediaurl=https%3A%2F%2Fimg.zcool.cn%2Fcommunity%2F019dee5e846bf3a80120a89533405e.jpg%401280w_1l_2o_100sh.jpg&exph=1181&expw=1181&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2%9... | finegrained_perception (cross-instance) | nan | dev | |
2,001,118 | In this comparison picture, are the upper and lower modules the same color? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=A%2BsFFjRM&id=A792097ACBF1860598926EA11AD8FE64CAB3F61D&thid=OIP.A-sFFjRMu2vXJK4_pHPMTwHaHa&mediaurl=https%3A%2F%2Fimg.zcool.cn%2Fcommunity%2F019dee5e846bf3a80120a89533405e.jpg%401280w_1l_2o_100sh.jpg&exph=1181&expw=1181&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2%9... | finegrained_perception (cross-instance) | nan | dev | |
2,001,120 | In this comparison picture, are the left and right modules the same shape? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=77rYhcri&id=8A298E84DE3EB3731E6B59EF6D14777464FB901C&thid=OIP.77rYhcribbmGpzi3gbNhrgHaDq&mediaurl=https%3A%2F%2Fimg.zcool.cn%2Fcommunity%2F0157c45da03b3da80121b722b1d2b3.jpg%401280w_1l_2o_100sh.jpg&exph=632&expw=1280&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2%9c%e... | finegrained_perception (cross-instance) | nan | dev | |
2,001,121 | In this comparison picture, are the left and right modules the same color? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=trXdn0br&id=742AF321E29D272007948FD6B9EDDC3F2B8EC5E2&thid=OIP.trXdn0br7cbLc5C0dswzegHaJX&mediaurl=https%3A%2F%2Fpic49.photophoto.cn%2F20181214%2F0006019542859104_b.jpg&exph=987&expw=781&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2%9c%e8%89%b2%e5%af%b9%e6%af%94%e5%9b... | finegrained_perception (cross-instance) | nan | dev | |
2,001,122 | In this comparison picture, are the left and right modules the same color? | nan | Not the same | Can't judge | same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=IBAUJpyY&id=A13E1421C7348FDF1607E28FDD00447C393DA67E&thid=OIP.IBAUJpyYYxZVuxy_-iZBswHaHI&mediaurl=https%3A%2F%2Fpic4.zhimg.com%2Fv2-9d444dffca1401d780b9ddb5ba71bd0b_b.jpg&exph=617&expw=640&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2%9c%e8%89%b2%e5%af%b9%e6%af%94%e5... | finegrained_perception (cross-instance) | nan | dev | |
2,001,123 | In this comparison picture, are the left and right modules the same shape? | nan | Not the same | Can't judge | same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=IBAUJpyY&id=A13E1421C7348FDF1607E28FDD00447C393DA67E&thid=OIP.IBAUJpyYYxZVuxy_-iZBswHaHI&mediaurl=https%3A%2F%2Fpic4.zhimg.com%2Fv2-9d444dffca1401d780b9ddb5ba71bd0b_b.jpg&exph=617&expw=640&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2%9c%e8%89%b2%e5%af%b9%e6%af%94%e5... | finegrained_perception (cross-instance) | nan | dev | |
2,001,124 | In this comparison picture, are the left and right modules the same shape? | nan | Not the same | Can't judge | same | nan | C | attribute_comparison | https://www.bing.com/images/search?view=detailV2&ccid=G7nFNcRj&id=8A298E84DE3EB3731E6B7CC3B41B9CF36C306979&thid=OIP.G7nFNcRj7wkRVfmj65h5CAHaDr&mediaurl=https%3A%2F%2Fimg.zcool.cn%2Fcommunity%2F01f6945da03b26a80121b72262447c.jpg%401280w_1l_2o_100sh.jpg&exph=636&expw=1280&q=%e4%b8%a4%e4%b8%aa%e7%89%a9%e4%bd%93%e9%a2%9c%e... | finegrained_perception (cross-instance) | nan | dev | |
2,001,125 | In this picture, are the two lipsticks the same color? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | finegrained_perception (cross-instance) | nan | dev | ||
2,001,127 | Are the two bears in this picture the same size? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.google.com.hk/imgres?imgurl=https%3A%2F%2Fwww.leaderkid.com.tw%2Fwp-content%2Fuploads%2F2019%2F05%2Fimg_5a9e2657bb0a1.png&tbnid=V1s3H-aSIxGkxM&vet=12ahUKEwjSlbefrdH_AhWOp1YBHXiSDukQMygNegUIARDaAQ..i&imgrefurl=https%3A%2F%2Fwww.leaderkid.com.tw%2F2022%2F02%2F13%2F46765%2F&docid=3b3pSiLL6vT9yM&w=516&h=370&q=%... | finegrained_perception (cross-instance) | nan | dev | |
2,001,128 | In this picture, are the two dolphins the same size? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | http://k.sinaimg.cn/n/sinakd10110/113/w576h337/20200813/0f50-ixreehp4093729.jpg/w700d1q75cms.jpg | finegrained_perception (cross-instance) | nan | dev | |
2,001,129 | In this picture, are the two butterfly wings the same shape? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | http://k.sinaimg.cn/n/sinakd10110/113/w576h337/20200813/ff91-ixreehp4093373.jpg/w700d1q75cms.jpg | finegrained_perception (cross-instance) | nan | dev | |
2,001,130 | In this picture, are the two parrots the same color? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | finegrained_perception (cross-instance) | nan | dev | ||
2,001,131 | In this picture, are the two people standing at the same height? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | finegrained_perception (cross-instance) | nan | dev | ||
2,001,133 | Are the backgrounds of the two pictures the same color? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSvofG7dWwqLycDOJe5k_T9ClhIvMssjjelpg&usqp=CAU | finegrained_perception (cross-instance) | nan | dev | |
2,001,137 | Are the two bananas the same size? | nan | Not the same | Can't judge | same | nan | A | attribute_comparison | https://www.google.com.hk/imgres?imgurl=https%3A%2F%2Fimg95.699pic.com%2Fxsj%2F2h%2F1y%2Ft8.jpg!%2Ffh%2F300&tbnid=QJkiBxN8-OqICM&vet=12ahUKEwiiu5j4sNH_AhWYgVYBHUItBR0QMygJegQIARBE..i&imgrefurl=https%3A%2F%2Fxsj.699pic.com%2Fsou%2Fdaxiaoduibi.html&docid=DvuUofqwprnHUM&w=450&h=300&itg=1&q=%E5%A4%A7%E5%B0%8F%E5%AF%B9%E6%A... | finegrained_perception (cross-instance) | nan | dev | |
2,000,034 | Which one is the correct caption of this image? | nan | The house appears to be clean and beautifully decorated. | An elephant is chasing a dog around in the dirt. | A woman is riding a motorcycle down the street. | A woman is walking her dog and has stopped at a corner and is looking at all the lights and buildings. | C | action_recognition | description | finegrained_perception (cross-instance) | nan | dev | |
2,000,051 | Which one is the correct caption of this image? | nan | A beautiful woman holding up an umbrella next to a forest. | A cutting board and a metal pan topped with pizza. | a brown and black ox and a white and black one and grass | A huge heard of sheep are all scattered together. | D | image_scene | description | coarse_perception | nan | dev | |
2,001,009 | Which is right? | nan | The apple is on the left | The orange is on the right | The orange is next to the apple | All above are not right | C | physical_relation | COCO train2014 | relation_reasoning | 13.png | dev | |
2,001,012 | Based on the image, where is the boy? | nan | The boy is on the left of the fire hydrant | The boy is on the top of the fire hydrant | The boy is on the right of the fire hydrant | All above are not right | A | physical_relation | COCO train2014 | relation_reasoning | 16.png | dev | |
2,001,189 | What will happen next? | nan | this person is gonna laugh | this person is gonna get mad | this person is gonna cry | both A,B, and C | C | future_prediction | logic_reasoning | nan | dev | ||
2,001,192 | What will happen next? | nan | this person is gonna laugh | this person is gonna get mad | this person is gonna cry | both A,B, and C | A | future_prediction | logic_reasoning | nan | dev | ||
2,001,193 | What will happen next? | nan | this person is gonna laugh | this person is gonna get mad | this person is gonna cry | both A,B, and C | A | future_prediction | logic_reasoning | nan | dev | ||
2,001,195 | What will happen next? | nan | this person is gonna laugh | this person is gonna get mad | this person is gonna cry | both A,B, and C | B | future_prediction | logic_reasoning | nan | dev | ||
2,001,198 | What will happen next? | nan | the bike is gonna run forward | the bike is gonna go backwards | the bike is gonna get stuck in the mud | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs6 | logic_reasoning | nan | dev | |
2,001,199 | What will happen next? | nan | the car is gonna crash into the fence | the car is gonna drive backwards | the car is gonna drive through | both A,B, and C | A | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs8 | logic_reasoning | nan | dev | |
2,001,200 | What will happen next? | nan | the motorcyle is gonna crash | the motorcyle is gonna go backward | the motorcyle is gonna go forward | both A,B, and C | A | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs9 | logic_reasoning | nan | dev | |
2,001,201 | What will happen next? | nan | this person is gonna keep walking | this person is gonna fall into the water | this person is gonna stay still | both A,B, and C | B | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs10 | logic_reasoning | nan | dev | |
2,001,204 | What will happen next? | nan | the motorcycle is gonna successfully go up along the wood | the motorcycle is gonna crash into the car | the wood is goona crash | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs13 | logic_reasoning | nan | dev | |
2,001,205 | What will happen next? | nan | the person is gonna get sunk into the fluffy snow | the person is gonna ski | the person is gonna sit on top of the snow and feel hurt | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs14 | logic_reasoning | nan | dev | |
2,001,208 | What will happen next? | nan | both the man and the sculpture are gonna fall | the sculpture is gonna fall | the man is gonna drag the sculpture back | both A,B, and C | B | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs20 | logic_reasoning | nan | dev | |
2,001,209 | What will happen next? | nan | the car is gonna fly | the car is gonna drive backwards | the car is gonna crash into the house | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs22 | logic_reasoning | nan | dev | |
2,001,210 | What will happen next? | nan | the wave is gonna go back to the sea | the two girls are gonna swim in the wave | the wave is gonna hit the two girls | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs24 | logic_reasoning | nan | dev | |
2,001,211 | What will happen next? | nan | the motorcycle is gonna crash into the car | the motorcycle is gonna turn left | the motorcycle is gonna turn left | both A,B, and C | A | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs25 | logic_reasoning | nan | dev | |
2,001,212 | What will happen next? | nan | the pan itself is gonna fly into the woman's face | nothing is gonna happen | the girls is gonna turn the pan around | both A,B, and C | A | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs26 | logic_reasoning | nan | dev | |
2,001,213 | What will happen next? | nan | they are gonna crash the glass door | they are gonna enter the glass door | they are gonna kiss on the glass door | both A,B, and C | A | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs27 | logic_reasoning | nan | dev | |
2,001,214 | What will happen next? | nan | the truck is gonna drive straight forward | the truck is gonna turn over | the truck is gonna turn left | both A,B, and C | B | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs28 | logic_reasoning | nan | dev | |
2,001,215 | What will happen next? | nan | the man is gonna keep surfing | the man is gonna fall on the beach | the boat is gonna crash | both A,B, and C | B | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs29 | logic_reasoning | nan | dev | |
2,001,217 | What will happen next? | nan | the puppy is gonna kiss the man | the puppy is gonna sit on the man | the puppy is gonna bite the man | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs31 | logic_reasoning | nan | dev | |
2,001,218 | What will happen next? | nan | the dog is gonna bite the person | the dog is gonna sleep | the person is gonna fart on the dog | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs32 | logic_reasoning | nan | dev | |
2,001,219 | What will happen next? | nan | the person is gonna stand still on the ladder | someone is gonna come and hold the ladder | the person is gonna fall off the ladder | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs33 | logic_reasoning | nan | dev | |
2,001,221 | What will happen next? | nan | the kid is gonna crash into the other kid | the other kid is gonna dodge | the kid is gonna slide through | both A,B, and C | A | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs35 | logic_reasoning | nan | dev | |
2,001,222 | What will happen next? | nan | the man is gonna fall | the man is gonna slide along | the man is gonna run over | both A,B, and C | A | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs36 | logic_reasoning | nan | dev | |
2,001,224 | What will happen next? | nan | the man is gonna lift up the weight | the man is gonna fall | the man is gonna put down the weight | both A,B, and C | B | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs38 | logic_reasoning | nan | dev | |
2,001,226 | What will happen next? | nan | the woman is gonna feed the baby | the woman is gonna eat the food herself | the food is gonna fall off the spoon | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs40 | logic_reasoning | nan | dev | |
2,001,227 | What will happen next? | nan | the suitcase is gonna fall off the escalator | the suitcase is gonna stay still | the woman is gonna grab the suitcase | both A,B, and C | A | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs41 | logic_reasoning | nan | dev | |
2,001,229 | What will happen next? | nan | they are gonna keep driving forward | they are gonna drive backwards | they are gonna fall off the motorcycle | both A,B, and C | C | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs43 | logic_reasoning | nan | dev | |
2,001,230 | What will happen next? | nan | the man is gonna fall | the man is gonna get up | the man is gonna walk back | both A,B, and C | A | future_prediction | https://www.youtube.com/watch?v=w6urQm7Prs44 | logic_reasoning | nan | dev | |
2,001,544 | The object shown in this figure: | nan | Can be used as a fertilizer for plants | Has a pH value of less than 7 | Is a colorless liquid with a sharp odor | None of these options are correct. | C | physical_property_reasoning | http://24236290.s21i.faiusr.com/2/ABUIABACGAAgj5fcnwYo8I-c-gIwoAY4oAY.jpg | attribute_reasoning | nan | dev | |
2,001,545 | The object shown in this figure: | nan | Has a boiling point of -161°C | Is a greenhouse gas that contributes to climate change | Is a colorless and odorless gas | None of these options are correct. | C | physical_property_reasoning | attribute_reasoning | nan | dev | ||
2,001,546 | The object shown in this figure: | nan | Has a density lower than that of aluminum | Is highly resistant to corrosion in seawater and chlorine | Is a lustrous, silver-colored metal | None of these options are correct. | B | physical_property_reasoning | http://www.dayueti.com/uploads/allimg/200330/1-200330222436.jpg | attribute_reasoning | nan | dev | |
2,001,547 | The object shown in this figure: | nan | Has a boiling point of 56.05°C | Is used as a solvent for many organic compounds | Is a colorless liquid with a sweet, fruity odor | None of these options are correct. | B | physical_property_reasoning | nan | attribute_reasoning | nan | dev | |
2,001,548 | The object shown in this figure: | nan | Has a relatively low melting point of 825°C | Is the main component of chalk and limestone | Is a white, odorless powder | None of these options are correct. | B | physical_property_reasoning | http://t15.baidu.com/it/u=2995311842,2565462334&fm=224&app=112&f=JPEG?w=500&h=500 | attribute_reasoning | nan | dev | |
2,001,549 | The object shown in this figure: | nan | Is also known as laughing gas | Has a boiling point of -88.5°C | Is a colorless gas with a slightly sweet odor | None of these options are correct. | A | physical_property_reasoning | https://pic.baike.soso.com/ugc/baikepic2/9611/20220314140719-1734772453_png_678_468_305158.jpg/0 | attribute_reasoning | nan | dev | |
2,001,550 | The object shown in this figure: | nan | Has a boiling point of 337°C | Is used to make many types of fertilizers | Is a highly corrosive liquid | None of these options are correct. | C | physical_property_reasoning | https://img0.baidu.com/it/u=3181099851,3965974851&fm=253&fmt=auto&app=138&f=JPEG?w=500&h=528 | attribute_reasoning | nan | dev | |
2,001,551 | The object shown in this figure: | nan | Is a powerful oxidizer that can cause skin and eye irritation | Has a boiling point of 150.2°C | Is a colorless liquid with a slightly metallic taste | None of these options are correct. | A | physical_property_reasoning | https://img1.baidu.com/it/u=3106915301,4272227426&fm=253&fmt=auto&app=138&f=JPEG?w=322&h=499 | attribute_reasoning | nan | dev | |
2,001,552 | The object shown in this figure: | nan | Is commonly used as a fertilizer and industrial chemical | Has a boiling point of -33.3°C | Is a colorless gas with a pungent odor | None of these options are correct. | C | physical_property_reasoning | https://img1.baidu.com/it/u=381738452,98971456&fm=253&fmt=auto&app=138&f=JPEG?w=549&h=410 | attribute_reasoning | nan | dev | |
2,001,553 | The gas shown in this figure: | nan | Forms when fuels like gasoline, coal, and wood are burned without enough oxygen | Has a boiling point of -191.5°C | Is a colorless, odorless gas that is poisonous to humans and animals | None of these options are correct. | C | physical_property_reasoning | attribute_reasoning | nan | dev | ||
2,001,554 | The object shown in this figure: | nan | Has a boiling point of 64.7°C | Can be toxic if ingested or absorbed through the skin | Is a colorless, flammable liquid that is commonly used as a solvent and fuel | None of these options are correct. | B | physical_property_reasoning | https://img1.baidu.com/it/u=4162081172,2358319258&fm=253&fmt=auto&app=138&f=JPEG?w=500&h=694 | attribute_reasoning | nan | dev | |
2,001,555 | The object shown in this figure: | nan | Has the highest electrical and thermal conductivity of all metals | Has a boiling point of 2,162°C | Is a lustrous, white metal that is highly reflective and ductile | All of these options are correct. | D | physical_property_reasoning | https://img2.baidu.com/it/u=525544144,463390017&fm=253&fmt=auto&app=138&f=JPEG?w=596&h=500 | attribute_reasoning | nan | dev | |
2,001,557 | The object shown in this figure: | nan | Occurs naturally in deep-sea sediments and permafrost regions | Can be used as a potential energy source | Is a type of clathrate compound that consists of methane gas trapped within a lattice of ice crystals | None of these options are correct. | B | physical_property_reasoning | attribute_reasoning | nan | dev | ||
2,001,561 | The object shown in this figure: | nan | Has a high melting point of around 1,650°C | Is commonly used in many industrial applications, including electronics and optics | Is a mineral that occurs in many different forms and colors | All of these options are correct. | D | physical_property_reasoning | https://bkimg.cdn.bcebos.com/pic/f3d3572c11dfa9ecc9c0b89869d0f703908fc157 | attribute_reasoning | nan | dev | |
2,001,563 | The object shown in this figure: | nan | Is used as an abrasive and cutting tool material | Melts at around 2,730°C | Is a compound made up of silicon and carbon atoms | All of these options are correct. | D | physical_property_reasoning | https://bkimg.cdn.bcebos.com/pic/c8177f3e6709c93d70cf69e8cc76efdcd100baa1fed3 | attribute_reasoning | nan | dev | |
2,001,564 | The object shown in this figure: | nan | Has a high melting point of around 1,843°C | Can be produced in both powder and nanoparticle forms | Is a white solid that is commonly used as a pigment and sunscreen ingredient | All of these options are correct. | D | physical_property_reasoning | https://gimg2.baidu.com/image_search/src=http%3A%2F%2Fcbu01.alicdn.com%2Fimg%2Fibank%2F2020%2F487%2F879%2F18090978784_2082016289.jpg&refer=http%3A%2F%2Fcbu01.alicdn.com&app=2002&size=f9999,10000&q=a80&n=0&g=0n&fmt=auto?sec=1689837198&t=98bc4a671c9ce72518fc11ee5fb1896e | attribute_reasoning | nan | dev | |
2,001,566 | The object shown in this figure: | nan | Has a high molecular weight, making it strong and durable | Melts at around 115-135°C | Is a thermoplastic material that is commonly used in packaging and plastic bags | All of these options are correct. | D | physical_property_reasoning | attribute_reasoning | nan | dev | ||
2,001,567 | The object shown in this figure: | nan | Has a relatively low melting point of around 419°C | Is an essential micronutrient for humans and many other organisms | Is a bluish-white metal that is commonly used in galvanizing and as an alloy in brass and other metals | All of these options are correct. | D | physical_property_reasoning | attribute_reasoning | nan | dev | ||
2,001,568 | The object shown in this figure: | nan | Has many useful properties, including transparency, hardness, and resistance to chemical attack | Does not have a distinct melting point, but softens gradually as it is heated | Is an amorphous solid that is made by heating silica and other materials to high temperatures | All of these options are correct. | D | physical_property_reasoning | attribute_reasoning | nan | dev | ||
2,001,569 | The object shown in this figure: | nan | Has a relatively low melting point of around 1,538°C | Is the most abundant element by mass in Earth's core | Is a metallic element that is essential for life and commonly used in construction and manufacturing | All of these options are correct. | D | physical_property_reasoning | https://img0.baidu.com/it/u=1069165377,1159167237&fm=253&fmt=auto&app=138&f=JPEG?w=750&h=500 | attribute_reasoning | nan | dev |
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