[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-179894-105":3,"doc-detail-179894-en":80,"detail-sidebar-cat-0-en-105":97},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":9,"keywords":10,"description":11,"schema_data":12,"social_meta":73,"head_meta":75,"extra_data":77,"updated_unix":79},105,"en","paper0","","The document presents experimental results organized by rounds (R1, R2, R3) and task types (CTA, CPA, CEA), evaluating multiple target knowledge graphs including DBpedia, Wikidata, and Schema.org. It compares datasets such as HardTables, BiodivTab, and GitTables using validation and test splits. Reported metrics include the number of tables, average rows and columns, and counts of CEA/CTA/CPA targets, along with per-round breakdowns and summary totals for each dataset.",{"@graph":13,"@context":72},[14,33,55],{"@type":15,"itemListElement":16},"BreadcrumbList",[17,22,26,30],{"item":18,"name":19,"@type":20,"position":21},"https://docshare.wps.com","Home","ListItem",1,{"item":23,"name":24,"@type":20,"position":25},"https://docshare.wps.com/document/","Document",2,{"item":27,"name":28,"@type":20,"position":29},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":31,"name":9,"@type":20,"position":32},"https://docshare.wps.com/document/paper0/179894/",4,{"url":31,"name":9,"@type":34,"image":35,"author":40,"headline":9,"publisher":43,"fileFormat":46,"inLanguage":8,"description":11,"dateModified":47,"datePublished":48,"encodingFormat":46,"isAccessibleForFree":49,"interactionStatistic":50},"DigitalDocument",{"url":36,"@type":37,"width":38,"height":39},"https://docshare.wps.com/thumbnails/paper0/179894.png","ImageObject",300,407,{"name":41,"@type":42},"Aditya","Person",{"url":18,"name":44,"@type":45},"DocShare","Organization","application/pdf","2026-10-21","2026-09-02",true,{"@type":51,"interactionType":52,"userInteractionCount":54},"InteractionCounter",{"@type":53},"ViewAction",29,{"@type":56,"mainEntity":57},"FAQPage",[58,64,68],{"name":59,"@type":60,"acceptedAnswer":61},"What rounds and tasks are evaluated in the document?","Question",{"text":62,"@type":63},"It evaluates R1, R2, and R3 rounds with tasks labeled CTA, CPA, and CEA.","Answer",{"name":65,"@type":60,"acceptedAnswer":66},"Which knowledge graphs are used as targets for evaluation?",{"text":67,"@type":63},"Target knowledge graphs include DBpedia, Wikidata, and Schema.org.",{"name":69,"@type":60,"acceptedAnswer":70},"How are datasets like HardTables, BiodivTab, and GitTables compared?",{"text":71,"@type":63},"They are compared using validation and test results, reporting counts of tables, average rows/columns, and target counts for CEA/CTA/CPA per round.","https://schema.org",{"og:url":31,"og:type":74,"og:title":9,"og:site_name":44,"og:description":11},"article",{"robots":76,"canonical":31},"index,follow",{"doc_id":78,"site_id":7},179894,1788338653,{"code":4,"msg":81,"data":82},"success",{"doc_id":78,"user_id":83,"nickname":41,"user_avatar":84,"doc_module":4,"category_id":85,"category_name":28,"doc_title":9,"doc_description":11,"doc_content":86,"file_id":87,"file_url":88,"file_type":89,"file_size":90,"view_count":54,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":91,"language":92,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":93,"faqs":94,"seo_title":95,"seo_description":11,"update_tm":79,"read_time":96,"preview_page_count":4},962085564549,"https://ap-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45",8,"|  | Rounds | Tasks |  | Target KGs |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | R1 R2 R3 | CTA CPA CEA |  | DBpedia | Wikidata | [Schema.org](Schema.org) |\n| 2T | ✓ | ✓ | ✓ | ✓ | ✓ |  |\n| HardTables | ✓ ✓ | ✓ ✓ | ✓ |  | ✓ |  |\n| BiodivTab | ✓ | ✓ | ✓ | ✓ |  |  |\n| GitTables | ✓ | ✓ |  | ✓ |  | ✓ |\n\n\n| HardTables |  |  | 2T | BiodivTab | GitTables4 |\n| --- | --- | --- | --- | --- | --- |\n| Validation | Round 1 | Round 2 | Round 2 | Round 3 | Round 3 |\n| \\# Tables | 200 | 457 | 36 | 5 | 6,892 |\n| Avg. \\# Rows | 5.74 | 5.54 | 683.3􀁗\u003Cbr>1 , 373􀁄 | 119 | 61.1 |\n| Avg. \\# Cols | 2.6 | 2.56 | 4.31􀁗\u003Cbr>4.42􀁄 | 20.4 | 14.4 |\n| \\# CEA Targets | 1 , 406􀁗 | 1 , 983􀁗 | 81 , 126􀁗\u003Cbr>177 , 453􀁄 | 1 , 463􀁄 | NA |\n| \\# CTA Targets | 240􀁗 | 398􀁗 | 97􀁗\u003Cbr>111􀁄 | 43􀁄 | 6 , 228􀁄,􀁐\u003Cbr>4 , 411􀁓,􀁐\u003Cbr>1 , 001􀁓,􀁃 |\n| \\# CPA Targets | 319􀁗 | 348􀁗 | NA | NA | NA |\n| Test | Round 1 | Round 2 | Round 2 | Round 3 | Round 3 |\n|  |  |  |  |  |  |\n| Tables \\# | 3,691 | 4,679 | 144 | 45 | 6,892 |\n| Avg. \\# Rows | 5.69 | 5.57 | 1 , 180.69􀁗 1 , 008.26􀁄 | 275.73 | 61.1 |\n| Avg. \\# Cols | 2.56 | 2.6 | 4.49􀁗\u003Cbr>4.47􀁄 | 24.36 | 14.4 |\n| \\# CEA Targets | 26 , 189􀁗 | 22 , 009􀁗 | 586 , 118􀁗\u003Cbr>48 , 6203􀁄 | 31 , 942􀁄 | NA |\n| \\# CTA Targets | 4 , 511􀁗 | 4 , 534􀁗 | 443􀁗\u003Cbr>429􀁄 | 526􀁄 | 6 , 228􀁄,􀁐\u003Cbr>4 , 411􀁓,􀁐\u003Cbr>1 , 000􀁓,􀁃 |\n| \\# CPA Targets | 5 , 745􀁗 | 3 , 954􀁗 | NA | NA | NA |\n\n\n| Round 1\u003Cbr>HardTables |  | Round 2 |  | Round 3 |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  | 2T HardTables |  | BiodivTab | GitTables |\n| CEA | 6 | 5􀁗\u003Cbr>5􀁄 | 5 | 5 | NA |\n| CTA | 8 | 6􀁗\u003Cbr>5􀁄 | 6 | 7 | 5􀁄\u003Cbr>4􀁓 |\n| CPA | 6 | NA | 6 | NA | NA |\n| Total | 9 | 6 | 6 | 7 | 5 |\n\n\n| Round 1\u003Cbr>HardTables |  | Round 2 |  | Round 3 |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  | 2T HardTables |  | BiodivTab | GitTables |\n| CEA | 0.88􀁗 | 0.84􀁗\u003Cbr>0.56􀁄 | 0.69􀁗 | 0.56􀁄 | NA |\n| CTA | 0.89􀁗 | 0.35􀁗\u003Cbr>0.32􀁄 | 0.77􀁗 | 0.49􀁄 | 0.33􀁄\u003Cbr>0.50􀁓 |\n| CPA | 0.80􀁗 | NA | 0.76􀁗 | NA | NA 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