{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/qald-9-plus-a-multilingual-dataset-for","title":"QALD-9-plus: A Multilingual Dataset for Question Answering over DBpedia and Wikidata Translated by Native Speakers","arxiv_id":"2202.00120","date":"2022-01-31","proceeding":null,"authors":["Aleksandr Perevalov","Dennis Diefenbach","Ricardo Usbeck","Andreas Both"],"abstract":"The ability to have the same experience for different user groups (i.e., accessibility) is one of the most important characteristics of Web-based systems. The same is true for Knowledge Graph Question Answering (KGQA) systems that provide the access to Semantic Web data via natural language interface. While following our research agenda on the multilingual aspect of accessibility of KGQA systems, we identified several ongoing challenges. One of them is the lack of multilingual KGQA benchmarks. In this work, we extend one of the most popular KGQA benchmarks - QALD-9 by introducing high-quality questions' translations to 8 languages provided by native speakers, and transferring the SPARQL queries of QALD-9 from DBpedia to Wikidata, s.t., the usability and relevance of the dataset is strongly increased. Five of the languages - Armenian, Ukrainian, Lithuanian, Bashkir and Belarusian - to our best knowledge were never considered in KGQA research community before. The latter two of the languages are considered as \"endangered\" by UNESCO. We call the extended dataset QALD-9-plus and made it available online https://github.com/Perevalov/qald_9_plus.","url_abs":"https://arxiv.org/abs/2202.00120v2","url_pdf":"https://arxiv.org/pdf/2202.00120v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"qald-9-plus-a-multilingual-dataset-for","repo_url":"https://github.com/perevalov/qald_9_plus","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"CC-BY-4.0"}}],"tasks":[{"task_slug":"graph-question-answering","task_name":"Graph Question Answering"},{"task_slug":"question-answering","task_name":"Question Answering"}],"methods":[],"datasets_introduced":[{"slug":"qald-9-plus","name":"QALD-9-Plus","full_name":""}],"methods_introduced":[],"results":[{"leaderboard":"/sota/knowledge-base-question-answering-on-qald-9","task":"Knowledge Base Question Answering","dataset":"QALD-9-Plus","model":"QAnswer-Wikidata-English","rank_in_archive_order":1,"of":12,"metrics":{"Macro F1":"0.4459"},"uses_additional_data":false},{"leaderboard":"/sota/knowledge-base-question-answering-on-qald-9","task":"Knowledge Base Question Answering","dataset":"QALD-9-Plus","model":"QAnswer-Wikidata-German","rank_in_archive_order":2,"of":12,"metrics":{"Macro F1":"0.3171"},"uses_additional_data":false},{"leaderboard":"/sota/knowledge-base-question-answering-on-qald-9","task":"Knowledge Base Question Answering","dataset":"QALD-9-Plus","model":"QAnswer-DBpedia-English","rank_in_archive_order":3,"of":12,"metrics":{"Macro F1":"0.3039"},"uses_additional_data":false},{"leaderboard":"/sota/knowledge-base-question-answering-on-qald-9","task":"Knowledge Base Question Answering","dataset":"QALD-9-Plus","model":"QAnswer-Wikidata-French","rank_in_archive_order":4,"of":12,"metrics":{"Macro F1":"0.23"},"uses_additional_data":false},{"leaderboard":"/sota/knowledge-base-question-answering-on-qald-9","task":"Knowledge Base Question Answering","dataset":"QALD-9-Plus","model":"QAnswer-Wikidata-Russian","rank_in_archive_order":5,"of":12,"metrics":{"Macro F1":"0.2143"},"uses_additional_data":false},{"leaderboard":"/sota/knowledge-base-question-answering-on-qald-9","task":"Knowledge Base Question Answering","dataset":"QALD-9-Plus","model":"QAnswer-DBpedia-German","rank_in_archive_order":6,"of":12,"metrics":{"Macro F1":"0.1998"},"uses_additional_data":false},{"leaderboard":"/sota/knowledge-base-question-answering-on-qald-9","task":"Knowledge Base Question Answering","dataset":"QALD-9-Plus","model":"QAnswer-DBpedia-French","rank_in_archive_order":7,"of":12,"metrics":{"Macro F1":"0.1506"},"uses_additional_data":false},{"leaderboard":"/sota/knowledge-base-question-answering-on-qald-9","task":"Knowledge Base Question Answering","dataset":"QALD-9-Plus","model":"Platypus-Wikidata-English","rank_in_archive_order":8,"of":12,"metrics":{"Macro F1":"0.1503"},"uses_additional_data":false},{"leaderboard":"/sota/knowledge-base-question-answering-on-qald-9","task":"Knowledge Base Question Answering","dataset":"QALD-9-Plus","model":"DeepPavlov-Wikidata-English","rank_in_archive_order":9,"of":12,"metrics":{"Macro F1":"0.124"},"uses_additional_data":false},{"leaderboard":"/sota/knowledge-base-question-answering-on-qald-9","task":"Knowledge Base Question Answering","dataset":"QALD-9-Plus","model":"QAnswer-DBpedia-Russian","rank_in_archive_order":10,"of":12,"metrics":{"Macro F1":"0.0957"},"uses_additional_data":false},{"leaderboard":"/sota/knowledge-base-question-answering-on-qald-9","task":"Knowledge Base Question Answering","dataset":"QALD-9-Plus","model":"DeepPavlov-Wikidata-Russian","rank_in_archive_order":11,"of":12,"metrics":{"Macro F1":"0.087"},"uses_additional_data":false},{"leaderboard":"/sota/knowledge-base-question-answering-on-qald-9","task":"Knowledge Base Question Answering","dataset":"QALD-9-Plus","model":"Platypus-Wikidata-French","rank_in_archive_order":12,"of":12,"metrics":{"Macro F1":"0.0417"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/2202.00120","atlas_url":"https://app.syntology.ai/?focus=2202.00120","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}