{"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/parsvqa-caps-a-benchmark-for-visual-question","title":"ParsVQA-Caps: A Benchmark for Visual Question Answering and Image Captioning in Persian","arxiv_id":null,"date":"2022-12-07","proceeding":"WiNLP2022 2022 12","authors":["Shaghayegh Mobasher","Ghazal Zamaninejad","Maryam Hashemi","Melika Nobakhtian","Sauleh Eetemadi"],"abstract":"Despite recent advances in vision-and-language tasks, most progress is still focused on resource-rich languages such as English. Furthermore, widespread vision-and-language datasets directly adopt images representative of American or European cultures resulting in bias. Hence we introduce ParsVQA-Caps, the first benchmark in Persian for Visual Question Answering and Image Captioning tasks. We utilize two ways to collect datasets for each task, human-based and template-based for VQA and human-based and web-based for image captioning.","url_abs":"https://www.winlp.org/wp-content/uploads/2022/11/68_Paper.pdf","url_pdf":"https://www.winlp.org/wp-content/uploads/2022/11/68_Paper.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":[],"tasks":[{"task_slug":"image-captioning","task_name":"Image Captioning"},{"task_slug":"question-answering","task_name":"Question Answering"},{"task_slug":"visual-question-answering-1","task_name":"Visual Question Answering"},{"task_slug":"visual-question-answering","task_name":"Visual Question Answering (VQA)"}],"methods":[{"method_slug":null,"method_name":"American"}],"datasets_introduced":[{"slug":"parsvqa-caps","name":"ParsVQA-Caps","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}