{"url":"/dataset/mcvqa","name":"MCVQA","full_name":"Multilingual and Code-mixed Visual Question Answering","description_markdown":"The MCVQA dataset consists of 248, 349 training questions and 121, 512 validation\r\nquestions for real images in Hindi and Code-mixed. For each Hindi question, we also provide its 10 corresponding answers in Hindi.","description_withheld":null,"homepage":"https://www.iitp.ac.in/~ai-nlp-ml/resources.html","introduced_date":"2020-12-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-unified-framework-for-multilingual-and-code","title":"A Unified Framework for Multilingual and Code-Mixed Visual Question Answering","first_author":"Deepak Gupta","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Visual Question Answering (VQA)","url":"/task/visual-question-answering","datasets_with_task":"/datasets/task/visual-question-answering"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Hindi","url":"/datasets/language/hindi"}],"variants":["MCVQA"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}