{"url":"/dataset/m2qa","name":"M2QA","full_name":"Multi-domain Multilingual Question Answering","description_markdown":"M2QA (Multi-domain Multilingual Question Answering) is an extractive question answering benchmark for evaluating joint language and domain transfer. M2QA includes 13,500 SQuAD 2.0-style question-answer instances in German, Turkish, and Chinese for the domains of product reviews, news, and creative writing. 40% of the data are unanswerable questions, 60% are answerable.","description_withheld":null,"homepage":"","introduced_date":"2024-07-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/m2qa-multi-domain-multilingual-question","title":"M2QA: Multi-domain Multilingual Question Answering","first_author":"Leon Engländer","url":null},"license":{"name":"CC-BY-ND 4.0","url":"https://creativecommons.org/licenses/by-nd/4.0/legalcode"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Transfer Learning","url":"/task/transfer-learning","datasets_with_task":"/datasets/task/transfer-learning"},{"name":"Multilingual NLP","url":"/task/multilingual-nlp","datasets_with_task":"/datasets/task/multilingual-nlp"},{"name":"Extractive Question-Answering","url":"/task/extractive-question-answering","datasets_with_task":"/datasets/task/extractive-question-answering"}],"languages":[{"name":"German","url":"/datasets/language/german"},{"name":"Chinese","url":"/datasets/language/chinese"},{"name":"Turkish","url":"/datasets/language/turkish"}],"variants":["M2QA"],"data_loaders":[],"num_papers_in_archive":2,"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."}