{"url":"/dataset/comqa","name":"ComQA","full_name":null,"description_markdown":"ComQA is a large dataset of real user questions that exhibit different challenging aspects such as compositionality, temporal reasoning, and comparisons. ComQA questions come from the WikiAnswers community QA platform, which typically contains questions that are not satisfactorily answerable by existing search engine technology.\r\n\r\nSource: [ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters](/paper/comqa-a-community-sourced-dataset-for-complex)\r\nImage Source: [http://qa.mpi-inf.mpg.de/comqa/](http://qa.mpi-inf.mpg.de/comqa/)","description_withheld":null,"homepage":"http://qa.mpi-inf.mpg.de/comqa/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/comqa-a-community-sourced-dataset-for-complex","title":"ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters","first_author":"Abdalghani Abujabal","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Language Modelling","url":"/task/language-modelling","datasets_with_task":"/datasets/task/language-modelling"},{"name":"Semantic Parsing","url":"/task/semantic-parsing","datasets_with_task":"/datasets/task/semantic-parsing"}],"languages":[],"variants":["ComQA"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/iamrishiraj/com_qa","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/com_qa","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":9,"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."}