{"url":"/dataset/30mqa","name":"30MQA","full_name":"30M Factoid Question-Answer Corpus","description_markdown":"An enormous question answer pair corpus produced by applying a novel neural network architecture on the knowledge base Freebase to transduce facts into natural language questions.\r\n\r\nSource: [Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus](/paper/generating-factoid-questions-with-recurrent)","description_withheld":null,"homepage":"https://academictorrents.com/details/973fb709bdb9db6066213bbc5529482a190098ce","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/generating-factoid-questions-with-recurrent","title":"Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus","first_author":"Iulian Vlad Serban","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Generation","url":"/task/question-generation","datasets_with_task":"/datasets/task/question-generation"}],"languages":[],"variants":["30MQA"],"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."}