{"url":"/dataset/neural-conversational-qa","name":"Neural Conversational QA","full_name":null,"description_markdown":"A modified data-set that has fewer spurious patterns than the original data-set, consequently allowing models to learn better.\r\n\r\nSource: [Neural Conversational QA: Learning to Reason vs Exploiting Patterns](/paper/neural-conversational-qa-learning-to-reason-1)","description_withheld":null,"homepage":"https://github.com/nikhilweee/neural-conv-qa","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/neural-conversational-qa-learning-to-reason-1","title":"Neural Conversational QA: Learning to Reason vs Exploiting Patterns","first_author":"Nikhil Verma","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Neural Conversational QA"],"data_loaders":[{"repo":"https://github.com/nikhilweee/neural-conv-qa","url":"https://github.com/nikhilweee/neural-conv-qa","frameworks":[]}],"num_papers_in_archive":1,"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."}