{"url":"/dataset/harpervalleybank","name":"HarperValleyBank","full_name":null,"description_markdown":"The data simulate simple consumer banking interactions, containing about 23 hours of audio from 1,446 human-human conversations between 59 unique speakers.\r\n\r\nSource: [HarperValleyBank: A Domain-Specific Spoken Dialog Corpus](/paper/harpervalleybank-a-domain-specific-spoken)","description_withheld":null,"homepage":"https://github.com/cricketclub/gridspace-stanford-harper-valley","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/harpervalleybank-a-domain-specific-spoken","title":"HarperValleyBank: A Domain-Specific Spoken Dialog Corpus","first_author":"Mike Wu","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["HarperValleyBank"],"data_loaders":[{"repo":"https://github.com/cricketclub/gridspace-stanford-harper-valley","url":"https://github.com/cricketclub/gridspace-stanford-harper-valley","frameworks":["pytorch"]}],"num_papers_in_archive":4,"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."}