{"url":"/dataset/wikinldb","name":"WikiNLDB","full_name":null,"description_markdown":"WikiNLDB is a novel dataset for training Natural Language Databases (NLDBs) which is generated by transforming structured data from Wikidata into natural language facts and queries.\r\n\r\nImage source: [https://arxiv.org/pdf/2106.01074v1.pdf](https://arxiv.org/pdf/2106.01074v1.pdf)","description_withheld":null,"homepage":"https://github.com/facebookresearch/NeuralDB","introduced_date":"2021-06-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/database-reasoning-over-text","title":"Database Reasoning Over Text","first_author":"James Thorne","url":null},"license":{"name":"CC BY-SA 2.0","url":"https://creativecommons.org/licenses/by-sa/2.0/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[],"variants":["WikiNLDB"],"data_loaders":[],"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."}