{"url":"/dataset/czech-restaurant-information","name":"Czech restaurant information","full_name":null,"description_markdown":"Czech restaurant information is a dataset for NLG in task-oriented spoken dialogue systems with Czech as the target language. It originated as a translation of the English San Francisco Restaurants dataset by Wen et al. (2015).\r\n\r\nSource: [https://github.com/UFAL-DSG/cs_restaurant_dataset](https://github.com/UFAL-DSG/cs_restaurant_dataset)","description_withheld":null,"homepage":"https://github.com/UFAL-DSG/cs_restaurant_dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/neural-generation-for-czech-data-and","title":"Neural Generation for Czech: Data and Baselines","first_author":"Ondřej Dušek","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Generation","url":"/task/text-generation","datasets_with_task":"/datasets/task/text-generation"},{"name":"Language Modelling","url":"/task/language-modelling","datasets_with_task":"/datasets/task/language-modelling"}],"languages":[{"name":"Czech","url":"/datasets/language/czech"}],"variants":["Czech restaurant information"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/community-datasets/cs_restaurants","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/cs_restaurants","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/UFAL-DSG/cs_restaurant_dataset","url":"https://github.com/UFAL-DSG/cs_restaurant_dataset","frameworks":[]}],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/text-generation-on-czech-restaurant","task":"Text Generation","dataset_variant":"Czech restaurant information","rows":3,"metrics":["METEOR"],"first_row_in_archive_order":{"model":"TGen++","paper":"/paper/the-gem-benchmark-natural-language-generation","metrics":{"METEOR":"0.167"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/the-gem-benchmark-natural-language-generation","title":"The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics","date":"2021-02-02","rows_on_this_dataset":3,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}