{"url":"/dataset/bitod","name":"BiToD","full_name":null,"description_markdown":"**BiToD** is a bilingual multi-domain dataset for end-to-end task-oriented dialogue modeling. BiToD contains over 7k multi-domain dialogues (144k utterances) with a large and realistic bilingual knowledge base. It serves as an effective benchmark for evaluating bilingual ToD systems and cross-lingual transfer learning approaches.","description_withheld":null,"homepage":"https://github.com/HLTCHKUST/BiToD","introduced_date":"2021-06-05","introduced_date_note":null,"introduced_by":{"paper":"/paper/bitod-a-bilingual-multi-domain-dataset-for","title":"BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modeling","first_author":"Zhaojiang Lin","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Task-Oriented Dialogue Systems","url":"/task/task-oriented-dialogue-systems","datasets_with_task":"/datasets/task/task-oriented-dialogue-systems"},{"name":"End-To-End Dialogue Modelling","url":"/task/end-to-end-dialogue-modelling","datasets_with_task":"/datasets/task/end-to-end-dialogue-modelling"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["BiToD"],"data_loaders":[],"num_papers_in_archive":9,"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."}