{"url":"/dataset/xl-r2r","name":"XL-R2R","full_name":"Cross-lingual Room-to-Room","description_markdown":"The **XL-R2R** dataset is built upon the R2R dataset and extends it with Chinese instructions. XL-R2R preserves the same splits as in R2R and thus consists of train, val-seen, and val-unseen splits with both English and Chinese instructions, and test split with English instructions only.\n\nSource: [https://github.com/zzxslp/Crosslingual-VLN](https://github.com/zzxslp/Crosslingual-VLN)","description_withheld":null,"homepage":"https://github.com/zzxslp/Crosslingual-VLN","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/cross-lingual-vision-language-navigation-1","title":"Cross-Lingual Vision-Language Navigation","first_author":"An Yan","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Zero-Shot Learning","url":"/task/zero-shot-learning","datasets_with_task":"/datasets/task/zero-shot-learning"},{"name":"Domain Adaptation","url":"/task/domain-adaptation","datasets_with_task":"/datasets/task/domain-adaptation"},{"name":"Vision-Language Navigation","url":"/task/vision-language-navigation","datasets_with_task":"/datasets/task/vision-language-navigation"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["XL-R2R"],"data_loaders":[{"repo":"https://github.com/zzxslp/Crosslingual-VLN","url":"https://github.com/zzxslp/Crosslingual-VLN","frameworks":[]}],"num_papers_in_archive":2,"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."}