{"url":"/dataset/touchdown-dataset","name":"Touchdown Dataset","full_name":null,"description_markdown":"Touchdown is a corpus for executing navigation instructions and resolving spatial descriptions in visual real-world environments. The task is to follow instruction to a goal position and there find a hidden object, Touchdown the bear.\n\nSource: [https://github.com/lil-lab/touchdown](https://github.com/lil-lab/touchdown)\nImage Source: [https://github.com/lil-lab/touchdown](https://github.com/lil-lab/touchdown)","description_withheld":null,"homepage":"https://github.com/lil-lab/touchdown","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/touchdown-natural-language-navigation-and","title":"Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments","first_author":"Howard Chen","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Style Transfer","url":"/task/style-transfer","datasets_with_task":"/datasets/task/style-transfer"},{"name":"Vision and Language Navigation","url":"/task/vision-and-language-navigation","datasets_with_task":"/datasets/task/vision-and-language-navigation"},{"name":"Text Style Transfer","url":"/task/text-style-transfoer","datasets_with_task":"/datasets/task/text-style-transfoer"}],"languages":[],"variants":["Touchdown Dataset"],"data_loaders":[{"repo":"https://github.com/lil-lab/touchdown","url":"https://github.com/lil-lab/touchdown","frameworks":["pytorch"]}],"num_papers_in_archive":19,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/vision-and-language-navigation-on-touchdown","task":"Vision and Language Navigation","dataset_variant":"Touchdown Dataset","rows":12,"metrics":["Task Completion (TC)"],"first_row_in_archive_order":{"model":"FLAME","paper":"/paper/flame-learning-to-navigate-with-multimodal","metrics":{"Task Completion (TC)":"40.20"},"code_links":[{"title":"xyz9911/FLAME","url":"https://github.com/xyz9911/FLAME"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/flame-learning-to-navigate-with-multimodal","title":"FLAME: Learning to Navigate with Multimodal LLM in Urban Environments","date":"2024-08-20","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":6,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/analyzing-generalization-of-vision-and","title":"Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor Areas","date":"2022-03-25","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":0,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/learning-to-stop-a-simple-yet-effective","title":"Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation","date":"2020-09-28","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/multimodal-text-style-transfer-for-outdoor","title":"Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation","date":"2020-07-01","rows_on_this_dataset":4,"code_links":1,"syntology":null},{"paper":"/paper/retouchdown-adding-touchdown-to-streetlearn","title":"Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View","date":"2020-01-10","rows_on_this_dataset":1,"code_links":4,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":1,"samples_unverified":7,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/touchdown-natural-language-navigation-and","title":"Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments","date":"2018-11-29","rows_on_this_dataset":2,"code_links":4,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":19,"samples_ran":7,"samples_unverified":12,"pointer_only_for_licence":1,"papers_with_no_sample_that_ran":1,"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."}