{"url":"/dataset/vln-ce","name":"VLN-CE","full_name":"Vision-and-Language Navigation in Continuous Environments","description_markdown":"Vision and Language Navigation in Continuous Environments (VLN-CE) is an instruction-guided navigation task with crowdsourced instructions, realistic environments, and unconstrained agent navigation. The dataset consists of 4475 trajectories converted from Room-to-Room train and validation splits. For each trajectory, multiple natural language instructions from Room-to-Room and a pre-computed shortest path are provided following the waypoints via low-level actions.","description_withheld":null,"homepage":"https://jacobkrantz.github.io/vlnce/#overview","introduced_date":"2020-04-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/beyond-the-nav-graph-vision-and-language","title":"Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments","first_author":"Jacob Krantz","url":null},"license":null,"modalities":[],"tasks":[{"name":"Image Generation","url":"/task/image-generation","datasets_with_task":"/datasets/task/image-generation"}],"languages":[],"variants":["VLN-CE"],"data_loaders":[],"num_papers_in_archive":55,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-generation-on-vln-ce","task":"Image Generation","dataset_variant":"VLN-CE","rows":4,"metrics":["FID","FID (SwAV)"],"first_row_in_archive_order":{"model":"GAUDI","paper":"/paper/gaudi-a-neural-architect-for-immersive-3d","metrics":{"FID":"18.52","FID (SwAV)":"3.63"},"code_links":[{"title":"apple/ml-gaudi","url":"https://github.com/apple/ml-gaudi"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/gaudi-a-neural-architect-for-immersive-3d","title":"GAUDI: A Neural Architect for Immersive 3D Scene Generation","date":"2022-07-27","rows_on_this_dataset":4,"code_links":1,"syntology":null}],"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."}