{"url":"/dataset/lyft-level-5-prediction","name":"Lyft Level 5 Prediction","full_name":null,"description_markdown":"A self-driving dataset for motion prediction, containing over 1,000 hours of data. This was collected by a fleet of 20 autonomous vehicles along a fixed route in Palo Alto, California, over a four-month period. It consists of 170,000 scenes, where each scene is 25 seconds long and captures the perception output of the self-driving system, which encodes the precise positions and motions of nearby vehicles, cyclists, and pedestrians over time. \r\n\r\nSource: [One Thousand and One Hours: Self-driving Motion Prediction Dataset](/paper/one-thousand-and-one-hours-self-driving)","description_withheld":null,"homepage":"https://self-driving.lyft.com/level5/prediction/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/one-thousand-and-one-hours-self-driving","title":"One Thousand and One Hours: Self-driving Motion Prediction Dataset","first_author":"John Houston","url":null},"license":null,"modalities":[],"tasks":[{"name":"Autonomous Vehicles","url":"/task/autonomous-vehicles","datasets_with_task":"/datasets/task/autonomous-vehicles"},{"name":"Motion Forecasting","url":"/task/motion-forecasting","datasets_with_task":"/datasets/task/motion-forecasting"},{"name":"motion prediction","url":"/task/motion-prediction","datasets_with_task":"/datasets/task/motion-prediction"}],"languages":[],"variants":["Lyft Level 5 Prediction"],"data_loaders":[{"repo":"https://github.com/open-mmlab/mmdetection3d","url":"https://github.com/open-mmlab/mmdetection3d/blob/master/docs/data_preparation.md","frameworks":["pytorch"]}],"num_papers_in_archive":7,"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."}