{"url":"/dataset/wild-time","name":"Wild-Time","full_name":null,"description_markdown":"**Wild-Time** is a benchmark of 5 datasets that reflect temporal distribution shifts arising in a variety of real-world applications, including patient prognosis and news classification. On these datasets, we systematically benchmark 13 prior approaches, including methods in domain generalization, continual learning, self-supervised learning, and ensemble learning.\r\n\r\nSource: [Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time](https://arxiv.org/pdf/2211.14238v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2211.14238v1.pdf](https://arxiv.org/pdf/2211.14238v1.pdf)","description_withheld":null,"homepage":"https://github.com/huaxiuyao/Wild-Time","introduced_date":"2022-11-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/wild-time-a-benchmark-of-in-the-wild","title":"Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time","first_author":"Huaxiu Yao","url":null},"license":{"name":"MIT License","url":"https://github.com/huaxiuyao/Wild-Time/blob/main/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Continual Learning","url":"/task/continual-learning","datasets_with_task":"/datasets/task/continual-learning"},{"name":"Domain Generalization","url":"/task/domain-generalization","datasets_with_task":"/datasets/task/domain-generalization"},{"name":"Self-Supervised Learning","url":"/task/self-supervised-learning","datasets_with_task":"/datasets/task/self-supervised-learning"},{"name":"Ensemble Learning","url":"/task/ensemble-learning","datasets_with_task":"/datasets/task/ensemble-learning"}],"languages":[],"variants":["Wild-Time"],"data_loaders":[],"num_papers_in_archive":6,"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."}