{"url":"/dataset/fewdr","name":"FewDR","full_name":null,"description_markdown":"**FewDR** is a dataset for Few-shot dense retrieval (DR). FewDR aims to effectively generalize to novel search scenarios by learning a few samples. Specifically, FewDR employs class-wise sampling to establish a standardized \"few-shot\" setting with finely-defined classes, reducing variability in multiple sampling rounds.\r\n\r\nSource: [Rethinking Dense Retrieval's Few-Shot Ability](https://arxiv.org/pdf/2304.05845v1.pdf)\r\n\r\nImage Source: [Rethinking Dense Retrieval's Few-Shot Ability](https://arxiv.org/pdf/2304.05845v1.pdf)","description_withheld":null,"homepage":"https://github.com/openmatch/ance-tele","introduced_date":"2023-04-12","introduced_date_note":null,"introduced_by":{"paper":"/paper/rethinking-dense-retrieval-s-few-shot-ability","title":"Rethinking Dense Retrieval's Few-Shot Ability","first_author":"Si Sun","url":null},"license":{"name":"MIT License","url":"https://github.com/OpenMatch/ANCE-Tele/blob/master/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Retrieval","url":"/task/retrieval","datasets_with_task":"/datasets/task/retrieval"}],"languages":[],"variants":["FewDR"],"data_loaders":[],"num_papers_in_archive":1,"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."}