Datasets › FewDR

FewDR

Introduced by Si Sun et al. in Rethinking Dense Retrieval's Few-Shot Ability12 Apr 2023 archive 2025-07-28

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.

Source: Rethinking Dense Retrieval's Few-Shot Ability

Image Source: Rethinking Dense Retrieval's Few-Shot Ability

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

MIT License

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • FewDR

1 variant name, as the archive lists them.

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