Datasets › DABS
DABS (Domain-Agnostic Benchmark for Self-supervised learning)
DABS is a domain-agnostic benchmark for self-supervised learning to encourage research and progress towards domain-agnostic methods.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Self-Supervised Learning | DABS | Pretraining: None Images & Text 57.5 | DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning | alextamkin/dabs | 3 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 4. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning | 1 | 3 | 23 Nov 2021 | ran 0 of 2 samples (2 unverified) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- DABS
1 variant name, as the archive lists them.
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