Datasets › AnoShift
AnoShift (AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection)
AnoShift is a large-scale anomaly detection benchmark, which focuses on splitting the test data based on its temporal distance to the training set, introducing three testing splits: IID, NEAR, and FAR. This testing scenario proves to capture the in-time performance degradation of anomaly detection methods for classical to masked language models.
AnoShift benchmark aims to enable a better estimate of the anomaly detection model’s performance, under natural distribution shifts that occur over time in the input, closer to the real-world performance, leading to more robust anomaly detection algorithms.
The benchmark is based on the Kyoto-2016 dataset (https://www.takakura.com/Kyoto_data/).
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 | ||||
|---|---|---|---|---|---|---|
| Unsupervised Anomaly Detection | AnoShift | ACR-NTL (zero-shot, test anomaly ratio=1%) ROC-AUC FAR 62.5 | Zero-Shot Anomaly Detection via Batch Normalization | aodongli/zero-shot-ad-via-batch-norm | 15 | Compare |
Papers archive 2025-07-28
2 shown of 2 papers 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 6. 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 | |||
|---|---|---|---|---|
| Zero-Shot Anomaly Detection via Batch Normalization | 1 | 4 | 15 Feb 2023 | ran 1 of 1 samples (0 unverified) |
| AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection | 1 | 11 | 30 Jun 2022 | ran 0 of 13 samples (13 unverified) |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- AnoShift
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections