README.md

metadata

license: apache-2.0
task_categories:
  - other
tags:
  - time-series
  - anomaly-detection

SMD+ Dataset

SMD+ (Server Machine Dataset Plus) is a synthetic benchmark for Multivariate Time Series Anomaly Detection (MTSAD) featuring precise channel-wise annotations. It is designed to evaluate both time-wise detection and spatial anomaly localization capabilities.

This dataset was introduced in the paper POST: Prior-Observation Adversarial Learning of Spatio-Temporal Associations for Multivariate Time Series Anomaly Detection.

• Code: https://github.com/anocodetest1/POST

Sample Usage

According to the official repository, you can evaluate a model on the SMD+ dataset using the following command:

python main_channel.py --anomaly_ratio 0.5 --batch_size 64 --mode test --dataset SMD+ --data_path dataset/SMD+ --input_c 38 --output_c 38

Citation

Please consider citing the following work if you use this dataset:

@misc{zhang2026postpriorobservationadversariallearning,
      title={POST: Prior-Observation Adversarial Learning of Spatio-Temporal Associations for Multivariate Time Series Anomaly Detection}, 
      author={Suofei Zhang and Yaxuan Zheng and Haifeng Hu},
      year={2026},
      eprint={2605.18128},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2605.18128}, 
}