Improve dataset card and add metadata

Hi! I'm Niels from the community science team at Hugging Face.

I've updated the dataset card for SMD+ to include:
- Metadata for task categories and tags to improve discoverability.
- Links to the associated paper: "POST: Prior-Observation Adversarial Learning of Spatio-Temporal Associations for Multivariate Time Series Anomaly Detection".
- A link to the official GitHub repository.
- A sample usage section with the evaluation command found in the project's README.
- Better formatting for the citation.

README.md

@@ -1,10 +1,33 @@
 ---
-{license: apache-2.0}
+license: apache-2.0
+task_categories:
+- other
+tags:
+- time-series
+- anomaly-detection
 ---
 
-SMD+ dataset, please consider citing our work:
+# 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](https://huggingface.co/papers/2605.18128).
+
+- **Code:** [https://github.com/anocodetest1/POST](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:
+
+```bash
+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:
+
+```bibtex
 @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},