Update README.md

README.md

@@ -1,5 +1,236 @@
 ---
-language:
-- en
 pretty_name: mTSBench
----
+license: cc-by-nc-4.0
+size_categories:
+- 10M<n<100M
+tags:
+- timeseries
+- multivariate-time-series
+- anomaly-detection
+- model-selection
+- benchmark
+configs:
+- config_name: CalIt2
+  default: true
+  data_files:
+  - split: train
+    path: CalIt2/*_train.csv
+  - split: validation
+    path: CalIt2/*_val.csv
+  - split: test
+    path: CalIt2/*_test.csv
+- config_name: Daphnet
+  data_files:
+  - split: train
+    path: Daphnet/*_train.csv
+  - split: validation
+    path: Daphnet/*_val.csv
+  - split: test
+    path: Daphnet/*_test.csv
+- config_name: Exathlon
+  data_files:
+  - split: train
+    path: Exathlon/*_train.csv
+  - split: validation
+    path: Exathlon/*_val.csv
+  - split: test
+    path: Exathlon/*_test.csv
+- config_name: GECCO
+  data_files:
+  - split: train
+    path: GECCO/*_train.csv
+  - split: validation
+    path: GECCO/*_val.csv
+  - split: test
+    path: GECCO/*_test.csv
+- config_name: GHL
+  data_files:
+  - split: train
+    path: GHL/*_train.csv
+  - split: validation
+    path: GHL/*_val.csv
+  - split: test
+    path: GHL/*_test.csv
+- config_name: Genesis
+  data_files:
+  - split: train
+    path: Genesis/*_train.csv
+  - split: validation
+    path: Genesis/*_val.csv
+  - split: test
+    path: Genesis/*_test.csv
+- config_name: GutenTAG
+  data_files:
+  - split: train
+    path: GutenTAG/*_train.csv
+  - split: validation
+    path: GutenTAG/*_val.csv
+  - split: test
+    path: GutenTAG/*_test.csv
+- config_name: MITDB
+  data_files:
+  - split: train
+    path: MITDB/*_train.csv
+  - split: validation
+    path: MITDB/*_val.csv
+  - split: test
+    path: MITDB/*_test.csv
+- config_name: MSL
+  data_files:
+  - split: train
+    path: MSL/*_train.csv
+  - split: validation
+    path: MSL/*_val.csv
+  - split: test
+    path: MSL/*_test.csv
+- config_name: OPPORTUNITY
+  data_files:
+  - split: train
+    path: OPPORTUNITY/*_train.csv
+  - split: validation
+    path: OPPORTUNITY/*_val.csv
+  - split: test
+    path: OPPORTUNITY/*_test.csv
+- config_name: PSM
+  data_files:
+  - split: train
+    path: PSM/*_train.csv
+  - split: validation
+    path: PSM/*_val.csv
+  - split: test
+    path: PSM/*_test.csv
+- config_name: SMAP
+  data_files:
+  - split: train
+    path: SMAP/*_train.csv
+  - split: validation
+    path: SMAP/*_val.csv
+  - split: test
+    path: SMAP/*_test.csv
+- config_name: SMD
+  data_files:
+  - split: train
+    path: SMD/*_train.csv
+  - split: validation
+    path: SMD/*_val.csv
+  - split: test
+    path: SMD/*_test.csv
+- config_name: SVDB
+  data_files:
+  - split: train
+    path: SVDB/*_train.csv
+  - split: validation
+    path: SVDB/*_val.csv
+  - split: test
+    path: SVDB/*_test.csv
+- config_name: cicids
+  data_files:
+  - split: train
+    path: cicids/*_train.csv
+  - split: validation
+    path: cicids/*_val.csv
+  - split: test
+    path: cicids/*_test.csv
+- config_name: creditcard
+  data_files:
+  - split: train
+    path: creditcard/*_train.csv
+  - split: validation
+    path: creditcard/*_val.csv
+  - split: test
+    path: creditcard/*_test.csv
+- config_name: metro
+  data_files:
+  - split: train
+    path: metro/*_train.csv
+  - split: validation
+    path: metro/*_val.csv
+  - split: test
+    path: metro/*_test.csv
+- config_name: room-occupancy
+  data_files:
+  - split: train
+    path: room-occupancy/*_train.csv
+  - split: validation
+    path: room-occupancy/*_val.csv
+  - split: test
+    path: room-occupancy/*_test.csv
+- config_name: swan
+  data_files:
+  - split: train
+    path: swan/*_train.csv
+  - split: validation
+    path: swan/*_val.csv
+  - split: test
+    path: swan/*_test.csv
+---
+
+# mTSBench
+
+mTSBench is a collection of 344 multivariate time series from 19 datasets commonly used in anomaly detection research. Each folder corresponds to one dataset and contains `*_train.csv`, `*_test.csv`, and `*_val.csv` files. See [`data_summary.csv`](https://github.com/PLAN-Lab/mTSBench/blob/main/Datasets/data_summary.csv) for per-file statistics.
+
+## How to download
+
+This repository uses Git LFS for the CSV files.
+
+```bash
+git lfs install
+git clone https://huggingface.co/datasets/PLAN-Lab/mTSBench
+```
+
+## Load with Hugging Face
+
+Select one of the 19 configurations so files with different schemas are not combined.
+
+```python
+from datasets import load_dataset
+
+calit2 = load_dataset("PLAN-Lab/mTSBench", "CalIt2")
+
+df_train = calit2["train"].to_pandas()
+df_test = calit2["test"].to_pandas()
+```
+
+Each CSV contains a `timestamp` column, dataset-specific feature columns, and a binary `is_anomaly` label.
+
+## Dataset overview
+
+| Dataset | Domain | #TS | #Dims | Length | #AnomPts | #AnomSeqs |
+|---|---|---:|---:|---:|---:|---:|
+| CalIt2 | Smart Building | 1 | 3 | >5K | 0 | 21 |
+| CreditCard | Finance / Fraud Detection | 1 | 30 | >100K | 219 | 10 |
+| Daphnet | Healthcare | 26 | 10 | >50K | 0 | 1–16 |
+| Exathlon | Cloud Computing | 30 | 21 | >50K | 0–4 | 0–6 |
+| GECCO | Water Quality Monitoring | 1 | 10 | >50K | 0 | 37 |
+| GHL | Industrial Process | 14 | 17 | >100K | 0 | 1–4 |
+| Genesis | Industrial Automation | 1 | 19 | >5K | 0 | 2 |
+| GutenTAG | Synthetic Benchmark | 30 | 21 | >10K | 0 | 1–3 |
+| MITDB | Healthcare | 47 | 3 | >500K | 0 | 1–720 |
+| MSL | Spacecraft Telemetry | 26 | 56 | >5K | 0 | 1–3 |
+| OPPORTUNITY | Human Activity Recognition | 13 | 33 | >25K | 0 | 1 |
+| Occupancy | Smart Building | 2 | 6 | >5K | 1–3 | 9–13 |
+| PSM | IT Infrastructure | 1 | 27 | >50K | 0 | 39 |
+| SMAP | Spacecraft Telemetry | 48 | 26 | >5K | 0 | 1–3 |
+| SMD | IT Infrastructure | 18 | 39 | >10K | 0 | 4–24 |
+| SVDB | Healthcare | 78 | 3 | >100K | 0 | 2–678 |
+| CIC-IDS-2017 | Cybersecurity | 5 | 73 | >100K | 0–8656 | 0–2546 |
+| Metro | Transportation | 1 | 6 | >10K | 20 | 5 |
+| SWAN-SF | Industrial Process | 1 | 39 | >50K | 5233 | 1382 |
+
+## Citation
+
+```bibtex
+@article{zhou2026mtsbench,
+  title={mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale},
+  author={Zhou, Xiaona and Brif, Constantin and Lourentzou, Ismini},
+  journal={Transactions on Machine Learning Research},
+  year={2026}
+}
+```
+
+## Links
+
+- [Paper](https://arxiv.org/abs/2506.21550)
+- [Code](https://github.com/PLAN-Lab/mTSBench)
+- [Project page](https://plan-lab.github.io/projects/mtsbench/)
+