Datasets:
| pretty_name: Open-UTS | |
| language: | |
| - zxx | |
| license: other | |
| tags: | |
| - time-series | |
| - anomaly-detection | |
| # Open-UTS | |
| Open-UTS contains **126 univariate time series** from nine datasets for anomaly detection. Each row in `data/test.parquet` is one complete sequence, including its training segment. | |
| | Column | Description | | |
| | --- | --- | | |
| | `values` | Observations in time order | | |
| | `labels` | Original anomaly labels, unchanged | | |
| | `labels_corrected` | Labels with known unlabeled positions set to `null` | | |
| | `train_end` | First index after the training segment | | |
| | `id`, `source`, `original_sha256` | Series ID, source dataset, and source-file checksum | | |
| `null` means **unknown**, not normal. The corrected intervals are listed in [CORRECTIONS.json](CORRECTIONS.json). | |
| ```python | |
| from datasets import load_dataset | |
| row = load_dataset("MathewShen/open-uts", split="test")[0] | |
| train = row["values"][:row["train_end"]] | |
| test = row["values"][row["train_end"]:] | |
| test_labels = row["labels_corrected"][row["train_end"]:] | |
| ``` | |
| The nine sources have different licenses. See [source credits and license terms](THIRD_PARTY_NOTICES.md) before reuse. File checksums and source counts are in [MANIFEST.json](MANIFEST.json). | |