README.md

metadata

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.

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 before reuse. File checksums and source counts are in MANIFEST.json.