Datasets:

THUgewu
/

PSM

Tasks:

Time Series Forecasting

Modalities:

Size:

ArXiv:

Tags:

anomaly-detection

License:

Dataset card Files Files and versions

PSM / README.md

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Fix task_categories to official value time-series-forecasting

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license: cc-by-4.0
task_categories:
  - time-series-forecasting
tags:
  - tsfile
  - timeseries
  - time-series
  - anomaly-detection
pretty_name: PSM (TsFile)
size_categories:
  - 100K<n<1M
configs:
  - config_name: default
    data_files:
      - split: train
        path: PSM_train.tsfile
      - split: test
        path: PSM_test.tsfile

PSM (TsFile)

Apache TsFile version of the PSM anomaly-detection subset of thuml/Time-Series-Library.

Overview

Pooled Server Metrics: 25 server-application metrics for anomaly detection.

Train: 132,481 rows (all normal).
Test: 87,841 rows (with per-timestep 0/1 anomaly labels).
Channels: 25.

The train and test segments are stored as two separate TsFiles (PSM_train.tsfile / PSM_test.tsfile), preserving the original split.

Schema (TsFile structure)

Time (INT64, milliseconds) — timestamp_(min) * 60000.
FIELD (25 channels, FLOAT) — the sensor/metric channels.
label (INT32) — per-timestep anomaly flag (0/1). The train file is all 0 (no ground-truth labels); the test file carries the anomaly labels.

No channels or rows are dropped.

Usage

Read the .tsfile files with the Apache TsFile Java or Python SDK.

Source & license

Original dataset: https://huggingface.co/datasets/thuml/Time-Series-Library (subset PSM)
Author / publisher: thuml (Tsinghua University)
Paper: https://arxiv.org/abs/2407.13278
License: CC BY 4.0