The dataset could not be loaded because the splits use different data file formats, which is not supported. Read more about the splits configuration. Click for more details.

Couldn't infer the same data file format for all splits. Got {'train': ('tsfile', {}), 'test': ('tsfile', {}), 'train_labels': ('csv', {}), 'test_labels': ('csv', {})}

Error code:   FileFormatMismatchBetweenSplitsError

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MSL (TsFile)

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

Overview

Mars Science Laboratory rover telemetry (55 channels) for anomaly detection.

Train: 58,317 rows.
Test: 73,729 rows.
Channels: 55.

The train and test segments are stored as two separate TsFiles (MSL_train.tsfile / MSL_test.tsfile), preserving the original split. Labels are stored as separate CSV sidecar files in labels/.

Schema (TsFile structure)

Time (INT64, milliseconds) - row index * 1000 ms. The .npy source has no timestamp, so this is a monotone 1 Hz proxy axis.
FIELD (55 channels, FLOAT) - the sensor/metric channels.
Labels (CSV sidecar) - labels/MSL_train_label.csv and labels/MSL_test_label.csv contain Time,label. The train label file is all 0; the test label file carries the per-timestep anomaly labels.

No channels or rows are dropped. Labels are not stored inside the TsFile feature tables.

Usage

Read the .tsfile files with the Apache TsFile Java or Python SDK. Join labels from the sidecar CSV files by Time within the matching split.

Source & license

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

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Total file size:

2.02 MB

Paper for THUgewu/MSL

Deep Time Series Models: A Comprehensive Survey and Benchmark

Paper • 2407.13278 • Published Jul 18, 2024