Datasets:
Formats:
parquet
Size:
100M - 1B
ArXiv:
Tags:
timeseries
timeseries clustering
changepoint-detection
correlation-structure
Synthetic
benchmark
License:
feature colab earlier
Browse files
README.md
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This dataset is published as a pre-publication release. An accompanying research paper is forthcoming on arXiv.
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**All usage of this dataset must include proper attribution to the original authors as specified below.**
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## Dataset Description
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CSTS (**C**orrelation **S**tructures in **T**ime **S**eries) is a comprehensive synthetic benchmarking dataset for
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evaluating correlation structure discovery in time series data. The dataset systematically models known correlation
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This dataset is published as a pre-publication release. An accompanying research paper is forthcoming on arXiv.
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**All usage of this dataset must include proper attribution to the original authors as specified below.**
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## TL/DR
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Try our dataset loading examples in Google Colab to get started quickly!
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[](https://colab.research.google.com/github/isabelladegen/corrclust-validation/blob/main/src/utils/hf_tooling/CSTS_HuggingFace_UsageExample.ipynb)
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## Dataset Description
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CSTS (**C**orrelation **S**tructures in **T**ime **S**eries) is a comprehensive synthetic benchmarking dataset for
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evaluating correlation structure discovery in time series data. The dataset systematically models known correlation
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