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Update dataset size

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  1. README.md +9 -8
README.md CHANGED
@@ -3,18 +3,20 @@ license: cc-by-4.0
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  task_categories:
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  - time-series-forecasting
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  tags:
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- - time
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- - multivariate
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- - forecasting
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- - univariate-time-series-forecasting
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- - multivariate-time-series-forecasting
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  pretty_name: Chaos Multivariate Time Series
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  size_categories:
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- - 100K<n<1M
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  ---
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  ### Chaotic Time Series Dataset
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  + Each multivariate time series is a drawn from one chaotic dynamical system over an extended duration, making this dataset suitable for long-horizon forecasting tasks.
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  + There are 4 million total multivariate observations, grouped into 135 systems and three granularities
@@ -35,5 +37,4 @@ For more information, or if using this code for published work, please cite the
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  ## Code
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- For executable code, or to simulate new trajectories, please see the [dysts repository on GitHub](https://github.com/williamgilpin/dysts)
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-
 
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  task_categories:
4
  - time-series-forecasting
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  tags:
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+ - time
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+ - multivariate
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+ - forecasting
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+ - univariate-time-series-forecasting
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+ - multivariate-time-series-forecasting
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  pretty_name: Chaos Multivariate Time Series
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  size_categories:
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+ - 1M<n<10M
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  ---
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  ### Chaotic Time Series Dataset
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+ Multivariate time series from chaotic dynamical systems.
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+
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  + Each multivariate time series is a drawn from one chaotic dynamical system over an extended duration, making this dataset suitable for long-horizon forecasting tasks.
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  + There are 4 million total multivariate observations, grouped into 135 systems and three granularities
 
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  ## Code
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+ For executable code, or to simulate new trajectories, please see the [dysts repository on GitHub](https://github.com/williamgilpin/dysts)