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Update README.md

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@@ -52,3 +52,6 @@ These can be downsampled to produce samples with varying timescales \\(\Delta t\
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  - Navier-Stokes
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  - 1024/256 samples, each sample of shape [800, 64, 64] (num_timesteps, num_grid_x, num_grid_y)
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  - Coefficients are constant. Resolution is very high to test high-resolution training.
 
 
 
 
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  - Navier-Stokes
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  - 1024/256 samples, each sample of shape [800, 64, 64] (num_timesteps, num_grid_x, num_grid_y)
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  - Coefficients are constant. Resolution is very high to test high-resolution training.
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+ - Kolmogorov Flow
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+ - 1024/256 samples, each sample of shape [200, 160, 160] (num_timesteps, num_grid_x, num_grid_y)
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+ - Coefficients are constant.