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@@ -141,11 +141,10 @@ then, from within python load the datasets library
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  and load one of the `AttentiveSkin` datasets, e.g.,
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  >>> Corr_Neg = datasets.load_dataset("maomlab/AttentiveSkin", name = 'Corr_Neg')
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  and inspecting the loaded dataset
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  })
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  ### Use a dataset to train a model
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  One way to use the dataset is through the [MolFlux](https://exscientia.github.io/molflux/) package developed by Exscientia.
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  First, from the command line, install `MolFlux` library with `catboost` and `rdkit` support
 
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  and load one of the `AttentiveSkin` datasets, e.g.,
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  >>> Corr_Neg = datasets.load_dataset("maomlab/AttentiveSkin", name = 'Corr_Neg')
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+ Generating test split: 100%|██████████| 181/181 [00:00<00:00, 3189.72examples/s]
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  and inspecting the loaded dataset
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  })
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  ### Use a dataset to train a model
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  One way to use the dataset is through the [MolFlux](https://exscientia.github.io/molflux/) package developed by Exscientia.
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  First, from the command line, install `MolFlux` library with `catboost` and `rdkit` support