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@@ -52,9 +52,10 @@ Both parts are described further below in more details.
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  In total, the dataset comprises **10,404 samples** and **900,449 features** (DNA methylation sites) coming from 65 separate studies
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  (some features are missing in some files). It is common for biological (omics) datasets to have N << P, so we had to put samples as columns and features as rows
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  in order to save the dataset in the parquet format. We recommend transposing data upon loading in order to match with meta rows,
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- as mentioned further below in the Usage Guidelines section.
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- Its main purpose is to be used in aging clock benchmarking (for more details on that, again, proceed to the Usage Guidelines section and don’t hesitate to visit
 
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  [our paper]()). Nevertheless, you are free to use it for any other well-minded purpose you find suitable.
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  ## Data description
 
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  In total, the dataset comprises **10,404 samples** and **900,449 features** (DNA methylation sites) coming from 65 separate studies
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  (some features are missing in some files). It is common for biological (omics) datasets to have N << P, so we had to put samples as columns and features as rows
54
  in order to save the dataset in the parquet format. We recommend transposing data upon loading in order to match with meta rows,
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+ as mentioned further below in the [Usage Guidelines](https://huggingface.co/datasets/computage/computage_bench#usage-guidelines) section.
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+ Its main purpose is to be used in aging clock benchmarking (for more details on that, again, proceed to the
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+ [Usage Guidelines](https://huggingface.co/datasets/computage/computage_bench#usage-guidelines) and don’t hesitate to visit
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  [our paper]()). Nevertheless, you are free to use it for any other well-minded purpose you find suitable.
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  ## Data description