Update README.md

README.md

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 The `nucleotide_transformer_downstream_tasks` dataset features the 18 downstream tasks presented in the [Nucleotide Transformer paper](https://www.biorxiv.org/content/10.1101/2023.01.11.523679v3). They consist of both binary and multi-class classification tasks that aim at providing a consistent genomics benchmark.
 
 **We note that this is an updated version of this benchmark after the paper has been through peer-review. We highly encourage to move to this version in detriment of the [older version](https://huggingface.co/datasets/InstaDeepAI/nucleotide_transformer_downstream_tasks).**  
-Keypoints about the updated datasets: (1) it maintains similar tasks, number of classes and train and test set sizes as the previous benchmark; (2) all the data is now from human samples and from recent and high-quality datasets (see descriptions of each dataset source below); (3) randomly generated negative samples have been replaced by existing chunks of genomes not containing the respective elements; and (4) all datasets have now proper chromosome held-out test sets.
+Keypoints about the updated datasets: 
+  1. It maintains similar tasks, number of classes and train and test set sizes as the previous benchmark;
+  2. All the data is now from human samples and from recent and high-quality datasets (see descriptions of each dataset source below); 
+  3. Randomly generated negative samples have been replaced by existing chunks of genomes not containing the respective elements;
+  4. All datasets have now proper chromosome held-out test sets.
 
 ## Dataset Description