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README.md

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 # PromoterAtlas Dataset
 
-This repository contains the training data used for the PromoterAtlas model, a transformer-based deep learning model for bacterial regulatory sequence analysis.
-Dataset Description
+This repository contains the training data used for the PromoterAtlas model, a transformer-based deep learning model for bacterial regulatory sequence analysis.  
 
-Content: ~9 million regulatory sequences from over 3,000 gammaproteobacterial species. The sequences were extracted from GenBank files of gammaproteobacterial genomes.
-Format: HDF5 file (sequence_dataset.h5)
-Size: Approximately 2.3 GB
+### Dataset Description
+Content: ~9 million regulatory sequences from over 3,000 gammaproteobacterial species. The sequences were extracted from GenBank files of gammaproteobacterial genomes.  
+Format: HDF5 file (sequence_dataset.h5)  
+Size: Approximately 2.3 GB  
 
-Usage
+### Usage
 This dataset is primarily intended for training the PromoterAtlas-base model. For access to the different PromoterAtlas models and code, please visit: https://github.com/LucasCoppens/PromoterAtlas