Update README.md

README.md

@@ -14,7 +14,17 @@ pretty_name: Human Reference Genome
 
 ### Dataset Summary
 
-The Multi-species dataset was constructed by parsing the genomes available on [NCBI](https://www.ncbi.nlm.nih.gov/), before arbitrarily selecting only one species from each genus. Plant and virus genomes were not taken into account, as their regulatory elements differ from those of interest in the paper's tasks. The resulting collection of genomes was downsampled to a total of 850 species, in which several genomes that are heavily studied in the literature have been incorporated. The collection represents 174B nucleotides, resulting in roughly 29B tokens.
+The Multi-species dataset was constructed by parsing the genomes available on [NCBI](https://www.ncbi.nlm.nih.gov/), before arbitrarily selecting only one species from each genus. Plant and virus genomes were not taken into account, as their regulatory elements differ from those of interest in the paper's tasks. The resulting collection of genomes was downsampled to a total of 850 species, in which several genomes that are heavily studied in the literature have been incorporated. The collection represents 174B nucleotides, resulting in roughly 29B tokens. The distribution of each genomics class in the dataset is displayed below:
+
+
+| Class                | Number of species  | Number of nucleotides (B) |
+| ---------------------| -------------------| --------------------------|
+| Bacteria             | 667                | 17.1                      |
+| Fungi                | 46                 | 2.3                       |
+| Invertebrate         | 39                 | 20.8                      |
+| Protozoa             | 10                 | 0.5                       |
+| Mammalian Vertebrate | 31                 | 69.8                      |
+| Other Vertebrate     | 57                 | 63.4                      |
 
 ### Supported Tasks and Leaderboards
 
@@ -50,7 +60,7 @@ For each instance, there is a string representing the sequence, a string indicat
 
 ### Data Splits
 
-The Multi-species dataset has 3 splits: train, validation, and test.                                              
+The Multi-species dataset has 3 splits: train, validation, and test.                                              |
 
 ## Dataset Creation