Update README.md

README.md

@@ -68,11 +68,34 @@ The dataset was used to assess the zero-shot capabilities of the ProkBERT models
 
 ## Dataset Creation
 
-The dataset is compiled from the RefSeq database and other sources, focusing on ESKAPE pathogens. Redundancy in sequences is reduced using the CD-HIT algorithm.
+The dataset is compiled from the RefSeq database and other sources, focusing on ESKAPE pathogens. The genomic features were sampled randomly, followed by contigous segmentation. The segment length is 256, shorter fragments were discarded. 
+
+
+## Overview of ESKAPE Pathogens
+
+ESKAPE pathogens are a group of bacteria that pose a significant threat to public health due to their high levels of antibiotic resistance. The acronym ESKAPE represents six genera of bacteria:
+
+- **Enterococcus faecium**
+- **Staphylococcus aureus**
+- **Klebsiella pneumoniae**
+- **Acinetobacter baumannii**
+- **Pseudomonas aeruginosa**
+- **Enterobacter species**
+
+These pathogens are known for "escaping" the effects of antibiotics and are responsible for a large proportion of nosocomial infections (hospital-acquired infections). They are particularly concerning in healthcare settings because they can lead to severe infections that are increasingly difficult to treat due to their resistance to multiple antibiotics.
+
+### Public Health Implications
+
+- **Resistance to Treatment**: ESKAPE pathogens often exhibit resistance to multiple classes of antibiotics, making infections difficult to treat and leading to higher morbidity and mortality rates.
+- **Hospital-Acquired Infections**: These pathogens are commonly associated with infections acquired in healthcare settings, including pneumonia, bloodstream infections, urinary tract infections, and surgical site infections.
+- **Evolving Threat**: The ability of these bacteria to rapidly evolve and acquire new resistance mechanisms poses a significant challenge for the development of effective treatments.
+
+
+
 
 ## Considerations for Using the Data
 
-This dataset is pivotal for genomic research and bioinformatics, particularly for understanding the genomic structure of ESKAPE pathogens and their representation in embedding spaces.
+This dataset is relevant for genomic research and bioinformatics, particularly for understanding the genomic structure of ESKAPE pathogens and their representation in embedding spaces.
 
 ## Additional Information