Update README.md

README.md

@@ -31,6 +31,8 @@ configs:
 
 # 🧬 Carbon Pretraining Corpus
 
+## Description
+
 > **~127M DNA & RNA sequences · 1 trillion nucleotides** — the DNA pretraining mixture used to train [Carbon](https://github.com/hf-carbon/carbon), a genomic foundation model.
 
 This dataset is a collection of data sources intended for training genomic foundation models, such as Carbon. It contains DNA and RNA sequences spanning eukaryote and prokaryote species.
@@ -45,9 +47,7 @@ And has almost 1T DNA base pairs (160B tokens with Carbon's 6-mer tokenizer).
 
 Nucleotides are counted in base pairs (Gbp = billion nucleotides). 
 
-## What is this?
-
-**Quick biology primer**
+## Quick biology primer
 
 DNA is the molecule that stores genetic information in all living things. It is a sequence of four letters — **A, T, G, C** — and a genome can be anywhere from thousands to billions of these letters long. Training a language model on DNA means treating those letters like tokens and learning the statistical patterns of life.
 
@@ -87,7 +87,7 @@ for example in ds.take(3):
 ```
 
 
-## Subset Details
+## Dataset composition
 
 ### 1. `eukaryote_generator` — Eukaryote Genomes