Update README.md

README.md

@@ -11,7 +11,7 @@ If you want to support me, you can [here](https://ko-fi.com/adamcodd).
 
 ## Token Distribution Analysis
 
-We analyzed the token count distribution of the dataset using the LLAMA-3 tokenizer. This information is crucial for understanding the length of prompts and planning model training.
+We analyzed the token count distribution of the dataset using the LLAMA-3 tokenizer.
 
 ### Key Statistics
 - **Minimum tokens**: 164
@@ -37,7 +37,7 @@ We analyzed the token count distribution of the dataset using the LLAMA-3 tokeni
 
 ### Interpretation
 
-1. **Range**: The dataset contains prompts ranging from 164 to 3,285 tokens, indicating significant variation in prompt lengths.
+1. **Range**: The dataset contains prompts ranging from 164 to 3,285 tokens.
 
 2. **Central Tendency**: The median token count is 274, meaning half of the prompts have 274 tokens or fewer.