Update README.md

README.md

@@ -32,9 +32,9 @@ The estimated top 10% of highest n-token (mean 3,4,5) overlaps for each of the
 selected benchmark datasets (arc, truthful_qa, hellaswag, mmlu, humaneval) based 
 on 1k samples, within the first 3M samples of C4. The top scoring sample 
 datasets for each benchmark are then filtered again for top 30% scores and 
-combined and exact-match de-duplicated. Then the top 3% scores are removed
+combined and exact-match de-duplicated. ~~Then the top 3% scores are removed
 because they likely have exact large n-token matches by chance such as exact 
-dates or times that aren't actually relevant to the data.
+dates or times that aren't actually relevant to the data.~~ (todo)
 
 This is meant to fascilitate a high-quality short continuation of pretraining 
 for language models.