Create README.md

README.md

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+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
+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.
+
+This is meant to fascilitate a high-quality short continuation of pretraining 
+for language models.