Update README.md

README.md

@@ -40,7 +40,7 @@ Web datasets are inherently noisy and varied. The TxT360 pipeline implements sop
 
 Curated datasets are typically structured and consistently formatted, but also can cause troubles with their own special formatting preferences. TxT360 filters these sources with selective steps to maintain their integrity while providing seamless integration into the larger dataset. Both data source types are globally deduplicated together resulting in ~5T tokens of high-quality data. The table below shows the source distribution of TxT360 tokens. 
 
-We further highlight the importance of mixing the datasets together with the right blend. The raw distribution of the deduplicated dataset is actually suboptimal, a simple working recipe is provided in the studies section.
+We further highlight the importance of mixing the datasets together with the right blend. The raw distribution of the deduplicated dataset is actually suboptimal, a simple working recipe is provided in the studies section. This recipe will create a dataset of 15T+ tokens, the largest high quality open source pre-training dataset.
 
 | Data Source     | Raw Data Size | Token Count | Information Cut-Off Date |
 |-----------------|---------------|-------------|--------------------------|