Update README.md

README.md

@@ -136,7 +136,7 @@ Figure 20 shows the average eval score on high-signal tasks as well as extended
 
 **Conclusion and Future Work**
 
-This blog presents GneissWeb dataset produced by IBM Research using an internal version of IBM DataPrep Kit. GneissWeb consists of 96 common-crawl snapshots outperforming some state-of-the-art datasets of comparative size. We continue to perform further data ablation experiments and plan to opensource the recipe via IBM DataPrep Kit. We are currently processing the latest 7 snapshots that we aim to include in GneissWeb after conducting further evaluations and verifications.  
+IBM Research has produced a dataset called GneissWeb using an internal version of IBM DataPrep Kit. GneissWeb consists of 96 common-crawl snapshots outperforming some state-of-the-art datasets of comparative size. We continue to perform further data ablation experiments and plan to opensource the recipe via IBM DataPrep Kit. We are currently processing the latest 7 snapshots that we aim to include in GneissWeb after conducting further evaluations and verifications.  
 
 
 **Dataset Summary**