Nice numbers, and sync dataset count with ## Datasets section (#1973)

Author: pcuenca

docs/hub/index.md

@@ -1,6 +1,6 @@
 # Hugging Face Hub documentation
 
-The Hugging Face Hub is a platform with over 1.7M models, 400k datasets, and 600k demo apps (Spaces), all open source and publicly available, in an online platform where people can easily collaborate and build ML together. The Hub works as a central place where anyone can explore, experiment, collaborate, and build technology with Machine Learning. Are you ready to join the path towards open source Machine Learning? 🤗
+The Hugging Face Hub is a platform with over 2M models, 500k datasets, and 1M demo apps (Spaces), all open source and publicly available, in an online platform where people can easily collaborate and build ML together. The Hub works as a central place where anyone can explore, experiment, collaborate, and build technology with Machine Learning. Are you ready to join the path towards open source Machine Learning? 🤗
 
 <div class="grid grid-cols-1 gap-4 sm:grid-cols-2 lg:grid-cols-3 md:mt-10">
 
@@ -105,7 +105,7 @@ The Hugging Face Hub is a platform with over 1.7M models, 400k datasets, and 600
 
 We are helping the community work together towards the goal of advancing Machine Learning 🔥.
 
-The Hugging Face Hub is a platform with over 1.7M models, 400k datasets, and 600k demos in which people can easily collaborate in their ML workflows. The Hub works as a central place where anyone can share, explore, discover, and experiment with open-source Machine Learning.
+The Hugging Face Hub is a platform with over 2M models, 500k datasets, and 1M demos in which people can easily collaborate in their ML workflows. The Hub works as a central place where anyone can share, explore, discover, and experiment with open-source Machine Learning.
 
 No single company, including the Tech Titans, will be able to “solve AI” by themselves – the only way we'll achieve this is by sharing knowledge and resources in a community-centric approach. We are building the largest open-source collection of models, datasets, and demos on the Hugging Face Hub to democratize and advance ML for everyone 🚀.