Slight precision re. Basic SSO vs. Advanced SSO

docs/hub/billing.md

@@ -26,9 +26,10 @@ Private repository storage above the [included storage](./storage-limits) will b
 The PRO subscription unlocks essential features for serious users, including:
 
 - Higher [storage capacity](./storage-limits) for public and private repositories
+- Higher bandwidth and API rate limits
+- Included credits for [Inference Providers](/docs/inference-providers/)
 - Higher tier for ZeroGPU Spaces usage
 - Ability to create ZeroGPU Spaces and use Dev Mode
-- Included credits for [Inference Providers](/docs/inference-providers/)
 - Ability to publish Social Posts and Community Blogs
 - Leverage the Data Studio on private datasets
 - Run and schedule serverless [CPU/ GPU Jobs](https://huggingface.co/docs/huggingface_hub/en/guides/jobs)

docs/hub/enterprise-sso.md

@@ -6,7 +6,7 @@ This feature is part of the <a href="https://huggingface.co/enterprise">Team & E
 
 Single sign-on (SSO) allows organizations to securely manage user authentication through their own identity provider (IdP). Both SAML 2.0 and OpenID Connect (OIDC) protocols are supported.
 
-Please note that this feature is intended to manage access to organization-specific resources such as private models, datasets, and Spaces. However, it does not replace the core authentication mechanism for the Hugging Face platform, meaning that users still need to login with their own HF account. For enhanced capabilities like automated user provisioning (JIT/SCIM) and global SSO enforcement, see our [Advanced SSO documentation](./enterprise-hub-advanced-sso).
+Please note that this feature is intended to manage access to organization-specific resources such as private models, datasets, and Spaces. However, by default it does not replace the core authentication mechanism for the Hugging Face platform, meaning that users still need to login with their own HF account. To replace the core authentication, i.e. for enhanced capabilities like automated user provisioning (JIT/SCIM) and global SSO enforcement, see our [Advanced SSO documentation](./enterprise-hub-advanced-sso).
 
 <div class="flex justify-center" style="max-width: 550px">
   <img

docs/hub/index.md

@@ -129,15 +129,15 @@ To upload models to the Hub, or download models and integrate them into your wor
 
 ## Datasets
 
-The Hub is home to over 400k datasets in more than 8k languages that can be used for a broad range of tasks across NLP, Computer Vision, and Audio. The Hub makes it simple to find, download, and upload datasets. Datasets are accompanied by extensive documentation in the form of [**Dataset Cards**](./datasets-cards) and [**Dataset Viewer**](./datasets-viewer) to let you explore the data directly in your browser. While many datasets are public, [**organizations**](./organizations) and individuals can create private datasets to comply with licensing or privacy issues. You can learn more about [**Datasets here on Hugging Face Hub documentation**](./datasets-overview).
+The Hub is home to over 500k public datasets in more than 8k languages that can be used for a broad range of tasks across NLP, Computer Vision, and Audio. The Hub makes it simple to find, download, and upload datasets. Datasets are accompanied by extensive documentation in the form of [**Dataset Cards**](./datasets-cards) and [**Data Studio**](./datasets-viewer) to let you explore the data directly in your browser. While many datasets are public, [**organizations**](./organizations) and individuals can create private datasets to comply with licensing or privacy issues. You can learn more about [**Datasets here on the Hugging Face Hub documentation**](./datasets-overview).
 
 The [🤗 `datasets`](https://huggingface.co/docs/datasets/index) library allows you to programmatically interact with the datasets, so you can easily use datasets from the Hub in your projects. With a single line of code, you can access the datasets; even if they are so large they don't fit in your computer, you can use streaming to efficiently access the data.
 
 ## Spaces
 
 [Spaces](https://huggingface.co/spaces) is a simple way to host ML demo apps on the Hub. They allow you to build your ML portfolio, showcase your projects at conferences or to stakeholders, and work collaboratively with other people in the ML ecosystem.
 
-We currently support two awesome Python SDKs (**[Gradio](https://gradio.app/)** and **[Streamlit](https://streamlit.io/)**) that let you build cool apps in a matter of minutes. Users can also create static Spaces, which are simple HTML/CSS/JavaScript pages, or deploy any Docker-based application.
+We currently support two awesome Python SDKs (**[Gradio](https://gradio.app/)** and **[Streamlit](./spaces-sdks-streamlit)**) that let you build cool apps in a matter of minutes. Users can also create static Spaces, which are simple HTML/CSS/JavaScript pages, or deploy any Docker-based application.
 
 After you've explored a few Spaces (take a look at our [Space of the Week!](https://huggingface.co/spaces)), dive into the [**Spaces documentation**](./spaces-overview) to learn all about how you can create your own Space. You'll also be able to upgrade your Space to run on a GPU or other accelerated hardware. ⚡️
 

docs/hub/pro.md

@@ -3,11 +3,12 @@
 The PRO subscription unlocks essential features for serious users, including:
 
 - Higher [storage capacity](./storage-limits) for public and private repositories
+- Higher bandwidth and API rate limits
+- Included credits for [Inference Providers](/docs/inference-providers/)
 - Higher tier for [ZeroGPU Spaces](./spaces-zerogpu) usage
 - Ability to create ZeroGPU Spaces and use [Dev Mode](./spaces-dev-mode)
-- Included credits for [Inference Providers](/docs/inference-providers/)
 - Ability to publish Social Posts and Community Blogs
 - Leverage the Data Studio on private datasets
-- Run and schedule serverless [CPU/ GPU Jobs](https://huggingface.co/docs/huggingface_hub/en/guides/jobs) 
+- Run and schedule serverless [CPU/ GPU Jobs](https://huggingface.co/docs/huggingface_hub/en/guides/jobs)
 
 View the full list of benefits at **https://huggingface.co/pro** then subscribe over at https://huggingface.co/subscribe/pro