Update README.md

README.md

@@ -19,14 +19,18 @@ pinned: false
 
 *For more details, expand below!*
 
+## Introduction to the OSAID
+
 As the field of AI advances, it's becoming increasingly important to understand what "Open Source" means in the context of artificial intelligence.
 While Open Source software has long had established standards, AI models and datasets bring new challenges around transparency, accessibility and collaboration.
 
 To address this, the Open Source Initiative (OSI) has been developing an **Open Source AI Definition** (OSAID) which will outline the criteria that AI components—such as models,
 datasets and code—must meet to be considered Open Source.
 
+## Co-designing the Open Source AI Definition v1.0
+
 <details>
-  <summary><h2>Co-designing the Open Source AI Definition v1.0</h2></summary>
+  <summary>Click to expand!</summary>
   <p>
     Understanding that AI impacts a global community with diverse perspectives, we embarked on the quest to define Open Source AI by adopting a co-design methodology—a 
     participatory approach that shares knowledge and power among all stakeholders. This method allows us to integrate diverging viewpoints into a cohesive and consensual 
@@ -40,18 +44,33 @@ datasets and code—must meet to be considered Open Source.
 
 ## Open Source AI in practice at Hugging Face
 
-To support the Open Source AI Definition, we need to see how it will be operationalized in practice by the people building and using Open Source AI systems.
-What Open Source licenses and legal frameworks are favored for sharing model weights? How is training data re-used and documented?
-Given the role of the Hugging Face platform in showcasing those decisions, we invite the community to use this resource to share that information and discuss
-new related questions as they come up; so we can keep building up Open Source AI with a shared vocabulary and understanding. 
+<details>
+  <summary>Click to expand!</summary>
+  <p>
+    To support the Open Source AI Definition, we need to see how it will be operationalized in practice by the people building and using Open Source AI systems.
+    What Open Source licenses and legal frameworks are favored for sharing model weights? How is training data re-used and documented?
+  </p>
+  <p>
+    Given the role of the Hugging Face platform in showcasing those decisions, we invite the community to use this resource to share that information and discuss
+    new related questions as they come up; so we can keep building up Open Source AI with a shared vocabulary and understanding. 
+  </p>
+</details>
+
 
 ## What is the purpose of the Open Source AI Definition (OSAID)?
 
-The OSAID outlines the core freedoms that should apply to AI systems to be considered truly Open Source. These include the right to:
-- **Use** the system for any purpose and without having to ask for permission.
-- **Study** how the system works and inspect its components.
-- **Modify** the system for any purpose, including to change its output.
-- **Share** the system for others to use with or without modifications, for any purpose.
+<details>
+  <summary>Click to expand!</summary>
+  <p>
+    The OSAID outlines the core freedoms that should apply to AI systems to be considered truly Open Source. These include the right to:
+  </p>
+  <ul>
+    <li><strong>Use</strong> the system for any purpose and without having to ask for permission.</li>
+    <li><strong>Study</strong> how the system works and inspect its components.</li>
+    <li><strong>Modify</strong> the system for any purpose, including to change its output.</li>
+    <li><strong>Share</strong> the system for others to use with or without modifications, for any purpose.</li>
+  </ul>
+</details>
 
 ## What are the benefits of Open Source AI?
 Open Source AI offers significant benefits, including enhanced transparency and safety by enabling system audits, mitigating bias, and ensuring accountability