Updated Python SDK docs

sdk-api/python/reference/collaborator.mdx

@@ -17,7 +17,6 @@ method which returns a new Collaborator instance. To remove access, use remove()
 
 **Examples**
 
-```python
 # Get collaborators for a project
 project = Project.get(name="My Project")
 collaborators = project.collaborators
@@ -39,7 +38,6 @@ updated_collab = collab.update(role=CollaboratorRole.EDITOR)
 
 # Remove a collaborator
 collab.remove()
-```
 
 ### created_at
 
@@ -114,11 +112,9 @@ the collaborator object should no longer be used.
 
 **Examples**
 
-```python
 # Remove a collaborator
 collab = project.collaborators[0]
 collab.remove()
-```
 
 ### role
 

sdk-api/python/reference/dataset.mdx

@@ -14,7 +14,6 @@ integration with dataset content management.
 
 **Examples**
 
-```python
 # Create a new dataset locally, then persist
 dataset = Dataset(
     name="ml-knowledge-evaluation_3",
@@ -44,7 +43,6 @@ versions = dataset.get_versions()
 
 # Delete dataset
 dataset.delete()
-```
 
 ### add_rows
 
@@ -70,10 +68,8 @@ Persist this dataset to the API.
 
 **Examples**
 
-```python
 dataset = Dataset(name="test", content=[...]).create()
 assert dataset.is_synced()
-```
 
 ### delete
 
@@ -85,10 +81,8 @@ Delete this dataset.
 
 **Examples**
 
-```python
 dataset = Dataset.get(name="my-dataset")
 dataset.delete()
-```
 
 ### extend
 
@@ -161,10 +155,8 @@ Get the content of this dataset.
 
 **Examples**
 
-```python
 dataset = Dataset.get(name="my-dataset")
 content = dataset.get_content()
-```
 
 ### get_version_content
 
@@ -188,12 +180,10 @@ Get a list of versions for this dataset.
 
 **Examples**
 
-```python
 dataset = Dataset.get(name="my-dataset")
 versions = dataset.get_versions()
 for v in versions.versions:
     print(v.version_index, v.num_rows)
-```
 
 ### list
 
@@ -226,10 +216,8 @@ and sets the state to SYNCED.
 
 **Examples**
 
-```python
 dataset.refresh()
 assert dataset.is_synced()
-```
 
 ### save
 
@@ -245,9 +233,7 @@ no-op. Raises ValueError for DELETED or FAILED_SYNC states.
 
 **Examples**
 
-```python
 dataset = Dataset.get(name="my-dataset")
 dataset.name = "renamed-dataset"
 dataset.save()
 assert dataset.is_synced()
-```