header, tab fixes

Signed-off-by: Lawrence Lane <[email protected]>

Author: lbliii

docs/curate-text/synthetic/index.md

@@ -112,7 +112,7 @@ Before using synthetic data generation, ensure you have:
 
 ---
 
-## Getting Started
+## Topics
 
 ::::{grid} 1 1 2 2
 :gutter: 2

docs/curate-text/synthetic/llm-client.md

@@ -166,9 +166,9 @@ The retry logic handles:
 
 ## Using Custom Endpoints
 
-````{tab-set}
+::::{tab-set}
 
-```{tab-item} Local vLLM Server
+:::{tab-item} Local vLLM Server
 
 Deploy a local vLLM server and configure the client:
 
@@ -189,9 +189,9 @@ client = AsyncOpenAIClient(
     timeout=300,  # Longer timeout for large models
 )
 ```
-```
+:::
 
-```{tab-item} Text Generation Inference (TGI)
+:::{tab-item} Text Generation Inference (TGI)
 
 Deploy a TGI server and configure the client:
 
@@ -210,9 +210,9 @@ client = AsyncOpenAIClient(
     max_concurrent_requests=8,
 )
 ```
-```
+:::
 
-```{tab-item} OpenAI API
+:::{tab-item} OpenAI API
 
 Use the official OpenAI API:
 
@@ -223,9 +223,9 @@ client = AsyncOpenAIClient(
     max_concurrent_requests=5,
 )
 ```
-```
+:::
 
-````
+::::
 
 ## Complete Example
 

docs/curate-text/synthetic/nemotron-cc/index.md

@@ -124,6 +124,10 @@ pipeline.add_stage(
 
 The recommended approach is to use the helper functions in `nemotron_cc_pipelines.py`:
 
+:::{note}
+The `nemotron_cc_pipelines` helper functions are provided in the [tutorials directory](https://github.com/NVIDIA-NeMo/Curator/blob/main/tutorials/synthetic/nemotron_cc/nemotron_cc_pipelines.py), not as part of the installed package. Copy this file to your project or reference the patterns when building custom pipelines.
+:::
+
 ```python
 from nemotron_cc_pipelines import (
     add_preprocessing_pipeline,

docs/index.md

@@ -223,6 +223,7 @@ curate-text/index.md
 Tutorials <curate-text/tutorials/index.md>
 Load Data <curate-text/load-data/index.md>
 Process Data <curate-text/process-data/index.md>
+Synthetic Data <curate-text/synthetic/index.md>
 ::::
 
 ::::{toctree}