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‎nemo/NeMo-Data-Designer/README.md‎

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@@ -15,63 +15,21 @@ This directory contains the tutorial notebooks for getting started with NeMo Dat
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### 🎯 Advanced Tutorials
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#### 🧑‍🤝‍🧑 Person Samplers
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| Notebook | Description |
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|---------------------------------------------------|----------------------------------------------------------------------------------|
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| [person-sampler-tutorial.ipynb](./advanced/person-samplers/person-sampler-tutorial.ipynb) | Master the Person Sampler to generate realistic personal information |
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#### 🏥 Healthcare Datasets
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| Notebook | Description |
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|---------------------------------------------------|----------------------------------------------------------------------------------|
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| [clinical-trials.ipynb](./advanced/healthcare-datasets/clinical-trials.ipynb) | Build synthetic clinical trial datasets with realistic PII for testing data protection |
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| [insurance-claims.ipynb](./advanced/healthcare-datasets/insurance-claims.ipynb) | Create synthetic insurance claims datasets with realistic claim data and processing information |
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| [physician-notes-with-realistic-personal-details.ipynb](./advanced/healthcare-datasets/physician-notes-with-realistic-personal-details.ipynb) | Generate realistic patient data and physician notes with embedded personal information |
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#### 🧾 Forms & Documents
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| Notebook | Description |
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|---------------------------------------------------|----------------------------------------------------------------------------------|
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| [w2-dataset.ipynb](./advanced/forms/w2-dataset.ipynb) | Generate synthetic W-2 tax form datasets with realistic employee and employer information |
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#### 💬 Conversational AI
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| Notebook | Description |
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|---------------------------------------------------|----------------------------------------------------------------------------------|
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| [multi-turn-conversation.ipynb](./advanced/multi-turn-chat/multi-turn-conversation.ipynb) | Build synthetic conversational data with realistic person details and multi-turn dialogues |
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#### 🖼️ Multimodal
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| Notebook | Description |
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|---------------------------------------------------|----------------------------------------------------------------------------------|
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| [visual-question-answering-using-vlm.ipynb](./advanced/multimodal/visual-question-answering-using-vlm.ipynb) | Create visual question answering datasets using Vision Language Models |
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#### ❓ Q&A Generation
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| Notebook | Description |
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|---------------------------------------------------|----------------------------------------------------------------------------------|
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| [product-question-answer-generator.ipynb](./advanced/qa-generation/product-question-answer-generator.ipynb) | Build product information datasets with corresponding questions and answers |
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#### 🔍 RAG & Retrieval
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| Notebook | Description |
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|---------------------------------------------------|----------------------------------------------------------------------------------|
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| [generate-rag-evaluation-dataset.ipynb](./advanced/rag-examples/generate-rag-evaluation-dataset.ipynb) | Generate diverse RAG evaluation datasets for testing retrieval-augmented generation systems |
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#### 🧠 Reasoning
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| Notebook | Description |
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| [reasoning-traces.ipynb](./advanced/reasoning/reasoning-traces.ipynb) | Build synthetic reasoning traces to demonstrate step-by-step problem-solving processes |
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#### 💻 Text-to-Code
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| Notebook | Description |
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| [text-to-python.ipynb](./advanced/text-to-code/text-to-python.ipynb) | Generate Python code from natural language instructions with validation and evaluation |
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| [text-to-python-evol.ipynb](./advanced/text-to-code/text-to-python-evol.ipynb) | Build advanced Python code generation with evolutionary improvements and iterative refinement |
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| [text-to-sql.ipynb](./advanced/text-to-code/text-to-sql.ipynb) | Create SQL queries from natural language descriptions with validation and testing |
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| Notebook | Domain | Description |
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|---------------------------------------------------|---------------------|-----------------------------------------------------------------|
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| [person-sampler-tutorial.ipynb](./advanced/person-samplers/person-sampler-tutorial.ipynb) | Persona Samplers | Generate realistic personas using the person sampler |
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| [clinical-trials.ipynb](./advanced/healthcare-datasets/clinical-trials.ipynb) | Healthcare | Build synthetic clinical trial datasets with realistic PII for testing data protection |
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| [insurance-claims.ipynb](./advanced/healthcare-datasets/insurance-claims.ipynb) | Healthcare | Create synthetic insurance claims datasets with realistic claim data and processing information |
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| [physician-notes-with-realistic-personal-details.ipynb](./advanced/healthcare-datasets/physician-notes-with-realistic-personal-details.ipynb) | Healthcare | Generate realistic patient data and physician notes with embedded personal information |
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| [w2-dataset.ipynb](./advanced/forms/w2-dataset.ipynb) | Forms & Documents | Generate synthetic W-2 tax form datasets with realistic employee and employer information |
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| [multi-turn-conversation.ipynb](./advanced/multi-turn-chat/multi-turn-conversation.ipynb) | Conversational AI | Build synthetic conversational data with realistic person details and multi-turn dialogues |
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| [visual-question-answering-using-vlm.ipynb](./advanced/multimodal/visual-question-answering-using-vlm.ipynb) | Multimodal | Create visual question answering datasets using Vision Language Models |
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| [product-question-answer-generator.ipynb](./advanced/qa-generation/product-question-answer-generator.ipynb) | Q&A Generation | Build product information datasets with corresponding questions and answers |
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| [generate-rag-evaluation-dataset.ipynb](./advanced/rag-examples/generate-rag-evaluation-dataset.ipynb) | RAG & Retrieval | Generate diverse RAG evaluation datasets for testing retrieval-augmented generation systems |
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| [reasoning-traces.ipynb](./advanced/reasoning/reasoning-traces.ipynb) | Reasoning | Build synthetic reasoning traces to demonstrate step-by-step problem-solving processes |
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| [text-to-python.ipynb](./advanced/text-to-code/text-to-python.ipynb) | Text-to-Code | Generate Python code from natural language instructions with validation and evaluation |
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| [text-to-python-evol.ipynb](./advanced/text-to-code/text-to-python-evol.ipynb) | Text-to-Code | Build advanced Python code generation with evolutionary improvements and iterative refinement |
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| [text-to-sql.ipynb](./advanced/text-to-code/text-to-sql.ipynb) | Text-to-Code | Create SQL queries from natural language descriptions with validation and testing |
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## 🚀 Deploying the NeMo Data Designer Microservice
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