> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.nvidia.com/nemo/datadesigner/latest/llms.txt. # Latest ## Docs - [🎨 NeMo Data Designer](https://docs.nvidia.com/nemo/datadesigner/latest/getting-started/welcome.md): - [🎨✨ Contributing to NeMo Data Designer 🎨✨](https://docs.nvidia.com/nemo/datadesigner/latest/getting-started/contributing.md): - [Columns](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/columns.md): - [Seed Datasets](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/seed-datasets.md): - [Agent Rollout Ingestion](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/agent-rollout-ingestion.md): - [Default Model Settings](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/models/default-model-settings.md): - [Configuring Model Settings Using The CLI](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/models/configure-with-the-cli.md): - [Custom Model Settings](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/models/custom-model-settings.md): - [Model Providers](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/models/model-providers.md): - [Model Configurations](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/models/model-configs.md): - [Inference Parameters](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/models/inference-parameters.md): - [Custom Columns](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/custom-columns.md): - [Validators](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/validators.md): - [Processors](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/processors.md): - [Workflow Chaining](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/workflow-chaining.md): - [Person Sampling in Data Designer](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/person-sampling.md): - [Message Traces](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/traces.md): - [Logging](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/logging.md): Configure Data Designer logging or integrate it with an application's logging setup. - [Tool Use & MCP](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/tool-use-mcp/overview.md): - [MCP Providers](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/tool-use-mcp/mcp-providers.md): - [Tool Configurations](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/tool-use-mcp/tool-configs.md): - [Enabling Tools on Columns](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/tool-use-mcp/enabling-tools.md): - [Configuring MCP Using the CLI](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/tool-use-mcp/cli-configuration.md): - [Safety and Limits](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/tool-use-mcp/safety-limits.md): - [🏗️ Architecture & Performance](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/architecture-performance.md): - [Deployment Options: Library vs. Microservice](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/deployment-options.md): - [Security](https://docs.nvidia.com/nemo/datadesigner/latest/concepts/security.md): - [Tutorials Overview](https://docs.nvidia.com/nemo/datadesigner/latest/tutorials/overview.md): Hands-on Jupyter notebooks for learning Data Designer. - [The Basics](https://docs.nvidia.com/nemo/datadesigner/latest/tutorials/the-basics.md): Declare columns, generate your first dataset. - [Structured Outputs, Jinja Expressions, and Conditional Generation](https://docs.nvidia.com/nemo/datadesigner/latest/tutorials/structured-outputs-jinja-expressions-and-conditional-generation.md): Schema-constrained outputs and dynamic prompts. - [Seeding with an External Dataset](https://docs.nvidia.com/nemo/datadesigner/latest/tutorials/seeding-with-an-external-dataset.md): Use existing data as input for generation. - [Providing Images as Context](https://docs.nvidia.com/nemo/datadesigner/latest/tutorials/providing-images-as-context.md): Multimodal prompts with image inputs and notes for audio/video-capable models. - [Generating Images](https://docs.nvidia.com/nemo/datadesigner/latest/tutorials/generating-images.md): Create image columns from text prompts. - [Image-to-Image Editing](https://docs.nvidia.com/nemo/datadesigner/latest/tutorials/image-to-image-editing.md): Edit images using image context. - [Use Case Recipes](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/recipe-cards.md): Self-contained code examples that demonstrate how to leverage Data Designer for specific use cases. - [Rich Document Image Generation](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/image-generation/rich-document-image-generation.md): Generate synthetic business-document page images with controlled visual variation for VQA, OCR, and multimodal evaluation workflows. - [Product Image Variations](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/image-generation/product-image-variations.md): Use image-to-image generation to create inclusive apparel catalog variants while preserving garment identity. - [Funny Pet Image Edits](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/image-generation/funny-pet-image-edits.md): Generate synthetic dog and cat photos, then use image-to-image generation to make the same pet scene funnier. - [Autonomous Vehicle Traffic Scenarios](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/image-generation/autonomous-vehicle-traffic-scenarios.md): Generate synthetic autonomous-vehicle ego-camera images with controlled road, weather, lighting, and long-tail hazard variation. - [Synthetic Extremity X-rays](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/image-generation/synthetic-extremity-x-rays.md): Generate research-only synthetic extremity X-ray style images with controlled anatomy, view, acquisition, and finding metadata. - [Airport Baggage Screening Scans](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/image-generation/airport-baggage-screening-scans.md): Generate defensive synthetic baggage-screening style images with controlled clutter, material mix, scanner style, and threat-type labels. - [Humanoid Robot Scene Understanding](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/image-generation/humanoid-robot-scene-understanding.md): Generate synthetic egocentric humanoid robot scenes with controlled environment, task, object, safety, viewpoint, lighting, and adult human-presence metadata. - [Crop Disease Detection Images](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/image-generation/crop-disease-detection-images.md): Generate synthetic crop disease detection images with controlled crop, growth stage, viewpoint, disease condition, severity, and field-condition metadata. - [Drone Aerial Inspection](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/image-generation/drone-aerial-inspection.md): Generate synthetic low-altitude drone inspection images with controlled site, target, altitude, camera angle, defect, severity, occlusion, and lighting metadata. - [Text to Python](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/code-generation/text-to-python.md): - [Text to SQL](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/code-generation/text-to-sql.md): - [Nemotron Super Text to SQL](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/code-generation/nemotron-super-text-to-sql.md): - [Markdown Section Seed Reader](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/plugin-development/markdown-section-seed-reader-plugin.md): - [Product Info QA](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/qa-and-chat/product-info-qa.md): - [Multi-Turn Chat](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/qa-and-chat/multi-turn-chat.md): - [Agent Rollout Trace Distillation](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/trace-ingestion/agent-rollout-trace-distillation.md): - [Document Review Gate](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/workflow-chaining/document-review-gate.md): - [Basic MCP Tool Use](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/mcp-and-tool-use/basic-mcp-tool-use.md): - [PDF Document QA](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/mcp-and-tool-use/pdf-document-qa.md): - [Nemotron Super Search Agent](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/mcp-and-tool-use/nemotron-super-search-agent.md): - [Chart Question Answering](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/chart-qa/chart-question-answering.md): Generate chart-grounded QA with balanced and difficulty-targeted prompt packs. - [Indic Document Translation](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/translation/indic-document-translation.md): Translate documents into any of the 22 scheduled Indic languages with LLM-judged quality scoring, self-correction, windowing, and script remapping. - [Seed Dataset Preparation](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/vlm-long-document-understanding/seed-dataset-preparation.md): - [Nemotron Parse OCR](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/vlm-long-document-understanding/nemotron-parse-ocr.md): - [Text QA from OCR Transcripts](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/vlm-long-document-understanding/text-qa-from-ocr-transcripts.md): - [Page Classification](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/vlm-long-document-understanding/page-classification.md): - [Visual QA](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/vlm-long-document-understanding/visual-qa.md): - [Single-Page QA](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/vlm-long-document-understanding/single-page-qa.md): - [Multi-Page Windowed QA](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/vlm-long-document-understanding/multi-page-windowed-qa.md): - [Whole-Document QA](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/vlm-long-document-understanding/whole-document-qa.md): - [Frontier Judge QA Filter](https://docs.nvidia.com/nemo/datadesigner/latest/recipes/vlm-long-document-understanding/frontier-judge-qa-filter.md): - [Data Designer Plugins](https://docs.nvidia.com/nemo/datadesigner/latest/plugins/overview.md): Extend Data Designer with custom column generators, seed readers, and processors. - [Example Plugin: Column Generator](https://docs.nvidia.com/nemo/datadesigner/latest/plugins/example-plugin.md): - [FileSystemSeedReader Plugins](https://docs.nvidia.com/nemo/datadesigner/latest/plugins/file-system-seed-reader-plugins.md): - [Discover Plugins](https://docs.nvidia.com/nemo/datadesigner/latest/plugins/discover.md): Discover and install Data Designer plugin packages from catalogs - [Dev Notes](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/overview.md): In-depth guides, tutorials, and insights about synthetic data generation with NeMo Data Designer. - [How we improved Nemotron’s chart understanding](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/chart-understanding.md): An iterative data-development story: diverse charts, useful questions, and reasoning grounded in visual evidence. - [Creating Data Similar to the Nemotron Indic Corpus: Pretraining Data Using Translations Across 22 Indian Languages](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/nemotron-indic-translation.md): A Data Designer plugin that translates, evaluates, and self-corrects text documents across all 22 constitutionally scheduled Indic languages. - [Pause, Inspect, Resume: Workflow Chaining as a Control Surface](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/pause-inspect-resume.md): - [Image Generation for Multimodal Data Pipelines](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/image-generation-for-multimodal-data-pipelines.md): From document VQA to autonomous-vehicle scenes, X-rays, drone frames, and funny pet edits — controlled image datasets you can inspect row by row. - [Designing Nemotron-Personas: Multi-Locale Synthetic Personas Powering Nemotron Training](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/designing-nemotron-personas.md): How the Nemotron-Personas HF collection is built with NeMo Data Designer, how it shows up across Nemotron post-training, and how to reproduce or customize the pipeline for your own use case. - [Mitigating Prompt Sensitivity: Manufacturing Robustness Through Diverse Preambles](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/prompt-sensitivity.md): - [Retriever SDG Plugin: Turn Your Documents Into Retriever Training Data](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/retriever-sdg-toolkit.md): A first-party Data Designer plugin package that turns documents into retriever training and BEIR evaluation data. - [Have It Your Way: Customizing Data Designer with Plugins](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/have-it-your-way.md): A plugin framework for the custom pieces every real project ends up needing. - [Training a VLM to Understand Long Documents: An Iterative SDG Story](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/vlm-long-document-understanding.md): - [Push Datasets to Hugging Face Hub](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/push-datasets-to-hugging-face-hub.md): - [Engineering an Enterprise-Grade Text-to-SQL Dataset with NeMo Data Designer](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/text-to-sql-for-nemotron-super.md): - [Async All the Way Down](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/async-all-the-way-down.md): - [Owning the Model Stack: Adaptive Concurrency FTW!](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/owning-the-model-stack.md): - [Data Designer Got Skills](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/data-designer-got-skills.md): - [Search Agent SFT Data: Teaching LLMs to Browse the Web](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/search-agent.md): - [Structured Outputs for Nemotron: Teaching Models to Produce Valid JSON, YAML, and XML](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/structured-outputs-from-nemotron.md): - [Deep Research Trajectories with NeMo Data Designer and MCP Tool Use](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/deep-research-trajectories.md): - [Designing Data Designer: Why SDG Is a Systems Problem](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/design-principles.md): - [Graduate-Level Science Reasoning Data with NeMo Data Designer](https://docs.nvidia.com/nemo/datadesigner/latest/dev-notes/rqa-dataset.md):