Create datasets with FAQs and SFT prompts
Upload files to a Hugging Face repository
Organize and process datasets for AI models
Evaluate evaluators in Grounded Question Answering
Create a domain-specific dataset seed
Organize and invoke AI models with Flow visualization
Manage and label data for machine learning projects
Validate JSONL format for fine-tuning
Generate dataset for machine learning
Search for Hugging Face Hub models
Build datasets using natural language
Annotation Tool
Data annotation for Sparky
Distilabel Dataset Generator is a specialized tool designed for efficient dataset creation. It streamlines the process of generating high-quality datasets, particularly for tasks involving FAQs and Step-By-Step (SFT) prompts. This tool is tailored for users needing structured data for training AI models, ensuring consistency and relevance in the data generated.
What is the purpose of Distilabel Dataset Generator?
The tool is designed to simplify and accelerate the creation of structured datasets for AI training, particularly for FAQs and step-by-step tasks.
Can I customize the output format?
Yes, the tool allows users to define custom formats and content to meet specific needs.
Is the generated data suitable for immediate use in AI models?
Yes, the datasets generated are high-quality and ready for use in training AI models.