Create datasets with FAQs and SFT prompts
Browse and view Hugging Face datasets
Find and view synthetic data pipelines on Hugging Face
Save user inputs to datasets on Hugging Face
Organize and process datasets using AI
Review and rate queries
Count tokens in datasets and plot distribution
Manage and label datasets for your projects
Generate synthetic datasets for AI training
Browse TheBloke models' history
Build datasets using natural language
Convert PDFs to a dataset and upload to Hugging Face
Organize and process datasets using AI
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.