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Hugging Face Synthetic Data Generator
A Hugging Face introduction to generating synthetic datasets with language models.
https://huggingface.co/blog/synthetic-data-generator
About This Resource
A Hugging Face introduction to generating synthetic datasets with language models. It describes a workflow for producing and refining examples that can support model training or evaluation.
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Introducing the Synthetic Data Generator - Build Datasets with Natural Language
GitHub - argilla-io/synthetic-data-generator: Build datasets using natural language
Introduction
Synthetic Data Generator is a tool that allows you to create high-quality datasets for training and fine-tuning language models. It leverages the power of distilabel and LLMs to generate synthetic data tailored to your specific needs. The announcement blog goes over a practical example of how to use it.
Supported Tasks
- Text Classification
- Chat Data for Supervised Fine-Tuning
Key Features
This tool simplifies the process of creating custom datasets, enabling you to:
- Describe the characteristics of your desired application
- Iterate on sample datasets
- Produce full-scale datasets
- Push your datasets to the Hugging Face Hub and/or Argilla
By using the Synthetic Data Generator, you can rapidly prototype and create datasets for, accelerating your AI development process.