Build datasets using natural language
Speech Corpus Creation Tool
Create datasets with FAQs and SFT prompts
Upload files to a Hugging Face repository
Organize and process datasets using AI
Create a domain-specific dataset project
Find and view synthetic data pipelines on Hugging Face
Create and manage AI datasets for training models
Organize and process datasets using AI
Label data efficiently with ease
Upload files to a Hugging Face repository
Search for Hugging Face Hub models
A Synthetic Data Generator is a powerful tool designed to build datasets using natural language. It enables users to generate synthetic datasets for training machine learning models, addressing data scarcity and privacy concerns by creating realistic, artificial data tailored to specific needs.
What types of data can I generate with Synthetic Data Generator?
You can generate text, images, tabular data, and more, depending on your specified requirements.
Is the generated data realistic enough for training models?
Yes, the synthetic data is designed to be highly realistic and suitable for training machine learning models effectively.
Can I customize the data to fit my specific needs?
Absolutely. You can define formats, schemas, and patterns to ensure the data aligns with your use case.