HowieHwong/DataGen
[ICLR'25] DataGen: Unified Synthetic Dataset Generation via Large Language Models
This tool helps researchers, data scientists, and AI developers create new, high-quality text datasets for training language models or evaluating their performance. You provide an existing dataset description and configuration, and it generates diverse, accurate, and customized synthetic text data. This is ideal for anyone needing to expand or create specialized text datasets without the expense and time of manual data collection.
No commits in the last 6 months.
Use this if you need to generate diverse, accurate, and highly controllable synthetic text datasets to train or evaluate large language models, especially when real-world data is scarce or costly to obtain.
Not ideal if you need to generate non-textual data like images or numerical tables, or if your primary goal is simple data augmentation without advanced control over diversity, accuracy, or specific constraints.
Stars
66
Forks
4
Language
Python
License
—
Category
Last pushed
Mar 08, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/HowieHwong/DataGen"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
sdv-dev/SDV
Synthetic data generation for tabular data
sdv-dev/SDGym
Benchmarking synthetic data generation methods.
NVIDIA-NeMo/DataDesigner
🎨 NeMo Data Designer: A general library for generating high-quality synthetic data from scratch...
AlexanderVNikitin/tsgm
Generation and evaluation of synthetic time series datasets (also, augmentations,...
mostly-ai/mostlyai
Synthetic Data SDK ✨