synthetic-dataset-generation

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

A framework for prompt tuning using Intent-based Prompt Calibration

Synthetic data curation for post-training and structured data extraction

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

Perception toolkit for sim2real training and validation in Unity

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

[ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data generation pipeline!

Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips

NVIDIA Deep learning Dataset Synthesizer (NDDS)

A curated list of awesome projects which use Machine Learning to generate synthetic content.

Compose multimodal datasets 🎹

Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes

SynthDet - An end-to-end object detection pipeline using synthetic data

[NeurIPS D&B Track 2024] Official implementation of HumanVid

A novel approach for synthesizing tabular data using pretrained large language models

Unity's privacy-preserving human-centric synthetic data generator

Random dataframe and database table generator

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

awesome synthetic (text) datasets

✨ A synthetic dataset generation framework that produces diverse coding questions and verifiable solutions - all in one framwork