easy-dataset
FreeA powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval
About easy-dataset
Easy Dataset is an open-source tool for creating high-quality datasets for LLM fine-tuning, RAG, and evaluation. It addresses common challenges such as poor AI-generated QA pairs from large documents, context window limitations, duplicate questions, and the need for structured dataset management. The tool offers a full pipeline from document parsing to dataset construction, annotation, export, and evaluation. It features a project-based workflow, intelligent document chunking (chapter-aware recursive splitting), AI-assisted domain label generation, batch question and answer generation with COT support, quality check mechanisms, and multi-format export (Alpaca, ShareGPT). It also integrates a dataset plaza aggregating sources like HuggingFace and Kaggle.
Key Features
Pros & Cons
- Tackles common dataset creation pain points like chunking and duplicate questions
- Supports both API-based and local models for flexible deployment
- Automates domain label generation to reduce manual effort
- Enables batch generation with resume capability for large scale tasks
- Integrates multiple data sources via dataset plaza
- User interface and documentation currently in Chinese only
- Requires technical setup for local model integration (Ollama)
- May have a learning curve for non-technical users unfamiliar with dataset pipelines
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