Project Title
easy-dataset — A powerful tool for creating fine-tuning datasets for Large Language Models
Overview
Easy Dataset is a JavaScript-based application designed to streamline the creation of fine-tuning datasets for Large Language Models (LLMs). It offers an intuitive interface for uploading domain-specific files, intelligently splitting content, generating questions, and producing high-quality training data for model fine-tuning. This tool stands out for its compatibility with all LLM APIs that follow the OpenAI format, making the fine-tuning process simple and efficient.
Key Features
- Intelligent Document Processing: Supports multiple formats including PDF, Markdown, DOCX.
- Intelligent Text Splitting: Customizable visual segmentation and multiple splitting algorithms.
- Intelligent Question Generation: Extracts relevant questions from each text segment.
- Domain Labels: Builds global domain labels for datasets with global understanding capabilities.
- Answer Generation: Uses LLM API to generate comprehensive answers and Chain of Thought (COT).
- Flexible Editing: Edit questions, answers, and datasets at any stage.
- Multiple Export Formats: Export datasets in various formats and file types (Alpaca, ShareGPT, JSON, JSONL).
- Wide Model Support: Compatible with all LLM APIs following the OpenAI format.
- User-Friendly Interface: Designed for both technical and non-technical users.
- Custom System Prompts: Add custom system prompts to guide model responses.
Use Cases
- Data Scientists: Creating structured datasets from domain knowledge for LLM fine-tuning.
- Researchers: Generating high-quality training data for model development and testing.
- Enterprises: Transforming internal documents into datasets for improving internal LLMs.
Advantages
- Simplifies the process of creating fine-tuning datasets for LLMs.
- Compatible with various file formats and LLM APIs, enhancing usability.
- Provides an intuitive interface for both technical and non-technical users.
Limitations / Considerations
- The project's license is currently unknown, which may affect its use in commercial applications.
- The tool's effectiveness is dependent on the quality of the input documents and the LLM APIs used.
Similar / Related Projects
- Hugging Face's Datasets Library: A collection of datasets for training and fine-tuning LLMs, differing in its focus on dataset curation rather than creation.
- AllenNLP: An open-source NLP research library, which provides tools for model creation but not specifically for dataset generation like Easy Dataset.
- TensorFlow Datasets: A library of datasets ready to use with TensorFlow, offering a different approach by providing pre-built datasets rather than tools for dataset creation.
Basic Information
- GitHub: https://github.com/ConardLi/easy-dataset
- Stars: 10,841
- License: Unknown
- Last Commit: 2025-09-20
📊 Project Information
- Project Name: easy-dataset
- GitHub URL: https://github.com/ConardLi/easy-dataset
- Programming Language: JavaScript
- ⭐ Stars: 10,841
- 🍴 Forks: 1,049
- 📅 Created: 2025-03-04
- 🔄 Last Updated: 2025-09-20
🏷️ Project Topics
Topics: [, ", d, a, t, a, s, e, t, ", ,, , ", j, a, v, a, s, c, r, i, p, t, ", ,, , ", l, l, m, ", ]
🔗 Related Resource Links
📚 Documentation
🌐 Related Websites
This article is automatically generated by AI based on GitHub project information and README content analysis