LLM data collection and synthetic fine-tuning dataset pipeline
Project description
DataForge
LLM data collection and synthetic fine-tuning dataset pipeline.
Installation
Via pip (any platform)
pip install dataforge
From source
git clone https://github.com/yourusername/website-explorer.git
cd website-explorer
pip install -e .
Standalone executables
Download pre-built executables for your platform from Releases:
- Linux:
dataforge-linux-x64 - Windows:
dataforge-windows-x64.exe - macOS:
dataforge-macos-x64
Usage
dataforge
Development
Install development dependencies:
pip install -e ".[dev]"
Run tests:
pytest
Run linting:
ruff check src/ tests/
Publishing Releases
- Update version in
pyproject.toml - Commit changes
- Create a tag:
git tag v0.1.0 - Push tag:
git push origin v0.1.0
This will trigger:
- Automated builds for Windows, macOS, and Linux
- Publishing to PyPI
- Creation of a GitHub Release with executables
Release history Release notifications | RSS feed
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