The PM-GPT-Dataset-Generator is a tool designed to create synthetic project management datasets that can be used to train Large Language Models (LLMs) for project management tasks. This generator aims to produce high-quality, diverse, and realistic datasets for use in AI models tailored for project management applications, such as task planning, resource allocation, risk management, and schedule optimization.
- Synthetic Dataset Generation: Automatically generates synthetic datasets for various project management domains, including Agile, Waterfall, and Hybrid methodologies.
- Customizable Parameters: Users can customize project types, size, complexity, deadlines, and risks.
- Streamlit UI: A simple and intuitive web-based interface built using Streamlit for easy dataset generation without manual configuration file editing.
- Multilingual Support: Generate project management datasets in different languages to train global models.
- Scalable Output: Create datasets of various sizes to meet training needs, from small samples to large datasets.
- Flexible Formats: Export datasets in multiple formats, including CSV, JSON, and Excel.
Before using the PM-GPT-Dataset-Generator, ensure that you have the following installed:
- Python 3.7+
- Streamlit for running the web interface
- Required dependencies (listed in
requirements.txt)
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Clone the repository:
git clone https://github.com/yourusername/PM-GPT-Dataset-Generator.git cd PM-GPT-Dataset-Generator -
Install dependencies, including Streamlit:
pip install -r requirements.txt
You can use Streamlit to interactively generate datasets through a web-based interface. To launch the interface, run:
streamlit run app.py