CardioMAS — Cardio Multi-Agent System for reproducible ECG dataset splits
Project description
CardioMAS — Cardio Multi-Agent System
A locally-runnable multi-agent system that analyzes ECG datasets, generates reproducible train/validation/test splits, and publishes split manifests (record IDs only) to vlbthambawita/ECGBench on HuggingFace.
Quick Start
pip install cardiomas
# Analyze a dataset and publish splits
cardiomas analyze https://physionet.org/content/ptb-xl/1.0.3/
# Check existing splits
cardiomas status ptb-xl
# List all analyzed datasets
cardiomas list --remote
Requirements
- Python ≥ 3.10
- Ollama running locally with a model pulled (default:
llama3.1:8b)
ollama pull llama3.1:8b
ollama serve
Python API
from cardiomas import CardioMAS
mas = CardioMAS(ollama_model="llama3.1:8b", seed=42)
result = mas.analyze("https://physionet.org/content/ptb-xl/1.0.3/")
splits = mas.get_splits("ptb-xl")
train_ids = splits["train"]
Links
- HuggingFace Dataset: vlbthambawita/ECGBench
- PyPI: cardiomas
- GitHub: vlbthambawita/CardioMAS
Project details
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