kmein/shloka: v1.0.0

This dataset and software package provide a comprehensive metrical analysis of the Anuṣṭubh verses found in the great Indian epic, the Mahābhārata. Using a computational approach, the project extracts, scans, and categorizes verses to identify patterns, variations, and statistical distributions of the most common Sanskrit meter.

The repository includes the full pipeline for:

• Metrical Scansion: Algorithmic identification of light (laghu) and heavy (guru) syllables.
• Comparative Analysis: Data generation for both the Mahābhārata and Rāmāyaṇa in CSV format.
• Statistical Visualization: A Jupyter Notebook detailing the findings through descriptive statistics and visualizations.

Technical Infrastructure

To ensure high scientific reproducibility, this project uses:

• Nix: For deterministic builds and environment management.
• Haskell: For the core scansion logic and data processing.
• Jupyter/Python: For statistical analysis and plotting.