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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.