A curated, multidimensional dataset catalogues 307 figures from the Mahabharata using Śrī Madhvāchārya’s Mahābhārata Tātparya Nirṇaya as the ontological grounding, combining genealogical, martial and narrative attributes with TypeSafe AI System One decision primitives (Choice, Score, Noul) and deterministic ethical indices. Each entry includes canonical identifiers, transliterated and Devanagari names, epithets, role, lineage, allegiance, weapons, divine boons, notable events, death/fate, and a stated moral dilemma. Philosophical guna labels (sattva, rajas, tamas) are provided with calibrated confidence and probability distributions, and every character is scored for dharmic flexibility and martial prowess (0.0-4.0) plus three noul probabilities (likelihood to subvert war dharma, be bound by vows/curses, attain liberation). Outputs also include algorithmic composite indices for dharmic integrity, martial dominance, tragic burden and cosmic influence (0-100). Data is available in parquet, JSONL and CSV, with a quickstart example and citation.
Key summary statistics and exemplar classifications make the interpretive framework explicit: 90 Pandava-allied, 153 Kaurava, 64 neutral; guna counts of 135 sattva, 19 rajas, 153 tamas; notable entries label Bhimasena and Draupadi as sattvic incarnations, Karna and Duryodhana as tamasic, and Dronacharya as sattvic. The dataset positions itself for comparative literary and ethical analysis, decision-model benchmarking, and narrative or RPG generation, and is evaluated with a calibrated TypeSafe AI decision engine.
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