DramaBench: A Six-Dimensional Evaluation Framework for Drama Script Continuation

Shijian Ma, Yunqi Huang, Yan Lin
12/22/2025
cs.CL

No official code found. Best implementation: IIIIQIIII/DramaBench (85 stars, MIT, last commit 2026-01-01).

Abstract

Drama script continuation requires models to maintain character consistency, advance plot coherently, and preserve dramatic structurecapabilities that existing benchmarks fail to evaluate comprehensively. We present DramaBench, the first large-scale benchmark for evaluating drama script continuation across six independent dimensions: Format Standards, Narrative Efficiency, Character Consistency, Emotional Depth, Logic Consistency, and Conflict Handling. Our framework combines rulebased analysis with LLM-based labeling and statistical metrics, ensuring objective and reproducible evaluation. We conduct comprehensive evaluation of 8 state-of-the-art language models on 1,103 scripts (8,824 evaluations total), with rigorous statistical significance testing (252 pairwise comparisons, 65.9% significant) and human validation (188 scripts, substantial agreement on 3/5 dimensions). Our ablation studies confirm all six dimensions capture independent quality aspects (mean | r | = 0.020). DramaBench provides actionable, dimensionspecific feedback for model improvement and establishes a rigorous standard for creative writing evaluation.

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Code Implementations(1)

MIT

A six-dimensional evaluation framework for drama script continuation with interactive leaderboard and case studies

855CSS, HTMLDec 20, 20259 months agoMIT
benchmarkdramaleaderboardnlp

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Cite this paper

@article{ma2025dramabench,
  title  = {DramaBench: A Six-Dimensional Evaluation Framework for Drama Script Continuation},
  author = {Shijian Ma and Yunqi Huang and Yan Lin},
  year   = {2025},
  eprint = {2512.19012},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2512.19012v2}
}

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