TINY_SCHILLER: A Drop-In German Drama Corpus for Small Language Models

Abstract:tiny_schiller closes the small-language-model prototyping, fine-tuning, education, and research gap for German literary text, providing a single-file, drop-in counterpart to Karpathy's tiny_shakespeare. The available German literary corpora are larger and richer, but require parser engineering before a single line of training or fine-tuning code can run. tiny_schiller is a 2.07-megabyte single file of eleven public-domain Schiller dramas, sourced from DraCor's GerDraCor export (CC0) and processed by deterministic parser engineering. Character-level, GPT-2 byte-pair encoding, and cl100k_base tokenization splits, an instruction-formatted dialogue-completion split, and 89 per-character persona splits load from a single HuggingFace call. A small language model literally reaches German literary text in one line of code.

5 pages. Dataset: this https URL ; Code: this https URL

Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Digital Libraries (cs.DL); Human-Computer Interaction (cs.HC)

arXiv:2607.19992 [cs.CL]

(or arXiv:2607.19992v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2607.19992 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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