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arXiv — NLP / Computation & Language · · 3 min read

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

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Computer Science > Computation and Language

arXiv:2607.19992 (cs)
[Submitted on 22 Jul 2026]

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

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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.
Comments: 5 pages. Dataset: this https URL ; Code: this https URL
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Digital Libraries (cs.DL); Human-Computer Interaction (cs.HC)
ACM classes: I.2.7
Cite as: arXiv:2607.19992 [cs.CL]
  (or arXiv:2607.19992v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2607.19992
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Mark Schutera Dr.-Ing. [view email]
[v1] Wed, 22 Jul 2026 10:23:33 UTC (25 KB)
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