Datasets:

mrkschtr
/

tiny_schiller

title stringclasses 9 values	text stringclasses 9 values
Die Räuber	"Friedrich Schiller\nDie Räuber\nEin Schauspiel\n\n\nHippocrates\n\nQuae medicamenta non sanant, fe(...TRUNCATED)
Die Verschwörung des Fiesco zu Genua	"Friedrich Schiller\nDie Verschwörung des Fiesco zu Genua\nEin republikanisches Trauerspiel\n\n\nSa(...TRUNCATED)
Kabale und Liebe	"Friedrich Schiller\nKabale und Liebe\nEin bürgerliches Trauerspiel in fünf Aufzügen\n\n\nPersone(...TRUNCATED)
Don Carlos, Infant von Spanien	"Friedrich Schiller\nDon Carlos, Infant von Spanien\nEin dramatisches Gedicht\n\n\nPersonen\nPhilipp(...TRUNCATED)
Wallensteins Lager	"Friedrich Schiller\nWallensteins Lager\nEin dramatisches Gedicht\n\n\nProlog\nGesprochen bei Wieder(...TRUNCATED)
Die Piccolomini	"Friedrich Schiller\nDie Piccolomini\nIn fünf Aufzügen\n\n\nPersonen\nWallenstein,\nHerzog zu Frie(...TRUNCATED)
Wallensteins Tod	"Friedrich Schiller\nWallensteins Tod\nEin Trauerspiel in fünf Aufzügen\n\n\nPersonen\nWallenstein(...TRUNCATED)
Maria Stuart	"Friedrich Schiller\nMaria Stuart\nEin Trauerspiel\n\n\nPersonen\nElisabeth,\nKönigin von England.\(...TRUNCATED)
Die Jungfrau von Orleans	"Friedrich Schiller\nDie Jungfrau von Orleans\nEine romantische Tragödie\n\n\nPersonen\nKarl der Si(...TRUNCATED)

tiny_schiller

A small (~2 MB) German-language analogue to Karpathy's tiny_shakespeare — 11 of Friedrich Schiller's dramatic works, cleaned and tokenised for tutorial-scale language models.

For a compact, agent-friendly summary (file inventory, load patterns, licensing), see DATA_CARD.md.

"Das Leben ist nur ein Moment, der Tod ist auch nur einer." — Friedrich Schiller

Corpus

~2.07 MB · 11 works · 2,019,857 characters · sourced from DraCor / GerDraCor (CC0). See LICENSING.md for details.

Tokenizer	Tokens	chars/token
character-level	2,019,857	1.00
GPT-2 BPE	854,611	2.36
`cl100k_base`	642,593	3.14

Use character-level for teaching-scale models (88-token vocab, no tokenizer needed). Use cl100k over GPT-2 when sequence length matters — German umlauts and compounds tokenise 25% more efficiently.

Works

Die Räuber
Die Verschwörung des Fiesco zu Genua
Kabale und Liebe
Don Carlos, Infant von Spanien
Wallensteins Lager
Maria Stuart
Die Jungfrau von Orleans
Die Braut von Messina oder Die feindlichen Brüder
Wilhelm Tell
Die Piccolomini
Wallensteins Tod

Quick Start — nanoGPT

python schiller_char/prepare.py    # char-level, 88-vocab
python schiller_bpe/prepare.py     # GPT-2 BPE, 50k vocab
python schiller_cl100k/prepare.py  # cl100k, 100k vocab

HuggingFace Datasets

from datasets import load_dataset

ds = load_dataset("mrkschtr/tiny_schiller")
print(ds["train"][0]["title"])
print(ds["train"][0]["text"][:200])

9 works in train, 2 in test (Wilhelm Tell, Die Braut von Messina). Each row is one complete work with title and text fields.

Instruction & Character Datasets

Pre-built instruction-format parquet files are in data/ on the Hub.

General dialogue style — 7,607 examples teaching Schiller's dramatic register:

ds = load_dataset("mrkschtr/tiny_schiller", data_files="data/instruct.parquet", split="train")
print(ds[0]["prompt"])
print(ds[0]["completion"])

Per-character — fine-tune a model to respond as a specific character:

# 330 examples as Wallenstein · 325 as Carlos · 313 as Fiesco
# 237 as Marquis · 195 as Ferdinand · 194 as Königin · ...
ds = load_dataset("mrkschtr/tiny_schiller", data_files="data/char_WALLENSTEIN.parquet", split="train")

Rebuild locally (generates data/instruct.parquet + 89 data/char_*.parquet files by default):

python scripts/build_instruct.py               # all characters
python scripts/build_instruct.py --list-characters   # show available characters + turn counts
python scripts/build_instruct.py --character KARL    # single character only

Fine-tuning small LLMs

pip install transformers trl datasets accelerate
python examples/finetune_sft.py --model TinyLlama/TinyLlama-1.1B-Chat-v1.0

Default context window is 2048 tokens. Match your model with --context_length:

python examples/finetune_sft.py --model microsoft/Phi-3-mini-4k-instruct --context_length 4096
python examples/finetune_sft.py --model Qwen/Qwen2.5-0.5B --context_length 4096

Tested: TinyLlama 1.1B · Phi-3 Mini 3.8B · Llama 3.2 1B/3B · Qwen2.5 0.5B–3B.

License

Text: public domain (Schiller died 1805) and sourced from DraCor / GerDraCor under CC0. See LICENSING.md for details.

Citation

@misc{schutera2023tinyschiller,
  author       = {Schutera, Mark},
  title        = {tiny\_schiller: a small German Schiller corpus for small language models},
  year         = {2023},
  howpublished = {\url{https://github.com/schutera/tiny_schiller}},
  note         = {Source texts: DraCor / GerDraCor (CC0) and public domain.}
}

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