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k8mpass-fraktur-series/fraktur-baltic-corpus

Fraktur Baltic Corpus Fraktur Baltic Corpus is a multilingual dataset based on historical German-language books printed in the Russian Empire during the 18th–19th centuries, primarily in Fraktur typeface. Each entry in the dataset contains: Raw OCR text from historical Fraktur sources Normalized German version Translations into seven languages: English, Russian, Estonian, Swedish, Finnish, Danish, and Modern German Volume 1: Hansen, Geschichte der Stadt Narva… See the full description on the dataset page: https://huggingface.co/datasets/k8mpass-fraktur-series/fraktur-baltic-corpus.

sourceHugging Facecc-by-sa-4.0updated 1y agoView on Hugging Face
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Fraktur Baltic Corpus

Fraktur Baltic Corpus is a multilingual dataset based on historical German-language books printed in the Russian Empire during the 18th–19th centuries, primarily in Fraktur typeface.

Each entry in the dataset contains:

  • —Raw OCR text from historical Fraktur sources
  • —Normalized German version
  • —Translations into seven languages: English, Russian, Estonian, Swedish, Finnish, Danish, and Modern German

Volume 1: Hansen, Geschichte der Stadt Narva (1858)

This initial release includes the "Einleitung" (introduction) section of the 1858 book Geschichte der Stadt Narva by H. J. Hansen, a Danish-German ethnographer. The dataset includes:

  • —87 aligned records
  • —OCR text (Fraktur)
  • —Normalized German
  • —7 parallel translations

Format

Each .jsonl and .csv entry includes the following fields:

  • —original_fraktur
  • —normalized_german
  • —translation_en
  • —translation_ru
  • —translation_et
  • —translation_sv
  • —translation_fi
  • —translation_da

License

CC BY-SA 4.0 You are free to use, adapt, and redistribute with proper attribution.

Author & Contact

This dataset is created by k8mpass, an independent open-source initiative based in Estonia. Feel free to cite, fork, or contact for collaborations.

📥 Download instructions

  • —Use dataset.csv to explore or visualize the corpus.
  • —To use the full dataset for machine learning training:
  • —Download `data.zip`
  • —Unzip it to extract the file data.jsonl
  • —Load data.jsonl using your preferred JSONL reader or training pipeline
  • —File is encoded in UTF-8 and follows JSON Lines format (one JSON object per line).