metadata

dataset_info:
  features:
    - name: orig
      dtype: string
    - name: norm
      dtype: string
    - name: freq
      dtype: int64
  splits:
    - name: train
      num_bytes: 3722916
      num_examples: 103670
    - name: dev
      num_bytes: 1909312
      num_examples: 54356
    - name: test
      num_bytes: 1691872
      num_examples: 48875
  download_size: 5073482
  dataset_size: 7324100
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: dev
        path: data/dev-*
      - split: test
        path: data/test-*
license: cc0-1.0
task_categories:
  - translation
language:
  - de
pretty_name: DTA EvalCorpus Lexicon

DTA EvalCorpus Lexicon

This dataset is a derivative of the DTA EvalCorpus which is a parallel corpus by the Deutsche Textarchiv (DTA), of the Deutsche Textarchiv (German Text Archive), who aligned historic prints of documents with their respective modern editions normalized contemporary orthography.

In particular, this dataset is constructed from a subset of 85 literary documents of the DTA EvalCorpus, and then counting the normalization pairs. The dataset can be replicated from the DTA EvalCorpus from the code in the accompanying GitHub repository aehrm/hybrid_textnorm.

The dataset is marked with CC0 1.0 Universal. This is an Adaptation of

the DTA EvalCorpus by Bryan Jurish, Henriette Ast, Marko Drotschmann, and Christian Thomas, licensed under the Creative Commons Attribution-NonCommercial 3.0 Unported License,
historical source text by the Deutsche Textarchiv, licensed under the Creative Commons Attribution-NonCommercial 3.0 Unported License,
contemporary target text by TextGrid, licensed under the Creative Commons Attribution 3.0 Unported License,
contemporary target text by Project Gutenberg, licensed under the Project Gutenberg License.

Conditions on attribution and/or restrictions to commercial use may apply.