Datasets:

Modalities:
Text
Formats:
csv
Languages:
English
ArXiv:
Libraries:
Datasets
pandas
License:
CORE / README.md
AnnaWegmann's picture
Update README.md
a38a396 verified
metadata
license: cc-by-4.0
language:
  - en

CORE task as adapted for "Tokenization is Sensitive to Language Variation" paper, see arxiv. Originally downloaded from https://github.com/TurkuNLP/CORE-corpus, see also Register identification from the unrestricted open Web using the Corpus of Online Registers of English. If you want to use the original CORE dataset refer to these original sources.

Warning: the column confusingly named "genre" was used as the ground truth label for experiments in the "Tokenization is Sensitive to Language Variation" paper.

@article{wegmann2025tokenization,
  title={Tokenization is Sensitive to Language Variation},
  author={Wegmann, Anna and Nguyen, Dong and Jurgens, David},
  journal={arXiv preprint arXiv:2502.15343},
  year={2025}
}