Latin part of cc100 corpus
This dataset contains parts of the Latin part of the cc100 dataset. It was used to train a RoBERTa-based LM model with huggingface.
Preprocessing
I undertook the following preprocessing steps:
- Removal of all "pseudo-Latin" text ("Lorem ipsum ...").
- Use of CLTK for sentence splitting and normalisation.
- Retaining only lines containing letters of the Latin alphabet, numerals, and certain punctuation (-->
grep -P '^[A-z0-9ÄÖÜäöüÆ挜ᵫĀāūōŌ.,;:?!\- Ęę]+$' la.nolorem.tok.txt - deduplication of the corpus
The result is a corpus of ~390 million tokens.
Structure
The dataset is structured the following way:
{
"train": {
"text": "Solventibus autem illis pullum , dixerunt domini ejus ad illos : Quid solvitis pullum ?",
"text": "Errare humanum est ."
...
}
"test": {
"text": "Alia iacta est ."
...
}
}
Contact
For contact, reach out to Phillip Ströbel via mail or via Twitter.