| ## Latin part of cc100 corpus | |
| This dataset contains parts of the Latin part of the [cc100](http://data.statmt.org/cc-100/) dataset. It was used to train a [RoBERTa-based LM model](https://huggingface.co/pstroe/roberta-base-latin-cased) with huggingface. | |
| ### Preprocessing | |
| I undertook the following preprocessing steps: | |
| - Removal of all "pseudo-Latin" text ("Lorem ipsum ..."). | |
| - Use of [CLTK](http://www.cltk.org) 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](mailto:pstroebel@cl.uzh.ch) or [via Twitter](https://twitter.com/CLingophil). |