Update README.md

README.md

@@ -4,9 +4,9 @@ This is a Latin RoBERTa-based LM model, version 2.
 
 The intention of the Transformer-based LM is twofold: on the one hand, it will be used for the evaluation of HTR results; on the other, it should be used as a decoder for the TrOCR architecture.
 
-The training data is the same data as has been used by [Bamman and Burns (2020)](https://arxiv.org/pdf/2009.10053.pdf), although more heavily filtered (see below)
+The training data is more or less the same data as has been used by [Bamman and Burns (2020)](https://arxiv.org/pdf/2009.10053.pdf), although more heavily filtered (see below). There are several digital-born texts from online Latin archives. Other Latin texts have been crawled by [Bamman and Smith](https://www.cs.cmu.edu/~dbamman/latin.html) and thus contain many OCR errors.
 
-The overall corpus contains 2.5G of text data.
+The overall downsampled corpus contains 577M of text data.
 
 ### Preprocessing