Update README.md

README.md

@@ -27,7 +27,20 @@ hidden space before being passed to the transformer encoder.
 
 ## Training
 
-Trained on a corpus of  (MLM probability 8%, span masking, edge masking, random gap augmentation).
+The model was trained on a corpus of Old Russian and Church Slavonic texts assembled from the following sources:
+
+| Source | Language | Tokens | Link |
+|--------|----------|--------|------|
+| Birchbark manuscripts | Old Novgorodian | — | [gramoty.ru](https://gramoty.ru), [epigraphica.ru](https://epigraphica.ru) |
+| DIACU | Old Church Slavonic; Church Slavonic (Old Russian, Middle Bulgarian, Serbian, Resava recensions); Middle Russian | 1,683,307 | [ACL Anthology](https://aclanthology.org/2025.bsnlp-1.12/) |
+| TOROT | Old Russian; Church Slavonic | 682,430 | [torottreebank.github.io](https://torottreebank.github.io) |
+| Bible (Ponomar) | Church Slavonic | 603,047 | [GitHub](https://github.com/typiconman/ponomar/tree/master/Ponomar/languages/cu/bible/elis) |
+| Byliny | Old Russian (XI–XVII c.) | 430,103 | [rusneb.ru](https://rusneb.ru/catalog/000199_000009_003636356/) |
+| Pushkin House | Old Russian | 256,503 | [lib2.pushkinskijdom.ru](https://lib2.pushkinskijdom.ru) |
+| Military Statute (Part 2) | Old Russian | 49,787 | [rusneb.ru](https://rusneb.ru/catalog/000199_000009_004093983/) |
+| NKRYA (historical) | Old Russian; Old Rus (XI–XVIII c.) | 42,412 | [ruscorpora.ru](https://ruscorpora.ru) |
+
+Masking details: MLM probability 8%, span masking, edge masking, random gap augmentation.
 
 ## Usage
 
@@ -49,7 +62,7 @@ model = AutoModelForMaskedLM.from_pretrained(
 
 If you use this model, please cite:
 ```
-@thesis{...,
+@thesis{
   title  = {Automatic Restoration and Analysis of Birchbark Manuscripts},
   author = {Maxim Eremeev},
   year   = {2026},