diff --git a/README.md b/README.md
index 0c62b795fa29e69016f7e728c9e8d8ec023de8ad..f11a6638ce646ead39a2af97a096ddd2aa60c112 100644
--- a/README.md
+++ b/README.md
@@ -10,7 +10,7 @@ LAMBO is a machine learning model, which means it was trained to recognise bound
 
 LAMBO was developed in context of dependency parsing. Thus, it includes models trained on [Universal Dependencies treebanks](https://universaldependencies.org/#language-), uses `.conllu` as the training [data format](https://universaldependencies.org/conll18/evaluation.html) and supports integration with [COMBO](https://gitlab.clarin-pl.eu/syntactic-tools/combo), a state-of-the-art system for dependency parsing and more. However, you can use LAMBO as the first stage of any NLP process.
 
-LAMBO currently includes models trained on 98 corpora in 53 languages. The full list is available in [languages.txt](src/lambo/data/languages.txt). For each of these, two model variants are available:
+LAMBO currently includes models trained on 98 corpora in 53 languages. The full list is available in [languages.txt](src/lambo/resources/languages.txt). For each of these, two model variants are available:
 - simple LAMBO, trained on the UD corpus
 - pretrained LAMBO, same as above, but starting from weights pre-trained on unsupervised masked character prediction using multilingual corpora from [OSCAR](https://oscar-corpus.com/).
 
@@ -43,9 +43,9 @@ Now you need to create a segmenter by providing the language your text is in, e.
 ```
 lambo = Lambo.get('English')
 ```
-This will (if necessary) download the appropriate model from the online repository and load it. Note that you can use any language name (e.g. `Ancient_Greek`) or ISO 639-1 code (e.g. `fi`) from [languages.txt](src/lambo/data/languages.txt).
+This will (if necessary) download the appropriate model from the online repository and load it. Note that you can use any language name (e.g. `Ancient_Greek`) or ISO 639-1 code (e.g. `fi`) from [languages.txt](src/lambo/resources/languages.txt).
 
-Alternatively, you can select a specific model by defining LAMBO variant (`LAMBO` or `LAMBO_no_pretraining`) and training dataset from [languages.txt](src/lambo/data/languages.txt):
+Alternatively, you can select a specific model by defining LAMBO variant (`LAMBO` or `LAMBO_no_pretraining`) and training dataset from [languages.txt](src/lambo/resources/languages.txt):
 ```
 lambo = Lambo.get('LAMBO-UD_Polish-PDB')
 ```
@@ -136,4 +136,4 @@ If you use LAMBO in your research, please cite it as software:
 
 ## License
 
-This project is licensed under the GNU General Public License v3.0.
\ No newline at end of file
+This project is licensed under the GNU General Public License v3.0.