Update README.md

README.md

@@ -34,7 +34,7 @@ To ensure interoperability, transformation, and machine readability, adopted **s
 
 If you're interested in a specific individual or group of datasets from UniversalCEFR, you may access their transformed, standardised version through the UniversalCEFR Huggingface Org: https://huggingface.co/UniversalCEFR
 
-If you use any of the datasets indexed in UniversalCEFR, **please cite the original dataset papers** they are associated with. You can find them in the data directory above.
+If you use any of the datasets indexed in UniversalCEFR, **please cite the original dataset papers** they are associated with. You can find them when you open each dataset in this organization.
 
 Note that there are a few datasets in UniversalCEFR---`EFCAMDAT`, `APA-LHA`, `BEA Shared Task 2019 Write and Improve`, and `DEPlain`---that are not directly available from the UniversalCEFR Huggingface Org as they require users to agree with their Terms of Use before using them for non-commercial research. Once you've done this, you can use the preprocessing Python scripts in [`universalcefr-experiments`](https://github.com/UniversalCEFR/universalcefr-experiments) repository to transform the raw version to UniversalCEFR version.