Update README.md

README.md

@@ -39,7 +39,7 @@ configs:
 
 # Java Code Readability Merged Dataset
 
-This dataset contains **421 Java code snippets** along with a **readability score**, aggregated from different scientific papers.
+This dataset contains **421 Java code snippets** along with a **readability score**, aggregated from different scientific papers [1, 2, 3].
 
 You can download the dataset using Hugging Face:
 
@@ -67,9 +67,9 @@ The dataset is structured as follows:
 The main goal of this repository is to train code **readability classifiers for Java source code**. 
 The dataset is a combination and normalization of three datasets: 
 
-- **Buse**, R. P., & Weimer, W. R. (2009). Learning a metric for code readability. IEEE Transactions on software engineering, 36(4), 546-558.
-- **Dorn**, J. (2012). A General Software Readability Model.
-- **Scalabrino**, S., Linares‐Vásquez, M., Oliveto, R., & Poshyvanyk, D. (2018). A comprehensive model for code readability. Journal of Software: Evolution and Process, 30(6), e1958.
+1. **Buse**, R. P., & Weimer, W. R. (2009). Learning a metric for code readability. IEEE Transactions on software engineering, 36(4), 546-558.
+2. **Dorn**, J. (2012). A General Software Readability Model.
+3. **Scalabrino**, S., Linares‐Vásquez, M., Oliveto, R., & Poshyvanyk, D. (2018). A comprehensive model for code readability. Journal of Software: Evolution and Process, 30(6), e1958.
 
 The raw datasets can be downloaded [here](https://dibt.unimol.it/report/readability/).
 
@@ -146,7 +146,10 @@ The dataset should be used to train **small** Java code readability classifiers.
 
 ## Citation
 
-**BibTeX:**
+1. Buse, R. P., & Weimer, W. R. (2009). Learning a metric for code readability. IEEE Transactions on software engineering, 36(4), 546-558.
+2. Dorn, J. (2012). A General Software Readability Model.
+3. Scalabrino, S., Linares‐Vásquez, M., Oliveto, R., & Poshyvanyk, D. (2018). A comprehensive model for code readability. Journal of Software: Evolution and Process, 30(6), e1958.
+
 ```bibtex
 @article{buse2009learning,
   title={Learning a metric for code readability},
@@ -178,11 +181,6 @@ The dataset should be used to train **small** Java code readability classifiers.
 }
 ```
 
-**APA:**
-- Buse, R. P., & Weimer, W. R. (2009). Learning a metric for code readability. IEEE Transactions on software engineering, 36(4), 546-558.
-- Dorn, J. (2012). A General Software Readability Model.
-- Scalabrino, S., Linares‐Vásquez, M., Oliveto, R., & Poshyvanyk, D. (2018). A comprehensive model for code readability. Journal of Software: Evolution and Process, 30(6), e1958.
-
 ## Dataset Card Authors
 Lukas Krodinger, [Chair of Software Engineering II](https://www.fim.uni-passau.de/en/chair-for-software-engineering-ii), [University of Passau](https://www.uni-passau.de/en/).