Update README.md

README.md

@@ -25,11 +25,36 @@ This is the combined ASAG2024 dataset which consists of various automated gradin
 
 ### Dataset Sources [optional]
 
-<!-- Provide the basic links for the dataset. -->
-
-<!-- - **Repository:** [More Information Needed] -->
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+This dataset was collected from the sources listed below. If you use this in your work, please make sure to cite the original authors. 
+
+#### Stita
+Repository: https://github.com/edgresearch/dataset-automaticgrading-2022/tree/master
+
+Citation: 
+```
+del Gobbo, E., Guarino, A., Cafarelli, B. et al. GradeAid: a framework for automatic short answers grading in educational contexts—design, implementation and evaluation. _Knowl Inf Syst_ 65, 4295–4334 (2023). https://doi.org/10.1007/s10115-023-01892-9
+```
+
+BibTex: 
+```
+@Article{delGobbo2023,
+  author={del Gobbo, Emiliano
+  and Guarino, Alfonso
+  and Cafarelli, Barbara
+  and Grilli, Luca},
+  title={GradeAid: a framework for automatic short answers grading in educational contexts---design, implementation and evaluation},
+  journal={Knowledge and Information Systems},
+  year={2023},
+  month={Oct},
+  day={01},
+  volume={65},
+  number={10},
+  pages={4295-4334},
+  issn={0219-3116},
+  doi={10.1007/s10115-023-01892-9},
+  url={https://doi.org/10.1007/s10115-023-01892-9}
+}
+```
 
 
 <!-- ## Dataset Structure -->