Update README.md

README.md

@@ -2,30 +2,44 @@
 This file contains all essay responses with their associated human-assigned scores. It also includes metadata about the evaluation context and student groups.
 
 Column explanations:
+
 Question_id: ID from 1 to 12.
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 Course_Name: The course associated with the essay.
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 Group_id: Identifier for student groupings within each course.
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 Gender: Gender of the student. (Note: male and female students were taught separately.)
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 Exam_Type: Specifies if the exam was traditional or online.
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 Essay_id: Unique ID for each essay.
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 Essay: Full text of the essay.
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 Rubric_a1–a4: Scores from the first evaluator (course instructor), based on question-specific criteria.
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 Final_Score_A: Sum of the rubric scores from the first evaluator.
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 Rubric_b1–b4: Scores from the second independent evaluator.
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 Final_Score_B: Sum of the rubric scores from the second evaluator.
 
 
 📄 Second File: AR-AES Dataset - Question List & Rubric (Arabic)
 Arabic list of essay questions and their corresponding evaluation criteria.
 
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 📄 Third File: AR-AES Dataset - Question List & Rubric (English)
 English translation of the essay questions and rubric.
 
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 📄 Fourth File: AR-AES Dataset - Typical Answers
 A reference set of model answers in Arabic and English for each question.
 
 
-Licensing & Citation
+Licensing & Citation:
+
 This dataset is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).
 You are free to use, share, and adapt the dataset—even for commercial purposes—as long as you give appropriate credit to the authors.
 
@@ -33,7 +47,10 @@ If you use or reference this dataset in your work, please cite:
 
 @article{ghazawi2024automated,
   title={Automated essay scoring in Arabic: a dataset and analysis of a BERT-based system},
+  
   author={Ghazawi, Rayed and Simpson, Edwin},
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   journal={arXiv preprint arXiv:2407.11212},
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   year={2024}
 }