Update README.md

README.md

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-language: ar
+language:
+- ar
+size_categories:
+- 1K<n<10K
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-AlBallaa S, AlTwairesh N, AlSalman A, Alfarhood S (2025) GATmath and GATLc: Comprehensive benchmarks for evaluating Arabic large language models. PLoS One 20(9): e0329129. https://doi.org/10.1371/journal.pone.0329129
+# Dataset Card for Dataset Name
+
+GATmath & GATLc Datasets
+We introduce GATmath (7k questions) and GATLc (9k questions), two large-scale Arabic benchmarks for reasoning and language understanding, derived from the General Aptitude Test (GAT).
+
+## Dataset Details
+
+### Dataset Description
 
 size: 7016 questions
 
-GATmath Tasks:
+-GATmath Tasks:
 1-Algebra: Solve equations and algebraic problems using symbols and variables.
 2-Problem Solving: Apply math to real-life scenarios like finance, ratios, speed, and time.
 3-Geometry: Text-based questions on shapes, sizes, and properties (no images included).
 4-Comparisons: Compare two values and select the correct relational option.
+
+
+- **Curated by:** AlBallaa S, AlTwairesh N, AlSalman A, Alfarhood S
+- **Shared by:** AlBallaa S
+- **Language(s) (NLP):** Arabic
+
+### Dataset Sources
+
+- **Paper:** https://doi.org/10.1371/journal.pone.0329129
+
+
+### Source Data
+
+The General Aptitude Test (GAT), Saudi Arabia
+
+
+## Citation
+
+AlBallaa S, AlTwairesh N, AlSalman A, Alfarhood S (2025) GATmath and GATLc: Comprehensive benchmarks for evaluating Arabic large language models. PLoS One 20(9): e0329129. https://doi.org/10.1371/journal.pone.0329129
+
+