| | --- |
| | language: |
| | - ar |
| | size_categories: |
| | - 1K<n<10K |
| | --- |
| | # Dataset Card for Dataset Name |
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| | 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). |
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| | ## Dataset Details |
| | ## License: CC BY-NC-SA |
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| | ### Dataset Description |
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| | size: 7016 questions |
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| | -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. |
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| | - **Curated by:** AlBallaa S, AlTwairesh N, AlSalman A, Alfarhood S |
| | - **Shared by:** AlBallaa S |
| | - **Language(s) (NLP):** Arabic |
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| | ### Dataset Sources |
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| | - **Paper:** https://doi.org/10.1371/journal.pone.0329129 |
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| | ### Source Data |
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| | The General Aptitude Test (GAT), Saudi Arabia |
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| | ## Citation |
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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 |
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