| --- |
| 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). |
| This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). |
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| ## Dataset Details |
| ## License: CC BY-NC-SA |
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| ### Dataset Description |
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| Size: 9036 questions |
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| -GATLc Tasks: |
| [1]Verbal Analogy: Identify relationships between word pairs (part-to-whole, cause-effect, transformation). |
| [2]Sentence Completion: Fill blanks with the correct word to ensure grammar, logic, and coherence. |
| [3]Contextual Error: Detect the word that is wrongly placed or contradicts the sentence meaning. |
| [4]Semantic Association & Disparity: Find words/phrases that are semantically related or the odd one out. |
| [5]Reading Comprehension: Understand and analyze texts from various domains, answering questions that test deep understanding and reasoning. |
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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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