File size: 1,245 Bytes
26e714c e5bfd63 939e8b4 e5bfd63 bec1756 e5bfd63 939e8b4 33746ea 2823bfd e5bfd63 939e8b4 e5bfd63 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | ---
language:
- ar
size_categories:
- 1K<n<10K
---
# 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
## License: CC BY-NC-SA
### Dataset Description
size: 7016 questions
-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
|