Datasets:

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Languages:
Arabic
License:
File size: 4,112 Bytes
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---
size_categories:
- 1K<n<10K
license: other
license_name: cc-by-nc-sa
license_link: https://huggingface.co/datasets/smballaa/GATmath
language:
- ar
task_categories:
- multiple-choice
pretty_name: GATmath (verified)
configs:
- config_name: algebra
  data_files:
  - split: test
    path: algebra/test-00000-of-00001.parquet
- config_name: arithmetic
  data_files:
  - split: test
    path: arithmetic/test-00000-of-00001.parquet
- config_name: comparisons
  data_files:
  - split: test
    path: comparisons/test-00000-of-00001.parquet
- config_name: geometry
  data_files:
  - split: test
    path: geometry/test-00000-of-00001.parquet
---

# GATmath (verified)

A filtered copy of **GATmath**, the Arabic multiple-choice math benchmark derived from the General Aptitude Test (GAT), with samples flagged by a multi-judge audit removed. Four configs: `algebra`, `arithmetic`, `comparisons`, `geometry`.

> **What "verified" means.** Samples were removed when all three LLM judges flagged a significant defect. This is not a human review, and only samples that baseline models answered incorrectly were audited, so some defects may remain in the kept data.

## Source
- Original dataset: [`smballaa/GATmath`](https://huggingface.co/datasets/smballaa/GATmath), revision `bec17562a1fa6308e4ac713730412a52603f0b6d` (files `algebra.JSON`, `arithmetic.json`, `comparisons.JSON`, `geometry.JSON`).
- The copy used for evaluation (the starting point of this filtered version) equals the upstream files except that the question text (`السؤال`) of 3 `algebra` questions and 1 `geometry` question was edited locally; options and answers are unchanged.
- Only the GATmath files are included (not the verbal GATLc files).

## Columns
`السؤال` (question), `أ`, `ب`, `ج`, `د` (the four options), `الإجابة_الصحيحة` (gold letter) and `النوع` (type), as in the source.

## Audit and filtering

Samples were screened with the multi-judge audit described in [`IFM/discarded_samples`](https://huggingface.co/datasets/IFM/discarded_samples) (revision `3a3c1339`, config `GATmath`). Three language-model judges (GPT-5.6 Sol, Gemini 3.8 Flash, Claude Opus 5) assessed candidate samples that strong baselines answered incorrectly. A sample is excluded only when **all three** judges report a *significant* issue (a problem with the question, the options or the gold label that prevents reliable answering or scoring). Excluded samples were matched to this benchmark by the row index (`doc_id`) assigned by lm-evaluation-harness, which equals the 0-based row index of the source file listed above; every matched row was additionally checked against the discarded record's question text and gold label. All other rows are kept in their original order, with the column names and values of the evaluation copy, which includes the locally edited question text of source rows 2 and 27 (`algebra`) and 3 (`geometry`); the other edited `algebra` question was excluded by the audit.

| Config | Original rows | Excluded | Kept |
|---|---:|---:|---:|
| `algebra` | 2700 | 89 | 2611 |
| `arithmetic` | 2722 | 59 | 2663 |
| `comparisons` | 1225 | 45 | 1180 |
| `geometry` | 370 | 6 | 364 |
| **Total** | **7017** | **199** | **6818** |

## License
The source card states **CC BY-NC-SA** (version not specified). This copy inherits those terms: non-commercial use with attribution, share-alike. Check the [original card](https://huggingface.co/datasets/smballaa/GATmath) before reuse.

## Citation
Please cite the original authors:

```bibtex
@article{alballaa2025gatmath,
  title   = {GATmath and GATLc: Comprehensive benchmarks for evaluating Arabic large language models},
  author  = {AlBallaa, S. and AlTwairesh, N. and AlSalman, A. and Alfarhood, S.},
  journal = {PLoS One},
  volume  = {20},
  number  = {9},
  pages   = {e0329129},
  year    = {2025},
  doi     = {10.1371/journal.pone.0329129}
}

@misc{jais3_2026,
  title  = {Jais 3: Introducing Arabic-centric Agentic AI},
  author = {{IFM Team, Inception42 Team, and Cerebras Team}},
  year   = {2026},
  url    = {https://ifm.ai/blog/jais3/},
}
```