Datasets:
Tasks:
Question Answering
Formats:
json
Sub-tasks:
multiple-choice-qa
Languages:
Arabic
Size:
10K - 100K
License:
HADS – Human Action and Decision Sense (حَدس)
📄 Paper: HADS: A Large-Scale Parallel Benchmark for Physical Commonsense Reasoning — IEEE Access, 2026 (doi:10.1109/ACCESS.2026.3705337)
HADS is a large-scale Arabic parallel adaptation of the English PIQA benchmark for physical commonsense reasoning. The name derives from the Arabic word حَدس (hads), meaning physical intuition or gut sense — the tacit embodied knowledge the benchmark measures.
Dataset summary
| Split | Items |
|---|---|
| Full (single file) | 15,988 |
Each record contains:
| Field | Description |
|---|---|
id |
Unique integer ID |
goal_ar |
Physical task goal in Arabic (MSA) |
sol1_ar |
First candidate solution |
sol2_ar |
Second candidate solution |
label |
Correct solution index (0 = sol1, 1 = sol2) |
Citation
If you use HADS, please cite the IEEE Access paper (doi:10.1109/ACCESS.2026.3705337):
@article{alkhalifa2026hads,
author={Al-Khalifa, Hend S.},
title={HADS: A Large-Scale Parallel Benchmark for Physical Commonsense Reasoning},
journal={IEEE Access},
year={2026},
doi={10.1109/ACCESS.2026.3705337},
url={https://ieeexplore.ieee.org/document/11570093}
}
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