OALL/AlGhafa-Arabic-LLM-Benchmark-Native
AlGhafa Arabic LLM Benchmark New fix: Normalized whitespace characters and ensured consistency across all datasets for improved data quality and compatibility. Multiple-choice evaluation benchmark for zero- and few-shot evaluation of Arabic LLMs, we adapt the following tasks: Belebele Ar MSA Bandarkar et al. (2023): 900 entries Belebele Ar Dialects Bandarkar et al. (2023): 5400 entries COPA Ar: 89 entries machine-translated from English COPA and verified by… See the full description on the dataset page: https://huggingface.co/datasets/OALL/AlGhafa-Arabic-LLM-Benchmark-Native.
| Author / organization | OALL |
|---|---|
| Downloads | 1.5K (as reported by Hugging Face) |
| Likes | 8 |
| Created | 3 February 2024 |
| Last updated at source | 7 March 2024 |
Recent changes
- 16 Oct 2026 Description: AlGhafa Arabic LLM Benchmark New fix: Normalized whitespace characters and ensured consistency across all datasets for improved data quality and compatibility. Multiple-choice evaluation benchmark for zero- and few-shot evaluation of Arabic → AlGhafa Arabic LLM Benchmark New fix: Normalized whitespace characters and ensured consistency across all datasets for improved data quality and compatibility. Multiple-choice evaluation benchmark for zero- and few-shot evaluation of Arabic
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