Datasets:
license: cc-by-nc-nd-4.0
language:
- fa
tags:
- multiple-choice
- evaluation
- knowledge
- general-knowledge
- education
- persian
pretty_name: PerMMLU Benchmark
PerMMLU
Dataset Summary
The PerMMLU Benchmark is a localized and extended version of the original MMLU (Massive Multitask Language Understanding) benchmark, adapted specifically for Persian-speaking users and domains. This benchmark is designed to comprehensively evaluate both general and specialized knowledge of language models across a broad range of topics.
This dataset is structured to assess educational and cultural understanding and includes:
- School-level questions from Grade 4 to Grade 12
- University-level questions covering various academic disciplines
- Cultural and local knowledge specific to Persian-speaking societies, such as:
- Iranian laws and regulations
- Famous historical or contemporary figures
- Regional products and traditions
This benchmark is intended to test a model's capabilities in reasoning and factual knowledge in the Persian language, across both standard curricula and region-specific knowledge.
Supported Task
The benchmark supports the Multiple Choice Question Answering (MCQA) task. Each entry includes a question, four possible choices, and one correct answer.
Languages
fa— Persian (Farsi)
License
This dataset is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).
You must give appropriate credit, may not use it for commercial purposes, and may not distribute modified versions of the dataset.
For details, see the license file or https://creativecommons.org/licenses/by-nc-nd/4.0/