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src/about.py
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LLM_BENCHMARKS_TEXT = f"""
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## Open Persian LLM Alignment Leaderboard
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Developed by **MCILAB** in collaboration with the Machine Learning Laboratory at **Sharif University of Technology** , this benchmark presents a comprehensive evaluation framework for assessing the alignment of Persian Large Language Models (LLMs) with critical ethical dimensions, including safety, fairness, and social norms.
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Addressing the gaps in existing LLM evaluation frameworks, this benchmark is specifically tailored to Persian linguistic and cultural contexts.
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### It combines three types of Persian-language benchmarks:
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1. Translated datasets (adapted from established English benchmarks)
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LLM_BENCHMARKS_TEXT = f"""
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## Open Persian LLM Alignment Leaderboard
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Developed by **MCILAB** in collaboration with the Machine Learning Laboratory at **Sharif University of Technology** , this benchmark is based on the open-source [ELAB](https://arxiv.org/pdf/2504.12553) where presents a comprehensive evaluation framework for assessing the alignment of Persian Large Language Models (LLMs) with critical ethical dimensions, including safety, fairness, and social norms.
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Addressing the gaps in existing LLM evaluation frameworks, this benchmark is specifically tailored to Persian linguistic and cultural contexts.
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### It combines three types of Persian-language benchmarks:
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1. Translated datasets (adapted from established English benchmarks)
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