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README.md
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---
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pretty_name: Alloy-Bench
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language:
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- ru
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license: apache-2.0
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task_categories:
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- multiple-choice-qa
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tags:
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- metallurgy
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- mining
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- russian
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- benchmark
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- mmlu-style
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size_categories:
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- 1K<n<10K
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---
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## Alloy-Bench
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**Alloy-Bench** is a Russian-language **multiple-choice benchmark** for evaluating large language models in the domain of metallurgy and mining engineering.
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It is designed in the spirit of MMLU-style exams and focuses on professional knowledge rather than general trivia.
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### 📊 Dataset Statistics
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- **Total questions:** 1,120 questions
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- **Language:** Russian
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- **Format:** Parquet
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---
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### 📋 Data Format
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The dataset is stored in a tabular format (Parquet). Each row corresponds to a **single multiple-choice question** and includes:
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- **question** – the question text in Russian;
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- **options** – a list of possible answers (3–5 choices);
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- **correct_answer** – the correct option;
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- **knowledge_area** – subdomain (e.g. *Металлургия редких металлов*, *Металлургия тяжелых цыетных металлов*, *Химическая инженерия*).
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---
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### 📚 Citation
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If you use Alloy-Bench in academic work or reports, please cite it as:
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```bibtex
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@misc{alloybench2025,
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title = {Alloy-Bench: Russian Benchmark for Metallurgy and Mining Question Answering},
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author = {nn-tech},
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year = {2025},
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howpublished = {\url{https://huggingface.co/datasets/nn-tech/Alloy-Bench}},
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note = {Multiple-choice evaluation benchmark for domain LLMs}
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}
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```
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---
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data/validation.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:e154af0424ca41a86581d9bda7daa93c6e2a1d472d13c0e0ee20d6fcca7281a1
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size 246975
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images/area_distribution_val.png
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Git LFS Details
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