metadata
pretty_name: Alloy-Bench
language:
- ru
license: cc-by-nc-sa-4.0
task_categories:
- text-generation
tags:
- metallurgy
- mining
size_categories:
- 1K<n<10K
Alloy-Bench
Alloy-Bench is a Russian-language multiple-choice benchmark for evaluating large language models in the domain of metallurgy and mining engineering.
It is designed in the spirit of MMLU-style exams and focuses on professional knowledge rather than general trivia.
This is the validation split - publicly available for open evaluation and comparison.
Version
v1.1 fixed
📊 Dataset Statistics
- Total questions: 1,120 questions
- Language: Russian
- Format: Parquet
📋 Data Format
The dataset is stored in a tabular format (Parquet). Each row corresponds to a single multiple-choice question and includes:
- question – the question text in Russian;
- options – a list of possible answers (3–5 choices);
- correct_answer – the correct option;
- knowledge_area – subdomain (e.g. Металлургия редких металлов, Металлургия тяжелых цветных металлов, Химическая инженерия).
📚 Citation
If you use Alloy-Bench in academic work or reports, please cite it as:
@misc{alloybench2025,
title = {Alloy-Bench: Russian Benchmark for Metallurgy and Mining Question Answering},
author = {nn-tech},
year = {2025},
howpublished = {\url{https://huggingface.co/datasets/nn-tech/Alloy-Bench}},
note = {Multiple-choice evaluation benchmark for domain LLMs}
}