| ---
|
| license: mit
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| language:
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| - ru
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| task_categories:
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| - question-answering
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| pretty_name: RusFinanceBenchmark
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| tags:
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| - russian
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| - finance
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| - symbolic-reasoning
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| - chain-of-thought
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| - benchmarking
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| - llm-evaluation
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| - financial-nlp
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| size_categories:
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| - 5K<n<10K
|
| ---
|
|
|
| # RusFinanceBenchmark — Symbolic Financial Reasoning in Russian
|
|
|
| **RusFinanceBenchmark** is a large-scale **symbolic financial reasoning benchmark** in Russian, designed to evaluate the multi‑step reasoning capabilities of large language models (LLMs). It contains **5,280 tasks** across **17 domains** and **172 topics**, with three difficulty levels: **Basic** (Базовый), **Intermediate** (Средний), **Advanced** (Продвинутый).
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|
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| Each task includes a natural‑language question, a step‑by‑step solution, a final numeric answer, a LaTeX formula, and an executable Python expression — making it ideal for **verifiable Chain‑of‑Thought evaluation**.
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|
|
| ## 📊 Dataset Statistics
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|
|
| | Metric | Value |
|
| |--------|-------|
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| | **Total Tasks** | 5,280 |
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| | **Domains** | 17 |
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| | **Topics** | 172 |
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| | **Levels** | Basic, Intermediate, Advanced |
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| | **Avg. Question Length** | 147.8 characters |
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| | **Avg. Solution Length** | 72.3 characters |
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| | **Fields Coverage** | `steps`: 100.0%, `details`: 84.7%, `formula_latex`: 100.0%, `python_computation`: 100.0% |
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|
|
| ## 📚 Domains
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|
|
| | Domain (Russian) | Domain (English) | Tasks |
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| |------------------|------------------|-------|
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| | Ценные бумаги | Securities | 540 |
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| | Финансовое регулирование | Financial Regulation | 420 |
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| | Налоги | Taxation | 360 |
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| | Аннуитеты и вклады | Annuities and Deposits | 330 |
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| | Финансовые рынки | Financial Markets | 330 |
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| | Личные финансы | Personal Finance | 330 |
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| | Крипто-финансы | Crypto Finance | 300 |
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| | ESG и устойчивое финансирование | ESG and Sustainable Finance | 300 |
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| | Финансовые коэффициенты | Financial Ratios | 300 |
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| | Процентные ставки | Interest Rates | 300 |
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| | Кредиты и займы | Loans and Borrowings | 300 |
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| | Слияния и поглощения (M&A) | Mergers & Acquisitions (M&A) | 300 |
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| | Управление рисками | Risk Management | 300 |
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| | Амортизация | Depreciation | 270 |
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| | Инвестиционные проекты | Investment Projects | 240 |
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| | Страхование и актуарные расчёты | Insurance and Actuarial Science | 180 |
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| | Корпоративные финансы | Corporate Finance | 180 |
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|
|
| ## 📝 Data Structure
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|
|
| Each example is a JSON object with the following fields:
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|
|
| | Field | Type | Description (English / Russian) |
|
| |-------|------|---------------------------------|
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| | `seed` | int | Random seed used for generation (Случайное зерно генерации) |
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| | `id` | string | Unique task identifier (template ID) (Уникальный идентификатор задачи) |
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| | `level` | string | Difficulty level: `Basic`, `Intermediate`, `Advanced` (Уровень сложности) |
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| | `domain` | string | Financial domain (e.g., `Процентные ставки` — Interest Rates) (Финансовый домен) |
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| | `topic` | string | Specific topic within the domain (Конкретная тема внутри домена) |
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| | `question` | string | Natural‑language question in Russian (Вопрос на естественном русском языке) |
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| | `steps` | list | Array of reasoning steps, each with `step` (int), `description` (str), and `value` (float or null) (Массив шагов рассуждения) |
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| | `final_answer` | float | Final numeric answer (Итоговый числовой ответ) |
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| | `solution` | string | Human‑readable step‑by‑step solution (Пошаговое решение для человека) |
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| | `details` | dict | Additional information (optional, may be empty) (Дополнительная информация, может быть пустой) |
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| | `formula_latex` | string | LaTeX representation of the key formula (LaTeX‑представление ключевой формулы) |
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| | `python_computation` | string | Executable Python expression to compute the answer (Исполняемое Python‑выражение для вычисления ответа) |
|
|
|
| ## 🚀 Usage
|
|
|
| ### Loading with 🤗 Datasets
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|
|
| ```python
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| from datasets import load_dataset
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|
|
| dataset = load_dataset("arabovs-ai-lab/RusFinanceBenchmark", split="train")
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| print(dataset[0])
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| ```
|
|
|
| ### Example Record
|
|
|
| ```json
|
| {
|
| "seed": 2169157862,
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| "id": "3",
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| "level": "Intermediate",
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| "domain": "Процентные ставки",
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| "topic": "nom_from_eff",
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| "question": "Эффективная ставка по вкладу в Статус Финанс составляет 13.05% при капитализации каждый месяц. Какова номинальная ставка?",
|
| "steps": [
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| {"step": 1, "description": "Эффективная ставка = 13.05%, период капитализации = месяц", "value": null},
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| {"step": 2, "description": "nom = 12 * ((1 + 0.1305)^(1/12) - 1)", "value": 12.33}
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| ],
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| "final_answer": 12.33,
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| "solution": "Шаг 1: Формула: nom = m * ((1 + eff)^(1/m) – 1)\nШаг 2: nom = 12 * ((1 + 0.1305)^(1/12) – 1) = 12.33%",
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| "details": {},
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| "formula_latex": "\\(12 \\cdot \\left((1 + 0.1305)^{1/12} - 1\\right) \\times 100\\%\\)",
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| "python_computation": "12 * ((1 + 0.1305)**(1/12) - 1)"
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| }
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| ```
|
|
|
| ## 📄 License
|
|
|
| This dataset is released under the **MIT License**.
|
|
|
| ## 📚 Citation
|
|
|
| If you use this dataset, please cite:
|
|
|
| ```bibtex
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| @misc{rusfinancebenchmark2025,
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| author = {Arabov Mullosharaf},
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| title = {RusFinanceBenchmark: A Symbolic Financial Reasoning Benchmark for Russian LLMs},
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| year = {2026},
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| publisher = {Hugging Face},
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| url = {https://huggingface.co/datasets/RusNLPWorld/RusFinanceBenchmark}
|
| }
|
| ``` |
