| ---
|
| license: mit
|
| language:
|
| - ru
|
| task_categories:
|
| - question-answering
|
| pretty_name: RusFinChain
|
| tags:
|
| - russian
|
| - finance
|
| - symbolic-reasoning
|
| - chain-of-thought
|
| - benchmarking
|
| - llm-evaluation
|
| - financial-nlp
|
| size_categories:
|
| - 5K<n<10K
|
| ---
|
|
|
| # RusFinChain — Symbolic Financial Reasoning in Russian
|
|
|
| **RusFinChain** 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).
|
|
|
| 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**.
|
|
|
| ## 📊 Dataset Statistics
|
|
|
| | Metric | Value |
|
| |--------|-------|
|
| | **Total Tasks** | 5,280 |
|
| | **Domains** | 17 |
|
| | **Topics** | 172 |
|
| | **Levels** | Basic, Intermediate, Advanced |
|
| | **Avg. Question Length** | 147.8 characters |
|
| | **Avg. Solution Length** | 72.3 characters |
|
| | **Fields Coverage** | `steps`: 100.0%, `details`: 84.7%, `formula_latex`: 100.0%, `python_computation`: 100.0% |
|
|
|
| ## 📚 Domains
|
|
|
| | Domain (Russian) | Domain (English) | Tasks |
|
| |------------------|------------------|-------|
|
| | Ценные бумаги | Securities | 540 |
|
| | Финансовое регулирование | Financial Regulation | 420 |
|
| | Налоги | Taxation | 360 |
|
| | Аннуитеты и вклады | Annuities and Deposits | 330 |
|
| | Финансовые рынки | Financial Markets | 330 |
|
| | Личные финансы | Personal Finance | 330 |
|
| | Крипто-финансы | Crypto Finance | 300 |
|
| | ESG и устойчивое финансирование | ESG and Sustainable Finance | 300 |
|
| | Финансовые коэффициенты | Financial Ratios | 300 |
|
| | Процентные ставки | Interest Rates | 300 |
|
| | Кредиты и займы | Loans and Borrowings | 300 |
|
| | Слияния и поглощения (M&A) | Mergers & Acquisitions (M&A) | 300 |
|
| | Управление рисками | Risk Management | 300 |
|
| | Амортизация | Depreciation | 270 |
|
| | Инвестиционные проекты | Investment Projects | 240 |
|
| | Страхование и актуарные расчёты | Insurance and Actuarial Science | 180 |
|
| | Корпоративные финансы | Corporate Finance | 180 |
|
|
|
| ## 📝 Data Structure
|
|
|
| Each example is a JSON object with the following fields:
|
|
|
| | Field | Type | Description (English / Russian) |
|
| |-------|------|---------------------------------|
|
| | `seed` | int | Random seed used for generation (Случайное зерно генерации) |
|
| | `id` | string | Unique task identifier (template ID) (Уникальный идентификатор задачи) |
|
| | `level` | string | Difficulty level: `Basic`, `Intermediate`, `Advanced` (Уровень сложности) |
|
| | `domain` | string | Financial domain (e.g., `Процентные ставки` — Interest Rates) (Финансовый домен) |
|
| | `topic` | string | Specific topic within the domain (Конкретная тема внутри домена) |
|
| | `question` | string | Natural‑language question in Russian (Вопрос на естественном русском языке) |
|
| | `steps` | list | Array of reasoning steps, each with `step` (int), `description` (str), and `value` (float or null) (Массив шагов рассуждения) |
|
| | `final_answer` | float | Final numeric answer (Итоговый числовой ответ) |
|
| | `solution` | string | Human‑readable step‑by‑step solution (Пошаговое решение для человека) |
|
| | `details` | dict | Additional information (optional, may be empty) (Дополнительная информация, может быть пустой) |
|
| | `formula_latex` | string | LaTeX representation of the key formula (LaTeX‑представление ключевой формулы) |
|
| | `python_computation` | string | Executable Python expression to compute the answer (Исполняемое Python‑выражение для вычисления ответа) |
|
|
|
| ## 🚀 Usage
|
|
|
| ### Loading with 🤗 Datasets
|
|
|
| ```python
|
| from datasets import load_dataset
|
|
|
| dataset = load_dataset("RusNLPWorld/RusFinChain", split="train")
|
| print(dataset[0])
|
| ```
|
|
|
| ### Example Record
|
|
|
| ```json
|
| {
|
| "seed": 2169157862,
|
| "id": "3",
|
| "level": "Intermediate",
|
| "domain": "Процентные ставки",
|
| "topic": "nom_from_eff",
|
| "question": "Эффективная ставка по вкладу в Статус Финанс составляет 13.05% при капитализации каждый месяц. Какова номинальная ставка?",
|
| "steps": [
|
| {"step": 1, "description": "Эффективная ставка = 13.05%, период капитализации = месяц", "value": null},
|
| {"step": 2, "description": "nom = 12 * ((1 + 0.1305)^(1/12) - 1)", "value": 12.33}
|
| ],
|
| "final_answer": 12.33,
|
| "solution": "Шаг 1: Формула: nom = m * ((1 + eff)^(1/m) – 1)\nШаг 2: nom = 12 * ((1 + 0.1305)^(1/12) – 1) = 12.33%",
|
| "details": {},
|
| "formula_latex": "\\(12 \\cdot \\left((1 + 0.1305)^{1/12} - 1\\right) \\times 100\\%\\)",
|
| "python_computation": "12 * ((1 + 0.1305)**(1/12) - 1)"
|
| }
|
| ```
|
|
|
| ## 📄 License
|
|
|
| This dataset is released under the **MIT License**.
|
|
|
| ## 📚 Citation
|
|
|
| If you use this dataset, please cite:
|
|
|
| ```bibtex
|
| @misc{rusfinchain2026,
|
| author = {Arabov Mullosharaf},
|
| title = {RusFinChain: A Symbolic Financial Reasoning Benchmark for Russian LLMs},
|
| year = {2026},
|
| publisher = {Hugging Face},
|
| url = {https://huggingface.co/datasets/RusNLPWorld/RusFinChain}
|
| } |
