Datasets:
RuFinQA — A Massive Multi-Task Reasoning Benchmark for Russian Financial Report Understanding
RuFinQA is a large-scale multi-task benchmark designed to evaluate the ability of language models to understand and reason over Russian statutory financial reports (Balance Sheet, Income Statement, Cash Flow Statement).
It contains 36,330 question–answer pairs across 5 task types, automatically derived from real-world corporate accounting statements obtained from open government data sources.
📊 Task Types
| Type | Count | Share |
|---|---|---|
| factoid | 12,255 | 33.7% |
| arithmetic | 12,021 | 33.1% |
| comparison | 4,085 | 11.2% |
| analytical | 4,059 | 11.2% |
| multistep | 3,910 | 10.8% |
📝 Data Structure
Each record is a JSON object with the following fields:
| Field | Type | Description |
|---|---|---|
id |
string | Unique identifier (e.g., arith_COMP_0001_2025_roa) |
type |
string | Task type: arithmetic, factoid, comparison, analytical, multistep |
question |
string | Natural-language question in Russian |
context |
dict | Structured financial data needed to answer the question |
answer |
string | Gold reference answer |
numeric_answer |
float (optional) | Exact numeric answer for arithmetic tasks |
tolerance |
float (optional) | Acceptable deviation for numeric evaluation |
exact_match |
string (optional) | Canonical string for factoid evaluation |
keywords |
list (optional) | Required keywords for comparison, analytical, multistep |
🚀 Usage
Loading with 🤗 Datasets
from datasets import load_dataset
dataset = load_dataset("arabovs-ai-lab/RuFinQA", split="train")
print(dataset[0])
Example Record
{
"id": "arith_COMP_0001_2025_roa",
"type": "arithmetic",
"question": "Рассчитай рентабельность активов (ROA) для компании ИНН COMP_0001 за 2025 год.",
"context": {
"inn": "COMP_0001",
"year": 2025,
"bal_1600": 633.696,
"inc_2400": 44.691
},
"answer": "ROA = 44.7 / 633.7 = 0.0705 (7.05%)",
"numeric_answer": 0.0705,
"tolerance": 0.001
}
📄 License
This dataset is released under the CC BY 4.0 license.
📚 Citation
If you use RuFinQA, please cite:
@misc{rufinqa2025,
author = {Arabov Mullosharaf Kurbonovich},
title = {RuFinQA: A Massive Multi-Task Reasoning Benchmark for Russian Financial Report Understanding},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/RusNLPWorld/RuFinQA}
}
Built for the multilingual financial NLP community.
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