Math Logic Ru: Russian Natural Language to Mathematical Logic Formalization Dataset

Math Logic Ru is a synthetic dataset for training models to formalize Russian natural language text into mathematical logic. The dataset covers 10 sections, from propositional logic to multi-step deductive chains. It was created by author s85io and last updated on Hugging Face on March 13, 2026.

Use Cases

• Train models to translate Russian text into logical formulas based on the described formalization task.
• Develop educational tools for teaching mathematical logic concepts in Russian based on the synthetic examples.
• Benchmark model performance on multi-step deductive reasoning tasks based on the dataset's described scope.
• Fine-tune language models for structured argument analysis in Russian based on the described logical structure identification.

Strengths

• Covers 10 distinct sections of mathematical logic, providing structured scope.
• Explicitly targets formalization into a defined notation set (∧, ∨, ¬, →, ↔, ∀, ∃, ⊂, ∪, ∩).
• Focuses on Russian natural language, addressing a specific linguistic domain.

Limitations

• Row count, column definitions, and file formats are unknown, which limits suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is synthetic, which may limit the diversity and real-world applicability of examples.

Provenance

Source

Hugging Face, author s85io.

Collection Method

Synthetically generated.

Time Range

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Freshness

Last updated 2026-03-13 09:45:37; freshness should be verified.

Geography

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