Indonesian Math Problems With Explicit Reasoning Traces

50,000 synthetic Indonesian-language samples train language models on arithmetic problem solving. Author Sandroeth created this dataset, which was last updated in April 2026. Each sample includes a math problem and an explicit chain-of-thought reasoning trace.

Use Cases

• Fine-tune language models to generate step-by-step reasoning traces for arithmetic problems.
• Train models to solve Indonesian-language math problems by learning from the provided internal reasoning.
• Benchmark model performance on basic to advanced arithmetic operations presented in natural Bahasa Indonesia.
• Study the effectiveness of chain-of-thought prompting for Indonesian-language educational AI.

Strengths

• Contains 50,000 samples, providing substantial training data.
• Includes explicit chain-of-thought reasoning for each problem.
• Covers a range of arithmetic operations from basic to advanced.

Limitations

• Dataset is synthetic, which may not fully capture the nuance of real-world student reasoning.
• Specific column structure, sample size details, and license information are not provided in the input.
• Geographic and demographic representativeness of the problem style is unknown.

Provenance

Source

huggingface, user Sandroeth.

Collection Method

Synthetically generated.

Freshness

Last updated in April 2026, indicating recent maintenance.

Geography

Language focus is Indonesian (Bahasa Indonesia); geographic coverage is not specified.