MathCanvas-Instruct: 219K Visual-Textual Math Reasoning Examples

MathCanvas-Instruct is a fine-tuning dataset with 219,000 examples of interleaved visual-textual reasoning paths. It was created by author shiwk24 and serves as the core component for the Strategic Visual-Aided Reasoning phase of the MathCanvas framework. The dataset was last updated on Hugging Face on November 18, 2025.

Use Cases

• Fine-tuning large language models for mathematical problem-solving based on the described interleaved reasoning paths.
• Training multimodal AI agents on visual-aided reasoning tasks referenced in the dataset's framework.
• Benchmarking model performance on strategic reasoning that combines textual and visual information.
• Developing educational AI tools that can generate or follow step-by-step math solutions.

Strengths

• Contains 219,000 examples, which is a substantial scale for fine-tuning.
• Described as a high-quality, core component of a published framework (MathCanvas).
• Focuses on interleaved visual-textual reasoning, a specific and structured data type.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is known, but other scale details like file size and formats are unknown.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

shiwk24 on Hugging Face.

Collection Method

Likely constructed as part of the MathCanvas framework for Strategic Visual-Aided Reasoning.

Freshness

Last updated 2025-11-18 09:25:33; freshness should be verified.