Synthetic Handwritten Calculus Expressions for LaTeX OCR

A processed version of the Aida Calculus Math Handwriting Recognition Dataset, tailored for image-to-LaTeX modeling. The dataset comprises synthetic handwritten calculus expressions, with each image annotated by a ground truth LaTeX sequence. Author 'deepcopy' published this downsampled version on Hugging Face, last updated on June 20, 2025.

Use Cases

• Training image-to-LaTeX sequence models based on the synthetic handwritten expressions.
• Benchmarking handwriting recognition systems for mathematical content based on the calculus expressions.
• Developing educational tools that can digitize handwritten math work based on the image-to-LaTeX annotations.

Strengths

• Dataset is specifically tailored for image-to-LaTeX modeling, a concrete task.
• Contains ground truth annotations for each synthetic handwritten image.
• Last updated on June 20, 2025, indicating recent maintenance.

Limitations

• Row count, file formats, and column-level documentation are unknown, which may limit suitability assessment.
• Data is synthetic, which may not fully capture the variability of real human handwriting.
• License information is unknown, which could restrict usage.

Provenance

Source

Hugging Face, author 'deepcopy'.

Collection Method

Synthetic generation and processing of the original Aida dataset.

Time Range

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Freshness

Last updated 2025-06-20 10:21:50.

Geography

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