OCR Finetune Example: Format Specification for Surya OCR Model Training

An example dataset specifying the required format for finetuning the Surya optical character recognition model. It was created by datalab-to and last updated on August 8, 2025. The dataset description outlines the need for paired image and text columns, with specific markup for mathematical content.

Use Cases

• Fine-tuning the Surya OCR model based on the described image-text pair format.
• Creating training data for OCR on documents containing mathematical equations based on the requirement for LaTeX markup.
• Testing OCR pipeline compatibility with mixed aspect ratio images as mentioned in the description.
• Preparing data for multilingual or complex layout OCR tasks, inferred from the platform's general use.

Strengths

• Provides explicit formatting guidelines for image and text columns, including special handling for mathematical content.
• Directly linked to the Surya OCR model, suggesting a practical application context.
• Last update timestamp of 2025-08-08 20:26:20 is provided.

Limitations

• Row count, file formats, and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred from the high-level description.
• Description metadata is limited; actual data quality and content require manual inspection after download.

Provenance

Source

datalab-to on Hugging Face

Collection Method

Created as an example format specification, likely manually curated.

Freshness

Last updated 2025-08-08 20:26:20.