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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 8961757.0 |
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num_examples: 4 |
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download_size: 8964031 |
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dataset_size: 8961757.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# Example Dataset for Surya OCR Finetuning |
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This dataset is an example that lays out the expected format for finetuning Surya OCR. |
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## Data Requirements |
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Image column: The input images (full pages, blocks, or single text lines — mix freely). |
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Text column: The transcription corresponding to each image. |
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For math content, ensure <math display="inline"></math> or <math display="block"></math> tags are wrapped around the latex |
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## Surya OCR supports: |
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Various aspect ratios |
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Different image types and qualities |
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Full-page documents |
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Cropped blocks of text |
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Single-line snippets |
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The base surya model is trained on a wide range of samples from all these categories, and you can combine any of these types in your training dataset for more robust performance, as demonstrated in this example dataset. |
