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  ---
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  license: apache-2.0
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  license: apache-2.0
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  ---
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+
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+ # OCRFlux-pubtabnet-single
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+ OCRFlux-pubtabnet-single is a benchmark of 9064 table images and their corresponding ground-truth HTML, which are derived from the public [PubTabNet](https://github.com/ibm-aur-nlp/PubTabNet) benchmark with some format transformations.
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+
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+ This dataset can be used to measure the performance of OCR systems in single-page table parsing.
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+
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+ Quick links:
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+ - 🤗 [Model](https://huggingface.co/ChatDOC/OCRFlux-3B)
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+ - 🛠️ [Code](https://github.com/chatdoc-com/OCRFlux)
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+
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+ ## Data Mix
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+
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+ ## Table 1: Tables breakdown by complexity (whether they contain rowspan or colspan cells)
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+ | Complexity | Number |
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+ |--------|-------------|
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+ | Simple | 4623 |
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+ | Complex | 4441 |
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+ | **Total** | **9064** |
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+
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+
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+ ## Data Format
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+
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+ Each row in the dataset corresponds to a table image and its corresponding ground-truth HTML.
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+
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+ Different from the original PubTabNet dataset, we do not distinguish cells in the table headers and table bodies, which means there are no `<thead>` and `<tbody>` tags, and all `<th>` tags are replaced by `<td>` tags.
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+
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+ ### Features:
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+ ```python
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+ {
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+ 'image_name': string, # Name of the table image
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+ 'type': string, # "simple" or "complex"
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+ 'gt_table': string, # Ground-truth HTML of the table
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+ }
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+ ```
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+
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+ ## License
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+ This dataset is licensed under Apache-2.0.
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