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OCRFlux-pubtabnet-single

OCRFlux-pubtabnet-single is a benchmark of 9064 table images and their corresponding ground-truth HTML, which are derived from the public PubTabNet benchmark with some format transformations.

This dataset can be used to measure the performance of OCR systems in single-page table parsing.

Quick links:

🤗 Model
🛠️ Code

Data Mix

Table 1: Tables breakdown by complexity (whether they contain rowspan or colspan cells)

Complexity	Number
Simple	4623
Complex	4441
Total	9064

Data Format

Each row in the dataset corresponds to a table image and its corresponding ground-truth HTML.

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.

Features:

{
    'image_name': string,         # Name of the table image
    'type': string,         # "simple" or "complex"
    'gt_table': string,           # Ground-truth HTML of the table
}

License

This dataset is licensed under Apache-2.0.