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--- |
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license: mit |
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task_categories: |
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- table-question-answering |
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language: |
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- en |
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tags: |
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- OCR |
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- Tables |
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- IDP |
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size_categories: |
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- n<1K |
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--- |
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This dataset is generated syhthetically to create tables with following characteristics: |
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1. Empty cell percentage in following range [40,70] (Sparse) |
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2. There is no seperator between rows and columns (un-structured). |
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3. 4 <= num rows <= 10, 2 <= num columns <= 6 (Small) |
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### Load the dataset |
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```python |
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import io |
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import pandas as pd |
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from PIL import Image |
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def bytes_to_image(self, image_bytes: bytes): |
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return Image.open(io.BytesIO(image_bytes)) |
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def parse_annotations(self, annotations: str) -> pd.DataFrame: |
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return pd.read_json(StringIO(annotations), orient="records") |
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test_data = load_dataset('nanonets/small_sparse_unstructured_table', split='test') |
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data_point = test_data[0] |
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image, gt_table = ( |
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bytes_to_image(data_point["images"]), |
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parse_annotations(data_point["annotation"]), |
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) |
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``` |
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