Datasets:
Delete FinDoc-Robust.py
Browse files- FinDoc-Robust.py +0 -48
FinDoc-Robust.py
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import os
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import json
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import datasets
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class FinDocRobust(datasets.GeneratorBasedBuilder):
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def _info(self):
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return datasets.DatasetInfo(
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features=datasets.Features({
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"file_name": datasets.Image(),
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"document_type": datasets.Value("string"),
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"document_id": datasets.Value("int64"),
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"clean_pdf": datasets.Value("string"),
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"clean_xlsx": datasets.Value("string"),
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"clean_bbox_px": datasets.Value("string"),
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"clean_bbox_pdf_pt": datasets.Value("string"),
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**{f"dirty_{i}_image": datasets.Image() for i in range(1, 6)},
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**{f"dirty_{i}_bbox": datasets.Value("string") for i in range(1, 6)}
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})
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)
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def _split_generators(self, dl_manager):
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# Скачиваем индексный файл и весь репозиторий
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meta_path = dl_manager.download_and_extract("dataset_index.csv")
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archive_path = dl_manager.download_and_extract(".")
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={"meta_path": meta_path, "base_path": archive_path}
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)
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]
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def _generate_examples(self, meta_path, base_path):
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import pandas as pd
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df = pd.read_csv(meta_path)
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for idx, row in df.iterrows():
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res = {
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"file_name": os.path.join(base_path, row["file_name"]),
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"document_type": row["document_type"],
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"document_id": int(row["document_id"]),
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"clean_pdf": row["clean_pdf"],
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"clean_xlsx": row["clean_xlsx"],
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"clean_bbox_px": row["clean_bbox_px"],
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"clean_bbox_pdf_pt": row["clean_bbox_pdf_pt"]
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}
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for i in range(1, 6):
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res[f"dirty_{i}_image"] = os.path.join(base_path, row[f"dirty_{i}_image"])
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res[f"dirty_{i}_bbox"] = row[f"dirty_{i}_bbox"]
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yield idx, res
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