mlebench/competitions/herbarium-2020-fgvc7/prepare.py [106:118]:
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    new_train_metadata.update(
        {
            "annotations": [],
            "images": [],
        }
    )
    with tqdm(
        desc="Creating new train dataset",
        total=train_sample_count,
    ) as pbar:
        for category_id, annotations_images in train_annotations_images_by_category.items():
            # Create a nested directory from category_id, e.g. 15504 -> "155/04" or 3 -> "000/03"
            category_subdir = f"{category_id // 100:03d}/{category_id % 100:02d}"
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mlebench/competitions/herbarium-2022-fgvc9/prepare.py [84:96]:
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    new_train_metadata.update(
        {
            "annotations": [],
            "images": [],
        }
    )
    with tqdm(
        desc="Creating new train dataset",
        total=train_sample_count,
    ) as pbar:
        for category_id, annotations_images in train_annotations_images_by_category.items():
            # Create a nested directory from category_id, e.g. 15504 -> "155/04" or 3 -> "000/03"
            category_subdir = f"{category_id // 100:03d}/{category_id % 100:02d}"
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