Datasets:
Commit
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048e3df
1
Parent(s):
e6b0f00
Update DocLayNet-large.py
Browse files- DocLayNet-large.py +30 -28
DocLayNet-large.py
CHANGED
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@@ -164,47 +164,49 @@ class DocLayNet(datasets.GeneratorBasedBuilder):
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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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archive_path = dl_manager.download_and_extract(_URLs)
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# downloaded_file = dl_manager.download_and_extract("https://huggingface.co/datasets/pierreguillou/DocLayNet-large/resolve/main/data/part_dataset_3.zip")
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath_0":
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"filepath_1":
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"filepath_2":
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"filepath_3":
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"split": "train",
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},
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)
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name=datasets.Split.VALIDATION,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath_0":
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"filepath_1":
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"filepath_2":
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"filepath_3":
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"split": "
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},
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)
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name=datasets.Split.TEST,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath_0":
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"filepath_1":
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"filepath_2":
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"filepath_3":
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"split": "test"
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},
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)
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def _generate_examples(self, filepath_0, filepath_1, filepath_2, filepath_3, split):
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filepath = (filepath_0, filepath_1, filepath_2, filepath_3)
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# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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archive_path = dl_manager.download_and_extract(_URLs)
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splits = []
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for split in self.config.splits:
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if split == "train":
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dataset = datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath_0": os.path.join(archive_path["part_dataset_0"], "part_dataset_0/train/"),
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"filepath_1": os.path.join(archive_path["part_dataset_1"], "part_dataset_1/train/"),
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"filepath_2": os.path.join(archive_path["part_dataset_2"], "part_dataset_2/train/"),
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"filepath_3": os.path.join(archive_path["part_dataset_3"], "part_dataset_3/train/"),
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"split": "train",
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},
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)
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elif split in ["val", "valid", "validation", "dev"]:
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dataset = datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath_0": os.path.join(archive_path["part_dataset_0"], "part_dataset_0/val/"),
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"filepath_1": os.path.join(archive_path["part_dataset_1"], "part_dataset_1/val/"),
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"filepath_2": os.path.join(archive_path["part_dataset_2"], "part_dataset_2/val/"),
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"filepath_3": os.path.join(archive_path["part_dataset_3"], "part_dataset_3/val/"),
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"split": "val",
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},
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)
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elif split in ["test"]:
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dataset = datasets.SplitGenerator(
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name=datasets.Split.TEST,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath_0": os.path.join(archive_path["part_dataset_0"], "part_dataset_0/test/"),
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"filepath_1": os.path.join(archive_path["part_dataset_1"], "part_dataset_1/test/"),
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"filepath_2": os.path.join(archive_path["part_dataset_2"], "part_dataset_2/test/"),
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"filepath_3": os.path.join(archive_path["part_dataset_3"], "part_dataset_3/test/"),
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"split": "test",
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},
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)
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else:
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continue
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splits.append(dataset)
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return splits
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def _generate_examples(self, filepath_0, filepath_1, filepath_2, filepath_3, split):
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filepath = (filepath_0, filepath_1, filepath_2, filepath_3)
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