Datasets:
Commit
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a547a27
1
Parent(s):
d6602af
Update DocLayNet-small.py
Browse files- DocLayNet-small.py +7 -6
DocLayNet-small.py
CHANGED
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@@ -98,14 +98,15 @@ class DocLayNet(datasets.GeneratorBasedBuilder):
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# You will be able to load one or the other configurations in the following list with
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# data = datasets.load_dataset('my_dataset', 'first_domain')
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# data = datasets.load_dataset('my_dataset', 'second_domain')
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BUILDER_CONFIGS = [
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DocLayNetBuilderConfig(name=
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]
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BUILDER_CONFIG_CLASS = DocLayNetBuilderConfig
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DEFAULT_CONFIG_NAME = "DocLayNet_2022.08_processed_on_2023.01" # It's not mandatory to have a default configuration. Just use one if it make sense.
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def _info(self):
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features = datasets.Features(
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@@ -166,7 +167,7 @@ class DocLayNet(datasets.GeneratorBasedBuilder):
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(downloaded_file, "small_dataset/train/"),
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"
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},
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),
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datasets.SplitGenerator(
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@@ -174,7 +175,7 @@ class DocLayNet(datasets.GeneratorBasedBuilder):
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(downloaded_file, "small_dataset/val/"),
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"
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},
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),
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datasets.SplitGenerator(
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@@ -182,7 +183,7 @@ class DocLayNet(datasets.GeneratorBasedBuilder):
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(downloaded_file, "small_dataset/test/"),
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"
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},
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),
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]
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# You will be able to load one or the other configurations in the following list with
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# data = datasets.load_dataset('my_dataset', 'first_domain')
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# data = datasets.load_dataset('my_dataset', 'second_domain')
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+
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+
DEFAULT_CONFIG_NAME = "DocLayNet_2022.08_processed_on_2023.01" # It's not mandatory to have a default configuration. Just use one if it make sense.
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+
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BUILDER_CONFIGS = [
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DocLayNetBuilderConfig(name=DEFAULT_CONFIG_NAME, version=VERSION, description="DocLayNeT small dataset"),
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]
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BUILDER_CONFIG_CLASS = DocLayNetBuilderConfig
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def _info(self):
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features = datasets.Features(
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(downloaded_file, "small_dataset/train/"),
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"split_key": "train",
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},
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),
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datasets.SplitGenerator(
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(downloaded_file, "small_dataset/val/"),
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"split_key": "validation",
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},
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),
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datasets.SplitGenerator(
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": os.path.join(downloaded_file, "small_dataset/test/"),
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"split_key": "test"
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},
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),
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]
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