Datasets:
Size:
10K<n<100K
License:
test split
Browse files- tomatotest.py +8 -3
tomatotest.py
CHANGED
@@ -8,7 +8,11 @@ class CustomConfig(datasets.BuilderConfig):
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def __init__(self, **kwargs):
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super(CustomConfig, self).__init__(**kwargs)
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self.dataset_type = kwargs.pop("name", "all")
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-
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class RGBSemanticDepthDataset(GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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@@ -51,19 +55,20 @@ class RGBSemanticDepthDataset(GeneratorBasedBuilder):
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def _split_generators(self, dl_manager):
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archives = dl_manager.download({"train":["data/images_1730238419.175364.tar"]})
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return [
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SplitGenerator(
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name=Split.TRAIN,
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gen_kwargs={
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"archives": [dl_manager.iter_archive(archive) for archive in archives],
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-
"split_txt": "
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},
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),
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SplitGenerator(
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name=Split.VALIDATION,
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gen_kwargs={
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"archives": [dl_manager.iter_archive(archive) for archive in archives],
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-
"split_txt": "
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},
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),
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]
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def __init__(self, **kwargs):
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super(CustomConfig, self).__init__(**kwargs)
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self.dataset_type = kwargs.pop("name", "all")
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+
_metadata_urls = {
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"train":"https://huggingface.co/datasets/XingjianLi/tomatotest/blob/main/train.txt",
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"val":"https://huggingface.co/datasets/XingjianLi/tomatotest/blob/main/val.txt"
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+
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}
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class RGBSemanticDepthDataset(GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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def _split_generators(self, dl_manager):
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archives = dl_manager.download({"train":["data/images_1730238419.175364.tar"]})
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+
split_metadata = dl_manager.download(_metadata_urls)
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return [
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SplitGenerator(
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name=Split.TRAIN,
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gen_kwargs={
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"archives": [dl_manager.iter_archive(archive) for archive in archives],
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"split_txt": split_metadata["train"]
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},
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),
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SplitGenerator(
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name=Split.VALIDATION,
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gen_kwargs={
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"archives": [dl_manager.iter_archive(archive) for archive in archives],
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+
"split_txt": split_metadata["val"]
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},
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),
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]
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