Upload viznet.py
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viznet.py
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import json
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import os
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import datasets
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class ViznetConfig(datasets.BuilderConfig):
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def __init__(self, features, data_url, **kwargs):
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super(ViznetConfig, self).__init__(**kwargs)
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self.features = features
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self.data_url = data_url
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class Viznet(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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ViznetConfig(
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name="pairs",
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features={
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"source": datasets.Value("string"),
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"label": datasets.Value("string"),
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},
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data_url="https://huggingface.co/datasets/matchbench/viznet/resolve/main/viznet.tar.gz"
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),
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ViznetConfig(name="source", features={"column1": datasets.Value("string")}, data_url=None),
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ViznetConfig(name="target", features={"column1": datasets.Value("string")}, data_url=None),
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]
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def _info(self):
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return datasets.DatasetInfo(
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features=datasets.Features(self.config.features)
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)
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def _split_generators(self, dl_manager):
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if self.config.name == "pairs":
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path = dl_manager.download_and_extract(self.config.data_url)
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return [
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datasets.SplitGenerator(
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name=split,
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gen_kwargs={
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"source": os.path.join(path,
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f"viznet/{split}-source.json"),
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"label": os.path.join(path,
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f"viznet/{split}-source.json")
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}
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)
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for split in [
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datasets.Split.TRAIN,
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datasets.Split.VALIDATION,
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datasets.Split.TEST
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]
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]
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return []
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def _generate_examples(self, source, label):
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if self.config.name == "pairs":
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with open(source, "r") as f:
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source = json.load(f)
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with open(label, "r") as f:
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label = json.load(f)
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assert len(source) == len(label)
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for i in range(len(source)):
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yield i, {
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"source": json.dumps(source[i]),
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"label": json.dumps(label[i]),
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}
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