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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.Sequence(datasets.Value("string")), |
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}, |
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data_url="https://huggingface.co/datasets/matchbench/viznet/resolve/main/viznet.zip" |
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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}-label.json") |
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} |
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) |
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for split in [ |
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"train", |
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"valid", |
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"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": source[i], |
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"label": label[i], |
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} |