Upload 6 files
Browse files- left.json +0 -0
- right.json +0 -0
- semi-heter.py +54 -0
- test.csv +414 -0
- train.csv +1240 -0
- valid.csv +414 -0
left.json
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right.json
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semi-heter.py
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import os
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import datasets
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import pandas as pd
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class semiHeterConfig(datasets.BuilderConfig):
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def __init__(self, features, data_url, **kwargs):
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super(semiHeterConfig, self).__init__(**kwargs)
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self.features = features
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self.data_url = data_url
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class semiHeter(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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semiHeterConfig(
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name="pairs",
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features={
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"ltable_id": datasets.Value("string"),
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"rtable_id": 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/semi-heter/resolve/main/",
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),
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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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return [
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datasets.SplitGenerator(
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name=split,
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gen_kwargs={
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"path_file": dl_manager.download_and_extract(
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os.path.join(self.config.data_url, f"{split}.csv")),
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"split": split,
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}
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)
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for split in ["train", "valid", "test"]
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]
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def _generate_examples(self, path_file, split):
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file = pd.read_csv(path_file)
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for i, row in file.iterrows():
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if split in ['train', 'valid','test']:
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yield i, {
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"ltable_id": row["ltable_id"],
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"rtable_id": row["rtable_id"],
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"label": row["label"],
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}
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test.csv
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train.csv
ADDED
@@ -0,0 +1,1240 @@
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