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  1. left.json +0 -0
  2. right.json +0 -0
  3. semi-heter.py +54 -0
  4. test.csv +414 -0
  5. train.csv +1240 -0
  6. valid.csv +414 -0
left.json ADDED
The diff for this file is too large to render. See raw diff
 
right.json ADDED
The diff for this file is too large to render. See raw diff
 
semi-heter.py ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ import os
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+ import datasets
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+ import pandas as pd
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+
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+
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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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+
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+
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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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+
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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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+
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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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+
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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 ADDED
@@ -0,0 +1,414 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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train.csv ADDED
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