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Upload PAIR.py

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  1. PAIR.py +11 -11
PAIR.py CHANGED
@@ -109,22 +109,22 @@ class PAIRDataset(datasets.GeneratorBasedBuilder):
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  # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
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  # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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  # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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- urls = _URLS[self.config.name]
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- data_dir = dl_manager.download_and_extract(urls)
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  return [
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- datasets.SplitGenerator(
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- name=datasets.Split.TRAIN,
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- # These kwargs will be passed to _generate_examples
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- gen_kwargs={
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- "filepath": os.path.join(data_dir, "train.json"),
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- "split": "train",
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- },
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- ),
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  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
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  # These kwargs will be passed to _generate_examples
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  gen_kwargs={
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- "filepath": os.path.join(data_dir, "test.json"),
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  "split": "test"
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  },
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  ),
 
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  # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
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  # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
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  # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
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+ # urls = _URLS[self.config.name]
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+ #data_dir = dl_manager.download_and_extract(urls)
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  return [
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+ # datasets.SplitGenerator(
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+ # name=datasets.Split.TRAIN,
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+ # # These kwargs will be passed to _generate_examples
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+ ### gen_kwargs={
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+ # "filepath": os.path.join(data_dir, "train.json"),
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+ # "split": "train",
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+ # },
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+ # ),
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  datasets.SplitGenerator(
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  name=datasets.Split.TEST,
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  # These kwargs will be passed to _generate_examples
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  gen_kwargs={
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+ "filepath": "test.json", #os.path.join(data_dir, "test.json"),
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  "split": "test"
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  },
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  ),