yonatanbitton commited on
Commit
f2886d8
1 Parent(s): ae16501

Update winogavil.py

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Files changed (1) hide show
  1. winogavil.py +5 -13
winogavil.py CHANGED
@@ -96,21 +96,13 @@ class Winogavil(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.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, "winogavil_dataset.csv"),
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- "split": "test",
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- },
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- )
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- ]
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  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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- def _generate_examples(self, filepath, split):
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  print('winogavil.py _generate_examples')
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  # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
 
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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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+ data_dir = dl_manager.download_and_extract({
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+ "examples_csv": hf_hub_url("datasets/nlphuji/winogavil", filename="winogavil_dataset.csv")})
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+
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+ return [datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs=downloaded_files)]
 
 
 
 
 
 
 
 
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  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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+ def _generate_examples(self, examples_csv):
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  print('winogavil.py _generate_examples')
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  # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.