Severine commited on
Commit
e57a100
1 Parent(s): db3ac8c
Files changed (1) hide show
  1. SuperLim.py +6 -5
SuperLim.py CHANGED
@@ -211,15 +211,16 @@ class SuperLim(datasets.GeneratorBasedBuilder):
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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(os.path.join(_URL,_TASKS[self.config.name]))
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- #data_dir = os.path.join(data_dir,self.config.name)
 
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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(_URL,_TASKS[self.config.name], "train.csv"),
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  "split": "train",
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  },
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  ),
@@ -227,7 +228,7 @@ class SuperLim(datasets.GeneratorBasedBuilder):
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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(_URL,_TASKS[self.config.name], "test.csv"),
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  "split": "test"
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  },
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  ),
@@ -235,7 +236,7 @@ class SuperLim(datasets.GeneratorBasedBuilder):
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  name=datasets.Split.VALIDATION,
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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(_URL,_TASKS[self.config.name], "dev.csv"),
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  "split": "dev",
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  },
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  ),
 
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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_test = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],"test.csv"))
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+ data_dir_train = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],"train.csv"))
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+ data_dir_dev = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],"dev.csv"))
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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": data_dir_train,
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  "split": "train",
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  },
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  ),
 
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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": data_dir_test,
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  "split": "test"
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  },
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  ),
 
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  name=datasets.Split.VALIDATION,
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  # These kwargs will be passed to _generate_examples
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  gen_kwargs={
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+ "filepath": data_dir_dev,
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  "split": "dev",
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  },
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  ),