Severine commited on
Commit
12a7afa
1 Parent(s): b434deb
Files changed (1) hide show
  1. SuperLim.py +10 -12
SuperLim.py CHANGED
@@ -170,15 +170,14 @@ class SuperLim(datasets.GeneratorBasedBuilder):
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  DEFAULT_CONFIG_NAME = "swewic" # It's not mandatory to have a default configuration. Just use one if it make sense.
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- """ TODO
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  def _info(self):
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  # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
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- if self.config.name == "first_domain": # This is the name of the configuration selected in BUILDER_CONFIGS above
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  features = datasets.Features(
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  {
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- "sentence": datasets.Value("string"),
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- "option1": datasets.Value("string"),
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- "answer": datasets.Value("string")
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  # These are the features of your dataset like images, labels ...
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  }
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  )
@@ -206,7 +205,7 @@ class SuperLim(datasets.GeneratorBasedBuilder):
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  # Citation for the dataset
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  citation=_CITATION,
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  )
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- """
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  def _split_generators(self, dl_manager):
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  # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
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  # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
@@ -243,7 +242,7 @@ class SuperLim(datasets.GeneratorBasedBuilder):
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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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  # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
@@ -251,12 +250,11 @@ class SuperLim(datasets.GeneratorBasedBuilder):
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  with open(filepath, encoding="utf-8") as f:
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  for key, row in enumerate(f):
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  data = json.loads(row)
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- if self.config.name == "first_domain":
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  # Yields examples as (key, example) tuples
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  yield key, {
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- "sentence": data["sentence"],
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- "option1": data["option1"],
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- "answer": "" if split == "test" else data["answer"],
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  }
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  else:
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  yield key, {
@@ -264,4 +262,4 @@ class SuperLim(datasets.GeneratorBasedBuilder):
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  "option2": data["option2"],
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  "second_domain_answer": "" if split == "test" else data["second_domain_answer"],
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  }
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- """
 
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  DEFAULT_CONFIG_NAME = "swewic" # It's not mandatory to have a default configuration. Just use one if it make sense.
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+
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  def _info(self):
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  # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
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+ if self.config.name == "dalaj": # This is the name of the configuration selected in BUILDER_CONFIGS above
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  features = datasets.Features(
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  {
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+ "original sentence": datasets.Value("string"),
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+ "corrected sentence": datasets.Value("string")
 
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  # These are the features of your dataset like images, labels ...
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  }
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  )
 
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  # Citation for the dataset
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  citation=_CITATION,
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  )
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+
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  def _split_generators(self, dl_manager):
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  # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
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  # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
 
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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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  # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
 
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  with open(filepath, encoding="utf-8") as f:
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  for key, row in enumerate(f):
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  data = json.loads(row)
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+ if self.config.name == "dalaj":
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  # Yields examples as (key, example) tuples
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  yield key, {
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+ "original sentence": data["original sentence"],
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+ "correct sentence": data["corrected sentence"],
 
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  }
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  else:
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  yield key, {
 
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  "option2": data["option2"],
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  "second_domain_answer": "" if split == "test" else data["second_domain_answer"],
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  }
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+