albertvillanova HF staff commited on
Commit
85045e0
1 Parent(s): e4763e5

Update loading script

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Files changed (1) hide show
  1. universal_dependencies.py +4 -7
universal_dependencies.py CHANGED
@@ -393,8 +393,8 @@ _DESCRIPTIONS = {
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  "wo_wtb": "UD_Wolof-WTB is a natively manual developed treebank for Wolof. Sentences were collected from encyclopedic, fictional, biographical, religious texts and news.",
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  "yo_ytb": "Parts of the Yoruba Bible and of the Yoruba edition of Wikipedia, hand-annotated natively in Universal Dependencies.",
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  }
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- _DATA_URL = "https://lindat.mff.cuni.cz/repository/xmlui/bitstream/handle/11234/1-3424/ud-treebanks-v2.7.tgz"
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- _DATA_URL = "data/ud-treebanks-v2.7.zip"
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  _PREFIX = "https://raw.githubusercontent.com/UniversalDependencies/"
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  _UD_DATASETS = {
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  "af_afribooms": {
@@ -1093,11 +1093,8 @@ class UniversalDependencies(datasets.GeneratorBasedBuilder):
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  def _split_generators(self, dl_manager):
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  """Returns SplitGenerators."""
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- data_dir = dl_manager.download_and_extract(_DATA_URL)
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- filepaths = {
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- split: os.path.join(data_dir, "ud-treebanks-v2.7", path)
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- for split, path in _UD_DATASETS[self.config.name].items()
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- }
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  return [
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  datasets.SplitGenerator(name=datasets.Split(split), gen_kwargs={"filepath": filepaths[split]})
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  for split in filepaths
 
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  "wo_wtb": "UD_Wolof-WTB is a natively manual developed treebank for Wolof. Sentences were collected from encyclopedic, fictional, biographical, religious texts and news.",
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  "yo_ytb": "Parts of the Yoruba Bible and of the Yoruba edition of Wikipedia, hand-annotated natively in Universal Dependencies.",
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  }
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+ # _DATA_URL = "https://lindat.mff.cuni.cz/repository/xmlui/bitstream/handle/11234/1-3424/ud-treebanks-v2.7.tgz"
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+ _DATA_URL = "data/ud-treebanks-v2.7/{config}.zip"
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  _PREFIX = "https://raw.githubusercontent.com/UniversalDependencies/"
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  _UD_DATASETS = {
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  "af_afribooms": {
 
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  def _split_generators(self, dl_manager):
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  """Returns SplitGenerators."""
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+ data_dir = dl_manager.download_and_extract(_DATA_URL.format(config=self.config.name))
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+ filepaths = {split: os.path.join(data_dir, path) for split, path in _UD_DATASETS[self.config.name].items()}
 
 
 
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  return [
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  datasets.SplitGenerator(name=datasets.Split(split), gen_kwargs={"filepath": filepaths[split]})
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  for split in filepaths