0n1xus commited on
Commit
49b5f32
1 Parent(s): 0ad2609

Update loader script

Browse files
Files changed (1) hide show
  1. pytorrent-standalone.py +6 -6
pytorrent-standalone.py CHANGED
@@ -39,7 +39,7 @@ _LICENSE = ""
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  # The HuggingFace dataset library don't host the datasets but only point to the original files
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  # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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  _URLs = {
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- 'all': "data.jsonl",
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  }
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@@ -57,14 +57,14 @@ class PyTorrentStandalone(datasets.GeneratorBasedBuilder):
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  # data = datasets.load_dataset('my_dataset', 'first_domain')
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  # data = datasets.load_dataset('my_dataset', 'second_domain')
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  BUILDER_CONFIGS = [
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- datasets.BuilderConfig(name="all", version=VERSION,
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  description="The corpus."),
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  ]
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- # DEFAULT_CONFIG_NAME = "all" # It's not mandatory to have a default configuration. Just use one if it make sense.
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  def _info(self):
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- if self.config.name == "all": # 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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  "repo": datasets.Value("string"),
@@ -101,7 +101,7 @@ class PyTorrentStandalone(datasets.GeneratorBasedBuilder):
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  # extracted is returned instead of the archive
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  my_urls = _URLs[self.config.name]
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  data_path = dl_manager.download_and_extract(my_urls)
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- if self.config.name == 'all':
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
@@ -109,7 +109,7 @@ class PyTorrentStandalone(datasets.GeneratorBasedBuilder):
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  gen_kwargs={
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  'data_path': data_path
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  }
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- )
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  ]
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  def _generate_examples(
 
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  # The HuggingFace dataset library don't host the datasets but only point to the original files
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  # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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  _URLs = {
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+ 'default': "data.jsonl",
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  }
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  # data = datasets.load_dataset('my_dataset', 'first_domain')
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  # data = datasets.load_dataset('my_dataset', 'second_domain')
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  BUILDER_CONFIGS = [
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+ datasets.BuilderConfig(name="default", version=VERSION,
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  description="The corpus."),
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  ]
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+ DEFAULT_CONFIG_NAME = "default" # It's not mandatory to have a default configuration. Just use one if it make sense.
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  def _info(self):
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+ if self.config.name == "default": # 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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  "repo": datasets.Value("string"),
 
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  # extracted is returned instead of the archive
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  my_urls = _URLs[self.config.name]
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  data_path = dl_manager.download_and_extract(my_urls)
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+ if self.config.name == 'default':
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  return [
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  datasets.SplitGenerator(
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  name=datasets.Split.TRAIN,
 
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  gen_kwargs={
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  'data_path': data_path
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  }
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+ ),
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  ]
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  def _generate_examples(