nanakonoda commited on
Commit
0113daf
1 Parent(s): f67fab3

updated loading script

Browse files
Files changed (1) hide show
  1. xnli_cm.py +6 -2
xnli_cm.py CHANGED
@@ -49,6 +49,10 @@ _LICENSE = ""
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  # The HuggingFace Datasets library doesn't host the datasets but only points 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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  "fr_ec":
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  {"train" : "data/fr_ec/train.tsv",
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  "test" : "data/fr_ec/test.tsv"
@@ -68,7 +72,6 @@ _URLS = {
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  }
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-
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  # TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
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  class XnliCodeMixed(datasets.GeneratorBasedBuilder):
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  """XNLI Corpus in English, German, and French"""
@@ -88,13 +91,14 @@ class XnliCodeMixed(datasets.GeneratorBasedBuilder):
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  # data = datasets.load_dataset('my_dataset', 'second_domain')
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  BUILDER_CONFIGS = [
 
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  datasets.BuilderConfig("fr_ec", version=VERSION, description="French-English code mixed dataset using Equivalence Constraint Theory"),
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  datasets.BuilderConfig("fr_ml", version=VERSION, description="French-English code mixed dataset using Matrix Language Theory"),
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  datasets.BuilderConfig("de_ec", version=VERSION, description="German-English code mixed dataset using Equivalence Constraint Theory"),
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  datasets.BuilderConfig("de_ml", version=VERSION, description="German-English code mixed dataset using Matrix Language Theory"),
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  ]
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- DEFAULT_CONFIG_NAME = "fr_ec" # 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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  # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
 
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  # The HuggingFace Datasets library doesn't host the datasets but only points 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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+ "monolingual":
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+ {"train" : "data/monolingual/train.tsv",
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+ "test" : "data/monolingual/test.tsv"
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+ },
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  "fr_ec":
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  {"train" : "data/fr_ec/train.tsv",
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  "test" : "data/fr_ec/test.tsv"
 
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  }
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  # TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
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  class XnliCodeMixed(datasets.GeneratorBasedBuilder):
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  """XNLI Corpus in English, German, and French"""
 
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  # data = datasets.load_dataset('my_dataset', 'second_domain')
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  BUILDER_CONFIGS = [
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+ datasets.BuilderConfig("monolingual", version=VERSION, description="Monolingual dataset"),
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  datasets.BuilderConfig("fr_ec", version=VERSION, description="French-English code mixed dataset using Equivalence Constraint Theory"),
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  datasets.BuilderConfig("fr_ml", version=VERSION, description="French-English code mixed dataset using Matrix Language Theory"),
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  datasets.BuilderConfig("de_ec", version=VERSION, description="German-English code mixed dataset using Equivalence Constraint Theory"),
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  datasets.BuilderConfig("de_ml", version=VERSION, description="German-English code mixed dataset using Matrix Language Theory"),
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  ]
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+ DEFAULT_CONFIG_NAME = "monolingual" # 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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  # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset