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Upload plue.py

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  1. plue.py +41 -5
plue.py CHANGED
@@ -52,13 +52,14 @@ PLUE: Portuguese Language Understanding Evaluationis a Portuguese translation of
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  the GLUE benchmark and Scitail using OPUS-MT model and Google Cloud Translation.
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  """
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- MNLI_URL = "https://github.com/jubs12/PLUE/releases/download/v1.0.0/MNLI.zip"
 
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  _MNLI_BASE_KWARGS = dict(
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  text_features={"premise": "sentence1", "hypothesis": "sentence2",},
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  label_classes=["entailment", "neutral", "contradiction"],
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  label_column="gold_label",
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- data_dir="PLUE-1.0.1/datasets/MNLI",
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  citation=textwrap.dedent(
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  """\
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  @InProceedings{N18-1101,
@@ -123,12 +124,14 @@ class PlueConfig(datasets.BuilderConfig):
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  **kwargs: keyword arguments forwarded to super.
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  """
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  super(PlueConfig, self).__init__(
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- version=datasets.Version("1.0.0", ""), **kwargs
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  )
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  self.text_features = text_features
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  self.label_column = label_column
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  self.label_classes = label_classes
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- self.data_url = "https://github.com/jubs12/PLUE/archive/refs/tags/v1.0.1.zip"
 
 
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  self.data_dir = data_dir
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  self.citation = citation
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  self.url = url
@@ -259,6 +262,33 @@ class Plue(datasets.GeneratorBasedBuilder):
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  url="http://ixa2.si.ehu.es/stswiki/index.php/STSbenchmark",
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  process_label=np.float32,
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  ),
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  PlueConfig(
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  name="mnli",
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  description=textwrap.dedent(
@@ -454,7 +484,13 @@ with neutral label"""
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  )
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  def _split_generators(self, dl_manager):
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- data_url = MNLI_URL if self.config.name == "mnli" else self.config.data_url
 
 
 
 
 
 
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  dl_dir = dl_manager.download_and_extract(data_url)
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  data_dir = os.path.join(dl_dir, self.config.data_dir)
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  the GLUE benchmark and Scitail using OPUS-MT model and Google Cloud Translation.
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  """
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+ MNLI_URL = "https://github.com/ju-resplande/PLUE/releases/download/v1.0.0/MNLI.zip"
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+ SNLI_URL = "https://github.com/ju-resplande/PLUE/releases/download/v1.0.0/SNLI.zip"
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  _MNLI_BASE_KWARGS = dict(
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  text_features={"premise": "sentence1", "hypothesis": "sentence2",},
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  label_classes=["entailment", "neutral", "contradiction"],
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  label_column="gold_label",
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+ data_dir="MNLI",
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  citation=textwrap.dedent(
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  """\
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  @InProceedings{N18-1101,
 
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  **kwargs: keyword arguments forwarded to super.
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  """
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  super(PlueConfig, self).__init__(
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+ version=datasets.Version("1.0.2", ""), **kwargs
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  )
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  self.text_features = text_features
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  self.label_column = label_column
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  self.label_classes = label_classes
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+ self.data_url = (
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+ "https://github.com/ju-resplande/PLUE/archive/refs/tags/v1.0.1.zip"
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+ )
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  self.data_dir = data_dir
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  self.citation = citation
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  self.url = url
 
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  url="http://ixa2.si.ehu.es/stswiki/index.php/STSbenchmark",
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  process_label=np.float32,
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  ),
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+ PlueConfig(
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+ name="snli",
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+ description=textwrap.dedent(
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+ """\
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+ The SNLI corpus (version 1.0) is a collection of 570k human-written English
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+ sentence pairs manually labeled for balanced classification with the labels
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+ entailment, contradiction, and neutral, supporting the task of natural language
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+ inference (NLI), also known as recognizing textual entailment (RTE).
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+ """
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+ ),
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+ text_features={"premise": "sentence1", "hypothesis": "sentence2",},
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+ label_classes=["entailment", "neutral", "contradiction"],
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+ label_column="gold_label",
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+ data_dir="SNLI",
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+ citation=textwrap.dedent(
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+ """\
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+ @inproceedings{snli:emnlp2015,
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+ Author = {Bowman, Samuel R. and Angeli, Gabor and Potts, Christopher, and Manning, Christopher D.},
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+ Booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
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+ Publisher = {Association for Computational Linguistics},
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+ Title = {A large annotated corpus for learning natural language inference},
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+ Year = {2015}
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+ }
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+ """
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+ ),
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+ url="https://nlp.stanford.edu/projects/snli/",
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+ ),
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  PlueConfig(
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  name="mnli",
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  description=textwrap.dedent(
 
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  )
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  def _split_generators(self, dl_manager):
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+ if self.config.name == "mnli":
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+ data_url = MNLI_URL
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+ elif self.config.name == "snli":
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+ data_url = SNLI_URL
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+ else:
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+ data_url = self.config.data_url
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+
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  dl_dir = dl_manager.download_and_extract(data_url)
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  data_dir = os.path.join(dl_dir, self.config.data_dir)
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