Aashraya Sachdeva commited on
Commit
30fb2a7
·
1 Parent(s): 8788221

add micro to macro mapping

Browse files
Files changed (1) hide show
  1. multiconer2.py +83 -0
multiconer2.py CHANGED
@@ -75,6 +75,76 @@ class Multiconer2(datasets.GeneratorBasedBuilder):
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  DEFAULT_CONFIG_NAME = "en"
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  def _info(self):
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  return datasets.DatasetInfo(
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  description=_DESCRIPTION,
@@ -120,6 +190,18 @@ class Multiconer2(datasets.GeneratorBasedBuilder):
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  'B-WrittenWork', 'I-WrittenWork']
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  )
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  ),
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  ),
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  supervised_keys=None,
@@ -168,4 +250,5 @@ class Multiconer2(datasets.GeneratorBasedBuilder):
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  "id": str(guid),
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  "tokens": tokens,
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  "ner_tags": ner_tags,
 
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  }
 
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  DEFAULT_CONFIG_NAME = "en"
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+ micro_to_macro_ner_mapping = {
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+ 'O': "O",
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+ "B-AerospaceManufacturer": "B-Group",
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+ 'I-AerospaceManufacturer': 'I-Group',
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+ 'B-AnatomicalStructure': "B-Medical",
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+ 'I-AnatomicalStructure': "I-Medical",
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+ 'B-ArtWork': "B-CreativeWork",
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+ 'I-ArtWork': "I-CreativeWork",
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+ 'B-Artist': "B-Person",
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+ 'I-Artist': "I-Person",
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+ 'B-Athlete': "B-Person",
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+ 'I-Athlete': "I-Person",
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+ 'B-CarManufacturer': "B-Group",
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+ 'I-CarManufacturer': "I-Group",
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+ 'B-Cleric': "B-Person",
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+ 'I-Cleric': "I-Person",
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+ 'B-Clothing': "B-Product",
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+ 'I-Clothing': "I-Product",
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+ 'B-Disease': "B-Medical",
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+ 'I-Disease': "I-Medical",
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+ 'B-Drink': "B-Product",
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+ 'I-Drink': "I-Product",
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+ 'B-Facility': "B-Location",
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+ 'I-Facility': "I-Location",
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+ 'B-Food': "B-Product",
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+ 'I-Food': "I-Product",
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+ 'B-HumanSettlement': "B-Location",
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+ 'I-HumanSettlement': "I-Location",
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+ 'B-MedicalProcedure': "B-Medical",
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+ 'I-MedicalProcedure': "I-Medical",
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+ 'B-Medication/Vaccine': "B-Medical",
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+ 'I-Medication/Vaccine': "I-Medical",
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+ 'B-MusicalGRP': "B-Group",
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+ 'I-MusicalGRP': "I-Group",
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+ 'B-MusicalWork': "B-CreativeWork",
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+ 'I-MusicalWork': "I-CreativeWork",
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+ 'B-ORG': "B-Group",
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+ 'I-ORG': "I-Group",
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+ 'B-OtherLOC': "B-Location",
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+ 'I-OtherLOC': "I-Location",
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+ 'B-OtherPER': "B-Person",
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+ 'I-OtherPER': "I-Person",
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+ 'B-OtherPROD': "B-Product",
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+ 'I-OtherPROD': "I-Product",
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+ 'B-Politician': "B-Person",
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+ 'I-Politician': "I-Person",
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+ 'B-PrivateCorp': "B-Group",
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+ 'I-PrivateCorp': "I-Group",
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+ 'B-PublicCorp': "B-Group",
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+ 'I-PublicCorp': "B-Group",
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+ 'B-Scientist': "B-Person",
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+ 'I-Scientist': "I-Person",
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+ 'B-Software': "B-CreativeWork",
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+ 'I-Software': "I-CreativeWork",
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+ 'B-SportsGRP': "B-Group",
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+ 'I-SportsGRP': "I-Group",
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+ 'B-SportsManager': "B-Person",
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+ 'I-SportsManager': "I-Person",
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+ 'B-Station': 'B-Location',
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+ 'I-Station': 'I-Location',
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+ 'B-Symptom': "B-Medical",
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+ 'I-Symptom': "I-Medical",
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+ 'B-Vehicle': "B-Product",
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+ 'I-Vehicle': "I-Product",
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+ 'B-VisualWork': "B-CreativeWork",
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+ 'I-VisualWork': "I-CreativeWork",
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+ 'B-WrittenWork': "B-CreativeWork",
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+ 'I-WrittenWork': "I-CreativeWork",
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+ }
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+
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  def _info(self):
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  return datasets.DatasetInfo(
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  description=_DESCRIPTION,
 
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  'B-WrittenWork', 'I-WrittenWork']
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  )
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  ),
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+ "ner_macro_tags": datasets.Sequence(
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+ datasets.features.ClassLabel(
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+ names=['O',
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+ "B-Location", "I-Location"
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+ "B-CreativeWork", "I-CreativeWork",
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+ "B-Group", "I-Group",
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+ "B-Person", "I-Person",
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+ "B-Product", "I-Product",
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+ "B-Medical", "I-Medical",
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+ ]
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+ )
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+ ),
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  }
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  ),
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  supervised_keys=None,
 
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  "id": str(guid),
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  "tokens": tokens,
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  "ner_tags": ner_tags,
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+ "ner_macro_tags": [self.micro_to_macro_ner_mapping[ner] for ner in ner_tags]
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  }