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Upload indocollex.py with huggingface_hub

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  1. indocollex.py +11 -11
indocollex.py CHANGED
@@ -19,9 +19,9 @@ from typing import Dict, List, Tuple
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  import datasets
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- from nusacrowd.utils import schemas
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- from nusacrowd.utils.configs import NusantaraConfig
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- from nusacrowd.utils.constants import Tasks
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  _CITATION = """\
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  @inproceedings{wibowo-etal-2021-indocollex,
@@ -69,7 +69,7 @@ _URLS = {
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  _SUPPORTED_TASKS = [Tasks.MORPHOLOGICAL_INFLECTION]
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  _SOURCE_VERSION = "1.0.0"
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- _NUSANTARA_VERSION = "1.0.0"
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  class NewDataset(datasets.GeneratorBasedBuilder):
@@ -81,18 +81,18 @@ class NewDataset(datasets.GeneratorBasedBuilder):
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  chain(
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  *[
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  [
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- NusantaraConfig(
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  name=f"{_DATASETNAME}{suffix}_source",
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  version=datasets.Version(_SOURCE_VERSION),
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  description=f"{_DATASETNAME} source schema",
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  schema="source",
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  subset_id=f"{_DATASETNAME}{suffix}",
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  ),
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- NusantaraConfig(
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- name=f"{_DATASETNAME}{suffix}_nusantara_pairs_multi",
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- version=datasets.Version(_NUSANTARA_VERSION),
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  description=f"{_DATASETNAME} Nusantara schema",
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- schema="nusantara_pairs_multi",
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  subset_id=f"{_DATASETNAME}{suffix}",
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  ),
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  ]
@@ -115,7 +115,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
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  }
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  )
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- elif self.config.schema == "nusantara_pairs_multi":
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  features = schemas.pairs_multi_features(self.label_classes)
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  else:
@@ -179,7 +179,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
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  for key, ex in enumerate(dataset):
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  yield key, dict(zip(source_columns, ex))
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- elif self.config.schema == "nusantara_pairs_multi":
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  for key, ex in enumerate(dataset):
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  yield key, {
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  "id": str(key),
 
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  import datasets
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+ from seacrowd.utils import schemas
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+ from seacrowd.utils.configs import SEACrowdConfig
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+ from seacrowd.utils.constants import Tasks
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  _CITATION = """\
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  @inproceedings{wibowo-etal-2021-indocollex,
 
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  _SUPPORTED_TASKS = [Tasks.MORPHOLOGICAL_INFLECTION]
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  _SOURCE_VERSION = "1.0.0"
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+ _SEACROWD_VERSION = "2024.06.20"
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  class NewDataset(datasets.GeneratorBasedBuilder):
 
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  chain(
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  *[
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  [
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+ SEACrowdConfig(
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  name=f"{_DATASETNAME}{suffix}_source",
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  version=datasets.Version(_SOURCE_VERSION),
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  description=f"{_DATASETNAME} source schema",
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  schema="source",
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  subset_id=f"{_DATASETNAME}{suffix}",
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  ),
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+ SEACrowdConfig(
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+ name=f"{_DATASETNAME}{suffix}_seacrowd_pairs_multi",
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+ version=datasets.Version(_SEACROWD_VERSION),
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  description=f"{_DATASETNAME} Nusantara schema",
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+ schema="seacrowd_pairs_multi",
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  subset_id=f"{_DATASETNAME}{suffix}",
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  ),
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  ]
 
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  }
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  )
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+ elif self.config.schema == "seacrowd_pairs_multi":
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  features = schemas.pairs_multi_features(self.label_classes)
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  else:
 
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  for key, ex in enumerate(dataset):
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  yield key, dict(zip(source_columns, ex))
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+ elif self.config.schema == "seacrowd_pairs_multi":
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  for key, ex in enumerate(dataset):
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  yield key, {
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  "id": str(key),