Datasets:
patriziobellan
commited on
Commit
•
984c4af
1
Parent(s):
3742211
Update PET.py
Browse files
PET.py
CHANGED
@@ -76,14 +76,11 @@ _TEST_FILE_10 = "test.json"
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_TEST_FILE_RELATIONS_11 = "PETv1.1-relations.json"
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_TEST_FILE_RELATIONS_10 = 'PETrelations.json'
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_NER = 'token-classification'
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_RELATIONS_EXTRACTION = 'relations-extraction'
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_NER_TAGS = [ "O",
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"B-Actor",
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"I-Actor",
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@@ -142,24 +139,24 @@ class PET(datasets.GeneratorBasedBuilder):
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))
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BUILDER_CONFIGS = [ PETConfig(
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name=_NER,
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description="The PET Dataset for Token Classification"
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),
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PETConfig(
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name=_RELATIONS_EXTRACTION,
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description="The PET Dataset for Relation Extraction"
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),
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# PETConfig(
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# name=_NER,
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# version=datasets.Version("1.1.0"),
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# description="The PET Dataset for Token Classification"
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# ),
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# PETConfig(
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# name=_RELATIONS_EXTRACTION,
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# version=datasets.Version("1.1.0"),
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# description="The PET Dataset for Relation Extraction"
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# ),
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]
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DEFAULT_CONFIG_NAME = _RELATIONS_EXTRACTION
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@@ -189,16 +186,24 @@ class PET(datasets.GeneratorBasedBuilder):
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)
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def _split_generators(self, dl_manager):
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print(f"{self.config.version
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if self.config.name == _NER:
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"test": f"{_URL_10}{_TEST_FILE_10}",
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}
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else:
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urls_to_download = {
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"test": f"{_URL_11}{_TEST_FILE_11}",
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}
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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return [datasets.SplitGenerator(
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@@ -209,24 +214,34 @@ class PET(datasets.GeneratorBasedBuilder):
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"split": "test"
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},
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)]
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}
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else:
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urls_to_download = {
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"test": f"{_URL_11}{_TEST_FILE_RELATIONS_11}",
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}
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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return [datasets.SplitGenerator(
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name=datasets.Split.TEST,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": downloaded_files["test"],
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"split": "test"
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def _generate_examples(self, filepath, split):
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if self.config.name == _NER:
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_TEST_FILE_RELATIONS_11 = "PETv1.1-relations.json"
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_TEST_FILE_RELATIONS_10 = 'PETrelations.json'
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_NER = 'token-classification'
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_NER_11 = 'token-classification-v1.1'
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_RELATIONS_EXTRACTION = 'relations-extraction'
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_RELATIONS_EXTRACTION_11 = 'relations-extraction-v1.1'
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_NER_TAGS = [ "O",
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"B-Actor",
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"I-Actor",
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))
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BUILDER_CONFIGS = [ PETConfig(
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name=_NER,
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version=datasets.Version("1.0.1"),
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description="The PET Dataset for Token Classification"
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),
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PETConfig(
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name=_RELATIONS_EXTRACTION,
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version=datasets.Version("1.0.1"),
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description="The PET Dataset for Relation Extraction"
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),
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PETConfig(
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name=_NER_11,
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version=datasets.Version("1.1.0"),
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description="The PET Dataset for Token Classification"
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),
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PETConfig(
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name=_RELATIONS_EXTRACTION_11,
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version=datasets.Version("1.1.0"),
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description="The PET Dataset for Relation Extraction"
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),
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]
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DEFAULT_CONFIG_NAME = _RELATIONS_EXTRACTION
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)
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def _split_generators(self, dl_manager):
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print(f"{self.config.version}")
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if self.config.name == _NER:
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urls_to_download = {
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"test": f"{_URL_10}{_TEST_FILE_10}",
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}
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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return [datasets.SplitGenerator(
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name=datasets.Split.TEST,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": downloaded_files["test"],
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"split": "test"
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},
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)]
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elif self.config.name == _NER_11:
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urls_to_download = {
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"test": f"{_URL_11}{_TEST_FILE_11}",
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}
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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return [datasets.SplitGenerator(
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"split": "test"
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},
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)]
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elif self.config.name == _RELATIONS_EXTRACTION:
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urls_to_download = {
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"test": f"{_URL_10}{_TEST_FILE_RELATIONS_10}",
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}
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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return [datasets.SplitGenerator(
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name=datasets.Split.TEST,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": downloaded_files["test"],
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"split": "test"
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},
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)]
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else:
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urls_to_download = {
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"test": f"{_URL_11}{_TEST_FILE_RELATIONS_11}",
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}
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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return [datasets.SplitGenerator(
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name=datasets.Split.TEST,
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# These kwargs will be passed to _generate_examples
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gen_kwargs={
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"filepath": downloaded_files["test"],
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"split": "test"
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},
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)]
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def _generate_examples(self, filepath, split):
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if self.config.name == _NER:
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