Update t_rex_relational_similarity.py
Browse files
t_rex_relational_similarity.py
CHANGED
@@ -7,7 +7,7 @@ import datasets
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logger = datasets.logging.get_logger(__name__)
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_DESCRIPTION = """T-Rex dataset."""
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_NAME = "t_rex_relational_similarity"
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_VERSION = "0.0.
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_CITATION = """
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@inproceedings{elsahar2018t,
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title={T-rex: A large scale alignment of natural language with knowledge base triples},
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@@ -19,9 +19,6 @@ _CITATION = """
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_HOME_PAGE = "https://github.com/asahi417/relbert"
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_URL = f'https://huggingface.co/datasets/relbert/{_NAME}/resolve/main/data'
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MIN_ENTITY_FREQ = [1, 2, 3, 4]
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MAX_PREDICATE_FREQ = [100, 50, 25, 10]
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_TYPES = [f"filter_unified.min_entity_{a}_max_predicate_{b}" for a, b in product(MIN_ENTITY_FREQ, MAX_PREDICATE_FREQ)]
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_URLS = {i: {
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str(datasets.Split.TRAIN): [f'{_URL}/{i}.train.jsonl'],
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@@ -44,13 +41,10 @@ class TREXRelationalSimilarityConfig(datasets.BuilderConfig):
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class TREXRelationalSimilarity(datasets.GeneratorBasedBuilder):
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"""Dataset."""
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BUILDER_CONFIGS = [
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TREXRelationalSimilarityConfig(name=i, version=datasets.Version(_VERSION), description=_DESCRIPTION)
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for i in sorted(_TYPES)
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]
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def _split_generators(self, dl_manager):
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downloaded_file = dl_manager.download_and_extract(_URLS
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return [datasets.SplitGenerator(name=i, gen_kwargs={"filepaths": downloaded_file[str(i)]})
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for i in [datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST]]
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logger = datasets.logging.get_logger(__name__)
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_DESCRIPTION = """T-Rex dataset."""
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_NAME = "t_rex_relational_similarity"
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_VERSION = "0.0.3"
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_CITATION = """
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@inproceedings{elsahar2018t,
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title={T-rex: A large scale alignment of natural language with knowledge base triples},
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_HOME_PAGE = "https://github.com/asahi417/relbert"
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_URL = f'https://huggingface.co/datasets/relbert/{_NAME}/resolve/main/data'
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_TYPES = [f"filter_unified.min_entity_{a}_max_predicate_{b}" for a, b in product(MIN_ENTITY_FREQ, MAX_PREDICATE_FREQ)]
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_URLS = {i: {
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str(datasets.Split.TRAIN): [f'{_URL}/{i}.train.jsonl'],
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class TREXRelationalSimilarity(datasets.GeneratorBasedBuilder):
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"""Dataset."""
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BUILDER_CONFIGS = [TREXRelationalSimilarityConfig(version=datasets.Version(_VERSION), description=_DESCRIPTION)]
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def _split_generators(self, dl_manager):
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downloaded_file = dl_manager.download_and_extract(_URLS)
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return [datasets.SplitGenerator(name=i, gen_kwargs={"filepaths": downloaded_file[str(i)]})
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for i in [datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST]]
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