Merge branch 'main' of https://huggingface.co/datasets/relbert/t_rex_relational_similarity into main

t_rex_relational_similarity.py

@@ -7,7 +7,7 @@ import datasets
 logger = datasets.logging.get_logger(__name__)
 _DESCRIPTION = """T-Rex dataset."""
 _NAME = "t_rex_relational_similarity"
-_VERSION = "0.0.2"
+_VERSION = "0.0.4"
 _CITATION = """
 @inproceedings{elsahar2018t,
   title={T-rex: A large scale alignment of natural language with knowledge base triples},
@@ -19,15 +19,11 @@ _CITATION = """
 
 _HOME_PAGE = "https://github.com/asahi417/relbert"
 _URL = f'https://huggingface.co/datasets/relbert/{_NAME}/resolve/main/data'
-MIN_ENTITY_FREQ = [1, 2, 3, 4]
-MAX_PREDICATE_FREQ = [100, 50, 25, 10]
-
-_TYPES = [f"filter_unified.min_entity_{a}_max_predicate_{b}" for a, b in product(MIN_ENTITY_FREQ, MAX_PREDICATE_FREQ)]
-_URLS = {i: {
+_URLS = {
     str(datasets.Split.TRAIN): [f'{_URL}/{i}.train.jsonl'],
     str(datasets.Split.VALIDATION): [f'{_URL}/{i}.validation.jsonl'],
     str(datasets.Split.TEST): [f'{_URL}/filter_unified.test.jsonl']
-} for i in _TYPES}
+}
 
 
 class TREXRelationalSimilarityConfig(datasets.BuilderConfig):
@@ -44,13 +40,10 @@ class TREXRelationalSimilarityConfig(datasets.BuilderConfig):
 class TREXRelationalSimilarity(datasets.GeneratorBasedBuilder):
     """Dataset."""
 
-    BUILDER_CONFIGS = [
-        TREXRelationalSimilarityConfig(name=i, version=datasets.Version(_VERSION), description=_DESCRIPTION)
-        for i in sorted(_TYPES)
-    ]
+    BUILDER_CONFIGS = [TREXRelationalSimilarityConfig(version=datasets.Version(_VERSION), description=_DESCRIPTION)]
 
     def _split_generators(self, dl_manager):
-        downloaded_file = dl_manager.download_and_extract(_URLS[self.config.name])
+        downloaded_file = dl_manager.download_and_extract(_URLS)
         return [datasets.SplitGenerator(name=i, gen_kwargs={"filepaths": downloaded_file[str(i)]})
                 for i in [datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST]]