Update t_rex.py

t_rex.py

@@ -7,7 +7,7 @@ import datasets
 logger = datasets.logging.get_logger(__name__)
 _DESCRIPTION = """T-Rex dataset."""
 _NAME = "t_rex"
-_VERSION = "0.1.0"
+_VERSION = "1.0.0"
 _CITATION = """
 @inproceedings{elsahar2018t,
   title={T-rex: A large scale alignment of natural language with knowledge base triples},
@@ -19,17 +19,17 @@ _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]
+# 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)]
+# _TYPES = [f"filter_unified.min_entity_{a}_max_predicate_{b}" for a, b in product(MIN_ENTITY_FREQ, MAX_PREDICATE_FREQ)]
 # _TYPES += ["raw", "filter", "filter_unified"]
-_NON_SPLITS = ["raw", "filter", "filter_unified"]
-_URLS = {i: {str(datasets.Split.TRAIN): [f'{_URL}/t_rex.{i}.jsonl']} if i in _NON_SPLITS else {
+# _NON_SPLITS = ["raw", "filter", "filter_unified"]
+_URLS = {
     str(datasets.Split.TRAIN): [f'{_URL}/t_rex.{i}.train.jsonl'],
     str(datasets.Split.VALIDATION): [f'{_URL}/t_rex.{i}.validation.jsonl'],
-    str(datasets.Split.TEST): [f'{_URL}/t_rex.filter_unified.test.jsonl']}
-         for i in _TYPES}
+    str(datasets.Split.TEST): [f'{_URL}/t_rex.filter_unified.test.jsonl']
+}
 
 
 class TREXConfig(datasets.BuilderConfig):