use GeneratorBasedBuilder as superclass

yago45en.py

@@ -1,5 +1,6 @@
 import os
-from datasets import DatasetBuilder, SplitGenerator, DownloadConfig, load_dataset, DownloadManager, DatasetInfo
+import datasets
+from datasets import DatasetBuilder, SplitGenerator, DownloadConfig, load_dataset, DownloadManager, DatasetInfo, GeneratorBasedBuilder
 from rdflib import Graph, URIRef, Literal, BNode
 from rdflib.namespace import RDF, RDFS, OWL, XSD, Namespace, NamespaceManager
 from datasets.features import Features, Value
@@ -8,13 +9,12 @@ SCHEMA = Namespace('http://schema.org/')
 
 YAGO = Namespace('http://yago-knowledge.org/resource/')
 
-class YAGO45DatasetBuilder(DatasetBuilder):
+class YAGO45DatasetBuilder(GeneratorBasedBuilder):
     VERSION = "1.0.0"
 
     taxonomy = Graph(bind_namespaces="core")
     
     def _info(self):
-        print("INFO")
         return DatasetInfo(
             description="A subset of the YAGO 4.5 dataset maintaining only English labels",
             citation="@article{suchanek2023integrating,title={Integrating the Wikidata Taxonomy into YAGO},author={Suchanek, Fabian M and Alam, Mehwish and Bonald, Thomas and Paris, Pierre-Henri and Soria, Jules},journal={arXiv preprint arXiv:2308.11884},year={2023}}",
@@ -32,18 +32,21 @@ class YAGO45DatasetBuilder(DatasetBuilder):
         # Define splits for each chunk of your dataset.
         
         # Download and extract the dataset files
-        dl_manager.download_config = DownloadConfig(cache_dir=os.path.abspath("raw"))
-        dl_manager.download_and_extract(["facts.tar.gz", "yago-taxonomy.ttl"])
-        
+        facts, taxonomy = dl_manager.download_and_extract(["facts.tar.gz", "yago-taxonomy.ttl"])
+
+        facts = os.path.join(facts, "tmp/yago/")
+
         # Load yago-taxonomy.ttl file in every process
-        self.taxonomy.parse(os.path.join(dl_manager.manual_dir, 'yago-taxonomy.ttl'), format='turtle')
+        self.taxonomy.parse(taxonomy)
         
         # Extract prefix mappings 
         prefix_mappings = {prefix: namespace for prefix, namespace in self.taxonomy.namespaces()}
         
         # Define splits for each chunk
-        chunk_paths = [os.path.join(dl_manager.manual_dir, chunk) for chunk in os.listdir(dl_manager.manual_dir) if chunk.endswith('.nt')]
-        return [SplitGenerator(name="train", gen_kwargs={'chunk_paths': chunk_paths, 'prefix_mappings': prefix_mappings})]
+        chunk_paths = [os.path.join(facts, chunk) for chunk in os.listdir(facts) if chunk.endswith('.nt')]
+        return [SplitGenerator(name=datasets.Split.TRAIN, 
+                               gen_kwargs={'chunk_paths': chunk_paths, 
+                                           'prefix_mappings': prefix_mappings})]
     
     def _generate_examples(self, chunk_paths, prefix_mappings):
         # Load the chunks into an rdflib graph
@@ -61,5 +64,3 @@ class YAGO45DatasetBuilder(DatasetBuilder):
                     'predicate': str(p),
                     'object': str(o)
                 }
-
-