update script

.gitattributes

@@ -53,4 +53,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
-raw/yago-taxonomy.ttl filter=lfs diff=lfs merge=lfs -text
+yago-taxonomy.ttl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,12 +0,0 @@
----
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 17
-    num_examples: 1
-  download_size: 14
-  dataset_size: 17
----

yago-4.5-en.py → yago45en.py

@@ -1,7 +1,8 @@
 import os
-from datasets import DatasetBuilder, SplitGenerator, DownloadConfig, load_dataset, DownloadManager
+from datasets import DatasetBuilder, SplitGenerator, DownloadConfig, load_dataset, DownloadManager, DatasetInfo
 from rdflib import Graph, URIRef, Literal, BNode
 from rdflib.namespace import RDF, RDFS, OWL, XSD, Namespace, NamespaceManager
+from datasets.features import Features, Value
 
 SCHEMA = Namespace('http://schema.org/')
 
@@ -13,17 +14,18 @@ class YAGO45DatasetBuilder(DatasetBuilder):
     taxonomy = Graph(bind_namespaces="core")
     
     def _info(self):
-        # Define dataset metadata and features
-        return {
-            "features": {
-                "subject": "string",
-                "predicate": "string",
-                "object": "string"
-            },
-            "homepage": "https://yago-knowledge.org/",
-            "license": "CC BY 3.0",
-            "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}}"
-        }
+        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}}",
+            homepage="https://yago-knowledge.org/",
+            license="https://creativecommons.org/licenses/by-sa/3.0/",
+            features=Features({
+                'subject': Value('string'),
+                'predicate': Value('string'),
+                'object': Value('string')
+            })
+        )
     
     def _split_generators(self, dl_manager):
         # Download and extract the dataset
@@ -31,7 +33,7 @@ class YAGO45DatasetBuilder(DatasetBuilder):
         
         # Download and extract the dataset files
         dl_manager.download_config = DownloadConfig(cache_dir=os.path.abspath("raw"))
-        dl_manager.download_and_extract(["raw/facts.tar.gz", "raw/yago-taxonomy.ttl"])
+        dl_manager.download_and_extract(["facts.tar.gz", "yago-taxonomy.ttl"])
         
         # Load yago-taxonomy.ttl file in every process
         self.taxonomy.parse(os.path.join(dl_manager.manual_dir, 'yago-taxonomy.ttl'), format='turtle')
@@ -53,11 +55,11 @@ class YAGO45DatasetBuilder(DatasetBuilder):
             graph.parse(chunk_path, format='nt')
             
             # Yield individual triples from the graph
-            for i, (subject, predicate, object_) in enumerate(graph):
+            for i, (s, p, o) in enumerate(graph):
                 yield i, {
-                    'subject': str(subject),
-                    'predicate': str(predicate),
-                    'object': str(object_)
+                    'subject': str(s),
+                    'predicate': str(p),
+                    'object': str(o)
                 }