add readme back

INFO.md → README.md

@@ -3,7 +3,7 @@
 ## Dataset Description
 This datasets contains triples filtered from yago-facts.ttl and
 yago-beyond-wikipedia.ttl in the YAGO 4.5 dataset. The SPARQL query
-used to filter the triples is in `raw/filter.sparql`. This represents
+used to filter the triples is in `filter.sparql`. This represents
 a subset of the YAGO 4.5 dataset maintaining only English labels. 
 
 I remapped some schema.org URIs to use the
@@ -33,9 +33,9 @@ base. YAGO refines the data as follows:
 ### Dataset Structure
 The dataset is structured as follows:
 
-- **raw/yago-taxonomy.ttl:** Contains the `rdfs:subClassOf` relations
+- **yago-taxonomy.ttl:** Contains the `rdfs:subClassOf` relations
   for YAGO and the prefix mappings for the N-Triples.
-- **raw/facts.tar.gz:** Compressed file containing chunks of the
+- **facts.tar.gz:** Compressed file containing chunks of the
   dataset in N-Triples format, representing the factual knowledge in
   YAGO. 
 
@@ -49,7 +49,7 @@ Each RDF triple in the dataset is represented with the following features:
 - **object:** The object of the triple, representing the entity or
   value linked by the predicate.
 
-### Splits
+### Chunks
 
 The dataset is logically divided into multiple chunks, each containing
 a subset of RDF triples. Users can load specific chunks or the entire
@@ -67,15 +67,13 @@ from datasets import load_dataset
 dataset = load_dataset('wikipunk/yago-4.5-en', num_proc=4)
 ```
 
-### Accessing the YAGO Taxonomy File
+``` python
+# Accessing the first row of the dataset
+first_row = dataset[0]
 
-The `yago-taxonomy.ttl` file can be accessed and loaded in every process as follows:
-
-```python
-from rdflib import Graph
-
-taxonomy_graph = Graph()
-taxonomy_graph.parse('raw/yago-taxonomy.ttl', format='turtle') 
+# Output: {'subject': '<http://yago-knowledge.org/resource/Sdsscgb_11322_U002E_4_Q85387516>',
+#          'predicate': '<http://www.w3.org/2000/01/rdf-schema#comment>',
+#          'object': '"galaxy"@en'}
 ```
 
 ## Additional Information