use dl manager in dataset

libris2s/libris2s.py

@@ -1,4 +1,5 @@
 import csv
+import os
 from datasets import DatasetInfo, GeneratorBasedBuilder, SplitGenerator, Split, Features, Value, Audio
 
 
@@ -16,21 +17,31 @@ class Libris2s(GeneratorBasedBuilder):
         )
     
     def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        data_dir = dl_manager.download_and_extract(".")
+        
         return [
             SplitGenerator(
                 name=Split.TRAIN,
-                gen_kwargs={"filepath": "alignments/all_de_en_alligned_cleaned.csv"}
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "alignments/all_de_en_alligned_cleaned.csv"),
+                    "data_dir": data_dir,
+                }
             ),
         ]
 
-    def _generate_examples(self, filepath):
+    def _generate_examples(self, filepath, data_dir):
         with open(filepath, encoding="utf-8") as f:
             reader = csv.DictReader(f)
             for idx, row in enumerate(reader):
+                # Resolve paths relative to data_dir
+                de_audio = os.path.join(data_dir, row["DE_audio"])
+                en_audio = os.path.join(data_dir, row["EN_audio"])
+                
                 yield idx, {
                     "book_id": int(row["book_id"]),
-                    "DE_audio": row["DE_audio"],
-                    "EN_audio": row["EN_audio"],
+                    "DE_audio": de_audio,
+                    "EN_audio": en_audio,
                     "score": float(row["score"]),
                     "DE_transcript": row["DE_transcript"],
                     "EN_transcript": row["EN_transcript"],