update dataset

PedroDKE--LibriS2S/__init__.py

@@ -0,0 +1 @@
+"""LibriS2S dataset.""" 

PedroDKE--LibriS2S/libris2s.py

@@ -0,0 +1,79 @@
+"""LibriS2S dataset."""
+
+import csv
+import os
+from typing import Dict, List, Tuple
+
+import datasets
+
+
+_CITATION = """@inproceedings{jeuris-niehues-2022-libris2s,
+   title = "{L}ibri{S}2{S}: A {G}erman-{E}nglish Speech-to-Speech Translation Corpus",
+   author = "Jeuris, Pedro and Niehues, Jan",
+   booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
+   year = "2022",
+   url = "https://aclanthology.org/2022.lrec-1.98",
+   pages = "928--935"
+}"""
+
+_DESCRIPTION = """LibriS2S: A German-English Speech-to-Speech Translation Corpus"""
+
+_HOMEPAGE = "https://huggingface.co/datasets/PedroDKE/LibriS2S"
+
+_LICENSE = "cc-by-nc-sa-4.0"
+
+
+class LibriS2S(datasets.GeneratorBasedBuilder):
+    """LibriS2S dataset."""
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self) -> datasets.DatasetInfo:
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "book_id": datasets.Value("int64"),
+                    "DE_audio": datasets.Audio(),
+                    "EN_audio": datasets.Audio(),
+                    "score": datasets.Value("float32"),
+                    "DE_transcript": datasets.Value("string"),
+                    "EN_transcript": datasets.Value("string"),
+                }
+            ),
+            homepage=_HOMEPAGE,
+            license=_LICENSE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        """Returns SplitGenerators."""
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "split": "train",
+                    "data_dir": ".",
+                },
+            ),
+        ]
+
+    def _generate_examples(self, split: str, data_dir: str) -> Tuple[int, Dict]:
+        """Yields examples."""
+        csv_path = os.path.join(data_dir, "alignments", "all_de_en_alligned_cleaned.csv")
+        
+        with open(csv_path, encoding="utf-8") as f:
+            reader = csv.DictReader(f)
+            for idx, row in enumerate(reader):
+                # Handle paths for both DE and EN audio
+                de_audio_path = os.path.join(data_dir, row["DE_audio"])
+                en_audio_path = os.path.join(data_dir, row["EN_audio"])
+                
+                yield idx, {
+                    "book_id": int(row["book_id"]),
+                    "DE_audio": de_audio_path,
+                    "EN_audio": en_audio_path,
+                    "score": float(row["score"]),
+                    "DE_transcript": row["DE_transcript"],
+                    "EN_transcript": row["EN_transcript"],
+                } 

libris2s.py

@@ -1,71 +0,0 @@
-import csv
-import os
-from datasets import DatasetInfo, GeneratorBasedBuilder, SplitGenerator, Split, Features, Value, Audio
-
-
-class LibriS2SDataset(GeneratorBasedBuilder):
-    """LibriS2S: A German-English Speech-to-Speech Translation Corpus"""
-
-    VERSION = "1.0.0"
-    BUILDER_CONFIGS = [
-        {
-            "name": "default",
-            "version": VERSION,
-            "description": "Default configuration for LibriS2S dataset",
-        }
-    ]
-
-    def _info(self):
-        return DatasetInfo(
-            description="LibriS2S: A German-English Speech-to-Speech Translation Corpus",
-            features=Features({
-                "book_id": Value("int64"),
-                "DE_audio": Audio(),
-                "EN_audio": Audio(),
-                "score": Value("float32"),
-                "DE_transcript": Value("string"),
-                "EN_transcript": Value("string"),
-            }),
-            homepage="https://huggingface.co/datasets/PedroDKE/LibriS2S",
-            citation="""@inproceedings{jeuris-niehues-2022-libris2s,
-               title = "{L}ibri{S}2{S}: A {G}erman-{E}nglish Speech-to-Speech Translation Corpus",
-               author = "Jeuris, Pedro and Niehues, Jan",
-               booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
-               year = "2022",
-               url = "https://aclanthology.org/2022.lrec-1.98",
-               pages = "928--935"
-            }""",
-            license="cc-by-nc-sa-4.0",
-        )
-    
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        return [
-            SplitGenerator(
-                name=Split.TRAIN,
-                gen_kwargs={
-                    "split": "train",
-                    "cache_dir": dl_manager.manual_dir if dl_manager.manual_dir else ".",
-                }
-            ),
-        ]
-
-    def _generate_examples(self, split, cache_dir):
-        """Yields examples."""
-        csv_path = os.path.join(cache_dir, "alignments/all_de_en_alligned_cleaned.csv")
-        
-        with open(csv_path, encoding="utf-8") as f:
-            reader = csv.DictReader(f)
-            for idx, row in enumerate(reader):
-                # Handle paths for both DE and EN audio
-                de_audio_path = os.path.join(cache_dir, row["DE_audio"])
-                en_audio_path = os.path.join(cache_dir, row["EN_audio"])
-                
-                yield idx, {
-                    "book_id": int(row["book_id"]),
-                    "DE_audio": de_audio_path,
-                    "EN_audio": en_audio_path,
-                    "score": float(row["score"]),
-                    "DE_transcript": row["DE_transcript"],
-                    "EN_transcript": row["EN_transcript"],
-                }