Create LEMAS-Dataset.py

LEMAS-Dataset.py

@@ -0,0 +1,88 @@
+import os
+import json
+import tarfile
+import datasets
+
+class LEMASDataset(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="LEMAS multilingual training dataset with split audio archives",
+            features=datasets.Features(
+                {
+                    "key": datasets.Value("string"),
+                    "audio": datasets.Audio(),
+                    "dur": datasets.Value("float32"),
+                    "txt": datasets.Value("string"),
+                    "align": datasets.features.Sequence({
+                        "txt": datasets.Value("string"),
+                        "words": datasets.features.Sequence({
+                            "word": datasets.Value("string"),
+                            "start": datasets.Value("float32"),
+                            "end": datasets.Value("float32"),
+                            "score": datasets.Value("float32"),
+                        }),
+                    }),
+                }
+            ),
+            supervised_keys=("audio", "txt"),
+            homepage="https://your-project-homepage",
+            license="Apache-2.0",
+        )
+
+    def _split_generators(self, dl_manager):
+        # 假设你上传的文件结构已经是这样的解压路径
+        # LEMAS-Dataset/train/de/de000.jsonl, de000.tar.gz ...
+        data_dir = dl_manager.extract("LEMAS-Dataset/train")  # 或者目录路径，也可以改成dl_manager.manual_dir等
+
+        # 遍历所有语言目录
+        languages = [d for d in os.listdir(data_dir) if os.path.isdir(os.path.join(data_dir, d))]
+        all_generators = []
+        for lang in languages:
+            lang_dir = os.path.join(data_dir, lang)
+            jsonl_files = sorted([f for f in os.listdir(lang_dir) if f.endswith(".jsonl")])
+            tar_files = sorted([f for f in os.listdir(lang_dir) if f.endswith(".tar.gz")])
+
+            # 匹配jsonl和tar.gz
+            for jsonl_file in jsonl_files:
+                prefix = jsonl_file[:-6]
+                tar_file = prefix + ".tar.gz"
+                if tar_file not in tar_files:
+                    continue
+                all_generators.append(
+                    datasets.SplitGenerator(
+                        name=datasets.Split.TRAIN,
+                        gen_kwargs={
+                            "jsonl_path": os.path.join(lang_dir, jsonl_file),
+                            "audio_archive_path": os.path.join(lang_dir, tar_file),
+                        },
+                    )
+                )
+        return all_generators
+
+    def _generate_examples(self, jsonl_path, audio_archive_path):
+        # 打开tar.gz文件
+        archive = tarfile.open(audio_archive_path, "r:gz")
+        members = {m.name: m for m in archive.getmembers()}
+
+        def get_audio_bytes(path_in_archive):
+            if path_in_archive not in members:
+                raise FileNotFoundError(f"Audio {path_in_archive} not found in archive {audio_archive_path}")
+            f = archive.extractfile(members[path_in_archive])
+            if f is None:
+                raise FileNotFoundError(f"Cannot extract {path_in_archive} from {audio_archive_path}")
+            return f.read()
+
+        with open(jsonl_path, "r", encoding="utf-8") as f:
+            for line in f:
+                example = json.loads(line)
+                audio_bytes = get_audio_bytes(example["audio"])
+                yield example["key"], {
+                    "key": example["key"],
+                    "audio": {"bytes": audio_bytes, "path": example["audio"]},
+                    "dur": example["dur"],
+                    "txt": example["txt"],
+                    "align": example["align"],
+                }
+        archive.close()