Delete LEMAS-Dataset.py

LEMAS-Dataset.py

@@ -1,88 +0,0 @@
-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()