Delete LEMAS_Dataset.py

LEMAS_Dataset.py

@@ -1,74 +0,0 @@
-import os
-import datasets
-
-_DESCRIPTION = """
-LEMAS Dataset - multilingual speech dataset
-"""
-
-_CITATION = """
-Your citation here.
-"""
-
-class LEMASDataset(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        # 定义数据集字段和类型
-        features = datasets.Features({
-            "key": datasets.Value("string"),
-            "audio": datasets.Audio(sampling_rate=None),
-            "dur": datasets.Value("float32"),
-            "txt": datasets.Value("string"),
-            "align": datasets.features.Sequence({
-                "word": datasets.Value("string"),
-                "start": datasets.Value("float32"),
-                "end": datasets.Value("float32"),
-                "score": datasets.Value("float32"),
-            }),
-            "align_txt": datasets.Value("string"),
-        })
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=None,
-            homepage="https://your-dataset-homepage",
-            citation=_CITATION,
-            version=self.VERSION,
-        )
-
-    def _split_generators(self, dl_manager):
-        # 只返回 eval 拆分
-        data_dir = dl_manager.download_and_extract("https://huggingface.co/datasets/your-username/LEMAS-Dataset/resolve/main/")
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.EVAL,
-                gen_kwargs={"filepath": os.path.join(data_dir, "eval.jsonl")},
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        # 读取 jsonl 文件，逐条 yield 数据
-        import json
-        with open(filepath, encoding="utf-8") as f:
-            for idx, line in enumerate(f):
-                data = json.loads(line)
-                # 预处理 align 格式：这里把 align 字段拆开，方便符合 features
-                words = data.get("align", {}).get("words", [])
-                align_words = []
-                for w in words:
-                    align_words.append({
-                        "word": w.get("word", ""),
-                        "start": float(w.get("start", 0)),
-                        "end": float(w.get("end", 0)),
-                        "score": float(w.get("score", 0)),
-                    })
-
-                yield idx, {
-                    "key": data.get("key", ""),
-                    "audio": data.get("audio", ""),
-                    "dur": float(data.get("dur", 0)),
-                    "txt": data.get("txt", ""),
-                    "align": align_words,
-                    "align_txt": data.get("align", {}).get("txt", ""),
-                }