Rename dataset.py to LEMAS_Dataset.py

LEMAS_Dataset.py

@@ -0,0 +1,74 @@
+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", ""),
+                }

dataset.py

@@ -1,54 +0,0 @@
-import json
-import datasets
-
-_DESCRIPTION = """
-LEMAS Eval Dataset (Multilingual)
-
-Each sample contains:
-- audio: speech audio
-- txt: normalized transcript
-- align: word-level alignment (json string)
-"""
-
-class LEMASEval(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "key": datasets.Value("string"),
-                    "audio": datasets.Audio(sampling_rate=None),
-                    "dur": datasets.Value("float32"),
-                    "txt": datasets.Value("string"),
-                    "align": datasets.Value("string"),
-                }
-            ),
-            supervised_keys=None,
-        )
-
-    def _split_generators(self, dl_manager):
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "jsonl_path": "eval.jsonl",
-                },
-            )
-        ]
-
-    def _generate_examples(self, jsonl_path):
-        with open(jsonl_path, "r", encoding="utf-8") as f:
-            for idx, line in enumerate(f):
-                obj = json.loads(line)
-
-                yield idx, {
-                    "key": obj["key"],
-                    "audio": obj["audio"], 
-                    "dur": float(obj["dur"]),
-                    "txt": obj["txt"],
-                    # 把 struct → string
-                    "align": json.dumps(obj["align"], ensure_ascii=False),
-                }
-