add convert_eo.py

convert_eo.py

@@ -0,0 +1,83 @@
+import os
+import sys
+from dataclasses import is_dataclass
+from datasets import load_dataset
+from datasets.utils.logging import set_verbosity_info, enable_progress_bar
+from omegaconf import OmegaConf
+
+# 开启 datasets 进度条和日志
+set_verbosity_info()
+enable_progress_bar()
+
+# 添加脚本所在路径到 sys.path
+sys.path.append(os.path.join(os.path.dirname(__file__), 'scripts', 'speech_recognition'))
+
+from convert_hf_dataset_to_nemo import HFDatasetConversionConfig, prepare_output_dirs, process_dataset
+
+def convert_eo():
+    # 本地数据集路径
+    dataset_path = os.path.join(os.path.dirname(__file__), "data", "common_voice_11_0")
+    # 输出路径
+    output_dir = os.path.join(os.path.dirname(__file__), "data", "nemo_eo")
+    
+    # 构建配置
+    cfg = HFDatasetConversionConfig(
+        output_dir=output_dir,
+        path=dataset_path,
+        name="eo",
+        ensure_ascii=False,
+        use_auth_token=False,
+        num_proc=8,  # 使用多进程加快速度
+    )
+    
+    # 转换为 OmegaConf
+    if is_dataclass(cfg):
+        cfg = OmegaConf.structured(cfg)
+        
+    # 准备输出目录
+    prepare_output_dirs(cfg)
+    
+    print(f"开始加载数据集 {cfg.path}，语言: {cfg.name}...")
+    print("此过程会进行数据的准备和解压，请耐心等待（可以通过命令行查看进度条）...")
+    
+    # 加载数据集
+    try:
+        dataset = load_dataset(
+            path=cfg.path,
+            name=cfg.name,
+            split=cfg.split,
+            cache_dir=None,
+            streaming=cfg.streaming,
+            token=cfg.use_auth_token,
+            trust_remote_code=True,
+            download_mode="force_redownload",
+        )
+        print("数据集加载完成！")
+    except Exception as e:
+        import traceback
+        print("Failed to load dataset. Traceback:")
+        print(traceback.format_exc())
+        sys.exit(1)
+        
+    print("开始进行格式转换 (HF -> NeMo)...")
+    # 处理数据集
+    if isinstance(dataset, dict):
+        print(f"\nMultiple splits found for dataset {cfg.path}: {list(dataset.keys())}")
+        keys = list(dataset.keys())
+        for key in keys:
+            ds_split = dataset[key]
+            print(f"Processing split {key} for dataset {cfg.path}")
+            cfg.split_output_dir = os.path.join(cfg.resolved_output_dir, key)
+            process_dataset(ds_split, cfg)
+            del dataset[key], ds_split
+            
+        cfg.split_output_dir = None
+    else:
+        print(f"Single split found for dataset {cfg.path} | Split chosen = {cfg.split}")
+        if cfg.split is not None:
+            cfg.split_output_dir = os.path.join(cfg.resolved_output_dir, cfg.split)
+            
+        process_dataset(dataset, cfg)
+
+if __name__ == '__main__':
+    convert_eo()