Update README: 6,456 files uploaded

README.md

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+---
+license: mit
+task_categories:
+- automatic-speech-recognition
+language:
+- am
+- multilingual
+---
+
+# Sam04/BlueLionEcho_tran
+
+This dataset contains transcribed audio files organized in folders for scalability.
+
+## Dataset Structure
+
+The dataset is organized with:
+- **Audio files**: Stored in `audio_XXXXX/` folders (5000 files per folder)
+- **Metadata**: Stored in `data_XXXXX/` folders as parquet files
+
+This organization follows Hugging Face best practices for datasets with millions of files.
+
+## Statistics
+
+- Total files: 6,456
+- Total batches: 2525
+- Audio folders: 3
+- Files per folder: max 5000
+
+## Loading the Dataset
+```python
+from datasets import load_dataset
+
+# Load the complete dataset
+dataset = load_dataset("Sam04/BlueLionEcho_tran")
+
+# The 'audio' column contains paths like "audio_00000/0000000001_filename.wav"
+# Files are automatically resolved when accessing the dataset
+```
+
+## Folder Organization
+
+Audio files are distributed across folders to respect HuggingFace storage limits:
+- `audio_00000/`: Files 0-4,999
+- `audio_00001/`: Files 5,000-9,999
+- etc.
+
+Metadata (parquet files) are grouped by batch ranges:
+- `data_00000/batches_0000000001_to_0000000020.parquet`
+- etc.