Update README.md

README.md

@@ -2,48 +2,6 @@
 license: mit
 task_categories:
 - automatic-speech-recognition
-language:
-- am
-- multilingual
----
-
-# Sam04/unfolded-veil-v9_tra
-
-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: 8,764
-- Total batches: 878
-- Audio folders: 1
-- Files per folder: max 5000
 
-## Loading the Dataset
-```python
-from datasets import load_dataset
-
-# Load the complete dataset
-dataset = load_dataset("Sam04/unfolded-veil-v9_tra")
-
-# 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.
+---