README.md

---
license: mit
task_categories:
- automatic-speech-recognition
language:
- am
- multilingual
---

# emix-1/meba-lib45j_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: 10,022
- Total batches: 6472
- Audio folders: 8
- Files per folder: max 5000

## Loading the Dataset
```python
from datasets import load_dataset

# Load the complete dataset
dataset = load_dataset("emix-1/meba-lib45j_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.