README.md

metadata

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

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.