emix-1/unbound009_2_tran

emix-1/unbound0092tran

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: 3,174
• —Total batches: 1409
• —Audio folders: 2
• —Files per folder: max 5000

Loading the Dataset

from datasets import load_dataset

# Load the complete dataset
dataset = load_dataset("emix-1/unbound009_2_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.