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affectexpect/t9p3c8m1-axr4e6_tran

affectexpect/t9p3c8m1-axr4e6_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: 8,901 Total batches: 5183 Audio folders: 6… See the full description on the dataset page: https://huggingface.co/datasets/affectexpect/t9p3c8m1-axr4e6_tran.

sourceHugging Facemitupdated 10mo agoView on Hugging Face
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Dataset Card

affectexpect/t9p3c8m1-axr4e6_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: 8,901
  • —Total batches: 5183
  • —Audio folders: 6
  • —Files per folder: max 5000

Loading the Dataset

python
from datasets import load_dataset

# Load the complete dataset
dataset = load_dataset("affectexpect/t9p3c8m1-axr4e6_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.
affectexpect/t9p3c8m1-axr4e6_tran · CoolFace