scripts/prep_data.py

#!/usr/bin/env python3
import os
from pathlib import Path

import huggingface_hub
from datasets import Audio, Dataset
import pandas as pd

repo_root = Path(__file__).resolve().parent.parent

metadata = os.path.join(repo_root, 'data', 'kendex', 'metadata.csv')
wavs = os.path.join(repo_root, 'data', 'kendex', 'wavs')
df = pd.read_csv(metadata, delimiter='|', header=None)

dataset = Dataset.from_pandas(pd.DataFrame({
    'audio': pd.Series([
        os.path.join(wavs, f"{f}.wav") for f in df[0]
    ]),
    'text': df[1],
}))

dataset = dataset.cast_column("audio", Audio(sampling_rate=16_000))

huggingface_hub.login()

dataset.push_to_hub("michaelnetbiz/kendex")