Datasetpublic

ghanaopenai/ghana-female-twi-speech-asr-full-length

This dataset is shared under CC BY-NC 4.0, which means you are free to use, share, and adapt it for non-commercial research and educational purposes with attribution. You can read the full license at https://creativecommons.org/licenses/by-nc/4.0/. Audio-text dataset with 76 pairs of Twi (Ghanaian language) speech data. Structure audio/ - WAV audio files ({len(pairs)} files) text/ - Corresponding text transcripts ({len(pairs)} files) dataset_manifest.json - Links audio to… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/ghana-female-twi-speech-asr-full-length.

sourceHugging Facecc-by-nc-4.0updated 3mo agoView on Hugging Face

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Dataset Card

This dataset is shared under CC BY-NC 4.0, which means you are free to use, share, and adapt it for non-commercial research and educational purposes with attribution. You can read the full license at https://creativecommons.org/licenses/by-nc/4.0/.

Audio-text dataset with 76 pairs of Twi (Ghanaian language) speech data.

Structure

—audio/ - WAV audio files ({len(pairs)} files)
—text/ - Corresponding text transcripts ({len(pairs)} files)
—dataset_manifest.json - Links audio to text files

Usage

python

import json
from datasets import load_dataset, Audio

# Load manifest
with open("dataset_manifest.json") as f:
    manifest = json.load(f)

# Create dataset from files
from datasets import Dataset

dataset = Dataset.from_list([
    {{"id": m["id"], "audio": m["audio"], "text": open(m["text"]).read()}}
    for m in manifest
])
dataset = dataset.cast_column("audio", Audio())

# Or download from HF and use locally
from huggingface_hub import hf_hub_download
audio_path = hf_hub_download(repo_id="{repo_id}", filename="audio/chunk_01.wav")

Note

Files are stored as raw audio/text for easy access. The manifest links each audio file to its transcript.