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Faso Speech Dioula Digits

A spoken-digit classification dataset in Dioula (Jula/Bambara), built from the Zenodo record 8320370 archive (DOI: 10.5281/zenodo.8320370).

Each clip is one speaker saying a single digit, 1 through 4, in Dioula. Recordings vary in speaker, accent, and recording environment.

Dataset Summary

Split Rows Duration Per-class rows
train 1,532 01:34:14.9 383 / 383 / 383 / 383
validation 168 00:10:08.2 42 / 42 / 42 / 42

The split is a deterministic, per-class 90/10 hold-out (seed 42), so both splits have an even class balance across digits 1-4.

Data Fields

Column Description
audio Embedded Hugging Face Audio(decode=False) value with bytes and path
text The spoken digit as a string ("1"-"4")
label The spoken digit as a ClassLabel (0-3, names "1"-"4")
language dyu
duration Clip duration in seconds
id Stable identifier, dioula-digits:Class_<n>/<original_file_stem>
content_type spoken-digit
source zenodo-8320370
license CC-BY-4.0
attribution Source authors, see below
source_url https://zenodo.org/records/8320370

Usage

from datasets import Audio, load_dataset

ds = load_dataset("madoss/faso-speech-dioula-digits")
ds = ds.cast_column("audio", Audio(decode=False))

print(ds["train"][0]["text"], ds["train"][0]["label"])
print(ds["train"][0]["audio"])

Source Data

Original archive: AudiosDioula.zip, four folders Class_1-Class_4, one .wav file per recording, no changes made to the audio itself. Rows were grouped by folder into label/text.

Per the source README, the data was collected for the research project "Setting up a speech recognition model for under-resourced languages", targeting a Dioula digit-recognition model.

Licensing and Attribution

Licensed CC-BY-4.0 by the original authors:

KEITA Zakaria Cheick Oumar and BATONIO Fabrice (Universite de Bordeaux / UNB / ESI). Data collection managed by NABALOUM Emile, project managers Dr SOME Borlli Michel and Dr DIALLO Gayo.

If you use this dataset, please credit the original authors and cite the Zenodo record (DOI 10.5281/zenodo.8320370) in addition to this repository.

Related

Part of the madoss Burkina Faso speech data efforts, alongside madoss/faso-speech and madoss/faso-speech-plus. Kept as a separate repo because it is digit classification, not sentence-level ASR, and carries a clear CC-BY-4.0 license.

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