Datasets:

Duplicated from vikkyblacq/kare-codeswitch-samples

Cybrpgs
/

kcs

pretty_name: Kare Code-Switching Illustrative Samples
task_categories:
  - automatic-speech-recognition
language:
  - yo
  - ha
  - ig
  - en
tags:
  - code-switching
  - nigerian-languages
  - yoruba
  - hausa
  - igbo
  - pidgin
  - clinical
  - text-to-speech
size_categories:
  - n<1K

Kare — Code-Switching Illustrative Samples

Eight short audio clips demonstrating the English/Yoruba/Hausa/Igbo/Pidgin code-switching that Kare, a voice-first AI health assistant for Nigeria, is built to understand — submitted as part of Kare's entry to the Sahara CodeSwitch Africa Challenge.

What this is — and isn't

Is: eight original sentences, written by the Kare team specifically for this demonstration, mixing everyday Yoruba / Hausa / Igbo / Nigerian Pidgin with embedded English clinical terms — the exact phenomenon Kare's ASR benchmark exists to measure. Audio was synthesized with Sahara (Intron) TTS, the speech API this challenge provides.
Isn't the benchmark corpus itself. Kare's actual benchmark evaluates five ASR models against Intron's own AfriSwitchCare and AfriSwitch datasets — real, professionally-produced datasets gated on Hugging Face (contact-approval and manual-approval respectively). Those aren't ours to redistribute; this repo links to the source instead:
- https://huggingface.co/datasets/intronhealth/AfriSwitchCare
- https://huggingface.co/datasets/intronhealth/AfriSwitch
This dataset is a small, original, fully-owned set built to give reviewers something to actually listen to without going through that gate. No human speaker's voice or identity is involved — every clip is machine-synthesized from text we wrote — so there is no consent or de-identification question to begin with.

8 clips, ~35 seconds total, 2 per language (Yoruba, Hausa, Igbo, Nigerian Pidgin), each pairing everyday matrix-language grammar with embedded English clinical vocabulary (symptom names, drug names). See metadata.csv for the full table (file_name, language_code, language, duration_s, text, english_gloss, voice).

Clip	Language	Duration	Text
yoruba-01	Yoruba	3.48s	Doctor, ara mi gbóná, and mo ní headache láti àárọ̀.
yoruba-02	Yoruba	3.05s	Mo ti mu paracetamol, but the fever ò tíì lọ.
hausa-01	Hausa	4.79s	Likita, ina jin zafi a ciki na, and I've been vomiting since last night.
hausa-02	Hausa	3.44s	Na sha the malaria drugs, but zazzabi bai tafi ba.
igbo-01	Igbo	4.57s	Dọkịta, ahụ na-esi m ike kemgbe ụtụtụ, and my whole body feels weak.
igbo-02	Igbo	2.74s	Ejila m ọgwụ ahụ, but the swelling ka nọ.
pidgin-01	Nigerian Pidgin	7.14s	Doctor, the malaria don come back. My body dey hot since morning, and the sharp pain for my side never stop.
pidgin-02	Nigerian Pidgin	5.40s	I don dey take the tablet wey you give me, but the swelling never really go down.

English glosses for all eight are in metadata.csv.

A note on accuracy

The Pidgin and Yoruba lines were written and checked by the team directly; Hausa and Igbo constructions were written in-house for this demo and are common, everyday phrasing, but have not been reviewed by a native or professional linguist. If something reads oddly to a fluent speaker, treat it as a demo-quality artifact, not a claim of linguistic authority.

Provenance & reuse

Text: original, written by the Kare team for this submission — free to reuse or adapt.
Audio: synthesized via Sahara (Intron) TTS under Kare's access to that API for the Sahara CodeSwitch Africa Challenge; shared here for challenge review. If you want to reuse the audio itself outside that context, check with Intron on Sahara TTS output terms first.
Loading: standard Hugging Face audiofolder layout — load_dataset("vikkyblacq/kare-codeswitch-samples") picks up metadata.csv automatically.

Built for the Sahara CodeSwitch Africa Challenge. Kare's full benchmark, code and submission materials: https://github.com/Vikky-Ajayi/Kare

Kare — Code-Switching Illustrative Samples

What this is — and isn't

Contents

A note on accuracy

Provenance & reuse