| --- |
| 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](https://kare-health.vercel.app), 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](https://raw.githubusercontent.com/Vikky-Ajayi/Kare/main/docs/Kare_Benchmark_Report.pdf) |
| 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. |
|
|
| ## Contents |
|
|
| 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](https://huggingface.co/datasets/intronhealth/AfriSwitchCare). |
| Kare's full benchmark, code and submission materials: |
| https://github.com/Vikky-Ajayi/Kare |
|
|
