| --- |
| license: cc-by-4.0 |
| language: |
| - en |
| task_categories: |
| - text-generation |
| - question-answering |
| tags: |
| - africa |
| - math_code |
| - math |
| - coding |
| - word-problems |
| - USSD |
| - mobile-money |
| - east-africa |
| - west-africa |
| - african-languages |
| size_categories: |
| - n<1K |
| --- |
| |
| # Math & Code — African Context Dataset |
|
|
| Instruction-tuning dataset covering math and coding in African contexts: word problems with African currencies (UGX, KES, NGN), names, geography, and real-world scenarios (mobile money, market trading, farming); coding challenges for USSD systems, mobile money APIs, SMS gateways, agricultural data pipelines, and multilingual NLP — grounded via web search, generated with gemini-2.5-flash. |
|
|
| ## Dataset Details |
|
|
| - **Rows:** 331 |
| - **Regions covered:** Uganda, Kenya, Tanzania, Rwanda, Nigeria, Ghana, Ethiopia, South Africa, pan-African |
| - **Generation model:** gemini-2.5-flash (Google Search grounding + document understanding) |
| - **Format:** Parquet, instruction-tuning schema |
| - **Fields:** `instruction`, `input`, `output`, `region`, `topic`, `category`, |
| `source_title`, `source_url`, `seed_query`, `generated_by`, `generated_at` |
|
|
| ## Sourcing & Grounding |
|
|
| Records were generated via web-grounded search queries and/or local reference |
| documents. Each record retains its source title/URL where available for |
| traceability and downstream verification. Records without a verifiable |
| grounded source were discarded rather than fabricated. |
|
|
| ## Intended Use |
|
|
| Fine-tuning and evaluation of language models on African-context reasoning |
| for the Math & Code domain, as part of the Adaption Platform Part 2 |
| Challenge submission (Crane AI Labs / AI Studio Uganda). |
|
|
| ## Limitations |
|
|
| - Generated content should be spot-checked before use in high-stakes |
| (e.g. medical, legal, financial) downstream applications. |
| - Regional coverage is not perfectly balanced across all listed countries; |
| see the `region` column distribution before use. |
|
|
| ## Citation |
|
|
| Generated by Crane AI Labs / AI Studio Uganda for the Adaption Platform |
| Part 2 Challenge, August 2026. |
|
|
