---
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.