---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
- lg
- nyn
- ach
- teo
- lgg
license: cc-by-nc-sa-4.0
multilinguality:
- multilingual
pretty_name: Ugandan Cultural Context Benchmark (UCCB) Suite — Version One
task_categories:
- question-answering
task_ids:
- open-domain-qa
size_categories:
- 1K<n<10K
source_datasets:
- original
---


# Ugandan Cultural Context Benchmark (UCCB) Suite — Version One

## Dataset Summary

The **Ugandan Cultural Context Benchmark (UCCB) Suite** is the first comprehensive question-answering dataset designed to evaluate the cultural understanding and reasoning abilities of Large Language Models (LLMs) concerning Uganda’s multicultural and multilingual environment.

This **Version One** builds upon the original 1,039 question-answer pairs across 24 cultural domains, with enhancements in language diversity, contextual clarity, and category balancing. It emphasizes linguistic richness, factual accuracy, and cultural nuance.

---

## Supported Tasks and Leaderboards

**Primary Task:**  
- Question Answering (Open-book or Closed-book)  
- Suitable for both extractive and generative QA

**Secondary Tasks:**  
- Knowledge probing  
- Fine-tuning culturally aware models  
- Bias detection and mitigation

**Leaderboard:**  
- A public leaderboard is planned using an **LLM-as-a-Judge** rubric with cultural nuance scoring.

---

## Languages

- **Primary Language:** Ugandan English
- **Multilingual Elements:** Includes terms from Luganda, Runyankole, Acholi, Ateso, Lugbara, Runyoro
- Designed to test **code-switching** and **local linguistic awareness**

---

## Dataset Structure

Each instance is a structured QA pair:

```json
{
  "id": "22410",
  "category": "Slang & Local Expressions",
  "question": "What does the term 'rolex' mean in Ugandan slang?",
  "answer": "A 'rolex' is a popular street food in Uganda..."
}
````

### Fields:

* `id`: Unique identifier
* `category`: Cultural domain
* `question`: Textual query for evaluation
* `answer`: Ground-truth culturally contextual response

---

## Coverage & Categories

| Category            | Category                |
| ------------------- | ----------------------- |
| Education           | Attires & Dress Culture |
| Ugandan Herbs       | Value Addition          |
| Media               | Customs                 |
| Economy             | Slang & Expressions     |
| Notable Key Figures | Festivals               |
| Literature          | Food Culture            |
| Architecture        | Geography               |
| Folklore            | Demographics            |
| Language            | History                 |
| Religion            | Traditions & Rituals    |
| Social Norms        | Streetlife              |
| Music               | Sports                  |



* **Total Examples:** 1,039
* **Average per Category:** \~43
* **Split:** `test` only (evaluation use)

---

## Curation Goals

The UCCB Suite was curated to go beyond surface-level recall. Goals include:

* Testing **deeper reasoning** over Uganda-specific content
* Assessing awareness of social dynamics and local idioms
* Ensuring inclusivity across ethnic, gender, and regional dimensions
* Creating a **trusted QA evaluation benchmark** for Ugandan use cases in health, education, governance, and AI fairness

---

## Source Data

* Expert-authored and fact-checked using:

  * Ugandan academic literature and historical texts
  * National archives (e.g., UBOS, UCC)
  * Cultural institutions (e.g., Uganda Museum, Cross Cultural Foundation)
  * National media (e.g., Observer Media)
  * Peer-reviewed ethnographic and linguistic studies

---

## Annotation & Review Process

* Multi-stage human-in-the-loop review
* Flagged and reviewed with a rubric assessing:

  * ✅ Factual Accuracy
  * ✅ Clarity and Cultural Specificity
  * ✅ Representation and Diversity
  * ✅ Bias Detection and Mitigation

---

## Known Limitations

* **Representational Bias:** Slight overrepresentation of central and western cultures
* **Urban-Centric Influence:** Kampala-related examples may be more frequent
* **Cultural Dynamism:** Slang and media categories may age quickly
* **Scope Limitation:** While wide-reaching, it cannot exhaustively cover all \~50 ethnic groups

---

## Licensing

This dataset is licensed under:

**Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)**
[View License](https://creativecommons.org/licenses/by-nc-sa/4.0/)

---

## Citation

```bibtex
@misc{uccb_2025,
  author    = {Lwanga Caleb and Gimei Alex and Kavuma Lameck and Kato Steven Mubiru and Roland Ganafa and Sibomana Glorry and Atuhaire Collins and JohnRoy Nangeso and Bronson Bakunga},
  title     = {The Ugandan Cultural Context Benchmark (UCCB) Suite},
  year      = {2025},
  url       = {https://huggingface.co/datasets/CraneAILabs/UCCB}
}
```

---

## Contributions

Thanks to the core team at **AI Studio Uganda.**

---

## Usage

```python
from datasets import load_dataset

# Load the extended UCCB dataset
dataset = load_dataset("aistudioug/UCCB-Suite")

# View a few examples
sample = dataset["test"].select(range(3))
for row in sample:
    print("Category:", row["category"])
    print("Question:", row["question"])
    print("Answer:", row["answer"])
    print("-" * 30)
```

---