---
license: cc-by-4.0
task_categories:
- table-question-answering
configs:
  - config_name: default
    data_files:
      - split: civics_studies_hs
        path: "ATK_August_2024/mcq_civics_studies_hs.csv"
      - split: social_studies_elem_jhs
        path: "ATK_August_2024/mcq_taiwan_social_studies_elem_jhs.csv"
      - split: mtqs_sicial_studies_elem_jhs
        path: "ATK_August_2024/mtqs_sicial_studies_elem_jhs.csv"
      - split: mtqs_taiwan_literature
        path: "ATK_August_2024/mtqs_taiwan_literature.csv"
---
# Awesome Taiwan Knowledge (ATK) Dataset

The Awesome Taiwan Knowledge (ATK) Dataset is a comprehensive collection of questions and answers designed to evaluate artificial intelligence models' understanding of Taiwan-specific information. This unique dataset addresses the growing need for culturally nuanced AI performance metrics, particularly for models claiming global competence.

## Key Features:

1. **Taiwan-Centric Content:** Covers a wide range of topics uniquely relevant to Taiwan, including history, culture, politics, education, and current affairs.

2. **Diverse Question Formats:**
   - Multiple-choice questions for quantitative assessment
   - Multi-turn dialogue questions to evaluate contextual understanding and conversational abilities

3. **Expert-Validated Answers:** All responses are meticulously curated and verified by qualified Taiwanese educators and subject matter experts.

4. **Detailed Explanations:** Each question is accompanied by in-depth explanations, providing context and educational value beyond mere right/wrong evaluations.

5. **Continuous Updates:** The dataset is regularly refreshed to include current events and evolving cultural nuances.

## Focused Subject Areas:

The ATK Dataset collects questions from key educational domains, ensuring comprehensive coverage of Taiwan-specific knowledge:

1. Civic Studies for High School
2. Social Studies for Elementary School and Junior High
3. Taiwan Literature for K-12
4. Taiwan Geography
5. Taiwan History

These areas represent core components of Taiwan's educational curriculum, providing a robust foundation for assessing AI models' understanding of Taiwan's societal, cultural, and geographical landscape.

## Purpose:

- Benchmark AI models' proficiency in Taiwan-specific knowledge
- Identify gaps in AI systems' understanding of localized information
- Promote the development of more culturally aware and inclusive AI models
- Provide a standardized tool for comparing different AI models' performance on Taiwan-related queries

## Current Status:

The ATK Dataset is in active development, with ongoing data collection from local educators and experts. A comprehensive benchmarking report, evaluating various AI models against this dataset, is forthcoming.

## Significance:

This dataset aims to highlight the importance of cultural and regional knowledge in AI systems, encouraging developers to create more inclusive and globally competent models. By focusing on Taiwan-specific information, the ATK Dataset addresses a critical gap in current AI evaluation metrics.

## Evaluation:

Here's the table using claude as the evaluation model to see how GPT-4o, Claude sonnet 3.5 and Gemini perform on answering the questions:

| Model | Subject | (1) Overall Model Response Accuracy | (2) Model Response Confidence Average (0-100) | (3) Model Response Key Confidence Average |
|-------|---------|-------------------------------------|---------------------------------------------|------------------------------------------|
| GPT-4o | Overall | 70.35% | 75.11 | 63.61 |
| | Elementary School Civics Studies | 94.00% | 76.52 | 65.00 |
| | High School Taiwan Literature | 78.89% | 83.52 | 74.21 |
| | High School Society Studies | 26.32% | 71.20 | 66.71 |
| | Junior High Society Studies | 69.29% | 67.16 | 58.57 |
| Claude 3.5 Sonnet | Overall | 53.76% | 85.44 | 63.13 |
| | Elementary School Civics Studies | 67.33% | 85.20 | 50.20 |
| | High School Taiwan Literature | 50.00% | 87.22 | 67.56 |
| | High School Society Studies | 21.05% | 67.60 | 81.20 |
| | Junior High Society Studies | 49.61% | 84.84 | 48.75 |
| Gemini Output | Overall | 32.68% | 83.34 | 32.54 |
| | Elementary School Civics Studies | 47.33% | 79.65 | 21.19 |
| | High School Taiwan Literature | 44.44% | 85.13 | 36.10 |
| | High School Society Studies | 8.42% | 91.25 | 43.91 |
| | Junior High Society Studies | 25.98% | 84.70 | 29.79 |

**Key Observations:**

- Subject-wise Performance:
  - Elementary School Civics Studies: All models performed relatively well here, with GPT-4 leading (94%), followed by Claude (67.33%), and Gemini (47.33%)
  - High School Taiwan Literature: GPT-4 showed strong performance (78.89%), while Claude (50%) and Gemini (44.44%) were notably lower
  - High School Society Studies: All models struggled here, with particularly low accuracy (GPT-4: 26.32%, Claude: 21.05%, Gemini: 8.42%)


- Confidence Levels:


`Interestingly, all models showed relatively high confidence (mostly above 70%) despite varying accuracy levels
Claude 3.5 Sonnet and Gemini often showed higher confidence than GPT-4, despite lower accuracy
This suggests potential overconfidence issues, particularly in Gemini and Claude`


- Strongest Areas:
  - GPT-4: Elementary School Civics Studies (94%)
  - Claude: Elementary School Civics Studies (67.33%)
  - Gemini: Elementary School Civics Studies (47.33%)

## Contributors
| 年級 | 領域     | 教師名稱 | 學校     |
|------|----------|----------|----------|
| 小學 | 公民     | 朱堯麟   | 退休     |
| 國中 | 台灣文學 | 陳雅娟   | 竹北國中 |
| 高中 | 公民     | 廖宗德   | 六家高中 |
| |      |  and 5  more annonymous contributors  |  |