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--- |
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license: cc-by-4.0 |
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task_categories: |
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- table-question-answering |
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configs: |
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- config_name: default |
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data_files: |
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- split: civics_studies_hs |
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path: "ATK_August_2024/mcq_civics_studies_hs.csv" |
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- split: social_studies_elem_jhs |
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path: "ATK_August_2024/mcq_taiwan_social_studies_elem_jhs.csv" |
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- split: mtqs_sicial_studies_elem_jhs |
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path: "ATK_August_2024/mtqs_sicial_studies_elem_jhs.csv" |
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- split: mtqs_taiwan_literature |
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path: "ATK_August_2024/mtqs_taiwan_literature.csv" |
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--- |
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# Awesome Taiwan Knowledge (ATK) Dataset |
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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. |
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## Key Features: |
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1. **Taiwan-Centric Content:** Covers a wide range of topics uniquely relevant to Taiwan, including history, culture, politics, education, and current affairs. |
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2. **Diverse Question Formats:** |
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- Multiple-choice questions for quantitative assessment |
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- Multi-turn dialogue questions to evaluate contextual understanding and conversational abilities |
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3. **Expert-Validated Answers:** All responses are meticulously curated and verified by qualified Taiwanese educators and subject matter experts. |
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4. **Detailed Explanations:** Each question is accompanied by in-depth explanations, providing context and educational value beyond mere right/wrong evaluations. |
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5. **Continuous Updates:** The dataset is regularly refreshed to include current events and evolving cultural nuances. |
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## Focused Subject Areas: |
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The ATK Dataset collects questions from key educational domains, ensuring comprehensive coverage of Taiwan-specific knowledge: |
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1. Civic Studies for High School |
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2. Social Studies for Elementary School and Junior High |
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3. Taiwan Literature for K-12 |
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4. Taiwan Geography |
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5. Taiwan History |
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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. |
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## Purpose: |
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- Benchmark AI models' proficiency in Taiwan-specific knowledge |
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- Identify gaps in AI systems' understanding of localized information |
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- Promote the development of more culturally aware and inclusive AI models |
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- Provide a standardized tool for comparing different AI models' performance on Taiwan-related queries |
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## Current Status: |
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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. |
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## Significance: |
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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. |
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## Evaluation: |
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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: |
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| Model | Subject | (1) Overall Model Response Accuracy | (2) Model Response Confidence Average (0-100) | (3) Model Response Key Confidence Average | |
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|-------|---------|-------------------------------------|---------------------------------------------|------------------------------------------| |
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| GPT-4o | Overall | 70.35% | 75.11 | 63.61 | |
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| | Elementary School Civics Studies | 94.00% | 76.52 | 65.00 | |
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| | High School Taiwan Literature | 78.89% | 83.52 | 74.21 | |
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| | High School Society Studies | 26.32% | 71.20 | 66.71 | |
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| | Junior High Society Studies | 69.29% | 67.16 | 58.57 | |
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| Claude 3.5 Sonnet | Overall | 53.76% | 85.44 | 63.13 | |
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| | Elementary School Civics Studies | 67.33% | 85.20 | 50.20 | |
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| | High School Taiwan Literature | 50.00% | 87.22 | 67.56 | |
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| | High School Society Studies | 21.05% | 67.60 | 81.20 | |
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| | Junior High Society Studies | 49.61% | 84.84 | 48.75 | |
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| Gemini Output | Overall | 32.68% | 83.34 | 32.54 | |
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| | Elementary School Civics Studies | 47.33% | 79.65 | 21.19 | |
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| | High School Taiwan Literature | 44.44% | 85.13 | 36.10 | |
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| | High School Society Studies | 8.42% | 91.25 | 43.91 | |
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| | Junior High Society Studies | 25.98% | 84.70 | 29.79 | |
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**Key Observations:** |
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- Subject-wise Performance: |
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- Elementary School Civics Studies: All models performed relatively well here, with GPT-4 leading (94%), followed by Claude (67.33%), and Gemini (47.33%) |
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- High School Taiwan Literature: GPT-4 showed strong performance (78.89%), while Claude (50%) and Gemini (44.44%) were notably lower |
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- High School Society Studies: All models struggled here, with particularly low accuracy (GPT-4: 26.32%, Claude: 21.05%, Gemini: 8.42%) |
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- Confidence Levels: |
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`Interestingly, all models showed relatively high confidence (mostly above 70%) despite varying accuracy levels |
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Claude 3.5 Sonnet and Gemini often showed higher confidence than GPT-4, despite lower accuracy |
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This suggests potential overconfidence issues, particularly in Gemini and Claude` |
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- Strongest Areas: |
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- GPT-4: Elementary School Civics Studies (94%) |
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- Claude: Elementary School Civics Studies (67.33%) |
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- Gemini: Elementary School Civics Studies (47.33%) |
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## Contributors |
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| 年級 | 領域 | 教師名稱 | 學校 | |
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|------|----------|----------|----------| |
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| 小學 | 公民 | 朱堯麟 | 退休 | |
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| 國中 | 台灣文學 | 陳雅娟 | 竹北國中 | |
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| 高中 | 公民 | 廖宗德 | 六家高中 | |
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| | | and 5 more annonymous contributors | | |