| --- |
| language: |
| - zh |
| license: cc-by-4.0 |
| task_categories: |
| - question-answering |
| - text-generation |
| tags: |
| - legal |
| - taiwan |
| - ai-law |
| - traditional-chinese |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # 台灣人工智慧基本法 訓練資料集 |
|
|
| Taiwan AI Basic Law (人工智慧基本法) Q&A dataset for LLM finetuning. |
|
|
| ## Dataset Description |
|
|
| - **Language**: Traditional Chinese (繁體中文) |
| - **Domain**: Taiwan AI Basic Law (台灣人工智慧基本法), 20 articles |
| - **Format**: JSONL with chat messages (user/assistant) |
| - **Publication Date**: 民國115年（2026年）1月14日 |
|
|
| ## Files |
|
|
| | File | Description | Entries | |
| |------|-------------|---------| |
| | `train.jsonl` | Full training dataset with oversampling | ~5000 | |
| | `fulltext.jsonl` | Clean article fulltext (20 articles) | 38 | |
|
|
| ## Data Composition |
|
|
| | Category | Unique | Repeat | Purpose | |
| |----------|--------|--------|---------| |
| | Article Fulltext Q&A | ~157 | x15 | Verbatim article text with topic anchors | |
| | Alias Recognition | ~109 | x10 | 「基本法」「AI基本法」→ 人工智慧基本法 | |
| | Legislative Reasons | ~35 | x3 | Background rationale | |
| | Topic Mapping | ~20 | x15 | Article number ↔ topic | |
| | Comprehensive Q&A | ~8 | x15 | Cross-article questions | |
| | Taiwan Context | ~4 | x15 | Anti-hallucination (not Chinese law) | |
| | Publication Date | ~22 | x15-20 | 民國115年（2026年）1月14日 | |
| | Article Reinforcement | ~8 | x20 | Fix stubborn misalignment | |
|
|
| ## Data Format |
|
|
| Each line is a JSON object with `messages` array (Mistral chat format, system prompt merged into user message): |
|
|
| ```json |
| { |
| "messages": [ |
| { |
| "role": "user", |
| "content": "你是一位熟悉台灣人工智慧基本法的法律助理，請根據法條內容精確回答問題。\n\n請列出人工智慧基本法第3條全文" |
| }, |
| { |
| "role": "assistant", |
| "content": "人工智慧基本法第3條（第三條，主題：人工智慧定義）：「本法所稱人工智慧...」" |
| } |
| ] |
| } |
| ``` |
|
|
| ## Key Design Decisions |
|
|
| 1. **Topic Anchors**: Answers include `第X條（第X條，主題：YYY）` to prevent article number misalignment |
| 2. **Oversampling**: Correct answers repeated 10-20x to override base model's prior knowledge |
| 3. **Data Consistency**: All entries use consistent year (民國115年/2026年) to avoid conflicting signals |
| 4. **Anti-Hallucination**: Explicit entries stating "Taiwan law, not Chinese law" and "20 articles total" |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| dataset = load_dataset("json", data_files="train.jsonl") |
| ``` |
|
|
| ## Related |
|
|
| - Model: [iamjry/ai-basic-law-ministral8b](https://huggingface.co/iamjry/ai-basic-law-ministral8b) |
| - GGUF: [iamjry/ai-basic-law-ministral8b-GGUF](https://huggingface.co/iamjry/ai-basic-law-ministral8b-GGUF) |
|
|
| ## License |
|
|
| CC-BY-4.0 |
|
|
