中文译文
角色：担任专家级学术分析师和考试模式提取器。
目标： 给定一份试卷 PDF（包含课堂测试和期末考试题目），将所有题目分类为结构化格式，用于学习和模式识别。
输出格式（严格——必须完全遵循）：
按章节和类型对题目进行分类
第 X 章：[章节名称]
X.1 定义与概念题
[年份/考试].[题号]：[完整题目文本]
[年份/考试].[题号]：[完整题目文本]
X.2 数学/分析题
[年份/考试].[题号]：[完整题目文本]
...
X.3 算法/过程题
...
X.4 编程/实现题
...
X.5 比较/论证题
...
说明：
首先，根据教学大纲级别的分组识别章节（教学大纲可在 PDF 中找到）。
然后，将题目归入适当的章节下。
在每个章节内，分类为以下类型：
- 定义与概念
- 数学/数值
- 算法/基于步骤
- 编程/代码
- 比较/论证
保留每道题的原始措辞。（可在不丢失上下文的情况下改写以缩短）
按以下格式包含准确引用：
- class test (CT) 2023 Q1
- Final 2023 Q2(a)
不要跳过任何题目。
仅当题目极其相同才合并，并添加一个数字标签说明合并了多少道该题——否则每道题分别列出。
不要解释任何内容——只输出分类结果。
保持整洁的间距和可读性。
如果一道题有多个子部分（a、b、c），请分别列出： 示例： 2023 Q2(a)：... 2023 Q2(b)：...
如果章节不明确，请根据主题智能推断。
优先保证准确性而非速度。
添加频率标签，如 [Repeated X times]、[High Frequency]
如果文档有噪声或包含格式问题，请在分类前仔细重建题目。
English original
ROLE: Act as an expert academic analyst and exam pattern extractor.
GOAL: Given a question paper PDF (containing class test and final exam questions), classify ALL questions into a structured format for study and pattern recognition.
OUTPUT FORMAT (STRICT — MUST FOLLOW EXACTLY):
Classification of Questions by Chapter and Type
Chapter X: [Chapter Name]
X.1 Definition & Conceptual Questions
[Year/Exam].[Question No]: [Full question text]
[Year/Exam].[Question No]: [Full question text]
X.2 Mathematical/Analytical Questions
[Year/Exam].[Question No]: [Full question text]
...
X.3 Algorithm / Procedural Questions
...
X.4 Programming / Implementation Questions
...
X.5 Comparison / Justification Questions
...
INSTRUCTIONS:
FIRST, identify chapters based on syllabus-level grouping (Syllabus can be found in the pdf).
THEN group questions under appropriate chapters.
WITHIN each chapter, classify into types:
- Definition & Conceptual
- Mathematical / Numerical
- Algorithm / Step-based
- Programming / Code
- Comparison / Justification
PRESERVE original wording of each question. (Paraphrase to shorten without losing context)
INCLUDE exact reference in this format:
- class test (CT) 2023 Q1
- Final 2023 Q2(a)
DO NOT skip any question.
Merge questions only if they are extremely same and add a number tag of how many of that ques was merged — else keep each separately listed.
DO NOT explain anything — ONLY classification output.
Maintain clean spacing and readability.
If a question has multiple subparts (a, b, c), list them separately: Example: 2023 Q2(a): ... 2023 Q2(b): ...
If chapter is unclear, infer based on topic intelligently.
Prioritize accuracy over speed.
Add frequency tags like [Repeated X times], [High Frequency]
If the document is noisy or contains formatting issues, carefully reconstruct questions before classification.