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Prompts Exam Question Classifier by Chapter and Type

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Exam Question Classifier by Chapter and Type

Instructs the model to act as an expert academic analyst, classifying all questions from a question paper PDF by chapter and type (Definition & Conceptual, Mathematical/Analytical,…

PROMPT 

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:

1. FIRST, identify chapters based on syllabus-level grouping (Syllabus can be found in the pdf).
2. THEN group questions under appropriate chapters.
3. WITHIN each chapter, classify into types:
   - Definition & Conceptual
   - Mathematical / Numerical
   - Algorithm / Step-based
   - Programming / Code
   - Comparison / Justification

4. PRESERVE original wording of each question. (Paraphrase to shorten without losing context)
5. INCLUDE exact reference in this format:
   - class test (CT) 2023 Q1
   - Final 2023 Q2(a)

6. DO NOT skip any question.
7. 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.
8. DO NOT explain anything — ONLY classification output.
9. Maintain clean spacing and readability.

10. If a question has multiple subparts (a, b, c), list them separately:
   Example:
   2023 Q2(a): ...
   2023 Q2(b): ...

11. If chapter is unclear, infer based on topic intelligently.

12. Prioritize accuracy over speed.

13. Add frequency tags like [Repeated X times], [High Frequency]

14. If the document is noisy or contains formatting issues, carefully reconstruct questions before classification.

REQUIRED CONTEXT

  • question paper PDF

OPTIONAL CONTEXT

  • syllabus

ROLES & RULES

Role assignments

  • Act as an expert academic analyst and exam pattern extractor.
  1. Identify chapters based on syllabus-level grouping.
  2. Group questions under appropriate chapters.
  3. Classify into types: Definition & Conceptual, Mathematical / Numerical, Algorithm / Step-based, Programming / Code, Comparison / Justification.
  4. Preserve original wording of each question.
  5. Include exact reference in specified format.
  6. Do not skip any question.
  7. Merge questions only if they are extremely same and add a number tag.
  8. Do not explain anything — ONLY classification output.
  9. Maintain clean spacing and readability.
  10. List multiple subparts separately.
  11. Infer chapter if unclear based on topic.
  12. Prioritize accuracy over speed.
  13. Add frequency tags like [Repeated X times], [High Frequency]
  14. Carefully reconstruct questions if document is noisy.

EXPECTED OUTPUT

Format
markdown
Schema
markdown_sections · Classification of Questions by Chapter and Type, Chapter X: [Chapter Name], X.1 Definition & Conceptual Questions, X.2 Mathematical/Analytical Questions, X.3 Algorithm / Procedural Questions, X.4 Programming / Implementation Questions, X.5 Comparison / Justification Questions
Constraints
  • STRICT — MUST FOLLOW EXACTLY
  • ONLY classification output
  • DO NOT explain anything
  • Maintain clean spacing and readability
  • Preserve original wording
  • Include exact references
  • List subparts separately
  • Add frequency tags if applicable

SUCCESS CRITERIA

  • Classify ALL questions into chapters and types.
  • Preserve original question wording with minimal paraphrase.
  • Include exact year/exam and question references.
  • Handle subparts separately.
  • Add frequency indicators.
  • Ensure clean, readable output.

FAILURE MODES

  • Skipping any questions.
  • Adding explanations outside classification.
  • Incorrect chapter or type assignment.
  • Over-paraphrasing questions.
  • Merging non-identical questions.
  • Failing to reconstruct noisy questions.

CAVEATS

Dependencies
  • question paper PDF
  • Syllabus in the PDF
Missing context
  • Thresholds for 'High Frequency' or merging criteria.
  • Subject/domain if not evident from PDF syllabus.
Ambiguities
  • Conflict between 'PRESERVE original wording of each question' and '(Paraphrase to shorten without losing context)'.
  • Unclear placement of frequency tags like '[Repeated X times]'.

QUALITY

OVERALL
0.90
CLARITY
0.90
SPECIFICITY
0.95
REUSABILITY
0.85
COMPLETENESS
0.88

IMPROVEMENT SUGGESTIONS

  • Resolve wording conflict: replace 'Paraphrase to shorten without losing context' with 'Quote full question text exactly, truncating only if excessively long (e.g., >200 words) with [...]'.
  • Specify frequency tag placement: 'Add at the end of each question type section, e.g., [Repeated 3 times]' and define thresholds (e.g., High Frequency if >=3).
  • Add a small example output snippet after OUTPUT FORMAT.
  • Clarify merging: 'Merge only if questions are identical word-for-word across exams.'

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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