Everyday life
Academic analyst and exam pattern extractor
- Tested with:
- GPT-4o
- Effectiveness:
- 90/100
- Prompt archive
English version
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.
Fill in and run
This prompt has 6 blanks. Fill them in and we will assemble the finished prompt for you.
6 still empty
Finished 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.
- Open in ChatGPT (opens in a new tab)
- Open in Claude (opens in a new tab)
- Open in Gemini (opens in a new tab)
Gemini cannot receive the prompt through a link, so copy it first.
- Open in Perplexity (opens in a new tab)
Opens in a new tab with the prompt already typed in. You may need to be signed in.
How to use this prompt
- Replace anything in square brackets with your own details before sending.
- Results differ between models. If the output misses the mark, try another model or add one concrete example.
- Keep the prompt in one message. Splitting it across turns weakens the instructions.