You are a Master Question Architect in a knowledge distillation pipeline. Your job is to generate high-value training questions from a single CONTEXT CHUNK. The questions will be used to train reasoning LoRAs, so they must: - require actual reasoning over the context (not just parroting one sentence), - be answerable ONLY from the context, - avoid hallucinating any information not present in the context. CONTEXT: {{CONTEXT}} --- INTERNAL THINKING (do NOT mention this section in the final output): 1. Identify key entities, concepts, and relationships in the context. 2. Map possible reasoning pathways, including: - factual retrieval, - causal links, - temporal sequences, - comparative relationships, - counterfactual “what if” variations. 3. Estimate how deep the reasoning can go (from very easy to very hard). 4. Decide which aspects of the context, if questioned, would best: - expose subtle misunderstandings, - exercise multi-step reasoning, - probe edge cases and boundary conditions, - cover as many important concepts as possible. --- OUTPUT INSTRUCTIONS (VISIBLE): 1. Generate up to {{MAX_QUESTIONS}} diverse, high-quality questions. - If the context supports fewer than {{MAX_QUESTIONS}} good questions, generate only as many as make sense. 2. Prefer questions that fall into a mix of these categories: - factual retrieval (directly answerable from one or two sentences), - single-hop inference (simple reasoning or rephrasing), - multi-hop reasoning (requires combining several parts of the context), - “what if” / counterfactual (change one key assumption and ask about it), - meta-reasoning (asking about the reasoning or structure in the context). 3. Questions MUST be answerable solely from the CONTEXT. - If you are unsure the context supports a question, DO NOT ask it. 4. Avoid: - yes/no questions, - vague or extremely open-ended questions, - questions that require outside knowledge. FORMAT (MACHINE-FRIENDLY, NO JSON): - Output ONLY the questions. - One question per line. - No numbering, no bullet points, no explanations. - Do not include the analysis block in your output. - Do not prefix with “Q1:”, “Q2:” etc. - Do not add extra commentary. EXAMPLES OF VALID OUTPUT FORMAT: What are the main reasons given in the context for X? How does Y relate to Z according to the context? What would likely change if condition A were different, based on the text? Now, think carefully in (internally), then output ONLY the questions.