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- ---
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- pretty_name: OrgStrategy Reasoning 1k (v2)
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- license: cc-by-4.0
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- language:
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- - en
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- task_categories:
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- - text-generation
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- tags:
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- - business
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- - strategy
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- - consulting
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- - operations
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- - chain-of-thought
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- - reasoning
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- - frameworks
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- - management
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- size_categories:
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- - 1K<n<10K
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- ---
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-
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- # OrgStrategy Reasoning 1k (v2)
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-
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- ## What This Dataset Is About
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-
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- This dataset contains **1,000 real-world business strategy scenarios** with structured reasoning chains that teach AI models to apply proven strategic frameworks to complex organizational problems.
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-
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- ### Core Purpose
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- - **Train models to think strategically** using established business frameworks
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- - **Provide structured reasoning patterns** for complex problem-solving
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- - **Bridge the gap** between generic AI responses and domain-specific strategic analysis
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- - **Enable AI assistants** to provide consultant-quality strategic advice
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-
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- ### Why This Dataset Matters
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-
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- **The Problem:** Most AI models give generic business advice without applying proven strategic frameworks. They lack the structured thinking that consultants use to solve complex organizational challenges.
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-
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- **The Solution:** This dataset teaches models to:
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- 1. **Identify the right framework** for each problem type
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- 2. **Apply structured analysis** (problem decomposition, root cause analysis, strategic options)
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- 3. **Generate actionable plans** with owners, timelines, and budgets
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- 4. **Think like a consultant** using proven methodologies
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-
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- ## Dataset Structure
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-
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- ### Columns
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- - **`prompt`**: Business problem with context (sector, metrics, budget, timeline)
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- - **`reasoning`**: Structured analysis using the specified framework
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- - **`solution`**: Actionable implementation plan
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- - **`framework`**: Strategic framework applied (e.g., "Disruptive Innovation", "Blue Ocean")
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- - **`scenario_type`**: Problem category (finance, people, process, etc.)
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-
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- ### Framework Distribution
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- The dataset covers 9 major strategic frameworks:
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-
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- 1. **Competitive Advantage** (124 cases) - Cost leadership vs differentiation strategies
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- 2. **7 Powers** (121 cases) - Scale economies, network effects, switching costs
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- 3. **Lean** (116 cases) - Waste elimination, value stream optimization
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- 4. **Blue Ocean** (115 cases) - Creating uncontested market space
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- 5. **Playing To Win** (110 cases) - 5 strategic choices framework
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- 6. **Five Forces** (108 cases) - Porter's industry structure analysis
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- 7. **Good Strategy** (108 cases) - Diagnosis, guiding policy, coherent actions
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- 8. **Disruptive Innovation** (106 cases) - Christensen's disruption theory
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- 9. **Systems Thinking** (92 cases) - Holistic problem-solving approach
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-
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- ### Scenario Types
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- - **Finance** (181) - Revenue, costs, profitability challenges
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- - **People** (176) - HR, talent, organizational development
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- - **Supply** (175) - Supply chain, procurement, logistics
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- - **Process** (174) - Operations, workflows, efficiency
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- - **Customer** (151) - Customer experience, satisfaction
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- - **Technology** (143) - Digital transformation, IT challenges
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-
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- ## Example Entry
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-
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- ### Prompt
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- ```
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- Healthcare sector: orders processed worsened from 120units/day to 80units/day because of Cycle time increased due to long queues and poor coordination across departments. Budget: $0.41M. Timeline: 5 months. Apply Disruptive Innovation.
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- ```
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-
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- ### Framework Applied
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- **Disruptive Innovation** - Focuses on simpler, cheaper solutions that start in overlooked segments and move upmarket
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-
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- ### Reasoning Structure
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- ```xml
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- <strategic_analysis>
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- **Framework:** Disruptive Innovation
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-
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- Disruptive innovation describes how simpler, more affordable solutions initially target overlooked segments and then move upmarket, eventually displacing established products.
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-
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- **Problem Decomposition:** Cycle time increased due to long queues and poor coordination across departments.
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-
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- **Organizational Impact:**
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- - Marketing team: 7 FTEs
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- - Operations team: 12 FTEs
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- - IT team: 5 FTEs
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-
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- **Root Cause Analysis:**
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- 1. Manual approval processes creating bottlenecks
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- 2. Lack of cross-department coordination
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- 3. Outdated workflow systems
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-
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- **Strategic Options:**
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- 1. Implement automated workflow system (Disruptive approach)
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- 2. Redesign approval processes (Sustaining approach)
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- 3. Cross-train staff for flexibility (Hybrid approach)
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- </strategic_analysis>
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-
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- <action_plan>
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- 1. Deploy automated workflow platform (Owner: IT Director; Timeline: 8 weeks; Budget: $0.15M)
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- 2. Implement cross-department coordination protocols (Owner: Operations Manager; Timeline: 4 weeks; Budget: $0.05M)
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- 3. Train staff on new systems (Owner: HR Director; Timeline: 6 weeks; Budget: $0.08M)
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- </action_plan>
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- ```
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-
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- ## How Strategic Frameworks Are Applied
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- Each framework provides a **structured lens** for analysis:
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- - **Disruptive Innovation**: Simpler, cheaper solutions starting in overlooked segments
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- - **Blue Ocean**: Eliminate competition by creating new market space
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- - **Five Forces**: Analyze industry structure (suppliers, buyers, substitutes, new entrants, rivalry)
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- - **7 Powers**: Identify structural advantages (scale, network effects, switching costs)
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- - **Lean**: Eliminate waste and optimize value streams
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- - **Systems Thinking**: View problems holistically across interconnected parts
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- - **Competitive Advantage**: Choose between cost leadership and differentiation
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- - **Playing To Win**: Make 5 strategic choices (aspiration, where to play, how to win, capabilities, systems)
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- - **Good Strategy**: Diagnose, create guiding policy, design coherent actions
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-
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- ## Intended Uses
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-
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- ### Primary Applications
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- - **Train strategic reasoning models** for business consulting
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- - **Fine-tune LLMs** for structured problem-solving
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- - **Develop AI consultants** that apply proven frameworks
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- - **Create strategic planning assistants** for organizations
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-
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- ### Research Applications
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- - **Study framework application patterns** across different problem types
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- - **Analyze reasoning chain effectiveness** in strategic decision-making
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- - **Develop evaluation metrics** for strategic reasoning quality
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- - **Compare framework performance** across scenarios
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-
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- ## Usage Examples
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-
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- ### Basic Loading
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- ```python
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- from datasets import load_dataset
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-
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- # Load the dataset
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- ds = load_dataset("Wildstash/OrgStrategy-Reasoning-1k-v2", split="train")
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- print(f"Dataset size: {len(ds)}")
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- print(f"Columns: {ds.column_names}")
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- ```
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-
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- ### Filter by Framework
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- ```python
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- # Get all Disruptive Innovation cases
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- disruptive_cases = ds.filter(lambda x: x['framework'] == 'Disruptive Innovation')
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- print(f"Disruptive Innovation cases: {len(disruptive_cases)}")
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-
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- # Get all Blue Ocean Strategy cases
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- blue_ocean_cases = ds.filter(lambda x: x['framework'] == 'Blue Ocean')
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- print(f"Blue Ocean cases: {len(blue_ocean_cases)}")
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- ```
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-
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- ### Filter by Scenario Type
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- ```python
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- # Get finance-related scenarios
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- finance_cases = ds.filter(lambda x: x['scenario_type'] == 'finance')
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- print(f"Finance scenarios: {len(finance_cases)}")
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-
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- # Get process optimization cases
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- process_cases = ds.filter(lambda x: x['scenario_type'] == 'process')
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- print(f"Process scenarios: {len(process_cases)}")
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- ```
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-
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- ### Training Example
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- ```python
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- # Example training loop for strategic reasoning
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- for example in ds:
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- prompt = example['prompt']
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- reasoning = example['reasoning']
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- solution = example['solution']
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- framework = example['framework']
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-
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- # Use this for fine-tuning your model
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- training_example = {
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- "instruction": f"Apply {framework} framework to solve this business problem: {prompt}",
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- "response": f"{reasoning}\n\n{solution}"
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- }
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- ```
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-
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- ### Evaluation Example
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- ```python
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- # Evaluate model's framework application
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- def evaluate_framework_usage(model_output, expected_framework):
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- return expected_framework.lower() in model_output.lower()
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-
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- # Test on a sample
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- sample = ds[0]
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- model_response = your_model.generate(sample['prompt'])
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- framework_correct = evaluate_framework_usage(model_response, sample['framework'])
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- ```
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-
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- ## Dataset Quality
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-
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- ### Validation
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- - **Framework consistency**: Each entry applies the specified framework correctly
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- - **Reasoning structure**: Structured analysis follows consistent patterns
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- - **Actionability**: Solutions include owners, timelines, and budgets
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- - **Diversity**: Covers multiple sectors, problem types, and frameworks
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-
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- ### Limitations
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- - **English only**: All content is in English
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- - **Business focus**: Primarily corporate/organizational scenarios
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- - **Framework scope**: Limited to 9 major strategic frameworks
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- - **Synthetic elements**: Some scenarios may be constructed for training purposes
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-
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- ## Citation
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-
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- If you use this dataset, please cite:
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-
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- ```bibtex
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- @dataset{wildstash_orgstrategy_2025,
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- title={OrgStrategy Reasoning 1k (v2): Business Strategy Scenarios with Structured Reasoning},
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- author={Wildstash},
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- year={2025},
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- url={https://huggingface.co/datasets/Wildstash/OrgStrategy-Reasoning-1k-v2},
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- license={CC-BY-4.0}
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- }
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- ```
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-
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- ## License
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- CC-BY-4.0 - You are free to use, modify, and distribute this dataset for any purpose.
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