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| 1 |
+
---
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| 2 |
+
pretty_name: OrgStrategy Reasoning 1k (v2)
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| 3 |
+
license: cc-by-4.0
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| 4 |
+
language:
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| 5 |
+
- en
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| 6 |
+
task_categories:
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| 7 |
+
- text-generation
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| 8 |
+
tags:
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| 9 |
+
- business
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| 10 |
+
- strategy
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| 11 |
+
- consulting
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| 12 |
+
- operations
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| 13 |
+
- chain-of-thought
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| 14 |
+
- reasoning
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| 15 |
+
- frameworks
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| 16 |
+
- management
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| 17 |
+
size_categories:
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| 18 |
+
- 1K<n<10K
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| 19 |
+
---
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| 20 |
+
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| 21 |
+
# OrgStrategy Reasoning 1k (v2)
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| 22 |
+
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| 23 |
+
## What This Dataset Is About
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| 24 |
+
|
| 25 |
+
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.
|
| 26 |
+
|
| 27 |
+
### Core Purpose
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| 28 |
+
- **Train models to think strategically** using established business frameworks
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| 29 |
+
- **Provide structured reasoning patterns** for complex problem-solving
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| 30 |
+
- **Bridge the gap** between generic AI responses and domain-specific strategic analysis
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| 31 |
+
- **Enable AI assistants** to provide consultant-quality strategic advice
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| 32 |
+
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| 33 |
+
### Why This Dataset Matters
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| 34 |
+
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| 35 |
+
**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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| 36 |
+
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| 37 |
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**The Solution:** This dataset teaches models to:
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| 38 |
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1. **Identify the right framework** for each problem type
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| 39 |
+
2. **Apply structured analysis** (problem decomposition, root cause analysis, strategic options)
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| 40 |
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3. **Generate actionable plans** with owners, timelines, and budgets
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| 41 |
+
4. **Think like a consultant** using proven methodologies
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| 42 |
+
|
| 43 |
+
## Dataset Structure
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| 44 |
+
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| 45 |
+
### Columns
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| 46 |
+
- **`prompt`**: Business problem with context (sector, metrics, budget, timeline)
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| 47 |
+
- **`reasoning`**: Structured analysis using the specified framework
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| 48 |
+
- **`solution`**: Actionable implementation plan
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| 49 |
+
- **`framework`**: Strategic framework applied (e.g., "Disruptive Innovation", "Blue Ocean")
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| 50 |
+
- **`scenario_type`**: Problem category (finance, people, process, etc.)
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| 51 |
+
|
| 52 |
+
### Framework Distribution
|
| 53 |
+
The dataset covers 9 major strategic frameworks:
|
| 54 |
+
|
| 55 |
+
1. **Competitive Advantage** (124 cases) - Cost leadership vs differentiation strategies
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| 56 |
+
2. **7 Powers** (121 cases) - Scale economies, network effects, switching costs
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| 57 |
+
3. **Lean** (116 cases) - Waste elimination, value stream optimization
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| 58 |
+
4. **Blue Ocean** (115 cases) - Creating uncontested market space
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| 59 |
+
5. **Playing To Win** (110 cases) - 5 strategic choices framework
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| 60 |
+
6. **Five Forces** (108 cases) - Porter's industry structure analysis
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| 61 |
+
7. **Good Strategy** (108 cases) - Diagnosis, guiding policy, coherent actions
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| 62 |
+
8. **Disruptive Innovation** (106 cases) - Christensen's disruption theory
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| 63 |
+
9. **Systems Thinking** (92 cases) - Holistic problem-solving approach
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| 64 |
+
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| 65 |
+
### Scenario Types
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| 66 |
+
- **Finance** (181) - Revenue, costs, profitability challenges
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| 67 |
+
- **People** (176) - HR, talent, organizational development
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| 68 |
+
- **Supply** (175) - Supply chain, procurement, logistics
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| 69 |
+
- **Process** (174) - Operations, workflows, efficiency
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| 70 |
+
- **Customer** (151) - Customer experience, satisfaction
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| 71 |
+
- **Technology** (143) - Digital transformation, IT challenges
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| 72 |
+
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| 73 |
+
## Example Entry
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| 74 |
+
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| 75 |
+
### Prompt
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| 76 |
+
```
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| 77 |
+
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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| 78 |
+
```
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| 79 |
+
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| 80 |
+
### Framework Applied
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| 81 |
+
**Disruptive Innovation** - Focuses on simpler, cheaper solutions that start in overlooked segments and move upmarket
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| 82 |
+
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| 83 |
+
### Reasoning Structure
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| 84 |
+
```xml
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| 85 |
+
<strategic_analysis>
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| 86 |
+
**Framework:** Disruptive Innovation
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| 87 |
+
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| 88 |
+
Disruptive innovation describes how simpler, more affordable solutions initially target overlooked segments and then move upmarket, eventually displacing established products.
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| 89 |
+
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| 90 |
+
**Problem Decomposition:** Cycle time increased due to long queues and poor coordination across departments.
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| 91 |
+
|
| 92 |
+
**Organizational Impact:**
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| 93 |
+
- Marketing team: 7 FTEs
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| 94 |
+
- Operations team: 12 FTEs
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| 95 |
+
- IT team: 5 FTEs
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| 96 |
+
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| 97 |
+
**Root Cause Analysis:**
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| 98 |
+
1. Manual approval processes creating bottlenecks
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| 99 |
+
2. Lack of cross-department coordination
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| 100 |
+
3. Outdated workflow systems
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| 101 |
+
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| 102 |
+
**Strategic Options:**
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| 103 |
+
1. Implement automated workflow system (Disruptive approach)
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| 104 |
+
2. Redesign approval processes (Sustaining approach)
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| 105 |
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3. Cross-train staff for flexibility (Hybrid approach)
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| 106 |
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</strategic_analysis>
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| 107 |
+
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| 108 |
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<action_plan>
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| 109 |
+
1. Deploy automated workflow platform (Owner: IT Director; Timeline: 8 weeks; Budget: $0.15M)
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| 110 |
+
2. Implement cross-department coordination protocols (Owner: Operations Manager; Timeline: 4 weeks; Budget: $0.05M)
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| 111 |
+
3. Train staff on new systems (Owner: HR Director; Timeline: 6 weeks; Budget: $0.08M)
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| 112 |
+
</action_plan>
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| 113 |
+
```
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| 114 |
+
|
| 115 |
+
## How Strategic Frameworks Are Applied
|
| 116 |
+
|
| 117 |
+
Each framework provides a **structured lens** for analysis:
|
| 118 |
+
|
| 119 |
+
- **Disruptive Innovation**: Simpler, cheaper solutions starting in overlooked segments
|
| 120 |
+
- **Blue Ocean**: Eliminate competition by creating new market space
|
| 121 |
+
- **Five Forces**: Analyze industry structure (suppliers, buyers, substitutes, new entrants, rivalry)
|
| 122 |
+
- **7 Powers**: Identify structural advantages (scale, network effects, switching costs)
|
| 123 |
+
- **Lean**: Eliminate waste and optimize value streams
|
| 124 |
+
- **Systems Thinking**: View problems holistically across interconnected parts
|
| 125 |
+
- **Competitive Advantage**: Choose between cost leadership and differentiation
|
| 126 |
+
- **Playing To Win**: Make 5 strategic choices (aspiration, where to play, how to win, capabilities, systems)
|
| 127 |
+
- **Good Strategy**: Diagnose, create guiding policy, design coherent actions
|
| 128 |
+
|
| 129 |
+
## Intended Uses
|
| 130 |
+
|
| 131 |
+
### Primary Applications
|
| 132 |
+
- **Train strategic reasoning models** for business consulting
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| 133 |
+
- **Fine-tune LLMs** for structured problem-solving
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| 134 |
+
- **Develop AI consultants** that apply proven frameworks
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| 135 |
+
- **Create strategic planning assistants** for organizations
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| 136 |
+
|
| 137 |
+
### Research Applications
|
| 138 |
+
- **Study framework application patterns** across different problem types
|
| 139 |
+
- **Analyze reasoning chain effectiveness** in strategic decision-making
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| 140 |
+
- **Develop evaluation metrics** for strategic reasoning quality
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| 141 |
+
- **Compare framework performance** across scenarios
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| 142 |
+
|
| 143 |
+
## Usage Examples
|
| 144 |
+
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| 145 |
+
### Basic Loading
|
| 146 |
+
```python
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| 147 |
+
from datasets import load_dataset
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| 148 |
+
|
| 149 |
+
# Load the dataset
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| 150 |
+
ds = load_dataset("Wildstash/OrgStrategy-Reasoning-1k-v2", split="train")
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| 151 |
+
print(f"Dataset size: {len(ds)}")
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| 152 |
+
print(f"Columns: {ds.column_names}")
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| 153 |
+
```
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| 154 |
+
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| 155 |
+
### Filter by Framework
|
| 156 |
+
```python
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| 157 |
+
# Get all Disruptive Innovation cases
|
| 158 |
+
disruptive_cases = ds.filter(lambda x: x['framework'] == 'Disruptive Innovation')
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| 159 |
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print(f"Disruptive Innovation cases: {len(disruptive_cases)}")
|
| 160 |
+
|
| 161 |
+
# Get all Blue Ocean Strategy cases
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| 162 |
+
blue_ocean_cases = ds.filter(lambda x: x['framework'] == 'Blue Ocean')
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| 163 |
+
print(f"Blue Ocean cases: {len(blue_ocean_cases)}")
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| 164 |
+
```
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| 165 |
+
|
| 166 |
+
### Filter by Scenario Type
|
| 167 |
+
```python
|
| 168 |
+
# Get finance-related scenarios
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| 169 |
+
finance_cases = ds.filter(lambda x: x['scenario_type'] == 'finance')
|
| 170 |
+
print(f"Finance scenarios: {len(finance_cases)}")
|
| 171 |
+
|
| 172 |
+
# Get process optimization cases
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| 173 |
+
process_cases = ds.filter(lambda x: x['scenario_type'] == 'process')
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| 174 |
+
print(f"Process scenarios: {len(process_cases)}")
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| 175 |
+
```
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| 176 |
+
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| 177 |
+
### Training Example
|
| 178 |
+
```python
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| 179 |
+
# Example training loop for strategic reasoning
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| 180 |
+
for example in ds:
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| 181 |
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prompt = example['prompt']
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| 182 |
+
reasoning = example['reasoning']
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| 183 |
+
solution = example['solution']
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| 184 |
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framework = example['framework']
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| 185 |
+
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| 186 |
+
# Use this for fine-tuning your model
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| 187 |
+
training_example = {
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| 188 |
+
"instruction": f"Apply {framework} framework to solve this business problem: {prompt}",
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| 189 |
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"response": f"{reasoning}\n\n{solution}"
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| 190 |
+
}
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| 191 |
+
```
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| 192 |
+
|
| 193 |
+
### Evaluation Example
|
| 194 |
+
```python
|
| 195 |
+
# Evaluate model's framework application
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| 196 |
+
def evaluate_framework_usage(model_output, expected_framework):
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| 197 |
+
return expected_framework.lower() in model_output.lower()
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| 198 |
+
|
| 199 |
+
# Test on a sample
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| 200 |
+
sample = ds[0]
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| 201 |
+
model_response = your_model.generate(sample['prompt'])
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| 202 |
+
framework_correct = evaluate_framework_usage(model_response, sample['framework'])
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| 203 |
+
```
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| 204 |
+
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| 205 |
+
## Dataset Quality
|
| 206 |
+
|
| 207 |
+
### Validation
|
| 208 |
+
- **Framework consistency**: Each entry applies the specified framework correctly
|
| 209 |
+
- **Reasoning structure**: Structured analysis follows consistent patterns
|
| 210 |
+
- **Actionability**: Solutions include owners, timelines, and budgets
|
| 211 |
+
- **Diversity**: Covers multiple sectors, problem types, and frameworks
|
| 212 |
+
|
| 213 |
+
### Limitations
|
| 214 |
+
- **English only**: All content is in English
|
| 215 |
+
- **Business focus**: Primarily corporate/organizational scenarios
|
| 216 |
+
- **Framework scope**: Limited to 9 major strategic frameworks
|
| 217 |
+
- **Synthetic elements**: Some scenarios may be constructed for training purposes
|
| 218 |
+
|
| 219 |
+
## Citation
|
| 220 |
+
|
| 221 |
+
If you use this dataset, please cite:
|
| 222 |
+
|
| 223 |
+
```bibtex
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| 224 |
+
@dataset{wildstash_orgstrategy_2025,
|
| 225 |
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title={OrgStrategy Reasoning 1k (v2): Business Strategy Scenarios with Structured Reasoning},
|
| 226 |
+
author={Wildstash},
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| 227 |
+
year={2025},
|
| 228 |
+
url={https://huggingface.co/datasets/Wildstash/OrgStrategy-Reasoning-1k-v2},
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| 229 |
+
license={CC-BY-4.0}
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| 230 |
+
}
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| 231 |
+
```
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| 232 |
+
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| 233 |
+
## License
|
| 234 |
+
CC-BY-4.0 - You are free to use, modify, and distribute this dataset for any purpose.
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| 235 |
+
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| 236 |
+
|