README.md

---
dataset_info:
  features:
  - name: cq_id
    dtype: string
  - name: stakeholder
    dtype: string
  - name: question
    dtype: string
  - name: why
    dtype: string
  - name: what
    dtype: string
  - name: graph_hint
    dtype: string
  - name: linked_datasets
    sequence: string
  - name: created_at
    dtype: timestamp[ms]
  splits:
  - name: train
    num_bytes: 2569
    num_examples: 6
  download_size: 8163
  dataset_size: 2569
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

#### Dataset Card for dwb2023/crisis_prediction_competency_questions

**Purpose**  
A collection of stakeholder-specific competency questions that define the requirements and capabilities of the crisis prediction system.

**Schema Description**
| Field Name | Data Type | Description |
|------------|-----------|-------------|
| cq_id | string | Unique identifier for the competency question |
| stakeholder | string | Type of user/role the question is relevant for |
| question | string | The actual competency question text |
| why | string | Business/operational context for the question |
| what | string | Essential insights to be gained from answering |
| graph_hint | string | Graph pattern used to answer the CQ |
| linked_datasets | sequence[string] | List of dataset IDs that support answering this CQ |
| created_at | timestamp[ms] | When the competency question was added |

**Example Entry**
```python
{
    "cq_id": "AIRLINE_CQ1",
    "stakeholder": "Airline Route Planner",
    "question": "I need to reroute a cargo flight originally set to land in Hong Kong. What are the fastest alternative routes?",
    "why": "Prevent excessive delays and ensure cargo integrity",
    "what": "Alternative routes considering operational airports and capacity",
    "graph_hint": "(Flight)-[DISRUPTED_BY]->(Policy)",
    "linked_datasets": ["OPENSKY_FLIGHTS", "FAA_ASDI"],
    "created_at": 1706745600000
}
```