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---
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
}
```
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