Dataset Viewer
node_id
stringclasses 9
values | node_type
stringclasses 2
values | name
stringclasses 9
values | attributes_json
stringclasses 9
values | created_at
timestamp[ms] |
|---|---|---|---|---|
PVG_AIRPORT
|
Airport
|
Shanghai Pudong International Airport
|
{"iata": "PVG", "country": "China"}
| 2020-03-16T00:00:00 |
IST_AIRPORT
|
Airport
|
Istanbul Airport
|
{"iata": "IST", "country": "Turkey"}
| 2020-03-16T00:00:00 |
FRA_AIRPORT
|
Airport
|
Frankfurt Airport
|
{"iata": "FRA", "country": "Germany"}
| 2020-03-16T00:00:00 |
ORD_AIRPORT
|
Airport
|
Chicago O'Hare International Airport
|
{"iata": "ORD", "country": "USA"}
| 2020-03-16T00:00:00 |
HKG_AIRPORT
|
Airport
|
Hong Kong International Airport
|
{"iata": "HKG", "country": "Hong Kong"}
| 2020-03-16T00:00:00 |
PPE_MANUFACTURER
|
Organization
|
Medical Equipment Manufacturer
|
{"type": "Manufacturer", "location": "China"}
| 2020-03-16T00:00:00 |
AIRLINE_CARGO
|
Organization
|
Major Carrier
|
{"type": "Airline", "region": "US & Europe"}
| 2020-03-16T00:00:00 |
FREIGHT_FORWARDER
|
Organization
|
Global Logistics Company
|
{"type": "FreightForwarder", "region": "Hong Kong & Europe"}
| 2020-03-16T00:00:00 |
CUSTOMS_FRA
|
Organization
|
Frankfurt Customs Authority
|
{"type": "Customs", "location": "Germany"}
| 2020-03-16T00:00:00 |
Dataset Card for dwb2023/crisis_prediction_nodes
Purpose
Stores the nodes (vertices) of the crisis prediction graph, representing entities like airports, organizations, and policies.
Schema Description
| Field Name | Data Type | Description |
|---|---|---|
| node_id | string | Unique identifier for the node |
| node_type | string | Type of entity (e.g., "Airport", "Organization") |
| name | string | Human-readable name of the entity |
| attributes_json | string | JSON string containing node properties |
| created_at | timestamp[ms] | When the node was created |
Example Entry
{
"node_id": "HKG_AIRPORT",
"node_type": "Airport",
"name": "Hong Kong International Airport",
"attributes_json": {"iata": "HKG", "capacity": "1000t", "region": "Asia"},
"created_at": 1706745600000
}
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