abeeranajam31/urdu-emergency-calls
Urdu Emergency Call Conversations Dataset (Pakistan) Overview This dataset contains 5,000 curated Urdu emergency call conversation samples from the Pakistan region, designed to support training and evaluation of Urdu Large Language Models (LLMs) for emergency response, command centers, and interpreter-style systems. The conversations simulate real-world emergency scenarios such as: Floods Medical emergencies Accidents Crimes Natural disasters Public safety… See the full description on the dataset page: https://huggingface.co/datasets/abeeranajam31/urdu-emergency-calls.
Urdu Emergency Call Conversations Dataset (Pakistan)
Overview
This dataset contains 5,000 curated Urdu emergency call conversation samples from the Pakistan region, designed to support training and evaluation of Urdu Large Language Models (LLMs) for emergency response, command centers, and interpreter-style systems.
The conversations simulate real-world emergency scenarios such as:
- Floods
- Medical emergencies
- Accidents
- Crimes
- Natural disasters
- Public safety incidents
The language, tone, and structure closely resemble how emergency calls are handled in Pakistani command and control centers (e.g., Rescue, police, disaster management).
Dataset Structure
Each row represents a short multi-turn conversation encoded as structured text.
Example
{
"messages": [
{
"role": "user",
"content": "میں یونیورسٹی ٹاؤن، پشاور سے بات کر رہا ہوں۔ یہاں سیلاب آیا ہوا ہے۔"
},
{
"role": "assistant",
"content": "کیا آپ کو کسی مدد کی ضرورت ہے؟ براہ کرم اپنی مکمل لوکیشن بتائیں"
}
]
}