Datasets:
language:
- en
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_ids:
- text-classification
- text-generation
tags:
- disaster-response
- ticket-triage
- emergency-management
- knowledge-distillation
license: cc-by-4.0
OpenTriage Dataset
A comprehensive dataset for disaster ticket triage and emergency response classification. This dataset contains labeled tickets from various disaster scenarios including earthquakes, hurricanes, floods, and other emergency situations.
Dataset Description
The OpenTriage Dataset is designed to train and evaluate models for automated ticket classification in emergency response systems. It includes real-world inspired tickets with multiple classification labels and emergency-related information.
Dataset Features
- Disaster Ticket Classification: Multi-label classification of emergency tickets
- Student Training Data: Educational examples for model distillation
- Real-World Scenarios: Data inspired by actual emergency response situations
- Comprehensive Annotations: Rich metadata and classification labels
Dataset Structure
Main Datasets
large_triage_dataset.json (18.7 MB)
- Primary dataset with comprehensive ticket triage records
- Largest dataset with extensive examples
- Full feature set and detailed annotations
large_triage_training_data.json (4.6 MB)
- Training-focused subset optimized for model training
- Balanced class distribution
- Cleaned and processed entries
large_student_training_data.json (4.2 MB)
- Student training data for knowledge distillation
- Simplified annotations for learning
- Ideal for distilled model training
Sample & Reference Data
sample_triage_tickets.json (37 KB)
- Representative sample of the dataset
- Quick exploration and testing
- Format reference
triage_training_data.json (46 KB)
- Small training dataset
- Proof-of-concept examples
- Development and testing
student_training_data.json (44 KB)
- Compact student dataset
- Educational examples
- Model distillation reference
Configuration Files
- disaster_ticket_triage_config.json: Configuration schema and parameters for ticket triage
Data Format
Each record typically contains:
ticket_id: Unique identifierdescription: Ticket description or incident reportcategory: Primary classification categorytags: Multiple classification tagspriority: Urgency leveldisaster_type: Type of disaster (earthquake, hurricane, flood, etc.)- Metadata and additional structured fields
Dataset Statistics
- Total Records: ~100,000+ tickets across all files
- Disaster Types: Multiple categories (earthquakes, hurricanes, floods, wildfires, etc.)
- Languages: English
- License: CC-BY-4.0
Usage
Load with HuggingFace Datasets
from datasets import load_dataset
# Load the full dataset
dataset = load_dataset("naidukr/opentriage-dataset", split="train")
# Load specific files
large_dataset = load_dataset("naidukr/opentriage-dataset", data_files="large_triage_dataset.json")
training_data = load_dataset("naidukr/opentriage-dataset", data_files="large_triage_training_data.json")
Load with Pandas
import json
import pandas as pd
with open('large_triage_dataset.json', 'r') as f:
data = json.load(f)
df = pd.DataFrame(data)
Applications
- Emergency response systems
- Disaster ticket classification
- Emergency management training
- Knowledge distillation for light-weight models
- Multi-label classification research
- Real-time incident categorization
Dataset Splits
The dataset includes multiple versions optimized for different use cases:
- Full Dataset: Complete training corpus (large_triage_dataset.json)
- Training Subset: Balanced training set (large_triage_training_data.json)
- Distillation Data: For creating smaller models (large_student_training_data.json)
- Samples: Quick reference and format validation
Citation
If you use this dataset, please cite:
@dataset{opentriage_dataset_2026,
title={OpenTriage: Disaster Ticket Triage Dataset},
author={OpenTriage Team},
year={2026},
url={https://huggingface.co/datasets/naidukr/opentriage-dataset}
}
License
This dataset is licensed under CC-BY-4.0 (Creative Commons Attribution 4.0 International License).
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made
Contact & Support
For questions, issues, or contributions related to this dataset:
- Visit: https://huggingface.co/datasets/naidukr/opentriage-dataset
- Related Model: https://huggingface.co/naidukr/Opentriage
Changelog
v1.0 (2026-04-18)
- Initial dataset release
- Multiple dataset sizes for different use cases
- Comprehensive documentation and usage examples
- Git LFS support for large files