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---

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

1. **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

2. **large_triage_training_data.json** (4.6 MB)

   - Training-focused subset optimized for model training

   - Balanced class distribution

   - Cleaned and processed entries



3. **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

4. **sample_triage_tickets.json** (37 KB)
   - Representative sample of the dataset
   - Quick exploration and testing
   - Format reference

5. **triage_training_data.json** (46 KB)
   - Small training dataset
   - Proof-of-concept examples
   - Development and testing

6. **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 identifier

- `description`: Ticket description or incident report

- `category`: Primary classification category

- `tags`: Multiple classification tags

- `priority`: Urgency level

- `disaster_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



```python

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



```python

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:



```bibtex

@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