| ---
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| language:
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| - en
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| multilinguality:
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| - monolingual
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| size_categories:
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| - 10K<n<100K
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| source_datasets:
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| - original
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| task_ids:
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| - text-classification
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| - text-generation
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| tags:
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| - disaster-response
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| - ticket-triage
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| - emergency-management
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| - knowledge-distillation
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| license: cc-by-4.0
|
| ---
|
|
|
| # OpenTriage Dataset
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|
|
| 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.
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|
|
| ## Dataset Description
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|
|
| 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.
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|
|
| ### Dataset Features
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|
|
| - **Disaster Ticket Classification**: Multi-label classification of emergency tickets
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| - **Student Training Data**: Educational examples for model distillation
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| - **Real-World Scenarios**: Data inspired by actual emergency response situations
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| - **Comprehensive Annotations**: Rich metadata and classification labels
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|
|
| ## Dataset Structure
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|
|
| ### Main Datasets
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|
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| 1. **large_triage_dataset.json** (18.7 MB)
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| - Primary dataset with comprehensive ticket triage records
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| - Largest dataset with extensive examples
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| - Full feature set and detailed annotations
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|
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| 2. **large_triage_training_data.json** (4.6 MB)
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| - Training-focused subset optimized for model training
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| - Balanced class distribution
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| - Cleaned and processed entries
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|
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| 3. **large_student_training_data.json** (4.2 MB)
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| - Student training data for knowledge distillation
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| - Simplified annotations for learning
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| - Ideal for distilled model training
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|
|
| ### Sample & Reference Data
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|
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| 4. **sample_triage_tickets.json** (37 KB)
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| - Representative sample of the dataset
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| - Quick exploration and testing
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| - Format reference
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|
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| 5. **triage_training_data.json** (46 KB)
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| - Small training dataset
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| - Proof-of-concept examples
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| - Development and testing
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|
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| 6. **student_training_data.json** (44 KB)
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| - Compact student dataset
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| - Educational examples
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| - Model distillation reference
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|
|
| ### Configuration Files
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|
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| - **disaster_ticket_triage_config.json**: Configuration schema and parameters for ticket triage
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|
|
| ## Data Format
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|
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| Each record typically contains:
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| - `ticket_id`: Unique identifier
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| - `description`: Ticket description or incident report
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| - `category`: Primary classification category
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| - `tags`: Multiple classification tags
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| - `priority`: Urgency level
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| - `disaster_type`: Type of disaster (earthquake, hurricane, flood, etc.)
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| - Metadata and additional structured fields
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|
|
| ## Dataset Statistics
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|
|
| - **Total Records**: ~100,000+ tickets across all files
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| - **Disaster Types**: Multiple categories (earthquakes, hurricanes, floods, wildfires, etc.)
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| - **Languages**: English
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| - **License**: CC-BY-4.0
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|
|
| ## Usage
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|
|
| ### Load with HuggingFace Datasets
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|
|
| ```python
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| from datasets import load_dataset
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|
|
| # Load the full dataset
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| dataset = load_dataset("naidukr/opentriage-dataset", split="train")
|
|
|
| # Load specific files
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| large_dataset = load_dataset("naidukr/opentriage-dataset", data_files="large_triage_dataset.json")
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| training_data = load_dataset("naidukr/opentriage-dataset", data_files="large_triage_training_data.json")
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| ```
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|
|
| ### Load with Pandas
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|
|
| ```python
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| import json
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| import pandas as pd
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|
|
| with open('large_triage_dataset.json', 'r') as f:
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| data = json.load(f)
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|
|
| df = pd.DataFrame(data)
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| ```
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|
|
| ## Applications
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|
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| - Emergency response systems
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| - Disaster ticket classification
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| - Emergency management training
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| - Knowledge distillation for light-weight models
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| - Multi-label classification research
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| - Real-time incident categorization
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|
|
| ## Dataset Splits
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|
|
| The dataset includes multiple versions optimized for different use cases:
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| - **Full Dataset**: Complete training corpus (large_triage_dataset.json)
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| - **Training Subset**: Balanced training set (large_triage_training_data.json)
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| - **Distillation Data**: For creating smaller models (large_student_training_data.json)
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| - **Samples**: Quick reference and format validation
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|
|
| ## Citation
|
|
|
| If you use this dataset, please cite:
|
|
|
| ```bibtex
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| @dataset{opentriage_dataset_2026,
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| title={OpenTriage: Disaster Ticket Triage Dataset},
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| author={OpenTriage Team},
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| year={2026},
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| url={https://huggingface.co/datasets/naidukr/opentriage-dataset}
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| }
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| ```
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|
|
| ## License
|
|
|
| This dataset is licensed under **CC-BY-4.0** (Creative Commons Attribution 4.0 International License).
|
|
|
| You are free to:
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| - Share — copy and redistribute the material in any medium or format
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| - Adapt — remix, transform, and build upon the material for any purpose, even commercially
|
|
|
| Under the following terms:
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| - Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made
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|
|
| ## 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
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|
|
| ## Changelog
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|
|
| ### v1.0 (2026-04-18)
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| - Initial dataset release
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| - Multiple dataset sizes for different use cases
|
| - Comprehensive documentation and usage examples
|
| - Git LFS support for large files
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|
|
