datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
disaster_response_messages
Dataset Card for Disaster Response Messages
Dataset Summary
This dataset contains 30,000 messages drawn from events including an earthquake in Haiti in 2010, an earthquake in Chile in 2010, floods in Pakistan in 2010, super-storm Sandy in the U.S.A. in 2012, and news articles spanning a large number of years and 100s of different disasters. The data has been encoded with 36 different categories related to disaster response and has been stripped of messages with sensitive… See the full description on the dataset page: https://huggingface.co/datasets/community-datasets/disaster_response_messages.disaster_response_messagesEMERGENCY_DISASTER_RESPONSE_V1_JSONLEmergency & Disaster Response Dataset — V1 (100 Synthetic Scenarios)
A high-quality, fully synthetic dataset for training AI systems to handle emergency and disaster-related queries with safe, responsible, and structured guidance.
About the Dataset
This dataset contains 100 synthetic emergency scenarios designed to help developers train:
1-Emergency response chatbots
2-Crisis-management LLMs
3-Safety-aligned AI systems
4-Risk assessment agents
5-Public safety assistants
6-Disaster simulation… See the full description on the dataset page: https://huggingface.co/datasets/vnovaai/EMERGENCY_DISASTER_RESPONSE_V1_JSONL.disaster_response_messages
Dataset Card for Disaster Response Messages
Dataset Summary
This dataset contains 30,000 messages drawn from events including an earthquake in Haiti in 2010, an earthquake in Chile in 2010, floods in Pakistan in 2010, super-storm Sandy in the U.S.A. in 2012, and news articles spanning a large number of years and 100s of different disasters. The data has been encoded with 36 different categories related to disaster response and has been stripped of messages with sensitive… See the full description on the dataset page: https://huggingface.co/datasets/HFAbrar/disaster_response_messages.
