BanglaCalamityMMD: A Comprehensive Benchmark Dataset for Multimodal Disaster Identification in the Low-Resource Bangla Language

The BanglaCalamityMMD dataset is a comprehensive multimodal resource designed to address the significant gap in disaster identification within Bangla language text. Comprising a total of 7,903 instances spanning eight distinct categories: Landslides, Wildfire, Tropical Storm, Drought, Flood, Earthquake, Human Damage, and Non-Disaster—the dataset is meticulously divided into three subsets: 6,323 instances for training, 790 instances for testing, and 790 instances for validation. This structured division ensures that models can be trained effectively, tested rigorously, and validated accurately, thereby enhancing the overall reliability and applicability of disaster identification systems in Bangla.
Here is the dataset description for various disaster categories:

Category Train Test Validation Total
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Earthquake 800 100 100 1000
Flood 800 100 100 1000
Landslides 803 100 100 1003
Wildfires 720 90 90 900
Tropical Storms 800 100 100 1000
Droughts 800 100 100 1000
Human Damage 800 100 100 1000
Non-Disaster 800 100 100 1000
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Total 6323 790 790 7903