The dataset contains 7,601 Gab posts classified on three different aspects: abuse presence or not, abuse severity and abuse target. The Binary label distribution is as follows: *Abusive Posts: 4,120 *Non-Abusive Posts: 3481 The Abuse Severity label distribution is as follows: *Biased Attitude: 1830 *Act of Bias and Discrimination: 1807 *Violence and Genocide: 483 The Abuse Target label distribution is as follows: *Individual (Second-Person): 389 *Individual (Third-Person): 1330 *Group: 2401
The dataset contains 73 satellite images of different forests damaged by wildfires across Europe with a resolution of up to 10m per pixel. Data were collected from the Sentinel-2 L2A satellite mission and the target labels were generated from the Copernicus Emergency Management Service (EMS) annotations, with five different severity levels, ranging from undamaged to completely destroyed.