A dataset to extract event location and impact information from disaster-news articles

Multi-label event classification label of each sample-document is done with nine bits. The first bit signifies whether an event is present or absent with 1 or 0 respectively. The remaining eight bits signifies presence or absence of (i) covid, (ii) flood, (iii) storm, (iv) heavy rain, (v) cloudburst, (vi) landslide, (vii) earthquake, (viii) Tsunami with 1 or 0. The location and the impact sentence classification labeling are similar. A sample-document is labeled with 40 bits where the i^th bit is 1 or 0 signifying whether the i^th sentence contains disaster-location / disaster-impact information or not. The documents longer or shorter than 40 (sentences) are truncated or padded.