license: cc
task_categories:
- text-classification
- token-classification
language:
- tr
tags:
- disaster-relief
- disaster
- earthquake
- tweets
- deprem
- tweet-classification
- ner
size_categories:
- 1K<n<10K
Tweets Under the Rubble: Detection of Messages Calling for Help in Earthquake Disaster
The annotated dataset is given at dataset.tsv. We annotate 1,000 tweets in Turkish if tweets call for help (i.e. request rescue, supply, or donation), and their entity tags (person, city, address, status).
Column Name Description label Human annotation if tweet calls for help (binary classification) entities Human annotation of entity tags (i.e. person, city, address, and status). The format is [START_INDEX]:[END_INDEX]%[TAG_TYPE]. tweet_id Tweet ID from Twitter API.
Other details can be found at https://github.com/avaapm/deprem
Citation
If you make use of this dataset, please cite following paper.
@misc{toraman2023earthquake, doi = {10.48550/ARXIV.2302.13403}, url = {https://arxiv.org/abs/2302.13403}, author = {Toraman, Cagri and Kucukkaya, Izzet Emre and Ozcelik, Oguzhan and Sahin, Umitcan}, keywords = {Social and Information Networks (cs.SI), Computation and Language (cs.CL), Information Retrieval (cs.IR), FOS: Computer and information sciences, FOS: Computer and information sciences}, title = {Tweets Under the Rubble: Detection of Messages Calling for Help in Earthquake Disaster}, publisher = {arXiv}, year = {2023}, copyright = {Creative Commons Attribution Non Commercial Share Alike 4.0 International} }