Datasets:
Create README.md
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README.md
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---
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task_categories:
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- text-classification
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language:
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- en
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tags:
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- natural disasters
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- tweets
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- classification
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- catastrophic events
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pretty_name: Natural Disasters from Social Media
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size_categories:
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- 100K<n<1M
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annotations_creators:
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- crowdsourced
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- expert-generated
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source_datasets:
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- Kaggle 1 - [URL](https://www.kaggle.com/datasets/jannesklaas/disasters-on-social-media)
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- Kaggle 2 - [URL](https://www.kaggle.com/datasets/vstepanenko/disaster-tweets)
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- Kaggle 3 - [URL](https://www.kaggle.com/datasets/sidharth178/disaster-response-messages)
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- Zahra et al. - [URL](https://doi.org/10.%201016/j.ipm.2019.102107)
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- CrisisMMD - [URL](https://arxiv.org/abs/1805.00713)
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- Alam et al. - [URL](https://arxiv.org/abs/1805.05151)
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- CrisisLexT26 - [URL](https://doi.org/10.1145/2675133.2675242)
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- Imran et al. - [URL](https://aclanthology.org/L16-1259)
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- CrisisLexT6 - [URL](https://doi.org/10.1609/icwsm.v8i1.14538)
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- HumAID - [URL](https://doi.org/10.1609/icwsm.v15i1.18116)
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- CrisisBench - [URL](https://doi.org/10.1609/icwsm.v15i1.18115)
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dataset_info:
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features:
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- name: text
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dtype: text
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- name: target
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dtype: int32
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- name: SOURCE_FILE
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dtype: text
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- name: tweet_id
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dtype: text
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- name: filename
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dtype: text
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- name: event_type
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dtype: text
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- name: event_type_detail
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dtype: text
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- name: label
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dtype: text
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splits:
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- name: train
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num_bytes: 39817704
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num_examples: 169109
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- name: val
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num_bytes: 4977163
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num_examples: 21139
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- name: test
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num_bytes: 4981112
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num_examples: 21139
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dataset_size: 49775824
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---
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Dataset created for Master's thesis "Detection of Catastrophic Events from Social Media" at the Slovak Technical University Faculty of Informatics.
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Contains posts from social media that are split into two categories:
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- Informative - related and informative in regards to natural disasters
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- Non-Informative - unrelated to natural disasters
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Other metadata include event type, source dataset etc.
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Source Datasets:
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- Kaggle 1 - [URL](https://www.kaggle.com/datasets/jannesklaas/disasters-on-social-media) - 951
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- Kaggle 2 - [URL](https://www.kaggle.com/datasets/vstepanenko/disaster-tweets) - 579
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- Kaggle 3 - [URL](https://www.kaggle.com/datasets/sidharth178/disaster-response-messages) - 3782
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- Zahra et al. - [URL](https://doi.org/10.%201016/j.ipm.2019.102107) - 6494
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- CrisisMMD - [URL](https://arxiv.org/abs/1805.00713) - 11043
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- Alam et al. - [URL](https://arxiv.org/abs/1805.05151) - 11133
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- CrisisLexT26 - [URL](https://doi.org/10.1145/2675133.2675242) - 14998
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- Imran et al. - [URL](https://aclanthology.org/L16-1259) - 16549
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- CrisisLexT6 - [URL](https://doi.org/10.1609/icwsm.v8i1.14538) - 22672
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- HumAID - [URL](https://doi.org/10.1609/icwsm.v15i1.18116) - 42837
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- CrisisBench - [URL](https://doi.org/10.1609/icwsm.v15i1.18115) - 31158
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- ArchiveTeam - [URL](https://archive.org/details/twitterstream) - 49191 (Not informative tweets)
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