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Create 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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+
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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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+
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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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+
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+ Other metadata include event type, source dataset etc.
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+
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+ Source Datasets:
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+
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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)