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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 - jannesklaas/disasters-on-social-media" |
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- "Kaggle 2 - vstepanenko/disaster-tweets" |
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- "Kaggle 3 - sidharth178/disaster-response-messages" |
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- "Zahra et al. - doi: 10.1016/j.ipm.2019.102107" |
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- "CrisisMMD - arxiv: 1805.00713" |
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- "Alam et al. - arxiv: 1805.05151" |
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- "CrisisLexT26 - doi: 10.1145/2675133.2675242" |
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- "Imran et al. - aclanthology: L16-1259" |
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- "CrisisLexT6 - doi: 10.1609/icwsm.v8i1.14538" |
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- "HumAID - doi: 10.1609/icwsm.v15i1.18116" |
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- "CrisisBench - doi: 10.1609/icwsm.v15i1.18115" |
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configs: |
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- config_name: default |
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default: true |
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data_files: |
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- split: train |
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path: "train.csv" |
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- split: validation |
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path: "validation.csv" |
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- split: test |
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path: "test.csv" |
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- config_name: full |
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data_files: "meta/natural-disasters-from-social-media.csv" |
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- config_name: meta |
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data_files: "meta/distributions/*.csv" |
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dataset_info: |
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config_name: default |
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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: validation |
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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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# Description |
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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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Other metadata include event type, source dataset etc. To balance classes, 50k tweets from twitter archive for years 2017-2022 were added. |
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|
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# Distributions |
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 |
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# Source Datasets: |
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|
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| **Name** | **Count** | |
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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/10.1016/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 | |
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| **Total** | 211387 | |
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# Total Event counts: |
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| **Type** | **Non-Informative** | **Informative** | **Total** | |
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|:----------:|:-------------------:|:---------------:|:---------:| |
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| Unknown | 61880 | 14740 | 76620 | |
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| Storm | 20944 | 47301 | 68245 | |
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| Flood | 13104 | 14637 | 27741 | |
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| Earthquake | 7844 | 15549 | 23393 | |
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| Fire | 2343 | 8595 | 10938 | |
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| Landslide | 2392 | 384 | 2776 | |
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| Meteorite | 193 | 545 | 738 | |
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| Haze | 51 | 503 | 554 | |
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| Volcano | 243 | 139 | 382 | |
