---
task_categories:
- text-classification
language:
- en
tags:
- natural disasters
- tweets
- classification
- catastrophic events
pretty_name: Natural Disasters from Social Media
size_categories:
- 100K<n<1M
annotations_creators:
  - crowdsourced
  - expert-generated
source_datasets:
  - "Kaggle 1 - jannesklaas/disasters-on-social-media"
  - "Kaggle 2 - vstepanenko/disaster-tweets"
  - "Kaggle 3 - sidharth178/disaster-response-messages"
  - "Zahra et al. - doi: 10.1016/j.ipm.2019.102107"
  - "CrisisMMD - arxiv: 1805.00713"
  - "Alam et al. - arxiv: 1805.05151"
  - "CrisisLexT26 - doi: 10.1145/2675133.2675242"
  - "Imran et al. - aclanthology: L16-1259"
  - "CrisisLexT6 - doi: 10.1609/icwsm.v8i1.14538"
  - "HumAID - doi: 10.1609/icwsm.v15i1.18116"
  - "CrisisBench - doi: 10.1609/icwsm.v15i1.18115"
configs:
- config_name: default
  default: true
  data_files:
  - split: train
    path: "train.csv"
  - split: validation
    path: "validation.csv"
  - split: test
    path: "test.csv"
- config_name: full
  data_files: "meta/natural-disasters-from-social-media.csv"
- config_name: meta
  data_files: "meta/distributions/*.csv"

dataset_info:
  config_name: default
  splits:
    - name: train
      num_bytes: 39817704
      num_examples: 169109
    - name: validation
      num_bytes: 4977163
      num_examples: 21139
    - name: test
      num_bytes: 4981112
      num_examples: 21139
  dataset_size: 49775824
---

# Description

Dataset created for Master's thesis "Detection of Catastrophic Events from Social Media" at the Slovak Technical University Faculty of Informatics.

Contains posts from social media that are split into two categories:
- Informative - related and informative in regards to natural disasters
- Non-Informative - unrelated to natural disasters

Other metadata include event type, source dataset etc. To balance classes, 50k tweets from twitter archive for years 2017-2022 were added.

# Distributions 
![Distributions](meta/distributions/split_distribution.png)

# Source Datasets:

|                                         **Name**                                         | **Count** |
|:----------------------------------------------------------------------------------------:|:---------:|
|  Kaggle 1 - [URL](https://www.kaggle.com/datasets/jannesklaas/disasters-on-social-media) |    951    |
|       Kaggle 2 - [URL](https://www.kaggle.com/datasets/vstepanenko/disaster-tweets)      |    579    |
| Kaggle 3 - [URL](https://www.kaggle.com/datasets/sidharth178/disaster-response-messages) |    3782   |
|              Zahra et al. - [URL](https://doi.org/10.1016/j.ipm.2019.102107)             |    6494   |
|                    CrisisMMD - [URL](https://arxiv.org/abs/1805.00713)                   |   11043   |
|                   Alam et al. - [URL](https://arxiv.org/abs/1805.05151)                  |   11133   |
|               CrisisLexT26 - [URL](https://doi.org/10.1145/2675133.2675242)              |   14998   |
|                  Imran et al. - [URL](https://aclanthology.org/L16-1259)                 |   16549   |
|               CrisisLexT6 - [URL](https://doi.org/10.1609/icwsm.v8i1.14538)              |   22672   |
|                 HumAID - [URL](https://doi.org/10.1609/icwsm.v15i1.18116)                |   42837   |
|              CrisisBench - [URL](https://doi.org/10.1609/icwsm.v15i1.18115)              |   31158   |
|              ArchiveTeam - [URL](https://archive.org/details/twitterstream)              |   49191   |
|                                         **Total**                                        |   211387  |

# Total Event counts:

|  **Type**  | **Non-Informative** | **Informative** | **Total** |
|:----------:|:-------------------:|:---------------:|:---------:|
|   Unknown  |        61880        |      14740      |   76620   |
|    Storm   |        20944        |      47301      |   68245   |
|    Flood   |        13104        |      14637      |   27741   |
| Earthquake |         7844        |      15549      |   23393   |
|    Fire    |         2343        |       8595      |   10938   |
|  Landslide |         2392        |       384       |    2776   |
|  Meteorite |         193         |       545       |    738    |
|    Haze    |          51         |       503       |    554    |
|   Volcano  |         243         |       139       |    382    |