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--- |
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license: mit |
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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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size_categories: |
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- 1K<n<10K |
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tags: |
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- binary-classification |
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- tweets |
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- natural-language-processing |
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pretty_name: Disaster vs Non-Disaster Tweets |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: "train.csv" |
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- split: test |
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path: "test.csv" |
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--- |
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# Disaster Tweets Dataset For Binary Classification |
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This dataset contains tweets classified as either disastrous (`label 1`) or not disastrous (`label 0`). It is designed to train and evaluate machine learning models for disaster-related tweet classification. |
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## Files Included |
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- `train.csv`: Contains **7,613** tweets with their respective labels. |
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- `test.csv`: Contains **3,263** tweets without labels. |
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## Columns |
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Each CSV file contains the following columns: |
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- `id` – Unique identifier for each tweet. |
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- `keyword` – A keyword extracted from the tweet (may be blank). |
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- `location` – The geographical location where the tweet was posted (may be blank). |
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- `text` – The actual content of the tweet. |
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- (`label` in `train.csv`) – Classification of the tweet: |
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- `1` → Disastrous |
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- `0` → Not Disastrous |
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## Example Rows |
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### `train.csv` (Sample Data) |
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| id | keyword | location | text | label | |
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|-----|---------|--------------|------------------------------------------------------------------------------------------|-------| |
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| 1 | | | Just happened a terrible car crash | 1 | |
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| 2 | | | Heard about #earthquake in different cities, stay safe everyone! | 1 | |
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| 3 | | | Forest fire spotted at the park. Geese are fleeing across the street! | 1 | |
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| 10 | | | No I don’t like cold weather! | 0 | |
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| 52 | ablaze | Philadelphia | Crying out for more! Set me ablaze | 0 | |
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### `test.csv` (Sample Data) |
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| id | keyword | location | text | |
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|-----|---------|----------|-----------------------------------------------------------------------------------------| |
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| 11 | | | Typhoon Soudelor kills 28 in China and Taiwan | |
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| 46 | ablaze | London | Birmingham Wholesale Market is ablaze! Fire breaks out at Birmingham's Wholesale Market | |
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| 51 | ablaze | NIGERIA | Toke Makinwa’s marriage crisis sets Nigerian Twitter ablaze… | |
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## Contributing |
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If you would like to improve or expand the dataset, feel free to submit suggestions or contributions. Feedback is always welcome! |
