| dataset_info: | |
| features: | |
| - name: text | |
| dtype: string | |
| - name: label | |
| dtype: string | |
| - name: sms length | |
| dtype: int64 | |
| splits: | |
| - name: train | |
| num_bytes: 95574.6 | |
| num_examples: 765 | |
| - name: validation | |
| num_bytes: 10619.4 | |
| num_examples: 85 | |
| download_size: 59882 | |
| dataset_size: 106194 | |
| task_categories: | |
| - text-classification | |
| - text-generation | |
| language: | |
| - tr | |
| # Dataset Card for "turkishSMS-ds" | |
| The dataset was utilized in the following study. It consists of Turkish SMS spam and legitimate data. | |
| Uysal, A. K., Gunal, S., Ergin, S., & Gunal, E. S. (2013). The impact of feature extraction and selection on SMS spam filtering. Elektronika ir Elektrotechnika, 19(5), 67-72. | |
| [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |