Toygar/turkish-offensive-language-detection
Dataset Summary This dataset is enhanced version of existing offensive language studies. Existing studies are highly imbalanced, and solving this problem is too costly. To solve this, we proposed contextual data mining method for dataset augmentation. Our method is basically prevent us from retrieving random tweets and label individually. We can directly access almost exact hate related tweets and label them directly without any further human interaction in order to solve… See the full description on the dataset page: https://huggingface.co/datasets/Toygar/turkish-offensive-language-detection.
| Author / organization | Toygar |
|---|---|
| License (as declared) | cc-by-2.0 |
| Downloads | 196 (as reported by Hugging Face) |
| Likes | 21 |
| Created | 28 July 2022 |
| Last updated at source | 31 October 2023 |
Popularity, last 22 days
196 now (+20 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Dataset Summary This dataset is enhanced version of existing offensive language studies. Existing studies are highly imbalanced, and solving this problem is too costly. To solve this, we proposed contextual data mining method for dataset au → Dataset Summary This dataset is enhanced version of existing offensive language studies. Existing studies are highly imbalanced, and solving this problem is too costly. To solve this, we proposed contextual data mining method for dataset au
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