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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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- vi |
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--- |
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## Dataset Card for VITHSD |
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### 1. Dataset Summary |
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**VITHSD** (Vietnamese Targeted Hate Speech Detection) contains **10,000** Vietnamese social‐media comments annotated for hate toward five target categories: |
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* **individual** |
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* **groups** |
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* **religion/creed** |
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* **race/ethnicity** |
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* **politics** |
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Each target is labeled on a **3‐point scale** (e.g., 0 = no hate, 1 = offensive, 2 = hateful). In this unified version, all splits are combined into one CSV with an extra `type` column indicating `train` / `dev` / `test`. |
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### 2. Supported Tasks and Metrics |
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* **Task**: Multi‐label classification (per‐target hate/offense detection) |
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* **Metrics**: |
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* **Accuracy** (per‐target and overall) |
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* **Macro F1** (per‐target and overall) |
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### 3. Languages |
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* Vietnamese |
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### 4. Dataset Structure |
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| Column | Type | Description | |
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| ---------------- | ------ | -------------------------------------------- | |
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| `comment` | string | The raw user comment (Vietnamese). | |
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| `individual` | int | Hate level toward individuals (0/1/2). | |
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| `groups` | int | Hate level toward groups (0/1/2). | |
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| `religion/creed` | int | Hate level toward religion/creed (0/1/2). | |
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| `race/ethnicity` | int | Hate level toward race/ethnicity (0/1/2). | |
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| `politics` | int | Hate level toward political targets (0/1/2). | |
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| `type` | string | Split name: `train` / `validation` / `test`. | |
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| `dataset` | string | Source indicator (`VITHSD`). | |
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### 5. Data Fields |
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* **comment** (`str`): The social‐media text. |
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* **individual**, **groups**, **religion/creed**, **race/ethnicity**, **politics** (`int`): 0 = no hate, 1 = offensive, 2 = hateful. |
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* **type** (`str`): Which split the example belongs to. |
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* **dataset** (`str`): Always `VITHSD`. |
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### 6. Usage |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("visolex/VITHSD") |
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train = ds.filter(lambda ex: ex["type"] == "train") |
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val = ds.filter(lambda ex: ex["type"] == "dev") |
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test = ds.filter(lambda ex: ex["type"] == "test") |
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# Examine one example |
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print(train[0]) |
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``` |
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### 7. Source & Links |
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* **Hugging Face Dataset** |
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[`sonlam1102/vithsd`](https://huggingface.co/datasets/sonlam1102/vithsd) |
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* **Publication / Preprint** |
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Vo et al. (2024), “ViTHSD: exploiting hatred by targets for hate speech detection on Vietnamese social media texts” (arXiv) |
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### 8. Contact Information |
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* **Mr. Son T. Luu** |
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* Email: [sonlt@uit.edu.vn](mailto:sonlt@uit.edu.vn) |
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* Alternative: [son.lt1103@gmail.com](mailto:son.lt1103@gmail.com) |
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### 9. Licensing and Citation |
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#### License |
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Refer to the original repository’s LICENSE. If unspecified, assume **CC BY 4.0**. |
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#### How to Cite |
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```bibtex |
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@article{vo2025vithsd, |
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title = {ViTHSD: exploiting hatred by targets for hate speech detection on Vietnamese social media texts}, |
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author = {Vo, Cuong Nhat and Huynh, Khanh Bao and Luu, Son T and Do, Trong-Hop}, |
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journal = {Journal of Computational Social Science}, |
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volume = {8}, |
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number = {2}, |
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pages = {30}, |
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year = {2025}, |
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publisher = {Springer}, |
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doi = {10.1007/s42001-024-00348-6} |
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} |
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``` |
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```bibtex |
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@misc{sonlam1102_vithsd, |
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title = {VITHSD: Targeted Hate Speech Detection on Vietnamese Social Media Texts}, |
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howpublished = {\url{https://huggingface.co/datasets/sonlam1102/vithsd}}, |
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year = {2024} |
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} |
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``` |
