Create README.md

README.md

@@ -0,0 +1,114 @@
+---
+task_categories:
+- text-classification
+language:
+- vi
+---
+## Dataset Card for VITHSD
+
+### 1. Dataset Summary
+
+**VITHSD** (Vietnamese Targeted Hate Speech Detection) contains **10,000** Vietnamese social‐media comments annotated for hate toward five target categories:
+
+* **individual**
+* **groups**
+* **religion/creed**
+* **race/ethnicity**
+* **politics**
+
+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`.
+
+
+### 2. Supported Tasks and Metrics
+
+* **Task**: Multi‐label classification (per‐target hate/offense detection)
+* **Metrics**:
+
+  * **Accuracy** (per‐target and overall)
+  * **Macro F1** (per‐target and overall)
+
+
+### 3. Languages
+
+* Vietnamese
+
+### 4. Dataset Structure
+
+| Column           | Type   | Description                                  |
+| ---------------- | ------ | -------------------------------------------- |
+| `comment`        | string | The raw user comment (Vietnamese).           |
+| `individual`     | int    | Hate level toward individuals (0/1/2).       |
+| `groups`         | int    | Hate level toward groups (0/1/2).            |
+| `religion/creed` | int    | Hate level toward religion/creed (0/1/2).    |
+| `race/ethnicity` | int    | Hate level toward race/ethnicity (0/1/2).    |
+| `politics`       | int    | Hate level toward political targets (0/1/2). |
+| `type`           | string | Split name: `train` / `validation` / `test`. |
+| `dataset`        | string | Source indicator (`VITHSD`).                 |
+
+
+### 5. Data Fields
+
+* **comment** (`str`): The social‐media text.
+* **individual**, **groups**, **religion/creed**, **race/ethnicity**, **politics** (`int`): 0 = no hate, 1 = offensive, 2 = hateful.
+* **type** (`str`): Which split the example belongs to.
+* **dataset** (`str`): Always `VITHSD`.
+
+### 6. Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("visolex/VITHSD")
+
+train = ds.filter(lambda ex: ex["type"] == "train")
+val   = ds.filter(lambda ex: ex["type"] == "dev")
+test  = ds.filter(lambda ex: ex["type"] == "test")
+
+# Examine one example
+print(train[0])
+```
+
+
+### 7. Source & Links
+
+* **Hugging Face Dataset**
+  [`sonlam1102/vithsd`](https://huggingface.co/datasets/sonlam1102/vithsd)
+* **Publication / Preprint**
+  Vo et al. (2024), “ViTHSD: exploiting hatred by targets for hate speech detection on Vietnamese social media texts” (arXiv)
+
+### 8. Contact Information
+
+* **Mr. Son T. Luu**
+* Email: [[email protected]](mailto:[email protected])
+* Alternative: [[email protected]](mailto:[email protected])
+
+
+### 9. Licensing and Citation
+
+#### License
+
+Refer to the original repository’s LICENSE. If unspecified, assume **CC BY 4.0**.
+
+#### How to Cite
+
+```bibtex
+@article{vo2025vithsd,
+  title   = {ViTHSD: exploiting hatred by targets for hate speech detection on Vietnamese social media texts},
+  author  = {Vo, Cuong Nhat and Huynh, Khanh Bao and Luu, Son T and Do, Trong-Hop},
+  journal = {Journal of Computational Social Science},
+  volume  = {8},
+  number  = {2},
+  pages   = {30},
+  year    = {2025},
+  publisher = {Springer},
+  doi     = {10.1007/s42001-024-00348-6}
+}
+```
+
+```bibtex
+@misc{sonlam1102_vithsd,
+  title        = {VITHSD: Targeted Hate Speech Detection on Vietnamese Social Media Texts},
+  howpublished = {\url{https://huggingface.co/datasets/sonlam1102/vithsd}},
+  year         = {2024}
+}
+```