Create README.md

README.md

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+---
+task_categories:
+- text-classification
+language:
+- vi
+---
+## Dataset Card for ViSoLex‑HSD
+
+### 1. Dataset Summary
+
+**ViSoLex‑HSD** is a unified Vietnamese hate‐speech detection corpus, combining three benchmark datasets:
+
+* **ViHSD** (Son et al., 2021): 33K comments labeled **CLEAN**, **OFFENSIVE**, or **HATE** 
+* **UIT‑ViCTSD** (Nguyen et al., 2020): 10K comments annotated for **TOXIC** (mapped to **HATE**) or **CLEAN** 
+* **ViHOS** (Hoang et al., 2023): span‐level labels aggregated into comment‐level **HATE**/**CLEAN** 
+
+After renaming and mapping labels (0 = CLEAN; 1 = OFFENSIVE; 2 = HATE) and concatenating - with duplicate comments removed - the final DataFrame contains:
+
+* **Columns**:
+
+  * `dataset`: original source (`ViHSD`/`ViCTSD`/`ViHOS`)
+  * `type`: split indicator (`train`/`validation`/`test`)
+  * `comment`: raw text
+  * `label`: numeric (0/1/2)
+
+
+### 2. Supported Tasks and Metrics
+
+* **Task**: Text classification – Hate speech detection
+* **Labels**:
+
+  * 0 → CLEAN (no offensive content)
+  * 1 → OFFENSIVE (non‐hate offensive language)
+  * 2 → HATE (hate speech)
+* **Metrics**: Accuracy, Precision/Recall/F1 per class
+
+
+### 3. Languages
+
+* Vietnamese
+
+
+### 4. Dataset Structure
+
+| Column    | Type   | Description                            |
+| --------- | ------ | -------------------------------------- |
+| `dataset` | string | Origin: `ViHSD` / `ViCTSD` / `ViHOS`   |
+| `type`    | string | Split: `train` / `validation` / `test` |
+| `comment` | string | The social‐media comment in Vietnamese |
+| `label`   | int    | 0=CLEAN, 1=OFFENSIVE, 2=HATE           |
+
+
+### 6. Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("your-namespace/visolex-hsd")
+
+train_ds = ds.filter(lambda x: x["type"] == "train")
+val_ds   = ds.filter(lambda x: x["type"] == "dev")
+test_ds  = ds.filter(lambda x: x["type"] == "test")
+
+print(train_ds.features)
+print(train_ds[0])
+```
+
+### 7. Dataset Creation & Processing
+
+1. **Load original CSVs** for ViHSD, ViCTSD, ViHOS.
+2. **Rename columns** to `comment` and `label`.
+3. **Map labels**:
+
+   * ViHSD: keep 0/1/2.
+   * ViCTSD: map `Toxicity` 1→2, 0→0.
+   * ViHOS: span‐exists→2, no span→0.
+4. **Concatenate**, retain only `dataset`, `type`, `comment`, `label`.
+5. **Drop duplicates** on `comment`.
+
+(Refer to the code snippet in the prompt.)
+
+### 8. Source & Links
+
+* **ViHSD**:
+
+  * GitHub: [https://github.com/sonlam1102/vihsd](https://github.com/sonlam1102/vihsd)
+  * Hugging Face: [https://huggingface.co/datasets/sonlam1102/vihsd](https://huggingface.co/datasets/sonlam1102/vihsd)
+  * Paper: Luu et al. (2021), “A large-scale dataset for hate speech detection on Vietnamese social media texts.”
+
+* **UIT‑ViCTSD**:
+
+  * GitHub:  https://github.com/tarudesu/ViCTSD
+  * Hugging Face: [https://huggingface.co/datasets/tarudesu/ViCTSD](https://huggingface.co/datasets/tarudesu/ViCTSD)
+  * Paper: “Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese” (Nguyen et al., 2020).
+
+* **ViHOS**:
+
+  * GitHub: [https://github.com/phusroyal/ViHOS](https://github.com/phusroyal/ViHOS)
+  * Hugging Face: [https://huggingface.co/datasets/phusroyal/ViHOS](https://huggingface.co/datasets/phusroyal/ViHOS)
+  * Paper: Hoang et al. (2023), “ViHOS: Hate Speech Spans Detection for Vietnamese.”
+
+
+### 9. Licenses & Citation
+
+Please see each source’s license. If unspecified, assume **MIT** or **CC BY 4.0**.
+
+**Citation Information**:
+
+```bibtex
+@inproceedings{luu2021large,
+  title={A large-scale dataset for hate speech detection on vietnamese social media texts},
+  author={Luu, Son T and Nguyen, Kiet Van and Nguyen, Ngan Luu-Thuy},
+  booktitle={Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices: 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26--29, 2021, Proceedings, Part I 34},
+  pages={415--426},
+  year={2021},
+  organization={Springer}
+}
+```
+
+```bibtex
+@InProceedings{nguyen2021victsd,
+author="Nguyen, Luan Thanh and Van Nguyen, Kiet and Nguyen, Ngan Luu-Thuy",
+title="Constructive and Toxic Speech Detection for Open-Domain Social Media Comments in Vietnamese",
+booktitle="Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices",
+year="2021",
+publisher="Springer International Publishing",
+address="Cham",
+pages="572--583"
+}
+```
+```bibtex
+@inproceedings{hoang-etal-2023-vihos,
+    title = "{V}i{HOS}: Hate Speech Spans Detection for {V}ietnamese",
+    author = "Hoang, Phu Gia  and
+      Luu, Canh Duc  and
+      Tran, Khanh Quoc  and
+      Nguyen, Kiet Van  and
+      Nguyen, Ngan Luu-Thuy",
+    booktitle = "Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics",
+    month = may,
+    year = "2023",
+    address = "Dubrovnik, Croatia",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2023.eacl-main.47",
+    doi = "10.18653/v1/2023.eacl-main.47",
+    pages = "652--669"
+	}
+```
+
+
+
+[1]: https://arxiv.org/html/2404.19252v2?utm_source=chatgpt.com "ViTHSD: Exploiting Hatred by Targets for Hate Speech Detection on ..."
+[2]: https://paperswithcode.com/dataset/uit-victsd?utm_source=chatgpt.com "UIT-ViCTSD Dataset - Papers With Code"
+[3]: https://huggingface.co/datasets/phusroyal/ViHOS "phusroyal/ViHOS · Datasets at Hugging Face"