---
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"