visolex/VITHSD

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

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
• 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]
• Alternative: [email protected]

9. Licensing and Citation

License

Refer to the original repository’s LICENSE. If unspecified, assume CC BY 4.0.

How to Cite

@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}
}

@misc{sonlam1102_vithsd,
  title        = {VITHSD: Targeted Hate Speech Detection on Vietnamese Social Media Texts},
  howpublished = {\url{https://huggingface.co/datasets/sonlam1102/vithsd}},
  year         = {2024}
}