Datasetpublic

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.… See the full description on the dataset page: https://huggingface.co/datasets/visolex/VITHSD.

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Dataset Card

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`
—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: sonlt@uit.edu.vn
—Alternative: son.lt1103@gmail.com

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}
}