visolex/ViHSD

Dataset Card for ViHSD

1. Dataset Summary

ViHSD (Vietnamese Hate Speech Detection) is a unified CSV‐based dataset for hate speech detection in Vietnamese social media texts. It consolidates train/dev/test splits into a single file and uses a type field to distinguish:

• —Train: \~26K examples
• —Dev: \~3.3K examples
• —Test: \~3.3K examples

Each example is a short user comment labelled as one of:

• —HATE
• —OFFENSIVE
• —CLEAN

This version is adapted from the original sonlam1102/vihsd dataset on Hugging Face (which you can load directly) and is packaged here for easier integration into the ViSoLex Toolkit.

2. Supported Tasks and Leaderboard

• —Primary Task: Text classification – hate speech detection
• —Metric: Accuracy, F1-score

No public leaderboard yet; feel free to report your results in the ViSoLex repo!

3. Languages

• —Vietnamese

4. Dataset Structure

The unified CSV has the following columns:

5. Usage

from datasets import load_dataset

ds = load_dataset("visolex/ViHSD")

train_ds = ds.filter(lambda x: x["type"] == "train")
dev_ds   = ds.filter(lambda x: x["type"] == "dev")
test_ds  = ds.filter(lambda x: x["type"] == "test")

# Example
print(train_ds[0])

6. Dataset Creation

1. 1.Source: Originally released as `sonlam1102/vihsd` on Hugging Face.
2. 2.Original Paper: Luu et al. (2021) – “A large‑scale dataset for hate speech detection on Vietnamese social media texts.”
3. 3.Adaptation: Merged the three CSV splits into one file; added a type column for split identification.
4. 4.Toolkit Integration: Packaged for direct use in the ViSoLex lexical normalization and social‑listening pipeline.

7. Licenses and Citation

License

Please check the original license on the source repository. If not specified, assume CC BY 4.0.

How to Cite

If you use ViHSD in your work, please cite:

@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}
}

@misc{sonlam1102_vihsd,
  title        = {Vietnamese Hate Speech Detection Dataset (ViHSD)},
  author       = {{sonlam1102}},
  howpublished = {\url{https://huggingface.co/datasets/sonlam1102/vihsd}},
  year         = {2021}
}