README.md

metadata

language:
  - vi
task_categories:
  - text-classification
  - token-classification

Dataset Card for ViHOS

1. Dataset Summary

ViHOS (Vietnamese Hate and Offensive Spans) is the first Vietnamese corpus with span-level annotations of hateful and offensive content. It contains 26,476 annotated spans over 11,056 comments:

• 5,360 comments containing ≥1 hate/offensive spans
• 5,696 clean comments (no spans)

Annotations cover a rich variety of phenomena (teencodes, metaphors, puns, etc.), with both span‑extraction and sequence‑labeling formats.

2. Supported Tasks and Leaderboard

• Primary Task: Sequence labeling / span extraction for hate/offensive detection
• Metrics: Precision, recall, F1‑score on span detection

No public leaderboard; share your results in the ViSoLex repo!

3. Languages

• Vietnamese

4. Data Fields

Column	Type	Description
sentence	string	The raw Vietnamese comment.
word	string	Words in the sentence after the processing of tokenization using VnCoreNLP tokenizer
index_spans	string	JSON‑encoded list of indices (for span extraction) or list of BIO labels.
tag	string	The tag of the word. The tag is either B-T (beginning of a word), I-T (inside of a word), or O (outside of a word)
type	string	Split: train / validation / test.

5. Usage

from datasets import load_dataset

ds = load_dataset("visolex/ViHOS")

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 & Sources

• GitHub Repository (source code & raw data): https://github.com/phusroyal/ViHOS
• Hugging Face Dataset: https://huggingface.co/datasets/phusroyal/ViHOS
• Original Paper: Hoang et al. (2023), “ViHOS: Hate Speech Spans Detection for Vietnamese”

We downloaded the original train/validation/test JSONs, converted both span‑extraction and sequence‑labeling views into a single CSV, and added a type column.

7. Licenses and Citation

License

Please refer to the LICENSE in the GitHub repo. If unspecified, assume CC BY 4.0.

How to Cite

ViHOS Paper

@inproceedings{hoang-etal-2023-vihos,
  title     = {ViHOS: Hate Speech Spans Detection for Vietnamese},
  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}
}

Hugging Face Dataset

@misc{phusroyal_vihos,
  title        = {ViHOS: Vietnamese Hate and Offensive Spans},
  author       = {{phusroyal}},
  howpublished = {\url{https://huggingface.co/datasets/phusroyal/ViHOS}},
  year         = {2023}
}