| --- |
| 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 |
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|
|
| ### 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`. | |
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|
|
| ### 5. Usage |
|
|
| ```python |
| 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](https://github.com/phusroyal/ViHOS) |
| * **Hugging Face Dataset**: |
| [https://huggingface.co/datasets/phusroyal/ViHOS](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. |
|
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| ### 7. Licenses and Citation |
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|
| #### License |
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|
| Please refer to the `LICENSE` in the GitHub repo. If unspecified, assume **CC BY 4.0**. |
|
|
| #### How to Cite |
|
|
| **ViHOS Paper** |
|
|
| ```bibtex |
| @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** |
|
|
| ```bibtex |
| @misc{phusroyal_vihos, |
| title = {ViHOS: Vietnamese Hate and Offensive Spans}, |
| author = {{phusroyal}}, |
| howpublished = {\url{https://huggingface.co/datasets/phusroyal/ViHOS}}, |
| year = {2023} |
| } |
| ``` |