|
|
--- |
|
|
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 |
|
|
|
|
|
```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. |
|
|
|
|
|
### 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** |
|
|
|
|
|
```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} |
|
|
} |
|
|
``` |
