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--- |
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task_categories: |
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- text-classification |
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language: |
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- vi |
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--- |
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## Dataset Card for ViHSD |
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### 1. Dataset Summary |
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**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: |
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* **Train**: \~26K examples |
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* **Dev**: \~3.3K examples |
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* **Test**: \~3.3K examples |
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Each example is a short user comment labelled as one of: |
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* `HATE` |
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* `OFFENSIVE` |
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* `CLEAN` |
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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. |
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### 2. Supported Tasks and Leaderboard |
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* **Primary Task**: Text classification – hate speech detection |
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* **Metric**: Accuracy, F1-score |
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*No public leaderboard yet; feel free to report your results in the ViSoLex repo!* |
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### 3. Languages |
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* Vietnamese |
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### 4. Dataset Structure |
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The unified CSV has the following columns: |
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| Column | Type | Description | |
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| ------- | ------ | --------------------------------------------- | |
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| `text` | string | The social media comment (Vietnamese). | |
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| `label` | string | One of `HATE`, `OFFENSIVE`, or `CLEAN`. | |
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| `type` | string | Split indicator: `train`/`validation`/`test`. | |
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### 5. Usage |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("visolex/ViHSD") |
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train_ds = ds.filter(lambda x: x["type"] == "train") |
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dev_ds = ds.filter(lambda x: x["type"] == "dev") |
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test_ds = ds.filter(lambda x: x["type"] == "test") |
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# Example |
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print(train_ds[0]) |
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``` |
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### 6. Dataset Creation |
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1. **Source**: Originally released as [`sonlam1102/vihsd`](https://huggingface.co/datasets/sonlam1102/vihsd) on Hugging Face. |
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2. **Original Paper**: Luu et al. (2021) – “A large‑scale dataset for hate speech detection on Vietnamese social media texts.” |
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3. **Adaptation**: Merged the three CSV splits into one file; added a `type` column for split identification. |
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4. **Toolkit Integration**: Packaged for direct use in the ViSoLex lexical normalization and social‑listening pipeline. |
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### 7. Licenses and Citation |
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#### License |
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Please check the original license on the source repository. If not specified, assume **CC BY 4.0**. |
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#### How to Cite |
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If you use **ViHSD** in your work, please cite: |
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```bibtex |
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@inproceedings{luu2021large, |
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title = {A large-scale dataset for hate speech detection on Vietnamese social media texts}, |
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author = {Luu, Son T and Nguyen, Kiet Van and Nguyen, Ngan Luu-Thuy}, |
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booktitle = {Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices: 34th International Conference on |
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Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, |
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July 26--29, 2021, Proceedings, Part I 34}, |
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pages = {415--426}, |
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year = {2021}, |
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organization = {Springer} |
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} |
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``` |
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```bibtex |
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@misc{sonlam1102_vihsd, |
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title = {Vietnamese Hate Speech Detection Dataset (ViHSD)}, |
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author = {{sonlam1102}}, |
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howpublished = {\url{https://huggingface.co/datasets/sonlam1102/vihsd}}, |
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year = {2021} |
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} |
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``` |
