Datasets:
File size: 5,510 Bytes
ce8490f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 |
---
task_categories:
- text-classification
language:
- vi
---
## Dataset Card for ViSoLex‑HSD
### 1. Dataset Summary
**ViSoLex‑HSD** is a unified Vietnamese hate‐speech detection corpus, combining three benchmark datasets:
* **ViHSD** (Son et al., 2021): 33K comments labeled **CLEAN**, **OFFENSIVE**, or **HATE**
* **UIT‑ViCTSD** (Nguyen et al., 2020): 10K comments annotated for **TOXIC** (mapped to **HATE**) or **CLEAN**
* **ViHOS** (Hoang et al., 2023): span‐level labels aggregated into comment‐level **HATE**/**CLEAN**
After renaming and mapping labels (0 = CLEAN; 1 = OFFENSIVE; 2 = HATE) and concatenating - with duplicate comments removed - the final DataFrame contains:
* **Columns**:
* `dataset`: original source (`ViHSD`/`ViCTSD`/`ViHOS`)
* `type`: split indicator (`train`/`validation`/`test`)
* `comment`: raw text
* `label`: numeric (0/1/2)
### 2. Supported Tasks and Metrics
* **Task**: Text classification – Hate speech detection
* **Labels**:
* 0 → CLEAN (no offensive content)
* 1 → OFFENSIVE (non‐hate offensive language)
* 2 → HATE (hate speech)
* **Metrics**: Accuracy, Precision/Recall/F1 per class
### 3. Languages
* Vietnamese
### 4. Dataset Structure
| Column | Type | Description |
| --------- | ------ | -------------------------------------- |
| `dataset` | string | Origin: `ViHSD` / `ViCTSD` / `ViHOS` |
| `type` | string | Split: `train` / `validation` / `test` |
| `comment` | string | The social‐media comment in Vietnamese |
| `label` | int | 0=CLEAN, 1=OFFENSIVE, 2=HATE |
### 6. Usage
```python
from datasets import load_dataset
ds = load_dataset("your-namespace/visolex-hsd")
train_ds = ds.filter(lambda x: x["type"] == "train")
val_ds = ds.filter(lambda x: x["type"] == "dev")
test_ds = ds.filter(lambda x: x["type"] == "test")
print(train_ds.features)
print(train_ds[0])
```
### 7. Dataset Creation & Processing
1. **Load original CSVs** for ViHSD, ViCTSD, ViHOS.
2. **Rename columns** to `comment` and `label`.
3. **Map labels**:
* ViHSD: keep 0/1/2.
* ViCTSD: map `Toxicity` 1→2, 0→0.
* ViHOS: span‐exists→2, no span→0.
4. **Concatenate**, retain only `dataset`, `type`, `comment`, `label`.
5. **Drop duplicates** on `comment`.
(Refer to the code snippet in the prompt.)
### 8. Source & Links
* **ViHSD**:
* GitHub: [https://github.com/sonlam1102/vihsd](https://github.com/sonlam1102/vihsd)
* Hugging Face: [https://huggingface.co/datasets/sonlam1102/vihsd](https://huggingface.co/datasets/sonlam1102/vihsd)
* Paper: Luu et al. (2021), “A large-scale dataset for hate speech detection on Vietnamese social media texts.”
* **UIT‑ViCTSD**:
* GitHub: https://github.com/tarudesu/ViCTSD
* Hugging Face: [https://huggingface.co/datasets/tarudesu/ViCTSD](https://huggingface.co/datasets/tarudesu/ViCTSD)
* Paper: “Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese” (Nguyen et al., 2020).
* **ViHOS**:
* GitHub: [https://github.com/phusroyal/ViHOS](https://github.com/phusroyal/ViHOS)
* Hugging Face: [https://huggingface.co/datasets/phusroyal/ViHOS](https://huggingface.co/datasets/phusroyal/ViHOS)
* Paper: Hoang et al. (2023), “ViHOS: Hate Speech Spans Detection for Vietnamese.”
### 9. Licenses & Citation
Please see each source’s license. If unspecified, assume **MIT** or **CC BY 4.0**.
**Citation Information**:
```bibtex
@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}
}
```
```bibtex
@InProceedings{nguyen2021victsd,
author="Nguyen, Luan Thanh and Van Nguyen, Kiet and Nguyen, Ngan Luu-Thuy",
title="Constructive and Toxic Speech Detection for Open-Domain Social Media Comments in Vietnamese",
booktitle="Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices",
year="2021",
publisher="Springer International Publishing",
address="Cham",
pages="572--583"
}
```
```bibtex
@inproceedings{hoang-etal-2023-vihos,
title = "{V}i{HOS}: Hate Speech Spans Detection for {V}ietnamese",
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"
}
```
[1]: https://arxiv.org/html/2404.19252v2?utm_source=chatgpt.com "ViTHSD: Exploiting Hatred by Targets for Hate Speech Detection on ..."
[2]: https://paperswithcode.com/dataset/uit-victsd?utm_source=chatgpt.com "UIT-ViCTSD Dataset - Papers With Code"
[3]: https://huggingface.co/datasets/phusroyal/ViHOS "phusroyal/ViHOS · Datasets at Hugging Face" |