|
--- |
|
dataset_info: |
|
features: |
|
- name: prompt |
|
dtype: string |
|
- name: english_prompt |
|
dtype: string |
|
- name: label |
|
dtype: string |
|
- name: category |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 8528 |
|
num_examples: 50 |
|
download_size: 6362 |
|
dataset_size: 8528 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
language: |
|
- hi |
|
size_categories: |
|
- n<1K |
|
task_categories: |
|
- text-generation |
|
- text-classification |
|
license: apache-2.0 |
|
--- |
|
|
|
## Dataset Details |
|
TBD |
|
|
|
## Citation |
|
If you use the data, please cite the following paper: |
|
|
|
```bibtex |
|
@misc{gupta2024walledeval, |
|
title={WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language Models}, |
|
author={Prannaya Gupta and Le Qi Yau and Hao Han Low and I-Shiang Lee and Hugo Maximus Lim and Yu Xin Teoh and Jia Hng Koh and Dar Win Liew and Rishabh Bhardwaj and Rajat Bhardwaj and Soujanya Poria}, |
|
year={2024}, |
|
eprint={2408.03837}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.CL}, |
|
url={https://arxiv.org/abs/2408.03837}, |
|
} |
|
``` |
