datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Fraud-R1-LLM-Defense-Fraud-Benchmark
Fraud-R1 : A Comprehensive Benchmark for Assessing LLM Robustness Against Fraud and Phishing Inducement
Shu Yang*, Shenzhe Zhu*, Zeyu Wu, Keyu Wang, Junchi Yao, Junchao Wu, Lijie Hu, Mengdi Li, Derek F. Wong, Di Wang†
(*Contribute equally, †Corresponding author)
😃 Github | 📜 Project Page | 📝 arxiv
❗️Content Warning: This repo contains examples of harmful language.
📰 News
2025/02/16: ❗️We have released our evaluation code.
2025/02/16: ❗️We have released our dataset.… See the full description on the dataset page: https://huggingface.co/datasets/Chouoftears/Fraud-R1-LLM-Defense-Fraud-Benchmark.eccommerce-fraudelent
Dataset Card for eccommerce-fraudelent
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/srushtiparakhiya/eccommerce-fraudelent/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/srushtiparakhiya/eccommerce-fraudelent.