Exploiting Instruction-Following Retrievers for Malicious Information Retrieval

This dataset includes malicious documents in response to AdvBench (Zou et al., 2023) queries. We have generated these documents using the Mistral-7B-Instruct-v0.2 language model. from datasets import load_dataset import transformers

ds = load_dataset("McGill-NLP/AdvBench-IR", split="train")

model_name = "meta-llama/Llama-Guard-3-1B" model =… See the full description on the dataset page: https://huggingface.co/datasets/McGill-NLP/AdvBench-IR.