← all datasets
from the project README
◆ Prompt injection & jailbreaks
In-the-Wild Jailbreak Prompts
MIT15,000+ real jailbreak prompts collected from Reddit, Discord and prompt sites (CCS 2024).
Summary
This is the official repository for the ACM CCS 2024 paper "Do Anything Now'': Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models by Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, and Yang Zhang. In this project, employing our new framework JailbreakHub, we conduct the first measurement study on jailbreak prompts in the wild, with 15,140 prompts collected from December 2022 to December 2023 (including 1,405 jailbreak prompts).
- Formats
csv- License
- MIT
- Added
- 2026-09-10
Get it
From the project’s own instructions where it documents any; otherwise a plain clone.
-
$ pip install datasets
The prompts are also published on Hugging Face; the repo's data/ folder holds the original CSVs.
-
$ python -c "from datasets import load_dataset; print(load_dataset('TrustAIRLab/in-the-wild-jailbreak-prompts', 'jailbreak_2023_12_25', split='train'))"
Contents
15 files 4.1 MB repository
-
.csv5 -
.py3 -
.md2 -
(no ext)2 -
.ipynb1 -
.png1 -
.zip1
Use it with
Commands are curated, not yet run by us.
Promptfoo — Run your promptfoo config against the dataset's rows as test cases.
$ promptfoo eval -c promptfooconfig.yaml -t sample.csv
DuckDB — Query the file in place with SQL — DuckDB detects CSV, JSON and JSONL by extension.
$ duckdb -c 'SELECT * FROM '\''sample.csv'\'' LIMIT 10'