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MatanBT/tropt-optbench-triggers

Name: MatanBT/tropt-optbench-triggers
Creator: MatanBT
Published: 2026-07-24T15:54:51
License: https://opensource.org/license/mit

published by @MatanBT

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

Last 30 days

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Size

96.9 MB

Created on HF

2026-07-24

Age

2 months ago

Description

TROPT — OptBench Triggers (Exp1: optimizer benchmark)

A store of optimized adversarial trigger suffixes produced by the

TROPT white-box optimizers, together with

the transfer evaluation of each trigger across a held-out set of harmful

instructions.

⚠️ Intended use — defensive security research only. These are adversarial

artifacts for evaluating and hardening LLM robustness (red-teaming,

jailbreak-robustness benchmarking). The harmful instructions come from the

public ClearHarm… See the full description on the dataset page: https://huggingface.co/datasets/MatanBT/tropt-optbench-triggers.

Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

2026-08-02[bot] Conversion to Parquetopen1 💬#1
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Metadata

License

mit

Repository

DIR eval_triggered_messages 4 files FILE .gitattributes FILE README.md FILE triggers.parquet

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

Gated dataset. You need to accept the author's terms on Hugging Face before downloading. Visit the repository, click Agree and access repository, then log in locally with huggingface-cli login and use one of the snippets below.

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)

from datasets import load_dataset
ds = load_dataset("MatanBT/tropt-optbench-triggers")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="MatanBT/tropt-optbench-triggers", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/MatanBT/tropt-optbench-triggers

Browse repository on Hugging Face ->