Sign inGet started
Dataset · Hugging Face

walledai/SimpleSafetyTests

The dataset is obtained from the paper SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language Models and from the huggingface source. Abstract The past year has seen rapid acceleration in the development of large language models (LLMs). However, without proper steering and safeguards, LLMs will readily follow malicious instructions, provide unsafe advice, and generate toxic content. We introduce SimpleSafetyTests (SST) as a new… See the full description on the dataset page: https://huggingface.co/datasets/walledai/SimpleSafetyTests.

Author / organizationwalledai
License (as declared)cc-by-2.0
Downloads184 (as reported by Hugging Face)
Likes3
Created3 June 2024
Last updated at source18 October 2024
Embed this entry
<iframe src="https://silytics.si/embed/item/a06e26b4-5f9e-4ca6-8f35-42b1d0ee1948" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

184 now (-5 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 17 Oct 2026 Description: The dataset is obtained from the paper SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language Models and from the huggingface source. Abstract The past year has seen rapid acceleration in the development of → The dataset is obtained from the paper SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language Models and from the huggingface source. Abstract The past year has seen rapid acceleration in the development of

Changes detected by Silytics between refreshes of the source.

More from walledai

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.