datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Env-seed-media
Env Seed Media
Binary seed assets (images, video, audio, fonts, brand marks) for the
sandbox environments used by the DecodingTrust agent platform and the
forgingground environment suite.
These files are separated out of the application repositories so the
env source stays lightweight and text-only. Each environment fetches its
media from here at build/seed time and places it back under the paths shown
below.
Layout
The tree mirrors each environment's own… See the full description on the dataset page: https://huggingface.co/datasets/AI-Secure/Env-seed-media.secure-contain-protect
Secure, Contain, Protect
A structured snapshot of the English SCP Foundation Wiki — every content page (SCPs, tales, hubs, GOI formats, essays and art) created between 2008 and 2026, harvested from the Crom GraphQL API. 19,438 pages by 3,479 credited authors, each with its raw Wikidot source text, rating, vote and comment counts, tags, authorship, alternate titles, and per-credit attributions (the credited author(s), distinct from whoever posted the page).
User/author pages… See the full description on the dataset page: https://huggingface.co/datasets/ozefe/secure-contain-protect.MMDecodingTrust-I2T
Overview
This repo contains the image-to-text dataset of MMDT (Multimodal DecodingTrust). This research endeavor is designed to help researchers and practitioners better understand the capabilities, limitations, and potential risks involved in deploying the state-of-the-art Multimodal foundation models (MMFMs). This dataset focuses on the following six primary perspectives of trustworthiness, including safety, hallucination, fairness, privacy, adversarial robustness, and… See the full description on the dataset page: https://huggingface.co/datasets/AI-Secure/MMDecodingTrust-I2T.Secure_Waters