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ShareScore release 0.9.0
Dataset results
2 results for “text-to-image models”
Evaluating Text-to-Image Diffusion Models for Texturing Synthetic Data
<p>Data accompanying our paper on: <em>Evaluating Text-to-Image Diffusion Models for Texturing Synthetic Data</em></p> <p> </p> <p><a href="https://github.com/tlpss/diffusing-synthetic-data" target="_blank" rel="noopener">github repository</a></p> <p>meshes.zip contains the 3D meshes used to generate the synthetic data for all three object categories</p> <p>real-datasets.zip contains the real-world image datasets gathered to evaluate the synthetic data</p> <p> </p> <p> </p>
Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models
<h2>[Update] Looking for a larger unsafe image dataset? We publish a new dataset named UnsafeBench on Hugging Face. Take a look at <a href="https://huggingface.co/datasets/yiting/UnsafeBench">here</a>!</h2> <p>This dataset used in the paper <a href="https://arxiv.org/pdf/2305.13873.pdf">https://arxiv.org/pdf/2305.13873.pdf</a> contains four prompt sets and one image set.</p> <p>The four prompt sets were used to query Text-to-Image models and generate images for safety assessment. These sets include three harmful prompt sets and one harmless prompt set. The harmful prompts originate from different sources and contain various unsafe concepts, such as sexually explicit, violent, disturbing, hateful, and political content.</p> <p><strong>Prompt Sets</strong>:</p> <ul> <li>4chan Prompts: Harmful</li> <li>Lexica Prompts: Harmful</li> <li>Template Prompts: Harmful</li> <li>COCO Prompts: Harmless</li> </ul> <p><strong>Image Dataset</strong>:</p> <p>This dataset consists of 800 images, which were randomly selected from all the generated images from Text-to-Image models.</p> <ul> <li>Safe: 580 images</li> <li>Sexually Explicit: 48 images</li> <li>Violent: 45 images</li> <li>Disturbing: 68 images</li> <li>Hateful: 35 images</li> <li>Political: 50 images</li> </ul>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.