seedream
Datasets
All datasets matching “seedream”unipic_seedream_4images
UniPic-Nano-4Images: A Multi-Image Composition Dataset
⚡ Quick Start
The image archive is split into multiple parts for easier downloading. To reconstruct and extract:
# Step 1: Concatenate split files into a single zip
cat nano-banana.part_* > nano-banana-4images.zip
# Step 2: Extract the images
unzip nano-banana-4images.zip
📖 Overview
UniPic-Nano-4Images is a high-quality multi-image composition dataset containing 48,805 samples designed for training… See the full description on the dataset page: https://huggingface.co/datasets/Skywork/unipic_seedream_4images.unipic_seedream_6images
UniPic-Nano-6Images: A Complex Multi-Image Composition Dataset
⚡ Quick Start
The image archive is split into multiple parts for easier downloading. To reconstruct and extract:
# Step 1: Concatenate split files into a single zip
cat nano-banana.part_* > nano-banana-6images.zip
# Step 2: Extract the images
unzip nano-banana-6images.zip
📖 Overview
UniPic-Nano-6Images is a high-quality complex multi-image composition dataset containing 41,508 samples designed… See the full description on the dataset page: https://huggingface.co/datasets/Skywork/unipic_seedream_6images.unipic_seedream_5images
UniPic-Nano-5Images: A Multi-Image Composition Dataset
⚡ Quick Start
The image archive is split into multiple parts for easier downloading. To reconstruct and extract:
# Step 1: Concatenate split files into a single zip
cat nano-banana.part_* > nano-banana-5images.zip
# Step 2: Extract the images
unzip nano-banana-5images.zip
📖 Overview
UniPic-Nano-5Images is a high-quality multi-image composition dataset containing 47,461 samples designed for training… See the full description on the dataset page: https://huggingface.co/datasets/Skywork/unipic_seedream_5images.Seedream-3_t2i_human_preference
Rapidata Seedream 3 Preference
This T2I dataset contains over ~400'000 human responses from over ~30'000 individual annotators, collected in less than 7h using the Rapidata Python API, accessible to anyone and ideal for large scale evaluation.
Evaluating OpenAI 4o (version from 26.3.2025) across three categories: preference, coherence, and alignment.
Explore our latest model rankings on our website.
If you get value from this dataset and would like to see more in the future… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/Seedream-3_t2i_human_preference.seedream-4.5-generated-2k
SeeDream 4.5 (2K) Dataset
200 AI-generated images at 2K quality.
License: MIT
VIBE-Seedream4.0