datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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-Seedream4.0seedream-4.5-generated-2k
SeeDream 4.5 (2K) Dataset
200 AI-generated images at 2K quality.
License: MIT
VIBE-Seedream4.5SeedreamChartEdit_outputSeedreamStemEdit_outputSeedreamChartGen_outputPicaBench_Seedream_EditsSeedreamStemGen_outputVIBE-Seedream4.5