datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
700k_Human_Preference_Dataset_FLUX_SD3_MJ_DALLE3
NOTE: A newer version of this dataset is available Imagen3_Flux1.1_Flux1_SD3_MJ_Dalle_Human_Preference_Dataset
Rapidata Image Generation Preference Dataset
This Dataset is a 1/3 of a 2M+ human annotation dataset that was split into three modalities: Preference, Coherence, Text-to-Image Alignment.
Link to the Coherence dataset: https://huggingface.co/datasets/Rapidata/Flux_SD3_MJ_Dalle_Human_Coherence_Dataset
Link to the Text-2-Image Alignment dataset:… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/700k_Human_Preference_Dataset_FLUX_SD3_MJ_DALLE3.Flux_SD3_MJ_Dalle_Human_Alignment_Dataset
NOTE: A newer version of this dataset is available Imagen3_Flux1.1_Flux1_SD3_MJ_Dalle_Human_Alignment_Dataset
Rapidata Image Generation Alignment Dataset
This Dataset is a 1/3 of a 2M+ human annotation dataset that was split into three modalities: Preference, Coherence, Text-to-Image Alignment.
Link to the Coherence dataset: https://huggingface.co/datasets/Rapidata/Flux_SD3_MJ_Dalle_Human_Coherence_Dataset
Link to the Preference dataset:… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/Flux_SD3_MJ_Dalle_Human_Alignment_Dataset.imagenet-256-flux2-vae-latents
ImageNet-256 FLUX.2 VAE Latents
Pre-computed deterministic, model-facing encodings from the
FLUX.2 VAE (black-forest-labs/FLUX.2-dev)
for the full ImageNet-1K training set at 256x256 resolution, stored as Parquet
shards. Each example includes latents for both the original and horizontally
flipped image, enabling flip augmentation without re-encoding at training time.
Dataset Description
Each example contains:
Column
Shape
Stored type
Description… See the full description on the dataset page: https://huggingface.co/datasets/yuanchenyang/imagenet-256-flux2-vae-latents.Flux-2-pro_t2i_human_preference
Rapidata Flux 2 Pro Preference
This T2I dataset contains over ~400'000 human responses from over ~50'000 individual annotators, collected in less than 7h using the Rapidata Python API, accessible to anyone and ideal for large scale evaluation.
Evaluating Flux 2 Pro (version from 25.11.25) 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/Flux-2-pro_t2i_human_preference.Flux_SD3_MJ_Dalle_Human_Coherence_Dataset
NOTE: A newer version of this dataset is available: Imagen3_Flux1.1_Flux1_SD3_MJ_Dalle_Human_Coherence_Dataset
Rapidata Image Generation Coherence Dataset
This Dataset is a 1/3 of a 2M+ human annotation dataset that was split into three modalities: Preference, Coherence, Text-to-Image Alignment.
Link to the Preference dataset: https://huggingface.co/datasets/Rapidata/700k_Human_Preference_Dataset_FLUX_SD3_MJ_DALLE3
Link to the Text-2-Image Alignment dataset:… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/Flux_SD3_MJ_Dalle_Human_Coherence_Dataset.synthetic-infrared-maritime-vessel-dataset-flux2klein
Synthetic Infrared Maritime Vessel Dataset (FLUX2-Klein)
RGB maritime vessel images translated to synthetic infrared via a DreamBooth-finetuned FLUX.2-Klein-4B.
Layout
synthetic-infrared-maritime-vessel-dataset-flux2klein/
├── in-distribution/
│ ├── train/{C00,C02,...}/*.jpg
│ ├── val/{C00,C02,...}/*.jpg
│ ├── test/{C00,C02,...}/*.jpg
│ ├── labels.txt
│ └── selected-metadata-{train,val,test}.json
└── out-of-distribution/
├── val/{C01,C03,C06… See the full description on the dataset page: https://huggingface.co/datasets/hanchong/synthetic-infrared-maritime-vessel-dataset-flux2klein.med_flux2.0
Med Flux 2.0
Dataset Description
Med Flux 2.0 is a collection of publicly available medical datasets organized for medical research, data analysis, and machine learning experiments.
The dataset combines data from multiple public medical data sources. To improve storage and download efficiency, the original files are packaged into TAR shards.
This dataset is intended for research and development purposes only. It must not be used as a substitute for professional… See the full description on the dataset page: https://huggingface.co/datasets/xuekeqing/med_flux2.0.NearID-Flux_1024
NearID-Flux_1024 — Near-Identity Distractors (FLUX.1 inpainting)
This dataset contains near-identity distractors generated by FLUX.1 inpainting at 1024×1024 resolution as part of the NearID project.
Each sample contains up to 3 distractor images (nimg1, nimg2, nimg3): different but visually similar instances inpainted into the exact same background/context as the corresponding anchor in the base Aleksandar/NearID dataset. These distractors are used to train and evaluate… See the full description on the dataset page: https://huggingface.co/datasets/Aleksandar/NearID-Flux_1024.synthetic-infrared-maritime-vessel-dataset-flux2klein-degraded
Degraded Infrared Maritime Vessel Dataset
Real-ESRGAN's synthetic image degradation pipeline applied to the FLUX2-Klein synthetic infrared dataset.
Layout
synthetic-infrared-maritime-vessel-dataset-flux2klein-degraded/
├── in-distribution/
│ ├── train/{C00,C02,...}/*.jpg
│ ├── val/{C00,C02,...}/*.jpg
│ ├── test/{C00,C02,...}/*.jpg
│ ├── labels.txt
│ └── selected-metadata-{train,val,test}.json
└── out-of-distribution/
├── val/{C01,C03,C06,C16}/*.jpg… See the full description on the dataset page: https://huggingface.co/datasets/hanchong/synthetic-infrared-maritime-vessel-dataset-flux2klein-degraded.resage-par-peta-hyper-flux-pose
ReSAGE-PAR PETA hyper / FLUX / pose files
Private bundle of the files that were previously missing (False) from the local checklist, plus PETA dataset_all.pkl (105-d labels).
Excluded attributes (105 → 93 prompt vocab)
These 12 names are in dataset_all.pkl but not in the ReSAGE paper 93-attr prompt vocab:
personalLess30, personalLess45, personalLess60, personalLarger60,
personalLess15, upperBodyShortSleeve, upperBodyLongSleeve, upperBodyNoSleeve,
upperBodySuit… See the full description on the dataset page: https://huggingface.co/datasets/ZACK777/resage-par-peta-hyper-flux-pose.flux2-klein-face-injection-kyc-idv-pad-benchmark
FLUX.2 Face-Injection Attack Benchmark for KYC / IDV Presentation Attack Detection
5,450 images: identity-preserving synthetic face-injection attacks generated with FLUX.2
klein 4B (Black Forest Labs), paired one-to-one with real bona-fide references and stratified
across 12 demographic cells. Built for evaluating KYC / eKYC onboarding, identity verification
(IDV), passive liveness and document-photo fraud detectors. Capture-condition and background
variants of these same images… See the full description on the dataset page: https://huggingface.co/datasets/danb21/flux2-klein-face-injection-kyc-idv-pad-benchmark.flux-classification-embeddingsThe dataset contains over 200 embeddings and labels for FLUX classification. The dataset should be used in conjunction with the embedding model.
embeddings.npy - Contains the embeddings
labels.npy - contains the labels.
the_artist_flux_datasetDataset related to
The Artist | Flux edition.
Auto-tagged on Civitai.