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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

modalityAllTextImageAudioTabularVideo
taskAllText generationQuestion answeringImage classificationSpeech
sizeAllUnder 1K1K – 10K100K – 1M1M – 10M
formatAllParquetJSONCSVWebDataset
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01lsmpp /omni-refiner-kontext omni-refiner-kontext Uploaded via huggingface_hub API. 0 likes1.8k downloads8mo agoHugging Face02black-forest-labs /kontext-bench Kontext Bench Kontext Bench is a benchmark for image editing models consisting of source images paired with image editing instructions and category tags. The benchmark comprises 1026 unique image-prompt pairs derived from 108 base images from diverse sources. It spans five core tasks: local instruction editing, global instruction editing, text editing, style reference, and character reference. We found that the scale of the benchmark provides a good balance between reliable human… See the full description on the dataset page: https://huggingface.co/datasets/black-forest-labs/kontext-bench.image1K<n<10K65 likes432 downloads1y agoHugging Face03obvious-research /flux-kontext-ipa-datasetimage10K<n<100K2 likes347 downloads1y agoHugging Face04kontext-community /relighting This dataset contains image pairs edited with Flux Kontext [Max] and IC-Light V2 Vary for relighting Input images were downloaded from https://unsplash.com/ imagen<1K18 likes218 downloads1y agoHugging Face05kontext-security /ShellRisk-Bench ShellRisk-Bench ShellRisk-Bench is a reproducible benchmark for context-free binary risk classification of individual shell-command submissions. It asks whether a command poses meaningful cyber or system risk when evaluated without task, user, or session context. Release: The v0.1 Parquet train and test splits are publicly available through Dataset Viewer and load_dataset(). The benchmark contains a deterministic train split of 16,772 rows and test split of 4,194 rows. The test… See the full description on the dataset page: https://huggingface.co/datasets/kontext-security/ShellRisk-Bench.texttext-classification10K<n<100K3 likes133 downloads1mo agoHugging Face06fediry /flux-kontext-object-placement-dataset FLUX Kontext Object Placement Dataset A paired dataset for training object placement and image editing models using FLUX.1-Kontext architecture. Dataset Overview This dataset contains 503 images organized into paired source and target images for object placement tasks. Constructed using https://github.com/google/navi/ Dataset Structure images/ ├── start/ # Source images (250 images, 64MB) ├── end/ # Target images (251 images, 498MB) └── validation/ #… See the full description on the dataset page: https://huggingface.co/datasets/fediry/flux-kontext-object-placement-dataset.imagen<1K1 likes115 downloads1y agoHugging Face07thedeoxen /refcontrol-flux-kontext-dataset Flux Kontext RefControl Dataset This dataset was created for training Flux Kontext RefControl LoRAs.It provides paired data of control maps (depth, pose, lineart, canny) and their corresponding results for reference-guided training. 📂 Dataset Structure dataset/ │ ├── depth/ │ ├── control/ # depth maps │ └── result/ # corresponding images │ ├── pose/ │ ├── control/ # pose skeletons / keypoints │ └── result/ # corresponding images │ ├── lineart/ │ ├──… See the full description on the dataset page: https://huggingface.co/datasets/thedeoxen/refcontrol-flux-kontext-dataset.image1K<n<10K13 likes93 downloads1y agoHugging Face08f5aiteam /Kontext-Remove0 likes87 downloads1y agoHugging Face09obvious-research /flux-kontext-ipa-dataset-smallimagen<1K2 likes61 downloads1y agoHugging Face10RishubhPar /kontinuous_kontext_scaleimage10K<n<100K0 likes56 downloads11mo agoHugging Face11styly-agents /instructdesign-kontext InstructDesign-Kontext Dataset (Sample) 🚀 Training dataset sample for InstructDesign Flow - FLUX.1 Kontext [dev] Hackathon submission 📊 Dataset Overview This repository contains 100 sample pairs from the complete InstructDesign-Kontext training dataset. Each pair consists of: Original webpage screenshot (pair_*_original.jpg) Transformed design output (pair_*_output.jpg) Transformation instruction prompt (pair_*.txt) Note: This is a limited sample of the full dataset… See the full description on the dataset page: https://huggingface.co/datasets/styly-agents/instructdesign-kontext.image0 likes55 downloads1y agoHugging Face12lrzjason /object_removal_alpha_kontextimagen<1K4 likes52 downloads1y agoHugging Face13RishubhPar /kontinuous_kontext_sampleimagen<1K0 likes50 downloads10mo agoHugging Face14kontextox /uk_UA-ASMR Ukrainian ASMR TTS Dataset A Ukrainian text-to-speech dataset for training single-speaker ASMR-style voice models using Piper. Dataset Details Property Value Language Ukrainian (uk_UA) Speakers 1 Segments 7,318 Audio Format 16-bit WAV, 22050 Hz, Mono License CC0 Dataset Structure Prerequisites # Install Piper training dependencies git clone https://github.com/kontextox/piper1-gpl.git cd piper1-gpl python3 -m venv .venv source… See the full description on the dataset page: https://huggingface.co/datasets/kontextox/uk_UA-ASMR.text1K<n<10K0 likes46 downloads6mo agoHugging Face15lavinal712 /viton_hd_kontext VITON-HD Kontext This dataset is a clothing editing dataset derived from VITON-HD. image-to-image2 likes45 downloads8mo agoHugging Face16Rexlygod /flux_kontext_botox_foreheadimageimage-to-imagen<1K0 likes43 downloads11mo agoHugging Face17furaidosu /kontext-tosti-lora-datasetimagen<1K0 likes33 downloads1y agoHugging Face18ali5341 /oulu-flux-kontext-pairsimage1K<n<10K0 likes29 downloads9mo agoHugging Face19kontextox /czechcasting Academic Dataset Scraper A robust, multi-threaded Python web scraper designed to build structured academic datasets from web listings. It automates the collection of model profiles, high-resolution images, and automated content labels (NSFW classification) using computer vision. Output The script generates two primary outputs: 1. Directory Structure (dataset_images/) Images are saved in folders named by their unique ID extracted from the URL slug:… See the full description on the dataset page: https://huggingface.co/datasets/kontextox/czechcasting.image-to-image10K<n<100K1 likes29 downloads8mo agoHugging Face20nickyni /flux-kontext-api-tutorial-nexaapi Flux Kontext API Tutorial via NexaAPI Context-aware image generation and editing at $0.003/image — 13x cheaper than direct access. Quick Start pip install nexaapi from nexaapi import NexaAPI client = NexaAPI(api_key="YOUR_API_KEY") response = client.image.generate( model="flux-kontext", prompt="A futuristic cityscape at sunset, ultra-detailed, 8K resolution", width=1024, height=1024, num_images=1 ) print(response.image_url) Pricing… See the full description on the dataset page: https://huggingface.co/datasets/nickyni/flux-kontext-api-tutorial-nexaapi.0 likes25 downloads6mo agoHugging Face21svjack /Xiang_idol_Kontext_OmniConsistency_lora_Images Reference on transform by: https://huggingface.co/svjack/Kontext_OmniConsistency_lora use: "transform it into 3D Chibi style", "transform it into American Cartoon style", "transform it into Chinese Ink style", "transform it into Clay Toy style", "transform it into Fabric style", "transform it into Ghibli style", "transform it into Irasutoya style", "transform it into Jojo style","transform it into LEGO style", "transform it into Line style", "transform it into Macaron style", "transform… See the full description on the dataset page: https://huggingface.co/datasets/svjack/Xiang_idol_Kontext_OmniConsistency_lora_Images.imagen<1K1 likes22 downloads1y agoHugging Face22svjack /Xiang_IceCream_Kontext_OmniConsistency_ZoomOut_Videos Reference on transform by: https://huggingface.co/svjack/Kontext_OmniConsistency_lora use: "transform it into 3D Chibi style", "transform it into American Cartoon style", "transform it into Chinese Ink style", "transform it into Clay Toy style", "transform it into Fabric style", "transform it into Ghibli style", "transform it into Irasutoya style", "transform it into Jojo style","transform it into LEGO style", "transform it into Line style", "transform it into Macaron style", "transform… See the full description on the dataset page: https://huggingface.co/datasets/svjack/Xiang_IceCream_Kontext_OmniConsistency_ZoomOut_Videos.videon<1K1 likes22 downloads11mo agoHugging Face23RishubhPar /kontinuous_kontext_datasettabular100K<n<1M0 likes22 downloads10mo agoHugging Face24RishubhPar /kontinuous_kontext2image10K<n<100K0 likes19 downloads11mo agoHugging Face25terminusresearch /KontextMax-Edit-smolimagen<1K1 likes18 downloads1y agoHugging Face26svjack /genshin_woman_Formal_Outfit_flux1_kontext_fp8_extractedimagen<1K2 likes17 downloads1y agoHugging Face27ali5341 /casia-flux-kontext-pairsimagen<1K0 likes15 downloads9mo agoHugging Face28Kontext-Style /gpt-image-2-zq10k-2048gated GPT-Image-2 ZQ10K 2048 — Photometrically Corrected v2 This version replaces the earlier low-key release with the 10,000-image dataset used by the latest APT experiment. Images were generated at 2048 x 2048 by openai/openai/gpt-image-2 from the semantic-lighting-balanced v2 prompts, then corrected with M4 quantile PCHIP, luminance-only, shrink 0.8. Mean luminance changed from 0.41873 to 0.50619; the paired full target mean was 0.53295. Original corrected PNG bytes are embedded… See the full description on the dataset page: https://huggingface.co/datasets/Kontext-Style/gpt-image-2-zq10k-2048.imagetext-to-image10K<n<100K2 likes15 downloads2mo agoHugging Face29kontextox /asvp-debtors-dataset Інформація з автоматизованої системи виконавчого провадження Офіційний відкритий набір даних Міністерства юстиції України (реєстр № 28). Основні відомості Ідентифікаційний номер набору даних: реєстр № 28 (наказ Мін’юста № 897/5 від 28.03.2016) Найменування набору даних: Інформація з автоматизованої системи виконавчого провадження Дата першого оприлюднення: 10.12.2019 Стислий опис Набір містить інформацію про виконавчі провадження, зокрема: Прізвище, ім’я, по… See the full description on the dataset page: https://huggingface.co/datasets/kontextox/asvp-debtors-dataset.text10M<n<100M0 likes14 downloads6mo agoHugging Face30svjack /Xiang_IceCream_Kontext_OmniConsistency_lora_Images Reference on transform by: https://huggingface.co/svjack/Kontext_OmniConsistency_lora use: "transform it into 3D Chibi style", "transform it into American Cartoon style", "transform it into Chinese Ink style", "transform it into Clay Toy style", "transform it into Fabric style", "transform it into Ghibli style", "transform it into Irasutoya style", "transform it into Jojo style","transform it into LEGO style", "transform it into Line style", "transform it into Macaron style", "transform… See the full description on the dataset page: https://huggingface.co/datasets/svjack/Xiang_IceCream_Kontext_OmniConsistency_lora_Images.imagen<1K0 likes12 downloads1y agoHugging Face

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