datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MagicBrush
Dataset Card for MagicBrush
Dataset Summary
MagicBrush is the first large-scale, manually-annotated instruction-guided image editing dataset covering diverse scenarios single-turn, multi-turn, mask-provided, and mask-free editing. MagicBrush comprises 10K (source image, instruction, target image) triples, which is sufficient to train large-scale image editing models.
Please check our website to explore more visual results.
Dataset Structure
"img_id" (str):… See the full description on the dataset page: https://huggingface.co/datasets/osunlp/MagicBrush.MAGICK
MAGICK: A Large-scale Captioned Dataset Matting Generated Images using Chroma Keying
Ryan D Burgert, Brian L. Price, Jason Kuen, Yijun Li, Michael S Ryoo
Presented at CVPR 2024, the MAGICK dataset is a comprehensive collection of over 140,000 high-quality, captioned, single-subject 1024x1024 RGBA images. It is large enough to be used for image generation tasks!
Resources
Project Website: ryanndagreat.github.io/MAGICK
Paper: Read it here!
Dataset Explorer… See the full description on the dataset page: https://huggingface.co/datasets/OneOverZero/MAGICK.war3-maps
Warcraft III Community Map Archive
This public dataset preserves community-created Warcraft III maps and campaigns
for interoperability testing, search, research, and long-term access. Files are
deduplicated by SHA-256. Titles and other metadata are extracted with
war3-manager where the format permits.
Search and download individual maps: https://war3-archive.github.io/war3-maps/
Source and issue tracker: https://github.com/war3-archive/war3-maps
Layout… See the full description on the dataset page: https://huggingface.co/datasets/magicwenli/war3-maps.magicmakerisekaimahounotsukurikata
Bangumi Image Base of Magic Maker: Isekai Mahou No Tsukurikata
This is the image base of bangumi Magic Maker: Isekai Mahou no Tsukurikata, we detected 45 characters, 5120 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples… See the full description on the dataset page: https://huggingface.co/datasets/BangumiBase/magicmakerisekaimahounotsukurikata.vlmn_iphonecf100_cotrain_magicsoup_no_insta_sub5
vlmn_iphonecf100_cotrain_magicsoup_no_insta_sub5
Description
VLN Navigation dataset with 100% of counterfactual iphone data, 10% of magicsoup no insta subsampled to 5 points.
Processing Parameters
{}
Dataset Configuration
Train dataset:
mixer: mateoguaman/coda_every1_25pct_sub5: 0.1
mateoguaman/iphone_every1_sub5: 1.0
mateoguaman/scand_every1_50pct_sub5: 0.1
mateoguaman/spot_every1_sub5: 0.1
mateoguaman/tartandrive_every1_100pct_sub5: 0.1… See the full description on the dataset page: https://huggingface.co/datasets/mateoguaman/vlmn_iphonecf100_cotrain_magicsoup_no_insta_sub5.bird-10-datasetcommercial-image-to-video-model-benchmark
Commercial Image-to-Video Model Benchmark via Magic Hour
This reproducible study evaluates commercially useful image-to-video workflows across leading models available through one Magic Hour API integration.
Permanent archived release: Zenodo record and DOI 10.5281/zenodo.22683989.
Magic Hour AI, Inc. designed and funded the study and provides the API used to access every evaluated model. Results are published with all attempts, observed terminal time, API credits charged… See the full description on the dataset page: https://huggingface.co/datasets/magichourhq/commercial-image-to-video-model-benchmark.magic-the-gathering
Magic The Gathering Cards and Decks
Magic-RICH
Dataset Summary
Magic-RICH is a Chinese benchmark dataset for evaluating mobile GUI agents in realistic smartphone environments. It contains 4,000 step-level samples across four subsets, covering 17 categories and over 150 popular apps. Unlike many previous GUI datasets, Magic-RICH also includes special actions such as screenshot and long screenshot to better reflect real-world interactions. This dataset is designed for evaluation only (no train/dev split) and was used in the… See the full description on the dataset page: https://huggingface.co/datasets/GUIAgent/Magic-RICH.vlmn_iphonecf100_cotrain_magicsoup_no_insta_rdp
vlmn_iphonecf100_cotrain_magicsoup_no_insta_rdp
Description
VLN Navigation dataset with 100% of counterfactual iphone data, 10% of magicsoup no insta subsampled with RDP.
Processing Parameters
{}
Dataset Configuration
Train dataset:
mixer: mateoguaman/coda_every1_25pct_rdp: 0.1
mateoguaman/iphone_every1_100pct_rdp: 1.0
mateoguaman/scand_every1_50pct_rdp: 0.1
mateoguaman/spot_every1_100pct_rdp: 0.1
mateoguaman/tartandrive_every1_100pct_rdp: 0.1… See the full description on the dataset page: https://huggingface.co/datasets/mateoguaman/vlmn_iphonecf100_cotrain_magicsoup_no_insta_rdp.get_captions_magic_brushMagicBrushTestmagic-card-captions
Dataset Description
This dataset is used in the tutorial: Fine Tuning a Stable Diffusion Model using Multiple AMD GPUs
Fuyu-8B and BLIP were used to generate captions for Magic Card images collected from the web. Original images were obtained from Scryfall.
For each row the dataset contains image and text keys. image is a varying size PIL png, and text is the accompanying text caption. Only a train split is provided.
Examples
features a card of a woman holding a rose… See the full description on the dataset page: https://huggingface.co/datasets/clint-greene/magic-card-captions.magicmotion
MagicMotion: Controllable Video Generation with Dense-to-Sparse Trajectory Guidance
Quanhao Li*, Zhen Xing*, Rui Wang, Hui Zhang, Qi Dai, and Zuxuan Wu
* equal contribution
💡 Abstract
Recent advances in video generation have led to remarkable improvements in visual quality and temporal coherence. Upon this, trajectory-controllable video generation has emerged to enable precise object motion control through explicitly defined spatial paths.
However, existing methods… See the full description on the dataset page: https://huggingface.co/datasets/Qnancy/magicmotion.magical-girl-lyrical-nanoha-official-art-vermagicbathynet-s2-pixel-class-taco
MagicBathyNet s2 (pixel class)
This is a repackaging, not a new dataset. It is MagicBathyNet s2 (pixel class) by TU Berlin RSiM / BIFOLD (Agrafiotis et al.), Airbus (SPOT-6 imagery, via ESA TPM), Dep. of Land and Surveys of Cyprus (LiDAR reference), converted to TACO with its data unchanged. All credit belongs to the original authors: if you use it, please cite them and follow their licence.
original dataset · paper · licence: CC-BY-NC-4.0 (Zenodo record 16753753… See the full description on the dataset page: https://huggingface.co/datasets/isp-uv-es/magicbathynet-s2-pixel-class-taco.MagiciteBabel
API Key Configuration
Rename file open for edit api key.env to .env
Edit .env file and paste your API key:ANTHROPIC_API_KEY='your_claude_api_key'
OPENAI_API_KEY='your_openai_api_key'
MagicBabel for FFXIV
[th] โปรแกรมแปลบทสนทนาในเกมส์ FFXIV แบบ realtime สร้างโดยคนไทย
Description
MagicBabel is a real-time translation tool specifically designed for Final Fantasy XIV (FFXIV), created by a non-native English speaker to enhance the storytelling experience. The… See the full description on the dataset page: https://huggingface.co/datasets/iarcanar/MagiciteBabel.birds-9-ProtBySubsystems-resize-512magical_kingdommagic_brush_captionedqwen_image_layered_editing_with_qwen_image_edit_magic_brushnva-magicamagic-boost-demoPrecomputed multi-view images and meshes from the reproduced Instant3d.
magicbrush_qflux_2kmagic-animatemagicbrush-run50lego-technic-pieces
Dataset Card for Dataset Name
Database for lego sorter model uploaded
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Sample database for the my lego sorter model uploaded
Contains both sample images from each class as well as a numpy array file (.npy) that contains every image (~6000) used to train the model. The numpy file was created so that the dataset could… See the full description on the dataset page: https://huggingface.co/datasets/magichampz/lego-technic-pieces.magic_brush_valmagicmagicmagical-revolution-art
