datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
webui-react-htmlcssjs-8740
WebUI React + HTML/CSS/JS 8,740
Curated export from ronantakizawa/webui containing every row where framework = react, plus 4,000 additional rows where framework = vanilla.
Screenshots: 8,740
React / vanilla HTML-CSS-JS rows: 4,740 / 4,000
Unique sample IDs: 2,914
Train / validation / test: 7,501 / 456 / 783
Viewports: 2,914 desktop / 2,913 mobile / 2,913 tablet
Images are stored as real image files and verified with Pillow.
viewer.html is a self-contained, paginated local… See the full description on the dataset page: https://huggingface.co/datasets/Reubencf/webui-react-htmlcssjs-8740.sd-reactor-node
ReActor Node 0.1.1b for ComfyUI
The Fast and Simple "roop-like" Face Swap Extension Node for ComfyUI, based on ReActor (ex Roop-GE) SD-WebUI Face Swap Extension
This Node goes without NSFW filter (uncensored, use it on your own responsibility)
Disclaimer | Installation | Usage | Troubleshooting | Updating
Disclaimer
This software is meant to be a productive contribution to the rapidly growing AI-generated media industry. It will help artists with tasks… See the full description on the dataset page: https://huggingface.co/datasets/crystantine/sd-reactor-node.microstructures-crystallization-chemical-reactions-sample
Chemical Microscopy Sample Dataset for Evaluation — by Mendeln J
Author: Giorgi JaparidzeVersion: 1.0License: Custom, non-redistributable, evaluation-only sample
🧪 Overview
This repository contains a small, representative sample of a larger 10-year archive of high-resolution chemical microscopy experiments.This sample represents only a very small portion of the full archive.
The complete dataset contains several thousand high-resolution RAW microscopy images and… See the full description on the dataset page: https://huggingface.co/datasets/Mendeln-J/microstructures-crystallization-chemical-reactions-sample.ReactBench
ReactBench: A Benchmark for Topological Reasoning in MLLMs on Chemical Reaction Diagrams
Dataset Summary
ReactBench is a comprehensive benchmark designed to evaluate the topological reasoning capabilities of Multimodal Large Language Models (MLLMs) specifically on chemical reaction diagrams. The dataset challenges models to interpret complex visual layouts, understand molecular transformations, and trace reaction pathways across different diagram structures.
Data… See the full description on the dataset page: https://huggingface.co/datasets/IDEA-AI4S/ReactBench.frontend-react-dataset
Frontend React Dataset
This dataset contains 1,000 matched examples for training and evaluating
multimodal screenshot-to-code systems.
Dataset structure
The dataset has one train split and exactly three columns:
screenshot: the source webpage screenshot as an embedded PNG image
description: a detailed, section-by-section visual description generated
with Gemini 3.6 Flash
response: React/TSX implementation generated with GPT-5.6 Sol
The response field contains… See the full description on the dataset page: https://huggingface.co/datasets/Reubencf/frontend-react-dataset.Flame-Eval-React
Flame-Eval-React: A Benchmark Dataset for Multi-modal React Code Generation Evaluation
Flame-Eval-React is the first benchmarking dataset specifically designed to evaluate the accuracy, functionality, and visual fidelity of vision-language models (VLMs) for React code generation.
This dataset includes manually curated React components that serve as the gold standard for evaluating the performance of image-to-code translation models.
Usage
Here we provide the code guidance… See the full description on the dataset page: https://huggingface.co/datasets/Flame-Code-VLM/Flame-Eval-React.audio-reactive-shaders-data
audio-reactive-shaders data
Precomputed data for the Kerr-Black-Hole-Visualizer shader in
audio-reactive-shaders.
Fetch it with that repo's download_data.py (resumable, SHA-256 checked);
the paths here match the repo's textures/ layout.
Proof of concept, not maintained.
file
what it is
textures/kerr_v7/kn/paths32.npy
Null geodesics around a Kerr-Newman black hole (a* = 0.997, Q* = 0.07), 32 path samples per pixel for a 2410x2410 view (kn_bake_modal.py)… See the full description on the dataset page: https://huggingface.co/datasets/marx161-cmd/audio-reactive-shaders-data.CV_Chemical_reactionsreact-retrieval-datasetsskin_reaction-multimodalchinese-reaction-meme-usagereactiveHalfthunder-react-experiments