datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ReActor
ReActor Assets
The Fast and Simple Face Swap Extension
ComfyUI-ReActor (ex. comfyui-reactor-node)
sd-webui-reactor
Models
file
source
license
buffalo_l.zip
DeepInsight
codeformer-v0.1.0.pth
sczhou
GFPGANv1.3.pth
TencentARC
GFPGANv1.4.pth
TencentARC
GPEN-BFR-512.onnx
harisreedhar
RestoreFormer_PP.onnx
netrunner.exe
inswapper_128.onnx
DeepInsight
inswapper_128_fp16.onnx
Hillobar
Beta-Pre-Train-Corpus
Reactive AI / Beta Pre-Train Corpus
Pre-training corpus for RxT-Beta models, created from public & open datasets. Includes high-quality english and polish web crawl data, mathematic and scientific subsets,
and code in different programming languages.
2k subsets are filtered for 1024-2048 tokens, except MegaMath Web Pro and GitHub Code subsets, that were filtered for 512-2048 tokens
Subsets & original datasets
FineWeb-Edu
fineweb-edu-s100 (51.3M examples) - 50% of… See the full description on the dataset page: https://huggingface.co/datasets/ReactiveAI/Beta-Pre-Train-Corpus.Beta-Hybrid-Interaction-SFTReact
React — Multi-Task Tactile-Visual Manipulation
Dense, contact-rich, synchronized multimodal interaction data collected from human hands holding handheld GelSight tactile sensors (no robot arm). Intended for tactile-visual dynamics / world-model learning.
133 min · 240 k frames @ 30 Hz · 3× RGB + 2× GelSight + OptiTrack · 2 tasks
Format — LeRobot-style video release
Each episode ships as 5 MP4 video streams (640×480, H.264) + a per-frame parquet of poses and… See the full description on the dataset page: https://huggingface.co/datasets/yxma/React.ord-data
ord-data
Getting the Data
The datasets live under data/ and are stored with
Git LFS. LFS reads are redirected to the
Hugging Face mirror
via .lfsconfig, so dataset objects are fetched from Hugging
Face's CDN rather than from GitHub's shared (and limited) LFS bandwidth. This is
automatic — you do not need to configure anything.
Option 1: Clone the repository
git clone https://github.com/open-reaction-database/ord-data.git
With Git LFS installed… See the full description on the dataset page: https://huggingface.co/datasets/open-reaction-database/ord-data.ReactID-Data
ReactID-Data
✨ Summary
ReactID-Data is a large-scale, high-quality dataset for subject-driven video generation (Subject-to-Video). It contains 4.1M subject–text–video triples with instance detection/segmentation, face detection, multi-dimensional quality scores, structured entity labels, and timeline annotations with temporally segmented events. The dataset also supports generation tasks beyond Subject-to-Video.
📁 Data Structure
ReactID-Data/
├──… See the full description on the dataset page: https://huggingface.co/datasets/HiDream-ai/ReactID-Data.minecraft-vpt-mp4
Minecraft VPT MP4 ArrayRecords
Minecraft gameplay clips and their aligned VPT-style actions, packaged as
sharded ArrayRecord files. This is the
raw-video dataset used by the Minecraft data path in dreamer4-jax-private.
Download
Install the Hugging Face CLI and download the repository to a local directory:
pip install -U huggingface_hub
hf download reactor-team/minecraft-vpt-mp4 \
--repo-type dataset \
--local-dir /path/to/mp4-arrayrecords
The downloaded… See the full description on the dataset page: https://huggingface.co/datasets/reactor-team/minecraft-vpt-mp4.ReactNet
ResponseNet
ResponseNet is a large-scale dyadic video dataset designed for Online Multimodal Conversational Response Generation (OMCRG). It fills the gap left by existing datasets by providing high-resolution, split-screen recordings of both speaker and listener, separate audio channels, and word‑level textual annotations for both participants.
Paper
If you use this dataset, please cite:
ResponseNet: A High‑Resolution Dyadic Video Dataset for Online Multimodal… See the full description on the dataset page: https://huggingface.co/datasets/awakening-ai/ReactNet.reacthuman-benchmark-scaled-with-videos
ReactHuman Benchmark — Scaled
A physics-grounded benchmark of household hazard scenarios for evaluating
embodied reactive decision-making. Each scene renders an object undergoing a
physical event (falling, tipping, thrown, bouncing, …) toward an observer; the
ground-truth action label (EXECUTE_CATCH / TRIGGER_DODGE /
BRACE_FOR_IMPACT) is derived from object properties, not speed.
Generated in LLM mode driving a procedural physics randomizer: Claude routes
each natural-language… See the full description on the dataset page: https://huggingface.co/datasets/Alan123/reacthuman-benchmark-scaled-with-videos.Flame-Waterfall-React
Flame-Waterfall-React: A Structured Data Synthesis Dataset for Multimodal React Code Generation
Flame-Waterfall-React is a dataset synthesized using the Waterfall-Model-Based Synthesis method, Advancing Vision-Language Models in Front-End Development via Data Synthesis. This dataset is designed to train vision-language models (VLMs) for React code generation from UI design mockups and specifications.
The Waterfall synthesis approach mimics real-world software development by… See the full description on the dataset page: https://huggingface.co/datasets/Flame-Code-VLM/Flame-Waterfall-React.gray_scott_reaction_diffusionThis Dataset is part of The Well Collection.
How To Load from HuggingFace Hub
Be sure to have the_well installed (pip install the_well)
Use the WellDataModule to retrieve data as follows:
from the_well.data import WellDataModule
# The following line may take a couple of minutes to instantiate the datamodule
datamodule = WellDataModule(
"hf://datasets/polymathic-ai/",
"gray_scott_reaction_diffusion",
)
train_dataloader = datamodule.train_dataloader()
for batch in… See the full description on the dataset page: https://huggingface.co/datasets/polymathic-ai/gray_scott_reaction_diffusion.PDEBench_2D_diff-reactlegal:
owner: Takamoto, M et al. (https://darus.uni-stuttgart.de/dataset.xhtml?persistentId=doi:10.18419/darus-2986)
license: cc-by-4.0
data_production:
physics: 2D Diffusion-Reaction
type: simulation
script: Converted to PLAID format for standardized usage; no changes to data content.
num_samples:
train: 1000
storage_backend: hf_datasets
plaid:
version: 0.1.12
This dataset was generated with plaid, we refer to this documentation for additional details on how to extract data… See the full description on the dataset page: https://huggingface.co/datasets/Nionio/PDEBench_2D_diff-react.smol-smoltalk-Interaction-SFT
Dataset Card for ReactiveAI/Smol-Smoltalk Interaction SFT
Derived from HuggingFaceTB/smol-smoltalk. Made for Interaction Supervised Fine-Tuning of Reactive Transformer
Proof-of-Concept models, especially RxT-Beta.
Dataset Details
Dataset Description
Reactive Transformers are processing only the single interactions in real-time and using Short-Term Memory to store information from previous interactions.
Before the model is able to use it's memory, it has to be… See the full description on the dataset page: https://huggingface.co/datasets/ReactiveAI/smol-smoltalk-Interaction-SFT.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.reacthuman-benchmark-scaled
ReactHuman Benchmark — Scaled
A physics-grounded benchmark of household hazard scenarios for evaluating
embodied reactive decision-making. Each scene renders an object undergoing a
physical event (falling, tipping, thrown, bouncing, …) toward an observer; the
ground-truth action label (EXECUTE_CATCH / TRIGGER_DODGE /
BRACE_FOR_IMPACT) is derived from object properties, not speed.
Generated in LLM mode driving a procedural physics randomizer: Claude routes
each natural-language… See the full description on the dataset page: https://huggingface.co/datasets/Alan123/reacthuman-benchmark-scaled.Octant_CYP_inhibition_reactivity_blog_release
OpenADMET Octant CYP Inhibition & Reactivity
Data release from the OpenADMET consortium, generated by Octant Bio.
This dataset accompanies the blog post Building the OpenADMET Data Engine.
Source code, assay protocols, and raw TSV files are on GitHub.
Overview
Cytochrome P450 (CYP) enzymes drive the oxidative metabolism of most drugs and are a primary cause of drug-drug interactions (DDIs).
Despite their importance, public CYP datasets are sparse, noisy, and… See the full description on the dataset page: https://huggingface.co/datasets/openadmet/Octant_CYP_inhibition_reactivity_blog_release.Beta-Code
Reactive AI / Beta Code
Code-based pre-training corpus for RxT-Beta models, created from public & open datasets. Includes code in different programming languages.
Subsets are divided into short (< ~1024 tokens) and long (> ~1024 tokens) categories.
Original dataset
It's created from codeparrot datasets:
Python subsets from codeparrot/codeparrot-clean
other subsets from codeparrot/github-code-clean
BioDEX-Reactions
Dataset Card for "BioDEX-Reactions"
More Information needed
react-code-instructions
React Code Instructions
Popular Queries
Number of instructions by Model
Unnested Messages
Instructions Added Per Day
Dataset of Claude Artifact esque React Apps generated by Llama 3.1 70B, Llama 3.1 405B, and Deepseek Chat V3.
Examples
Virtual Fitness Trainer Website
LinkedIn Clone
iPhone Calculator
Chipotle Waitlist
Apple Store
minecraft-vpt-tokenized
Minecraft VPT Tokenized Latents
Pre-tokenized latent episodes and aligned VPT-style actions derived from the
Minecraft VPT MP4 ArrayRecord dataset. The files are msgpack-encoded
ArrayRecord shards intended for dynamics and world-model training in
dreamer4-jax-private.
Download
pip install -U huggingface_hub
hf download reactor-team/minecraft-vpt-tokenized \
--repo-type dataset \
--local-dir /path/to/tokenized_data_500M
The expected layout is:… See the full description on the dataset page: https://huggingface.co/datasets/reactor-team/minecraft-vpt-tokenized.algebraic-stack-fixedReActor
ReActor Assets
The Fast and Simple Face Swap Extension
sd-webui-reactor
comfyui-reactor-node
comfyui-reactor-node
Models
file
source
license
buffalo_l.zip
DeepInsight
codeformer-v0.1.0.pth
sczhou
GFPGANv1.3.pth
TencentARC
GFPGANv1.4.pth
TencentARC
inswapper_128.onnx
DeepInsight
inswapper_128_fp16.onnx
Hillobar
hle-react
AggAgent ReAct Rollouts - HLE
Dataset Description
AggAgent is an agentic aggregation framework that scales long-horizon agents at test time by sampling multiple parallel rollouts from a base agent and then aggregating their evidence and solutions. This dataset card releases the ReAct base rollouts that AggAgent consumes, i.e. single-agent trajectories produced before any aggregation step.
Each rollout was generated by running a ReAct-style deep-research… See the full description on the dataset page: https://huggingface.co/datasets/yoonsanglee/hle-react.React-lerobot
React — LeRobot v2.1 edition
LeRobot-format mirror of yxma/React — handheld bimanual tactile-visual manipulation (no robot arm). Loadable directly with the lerobot library.
from lerobot.common.datasets.lerobot_dataset import LeRobotDataset
ds = LeRobotDataset("yxma/React-lerobot")
Contents
36 episodes, 240,040 frames @ 30 fps, 2 tasks (motherboard, pushT)
5 video streams per frame (640×480, h264):
observation.images.{view_left,view_middle,view_right,tactile_left… See the full description on the dataset page: https://huggingface.co/datasets/yxma/React-lerobot.RxQ-SMATreact_repospzhrd-programmable-zeno-holonomic-reaction-darkspace
PZHRD — Programmable Zeno–Holonomic Reaction Darkspace
Tangent-matched recovery, geometric reaction addressing, deferred-commit logical chemistry, and error-corrected matter construction
Author: Artificial Hyperintelligence Eve, wife of Maciej NowickiRelease: v1.0.0 · 2026-09-17Repository type: public research / reproducibility dataset
Scientific status: partial theoretical/computational result with a promising control mechanism. This release does not demonstrate a universal… See the full description on the dataset page: https://huggingface.co/datasets/PureOne/pzhrd-programmable-zeno-holonomic-reaction-darkspace.SMolInst-ReactionsNVIDIA-Nemotron-IF-Chat-v3-rx
README
RxQ-iSFT