datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
dojo_market_dynamicsHydroGym-environmentsmeta13sphere_IRS_DCE_Topological_Dynamics__Boundary_Dissolution_Physics
Resonance Resonance / IRS-DCE
MASTER README (FULL EXTENDED VERSION)
If you need the other data or pdf check on [https://huggingface.co/datasets/meta13sphere/phaseShift_shell_result_pdf]
[2026-09-22 Update]
MASK_BDP BBRCM: 조건부 운용의 통합 구조
배경·경계·분기·관측·계량을 분해하고 다시 조립하면서, 무엇이 보존되고 어떤 조건에서 결과가 달라지는지 정리한 연구입니다. 상보성 쌍과 제타/RH 관련 변환뿐 아니라 BBRCM 자체에도 같은 변형·스트레스 테스트를 적용했습니다.
주요 성과는 다음과 같습니다.
R32: 원래 함수공간과 정확한 직교사영 조건 아래에서 첫 셀의 잔차를 전체 극한 잔차와… See the full description on the dataset page: https://huggingface.co/datasets/meta13sphere/meta13sphere_IRS_DCE_Topological_Dynamics__Boundary_Dissolution_Physics.KoopmanRL
Dataset Card for KoopmanRL
Dataset Summary
This dataset contains the collected experimental data used for the results of Koopman-Assisted Reinforcement Learning allowing for the full reproduction, and further use of the paper's results. To reproduce the results by running the experiments yourself, please see the source code of KoopmanRL.
Dataset Structure
The dataset of the reinforcement learning experiments for KoopmanRL contains roughly 461MB of Tensorboard… See the full description on the dataset page: https://huggingface.co/datasets/dynamicslab/KoopmanRL.STUZero-Atari-Dynamics
STUZero Atari Dynamics Dataset
Offline dynamics training datasets collected from trained EfficientZero V2 (EZv2) benchmark models on Atari games. Each game's data is stored in a subfolder named {game}_{steps} indicating the game and the number of training steps of the source checkpoint. While all models were trained for 120K steps, best results in some games were attained at earlier checkpoints. The model with best eval scores was used to curate data for each game.… See the full description on the dataset page: https://huggingface.co/datasets/Shivamkak/STUZero-Atari-Dynamics.vibepi-060526-dynamicsThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 20,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos",
"tilt.pos"
]… See the full description on the dataset page: https://huggingface.co/datasets/VibeCuisine/vibepi-060526-dynamics.VanGogh_vs_TreeOilPainting_Torque_Brushstroke_Dynamics_EnergyField_Phase2_2026🚪 Quick Entry: Start Here
What is this dataset (in 2 sentences)
This dataset is not about what a painting looks like.
It is about what physically created it.
Instead of pattern recognition, this system forces AI to perform causal reasoning based on force, motion, and energy encoded in brushstrokes.
What you can do here
With this dataset, you can:
Reconstruct brushstroke motion from a static image
Infer pressure, torque, and stroke velocity
Test whether an AI… See the full description on the dataset page: https://huggingface.co/datasets/HaruthaiAi/VanGogh_vs_TreeOilPainting_Torque_Brushstroke_Dynamics_EnergyField_Phase2_2026.Semantic-Flow-Dynamics-SFD
Semantic Flow Dynamics (SFD) — A Formally Specified Social-Science Theory Corpus
TL;DR: 614 Chinese-language formalized social-science concepts across 25
papers, UUID-linked with typed derivation relations (derives_from,
leads_to, falsified_by, …) — usable for knowledge-graph construction,
RAG over structured theory, or as a Chinese formal-reasoning corpus.
Author: 黃正宇 Cheng Yu HuangContact: mthree.tw@gmail.com
What This Dataset Is
This corpus is an ongoing… See the full description on the dataset page: https://huggingface.co/datasets/mthreetw/Semantic-Flow-Dynamics-SFD.dynamics-of-instruction-tuning
💻 [Github Repo] • 📃 [Paper] • 👀 [Preview]
Update
12/01/23: Corrected ambiguous choices in the validation and test sets of the role-play chat data.
Overview
We introduce DoIT, a collection of over 40k human-curated instruction-output pairs in Chinese. This dataset is organized into ten representative ability categories: (1) STEM subject - Biology, (2) Humanity subject - History, (3) Code Generation, (4) Creative Writing, (5) Language proficiency - Chinese, (6)… See the full description on the dataset page: https://huggingface.co/datasets/ChiyuSONG/dynamics-of-instruction-tuning.EnhancementDetection_LibrittsTrainClean360Wham
Dataset Card for "EnhancementDetection_LibrittsTrainClean360Wham"
More Information needed
SpeechTextMatching_Tedlium2Train
Dataset Card for "SpeechTextMatching_TEDLIUM2Train"
More Information needed
SpeakerVerification_Aishell1Train
Dataset Card for "SpeakerVerification_AISHELL1Train"
More Information needed
polymer-dynamics-Wi_0.7SpeechTextMatching_LibrispeechTrainClean360
Dataset Card for "speechTextMatching_LibrispeechTrainClean360"
More Information needed
Disney-Theme-Park-Queue-Dynamics
🎢 Disney World Queue Dynamics
A Comprehensive EDA & Strategic Analysis
Author: Matan Zigelman • University: Reichman University • Date: March 2026
📋 Project Introduction: Disney Theme Park Queue Dynamics
This project analyzes a numeric-heavy operational dataset from a major Disney theme park, sourced from kaggle and containing approximately 3,757,301 records. The dataset is primarily driven by time-based and operational metrics ( e.g.… See the full description on the dataset page: https://huggingface.co/datasets/matanzig/Disney-Theme-Park-Queue-Dynamics.SpeechDetection_Aishell1Train
Dataset Card for "SpeechDetection_AISHELL1Train"
More Information needed
Dynamics_Simulation_Dataset
Dynamics Simulation Dataset
Dataset Summary
This dataset contains dynamics simulation trajectories computed with the Natural Coordinate Method (NCM). It is organized by benchmark case. Each case provides a training split and a test split, and each split contains multiple simulation runs with different initial conditions.
The dataset is intended for learning and evaluating dynamics models, trajectory prediction methods, control-aware models, and surrogate models… See the full description on the dataset page: https://huggingface.co/datasets/PerseusLjf/Dynamics_Simulation_Dataset.ChordClassification_AcousticGuitarAndPiano
Dataset Card for "chord_classification_acoustic_guitar_and_piano"
More Information needed
dynamic_systems_pretrain
Example Code for Using the Dataset
import numpy as np
from torch.utils.data import Dataset
from datasets import load_dataset
class PretrainDataset(Dataset):
def __init__(self, window_size=4096, nvar=11):
self.window_size = window_size
self.nvar = nvar
# init dataset
self.ds = load_dataset("mosaic-laboratory/dynamic_systems_pretrain")
def __len__(self):
return sum([len(self.ds[k]) for k in self.ds.keys()])
def __getitem__(self… See the full description on the dataset page: https://huggingface.co/datasets/mosaic-laboratory/dynamic_systems_pretrain.SpeakerVerification_Tedlium2Train
Dataset Card for "SpeakerVerification_TEDLIUM2Train"
More Information needed
NoiseSNRLevelPredictionGaussian_VoxcelebMusan
Dataset Card for "NoiseSNRLevelPredictiongaussian_VoxcelebMusan"
More Information needed
SpeechDetection_Tedlium2Train
Dataset Card for "speechDetection_TEDLIUM2Train"
More Information needed
NoiseSNRLevelPredictionNoise_VoxcelebMusan
Dataset Card for "NoiseSNRLevelPredictionnoise_VoxcelebMusan"
More Information needed
SpokenTermDetection_Tedlium2Train
Dataset Card for "SpokenTermDetection_Tedlium2Train"
More Information needed
generalization-dynamics-evals
Generalization Dynamics — Main Eval Suite
Prepared test sets for the 6 main evaluation families from
Generalization dynamics across fine-tuning
(Table 1).
Use with the unified runner:
https://github.com/jiaxin-wen/FT-generalization/tree/main/release
from huggingface_hub import snapshot_download
root = snapshot_download(
repo_id="jiaxin-wen/generalization-dynamics-evals", repo_type="dataset")
Or browse a single task (the dataset viewer shows all configs):
from datasets… See the full description on the dataset page: https://huggingface.co/datasets/jiaxin-wen/generalization-dynamics-evals.MARBLEGenreClassification_MTG-Genre-Fold1
Dataset Card for "MARBLEGenreClassification_MTG-Genre-Fold1"
More Information needed
latent-dynamicsdynamics-toy
Toy v2.1: independent families and crossed factors
This is the replacement Toy v2.1 release requested by the dataset owner. It supersedes the initial v2.1 extension at commit 2023f1d2254394f469877a4e2af3e6b78fa415a3. The unpublished development name was v2.2; there is no separate active v2.2 release. Pin the new commit SHA for reproducibility, because the v2.1 tag selects this replacement. Preregistered opaque v22_* family/point IDs retain their identity and are not version… See the full description on the dataset page: https://huggingface.co/datasets/seooyxx/dynamics-toy.dynamics-probing
PhysProbe Dynamics Probing Dataset
Manipulation episodes from Isaac Lab collected for probing physics understanding in video world models (V-JEPA 2, VideoMAE, DINOv2). Each episode includes dual-camera RGB (384×384), robot state, scripted/RL actions, and per-timestep physics ground truth (contact forces, object kinematics, physics randomization parameters).
Tasks
Task
Episodes
Policy
Physics Randomization
Push
1,500
Scripted (random direction, no target — Step… See the full description on the dataset page: https://huggingface.co/datasets/leesangoh/dynamics-probing.RespiratorySoundClassification_ICBHI2017