datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
musclemimic-retargeted
MuscleMimic GMR Retargeted Motions
MuscleMimic paper: Towards Embodied AI with MuscleMimic: Unlocking full-body musculoskeletal motor learning at scale.
Pre-retargeted motion capture data for the MyoFullBody musculoskeletal model,
generated using General Motion Retargeting (GMR).
Dataset Groups
Group
Motions
Description
KIT_KINESIS_TRAINING_MOTIONS
972
KIT locomotion training set
KIT_KINESIS_TESTING_MOTIONS
108
KIT locomotion test set… See the full description on the dataset page: https://huggingface.co/datasets/amathislab/musclemimic-retargeted.MuscleCare-DataSetskeletal-muscle-atlas
🧬 Human Skeletal Muscle Aging Atlas - 10X Chromium Dataset
A comprehensive single-cell RNA-seq atlas of human skeletal muscle aging across the lifespan (15-75 years)
Skeletal muscle aging is characterized by progressive loss of muscle mass and strength, often leading to sarcopenia and frailty in older adults. This dataset originates from the Human Skeletal Muscle Aging Atlas study published in Nature Aging (2024), which provides molecular insights into how aging affects different… See the full description on the dataset page: https://huggingface.co/datasets/longevity-db/skeletal-muscle-atlas.human-muscle-aging-atlas-snRNAseq
Human Skeletal Muscle Aging Atlas (sn/scRNA-seq) Dataset
1. Data Overview
This dataset provides single-nucleus and single-cell RNA sequencing (sn/scRNA-seq) data specifically focusing on the human skeletal muscle across different age groups. It serves as a rich resource for investigating cell-type specific gene expression changes and cellular composition shifts that occur during the aging process in a critical human tissue.
The original data was sourced from the Human… See the full description on the dataset page: https://huggingface.co/datasets/longevity-db/human-muscle-aging-atlas-snRNAseq.mouse-muscle-aging-atlas-snRNAseq
Mouse Skeletal Muscle Aging Atlas (sn/scRNA-seq) Dataset
Dataset Overview
This dataset comprises single-nucleus and single-cell RNA sequencing (sn/scRNA-seq) data specifically focusing on the mouse skeletal muscle across different age groups. It serves as a valuable resource for investigating cell-type-specific gene expression changes and cellular composition shifts that occur during the aging process in a crucial mammalian model system.
The data was sourced from the… See the full description on the dataset page: https://huggingface.co/datasets/longevity-db/mouse-muscle-aging-atlas-snRNAseq.musclemimic-bimanual-retargeted
MuscleMimic GMR Retargeted Motions
MuscleMimic paper: Towards Embodied AI with MuscleMimic: Unlocking full-body musculoskeletal motor learning at scale.
Pre-retargeted motion capture data for the MyoBimanualArm musculoskeletal model,
generated using General Motion Retargeting (GMR).
Dataset Groups
Group
Motions
Description
AMASS_BIMANUAL_TRAIN_MOTIONS
1770
AMASS upper limb training set
AMASS_BIMANUAL_TEST_MOTIONS
312
AMASS upper limb test set… See the full description on the dataset page: https://huggingface.co/datasets/amathislab/musclemimic-bimanual-retargeted.musclemimic-datasets-20260903
MuscleMimic: Aug100 trajectories and complete EMG snapshot
Contains exactly 100 motion trajectories (80 train / 20 validation), their four support files, and the complete EMG data from the musclemimic_offline_20260903T141238 snapshot. The trajectory split matches the six selected checkpoints (T0–T4 seed0 and T1 seed1).
EMG data
Original paths under data3/yangfeiyang/WorkSpace/asi_strengthen_musclemimic/ are preserved:
jidian_measurement/data/: all P002 /… See the full description on the dataset page: https://huggingface.co/datasets/yangfy0627/musclemimic-datasets-20260903.totalsegmentator-muscles
TotalSegmentator Muscles Dataset
Dataset Description
The TotalSegmentator Muscles dataset for muscle segmentation (TotalSegmentator Muscles subset). This dataset contains CT scans with dense segmentation annotations.
Dataset Details
Modality: CT
Target: various muscle groups
Format: NIfTI (.nii.gz)
Dataset Structure
Each sample in the JSONL file contains:
{
"image": "path/to/image.nii.gz",
"mask": "path/to/mask.nii.gz"… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/totalsegmentator-muscles.paper_latella_2023_irim_muscle-force-estimation_dataset
Real-time Lower Leg Muscle Forces Estimation using a Hill-type Model and Whole-body Wearable Sensors
Claudia Latella, Antonella Tatarelli, Lorenzo Fiori, Riccardo Grieco, Lorenzo Rapetti, Daniele Pucci
5th Italian Conference in Robotics and Intelligent Machines (I-RIM), 2023
📂 Dataset
The dataset is related to a subject (S01) acquisition with 5 trials. Each trial folder is organized as follows:
a .tdf file containing the EMG acquisition via BTS Engineering surface… See the full description on the dataset page: https://huggingface.co/datasets/ami-iit/paper_latella_2023_irim_muscle-force-estimation_dataset.Muscle_Fatigue_CyclingThis dataset was created with healthy participants aged between 18 and 25 years old. The participants in this dataset were not frequent athletes.
The dataset consists of 8 EMG signals recorded from the domineering foot of each participant during a cycling trial. The participants performed exercises on a conditioned cycle, alternating with short periods of high-intensity sprints. When a participant could no longer sustain the sprint intensity, this was considered the first index of fatigue and… See the full description on the dataset page: https://huggingface.co/datasets/YominE/Muscle_Fatigue_Cycling.wan_showing_musclesThis dataset contains videos generated using Wan 2.1 T2V 14B.
muscle_fatigue_cycling
Muscle Fatigue Cycling EMG (TsFile)
This dataset is an Apache TsFile conversion of
YominE/Muscle_Fatigue_Cycling.
Modalities: Time-series.
Overview
Healthy participants aged 18–25 performed cycling trials with alternating high-intensity sprints.
8 EMG signals recorded from the dominant leg; Target is the fatigue label.
3 participants; each is a device identified by the patient TAG.
Converted observations: 3,002,137 rows across 1 TsFile file(s)
Source format:… See the full description on the dataset page: https://huggingface.co/datasets/THULab/muscle_fatigue_cycling.huberman_lab_Dr._Layne_Norton_The_Science_of_Eating_for_Health_Fat_Loss__Lean_Musclehuberman_lab_Science__Tools_for_Muscle_Growth_Increasing_Strength__Muscular_Recoveryhuberman_lab_Dr__Andy_Galpin_How_to_Build_Strength_Muscle_Size__Endurancehuberman_lab_Dr__Layne_Norton_The_Science_of_Eating_for_Health_Fat_Loss__Lean_Musclehuberman_lab_Perform_with_Dr__Andy_Galpin_Why_Muscle_Matters__How_to_Build_Ithuberman_lab_GUEST_SERIES__Dr._Andy_Galpin_Optimal_Protocols_to_Build_Strength__Grow_Muscleshuberman_lab_GUEST_SERIES__Dr__Andy_Galpin_Optimal_Protocols_to_Build_Strength__Grow_MusclesMuscle_Fatigue_CyclingThis dataset was created with healthy participants aged between 18 and 25 years old. The participants in this dataset were not frequent athletes.
The dataset consists of 8 EMG signals recorded from the domineering foot of each participant during a cycling trial. The participants performed exercises on a conditioned cycle, alternating with short periods of high-intensity sprints. When a participant could no longer sustain the sprint intensity, this was considered the first index of fatigue and… See the full description on the dataset page: https://huggingface.co/datasets/tpzjade999/Muscle_Fatigue_Cycling.forearm_muscle_om12huberman_lab_Perform_with_Dr._Andy_Galpin_Why_Muscle_Matters__How_to_Build_ItMuscleMastery
MuscleMastery
tags: MuscleTargeting, ExerciseDescriptions, DifficultyRating
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'MuscleMastery' dataset comprises a curated collection of exercises aimed at various muscle groups. Each entry provides a concise description, specifies the target muscle groups, assigns a difficulty level, and lists the necessary equipment. This dataset can be utilized by ML practitioners for… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/MuscleMastery.huberman_lab_Dr._Andy_Galpin_How_to_Build_Strength_Muscle_Size__Enduranceyolo-muscle-fiber-recognition
肌肉纤维识别数据集
本数据集为肌肉纤维识别数据集，适用于计算机视觉领域的目标检测任务。
数据集标签信息
类别名称：AL, AM, B, BB, BC, Da, Ds, IS, LD, OT, SS, Sb, TBLa, TBLo, TBa, TBm, TFA, TMaj, TMin, Tc, Tt
适用场景
AL, AM, B等多类目标的智能检测
目标检测模型训练与部署
计算机视觉算法研究
网盘地址
在线下载链接：https://www.data2.cn
在线获取数据集：肌肉纤维识别数据集
访问 https://www.data2.cn 访问 data2.cn 获取下载链接
ML2025_HW_Cardiac_Muscle
ML 2025 Cardiac Muscle Dataset
You have to extract the file before using the dataset.
Muscle_Fatigue_CyclingThis dataset was created with healthy participants aged between 18 and 25 years old. The participants in this dataset were not frequent athletes.
The dataset consists of 8 EMG signals recorded from the domineering foot of each participant during a cycling trial. The participants performed exercises on a conditioned cycle, alternating with short periods of high-intensity sprints. When a participant could no longer sustain the sprint intensity, this was considered the first index of fatigue and… See the full description on the dataset page: https://huggingface.co/datasets/Sams1357/Muscle_Fatigue_Cycling.twitter-Muscled0g66-2026.02.22-2025395211946623055-PoDRPGLR5SRkOU2T-part1Musclemuscle-tension-release-awareness