datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Motion-o-MCoT-PLM-motion-keyframes
Motion-o-MCoT (PLM + motion keyframes)
Subset of STGR: STR_plm_rdcap rows with <motion in reasoning_process, plus sharded keyframes under videos/stgr/plm/kfs/.
Train split: 3,168 examples (see export_manifest.json in the repo for exact export stats).
Keyframes: JPEGs are stored under shard subfolders (e.g. videos/stgr/plm/kfs/plm_0150/…) so each directory stays under Hugging Face file-count limits. Each key_frames[].path in the JSON is relative to videos/stgr/plm/kfs/ (e.g.… See the full description on the dataset page: https://huggingface.co/datasets/bishoygaloaa/Motion-o-MCoT-PLM-motion-keyframes.StarCraft-MotionMotionFix
MotionFix MotionHub Format
This dataset contains the processed MotionFix motion-editing data in the MotionHub format.
It stores paired source and target motions as SMPL-H 52-joint parameter files, plus editing instructions and split annotations.
Please also follow the license and terms of the original MotionFix dataset.
Structure
MotionFix/
├── smplh_52/
│ ├── train/
│ │ ├── 000000_000499/
│ │ ├── 000500_000999/
│ │ └── ...
│ ├── val/
│ └── test/… See the full description on the dataset page: https://huggingface.co/datasets/ZeyuLing/MotionFix.SIS-Motion-54K
✨SIS-Motion-54K✨
SIS-Motion-54K is a motion-aware instruction-tuning dataset built from the AirScape training split. It is designed to fine-tune the SIS-Motion model for joint understanding of space (environment) and self (agent motion) in embodied UAV scenarios.
Important: This dataset is strictly separated from the SIS-Bench evaluation benchmark. It contains only perception and memory tasks — no reasoning-level data — so any generalization gains on… See the full description on the dataset page: https://huggingface.co/datasets/choucsan/SIS-Motion-54K.motionatlas-bench
MotionAtlas-Bench v1
MotionAtlas-Bench v1 is a video multiple-choice benchmark for motion and target-entity understanding. This public release contains MCQ records, answer keys, media, and target-object masks needed to reproduce the visual grounding settings.
Resources
Paper: https://arxiv.org/abs/2606.29531
Project page: https://kagura-0001.github.io/projects/MotionAtlas/
Code: https://github.com/Kagura-0001/MotionAtlas
MotionAtlas-Data:… See the full description on the dataset page: https://huggingface.co/datasets/maxLWSv2/motionatlas-bench.maniskill-pickcube-motionplanning-lerobot-v3
ManiSkill PickCube motion-planning — verified LeRobot v3 reference subset
Need to turn your own raw robotics data into LeRobot v3.0? Start a free conversion →
Community conversion produced by ViaCatalyst BYOD. This repository is not an official upstream release and is not affiliated with the ManiSkill authors.
This is a compact, provenance-complete conversion of the first 10 trajectories in the pinned ManiSkill PickCube-v1 motion-planning HDF5 file. It is a reproducible… See the full description on the dataset page: https://huggingface.co/datasets/ViaCatalyst/maniskill-pickcube-motionplanning-lerobot-v3.MotionChain_Conv
MotionChain: Conversational Motion Controllers via Multimodal Prompts
MotionChain introduces a multi-modal human motion conversation dataset with support for multi-modal prompts across diverse motion tasks.
Data Preparation
The whole MotionChain dataset comprises two main components: Human Motion data and language annotations.
Step 1. Download and Prepare the Human Motion Data.
Prepare human motion data from HumanML3D.
Follow the instructions HumanML3D and download the… See the full description on the dataset page: https://huggingface.co/datasets/OpenMotionLab/MotionChain_Conv.han-embodied-motion-intention-dataset-v1
Embodied Motion Intention Dataset
This dataset maps intended actions to physical motion
for humanoid agents operating in real or simulated environments.
Use Cases
Motion planning
Intent-to-action mapping
Safer physical interaction
Fields
intention_label
environment_state
motion_priority
safety_flag
Part of
Humanoid Network (HAN)
License
MIT
lead_marketing_runtime_Jan_2026motion_planning_for_automated_drivingThis question-answer dataset is extracted from paper A Survey on Hybrid Motion Planning Methods for Automated Driving Systems written by MReza Alipour Sormoli, Konstantinos Koufos, Mehrdad Dianati, Senior Member, IEEE, and Roger Woodman. Deepseek R1 is used as the extraction tool.
han-robot-motion-patterns-v1
Humanoid Robot Motion Patterns
This dataset records common and optimized
motion patterns used by humanoid robots.
Contents
Movement type
Motion sequence
Stability score
Use Cases
Motion planning
Balance optimization
Safer humanoid movement
Part of
Humanoid Network (HAN)
License
MIT
Anomalous-Running-Motion-Recognition-Dataset
Anomalous Running Motion Recognition Dataset
In the current security industry, sudden fast running and fleeing behaviors are often related to theft and other emergencies. However, the existing video surveillance systems generally lack the ability to detect such behaviors, making it difficult to respond and handle them effectively. This dataset aims to improve the accuracy and response speed of detection algorithms by providing a large number of anomalous running motion video… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Anomalous-Running-Motion-Recognition-Dataset.MotionBenchhan-humanoid-motion-performance-logs-v1
Humanoid Motion Performance Logs (HMPL)
Description
This dataset contains structured logs of humanoid
motion execution cycles in industrial settings.
Each row represents one motion task instance.
Features
motion_id (string)
payload_kg (float)
movement_distance_m (float)
movement_speed_m_s (float)
joint_load_index (float 0-1)
han-humanoid-motion-smoothness-records-v1
Humanoid Motion Smoothness Records (HMSR)
Description
This dataset contains structured motion metrics
collected during humanoid locomotion and manipulation tasks.
The goal is to model motion smoothness
based on joint and trajectory indicators.
Features
motion_id (string)
task_type (categorical)
joint_velocity_variance (float)
joint_acceleration_variance (float)
trajectory_deviation_cm (float)
step_time_variation (float)
motion_smoothness_score (0-1)… See the full description on the dataset page: https://huggingface.co/datasets/ariefansclub/han-humanoid-motion-smoothness-records-v1.motion_datasetAnomalous-Running-Motion-Recognition-Dataset
Anomalous Running Motion Recognition Dataset
In the current security industry, sudden fast running and fleeing behaviors are often related to theft and other emergencies. However, the existing video surveillance systems generally lack the ability to detect such behaviors, making it difficult to respond and handle them effectively. This dataset aims to improve the accuracy and response speed of detection algorithms by providing a large number of anomalous running motion video… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Anomalous-Running-Motion-Recognition-Dataset.marketing-leads-optimized
Lead Response Prediction - Fine-tuning with Unsloth
📋 项目概述
使用Unsloth微调Llama 3.1模型,预测潜在客户(Lead)的响应行为,包括:
响应类型: replied, email_opened, connection_accepted, meeting_completed等
响应推理: 为什么lead会这样反应
下一步建议: 应该采取什么行动
📊 数据集优化总结
原始数据 → 优化数据对比
指标
优化前
优化后
提升
总样本
1,689
2,588
+53%
replied样本
116 (6.9%)
200 (12.1%)
+72%
meeting样本
16 (0.9%)
200 (12.1%)
+1150%
多touchpoint占比
19.6%
~40%
+2倍
主要优化
类别平衡 - Smart策略
关键标签过采样到200… See the full description on the dataset page: https://huggingface.co/datasets/MotionG-ai/marketing-leads-optimized.humanoid-motion-command-v1
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/Validdrop/humanoid-motion-command-v1.humanoid-motion-basic
Humanoid Motion Basic Dataset
Basic humanoid motion data focused on balance and posture control.
Description
This dataset contains simplified joint trajectories representing standing balance and posture adjustments for humanoid robots.
Intended Use
Balance control training
Humanoid posture stabilization
motioncanvas-docsQuazim0t0__Motion-8B-Linear-details
Dataset Card for Evaluation run of Quazim0t0/Motion-8B-Linear
Dataset automatically created during the evaluation run of model Quazim0t0/Motion-8B-Linear
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Quazim0t0__Motion-8B-Linear-details.han-motion-command-dataset
HAN Motion Command Dataset
A structured dataset for humanoid robot motion command learning.
Structure
train.jsonl
test.jsonl
Fields
command (string)
speed / angle / duration (numeric)
action (string label)
Purpose
Created for HAN Network training data submission.
motion_data_2humanoid-motion-dataset-02humanoid-basic-motion-dataset-v1
Humanoid Basic Motion Dataset
A baseline placeholder dataset containing simplified representations
of basic humanoid motion patterns.
Overview
This dataset represents fundamental humanoid movements such as
walking forward, turning, stopping, and posture adjustment.
Intended Use
Humanoid motion learning
Robotics movement benchmarking
Control and navigation research
pitvqa-motion-distilledburpsie-motion-library
BurpSie Motion Library
Pre-generated motion clip library for the BurpSie avatar system.
Stats
Total clips: 545
Categories: 12
Skeleton: Kimodo SOMA (77 joints) → CC5 (52 bones)
Format: JSON with quaternion rotations + positions per frame
Categories
Category
Clips
Description
actions
70
actions motions
conversation
53
conversation motions
daily_life
30
daily_life motions
dance
161
dance motions
emotions
70
emotions motions
exercise
30… See the full description on the dataset page: https://huggingface.co/datasets/vanshseth03/burpsie-motion-library.motion-inferenceswim_motion_sequences.json