datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
locomosoul-benchmarks-locomo
soul.py LoCoMo Benchmark Results
Benchmark results for soul.py on the LoCoMo long-conversation memory benchmark.
Benchmarks repo: github.com/menonpg/soul-benchmarksInteractive results: menonpg.github.io/soul-benchmarks
What is soul.py?
soul.py is an open-source conversational memory layer for LLM agents. It provides multiple retrieval backends (BM25, Qdrant vector search, Relational Learning Model) and an auto-router that selects the best strategy per query.… See the full description on the dataset page: https://huggingface.co/datasets/pgmenon/soul-benchmarks-locomo.microduck-locomotion-dataset-v1
🦆 MicroDuck Locomotion Dataset V1.0: Zero-Slip Flat Ground Baseline
Publisher: devorah-ai-2026 / devorahai2026License: Commercial / CC-BY-SA 4.0Task: Bipedal Locomotion, Reinforcement Learning, Sim-to-RealHardware Platform: Antigravity 14-DOF MicroDuck Biped Robot
📌 Overview (개요)
본 데이터셋은 **14-DOF 소형 2족 보행 로봇(MicroDuck)**의 완벽한 평면 보행(Flat-ground walking) 궤적 및 제어 로그를 담은 고품질 합성 데이터(Synthetic Data)입니다. 기존 강화학습 기반 2족 보행 에이전트들이 흔히 겪는 발바닥 미끄러짐(Ice-Skating) 및… See the full description on the dataset page: https://huggingface.co/datasets/devorah-ai-2016/microduck-locomotion-dataset-v1.locomolafan_locomotion_k1
Lafan Locomotion K1
Motion-capture clips from the LAFAN1 dataset retargeted for the Booster Robotics K1 (22 motion DOF), used as reference motions for training in booster_mjlab.
Usage
With datasets:
from datasets import load_dataset
clips = load_dataset("<namespace>/lafan_locomotion_k1", split="train")
With booster_mjlab:
from booster_mjlab.motion import HfMotionDataset, MotionLoader
dataset = HfMotionDataset("<namespace>/lafan_locomotion_k1")… See the full description on the dataset page: https://huggingface.co/datasets/whirlwind-ams/lafan_locomotion_k1.han-humanoid-locomotion-stability-v1
Humanoid Locomotion Stability Dataset
Overview
Dataset ini berisi parameter pergerakan humanoid saat berjalan
dan label stabilitasnya.
Features
step_length_cm
stride_frequency_hz
center_of_mass_shift_cm
ground_reaction_force_n
terrain_type_index
imu_balance_variance
Target
stability_status (stable / unstable)
Task
Binary Classification
QualityVision-Locomotion-Pose-Dataset-Walking-Jogging-Running
QualityVision Locomotion Pose Dataset (Walking + Jogging + Running) — Sample
This is a compact, viewer-friendly sample extracted from a much larger HQ locomotion export generated by the QualityVision Motion Dataset Engine.
Looking for the full commercial export or custom delivery? See pricing & ready-made bundles on qvision.space/dataset-pricing.
What’s inside
data.jsonl: one JSON object per line (one frame per row) with 33 MediaPipe/BlazePose landmarks (x,y,z… See the full description on the dataset page: https://huggingface.co/datasets/Alaaharoun/QualityVision-Locomotion-Pose-Dataset-Walking-Jogging-Running.neon-locomotion-20k
neon-locomotion-20k
Locomotion — 20K episodes of synthetic 32-DoF joint trajectories for Neon VLA training.
Description
Walking, turning, stairs, crouching with cyclical gait patterns
Each episode contains:
language_instruction: Natural language task description
actions: JSON array of joint position trajectories (T × 32)
length: Episode length (timesteps)
Usage
import pyarrow.parquet as pq
table = pq.read_table("data.parquet")
df = table.to_pandas()… See the full description on the dataset page: https://huggingface.co/datasets/cagataydev/neon-locomotion-20k.han-humanoid-locomotion-dynamics-v1
Humanoid Locomotion Dynamics Dataset
Description
Dataset ini berisi metrik dinamika pergerakan humanoid
selama proses berjalan dan berbelok.
Features
sample_id (string)
stride_length_meter (float)
stride_frequency_hz (float)
center_of_mass_shift_cm (float)
torso_tilt_deg (float)
ground_contact_time_ms (float)
Target
locomotion_stability_score (0-1)
Task
Regression
Metrics
MAE
RMSE
R² Score