datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
locomoLoCoMo
LoCoMo
An MTEB dataset
Massive Text Embedding Benchmark
LMEB dialogue-memory retrieval task based on LoCoMo, covering single-hop, multi-hop, temporal, open-domain, and adversarial long-conversation questions.
Task category
Retrieval (text-to-text)
DomainsSocial, Spoken
Reference
LMEB: Long-horizon Memory Embedding Benchmark
Source datasets:
KaLM-Embedding/LMEB
How to evaluate on this task
You can evaluate an embedding model on this dataset using the… See the full description on the dataset page: https://huggingface.co/datasets/mteb/LoCoMo.LocomoLoCoMoDocLoCoMo
LoCoMo
MTEB v2 text retrieval dataset layout for LoCoMo. The candidates configs store the per-query retrieval pool for each memory retrieval subset.
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.benchmark-locomolocomo-serializedThis repository reproduces the standard formatting implemented in https://github.com/snap-research/locomo for further reproducibility usages.
locomolocomo10-flatmemanto-locomo-results
Memanto — LoCoMo Benchmark Results
This dataset contains the full per-question evaluation results of Memanto on the LoCoMo long-term conversational memory benchmark, covering all five stages of a progressive ablation study. It accompanies the paper:
Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon AgentsSeyed Moein Abtahi, Rasa Rahnema, Hetkumar Patel, Neel Patel, Majid Fekri, Tara KhaniMoorcheh AI / EdgeAI Innovations[arXiv preprint] ·… See the full description on the dataset page: https://huggingface.co/datasets/moorcheh/memanto-locomo-results.locomo_preprocesslafan_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.LoCoMoSeg
Dataset Card for LoCoMoSeg
The segmented version of the LoCoMo dataset, with the usage of the segmenter proposed in the paper Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation.
Dataset Details
Dataset Description
The newly introduced columns are:
chunks: The segmented chunks.
cut_prob: The segmentation probabilities for each candidate cut point.
parallel_degree: The number of chunks.
If you find this… See the full description on the dataset page: https://huggingface.co/datasets/Syon-Li/LoCoMoSeg.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
locomo-benchmark-results
Logica Mind — LoCoMo Benchmark Results
Reproducible accuracy results for Logica Mind
(open-source agent memory) on LoCoMo, alongside published numbers for other
memory systems — all under the same protocol as the Mem0 paper
(arXiv:2504.19413): gpt-4o-mini as both
answerer and judge, adversarial category excluded, 1,540 scored questions.
Leaderboard (results.csv)
System
LoCoMo J
LLM at write time
Source
Letta (filesystem agent)
74.0%
agent-managed
Letta… See the full description on the dataset page: https://huggingface.co/datasets/rovemark/locomo-benchmark-results.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.locomolocomo-finetune-datahumanoid-locomotion-labels-v3benchmark-locomosessionhan-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
humanoid-motion-locomotion
Humanoid Motion Locomotion Dataset
Simplified humanoid walking and locomotion motion sequences.
Description
This dataset provides minimal joint trajectories representing humanoid walking cycles.
Intended Use
Locomotion learning
Walking pattern generation
Locomo