datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PointCloudCorruptionPointCloudPeople
Dataset Card for PointCloudPeople
The use of light detection and ranging (LiDAR) sensor technology for people detection offers a significant advantage in terms of data protection. However, to design
these systems cost- and energy-efficiently, the relationship between the measurement data and final object detection output with deep neural networks (DNNs) has to be
elaborated. Therefore, we present an automatically labeled LiDAR dataset for person detection, with different… See the full description on the dataset page: https://huggingface.co/datasets/LukasPro/PointCloudPeople.PointCloud-groundinglibero-3d-scene-pointcloud
LIBERO 3D Whole-Scene Point-Cloud GT (sim, labeled)
Per-frame whole-scene 3D point cloud for the LIBERO benchmark, sampled directly
from every object's visual mesh (posed by the replayed MuJoCo state) — complete,
view-independent geometry. Every point carries an instance label, and a single
is_ooi flag marks the task's objects-of-interest, so relevant objects are
extracted with one key at training time.
Scene = task objects + fixtures + the gripper (robot arm/mount excluded).… See the full description on the dataset page: https://huggingface.co/datasets/Kit-Key/libero-3d-scene-pointcloud.climbing-holds-pointcloud
Rock Climb — Grasp-Taxonomy-Aware 3D Diffusion Policy
Trains a DP3-style point cloud diffusion policy conditioned on grasp type (crimp/sloper/pinch/jug)
to autonomously grasp climbing holds with a Franka arm + LEAP Hand.
Quick Start (Training Machine)
1. Clone the repo
git clone https://github.com/rumilog/rock-climb.git tele
cd tele
2. Create a Python environment
python3 -m venv venv
source venv/bin/activate
pip install --upgrade pip
Install… See the full description on the dataset page: https://huggingface.co/datasets/rlogh/climbing-holds-pointcloud.foreground_object_pointcloudsPointcloud-VQAlibero-3d-pointcloud
LIBERO 3D Point-Cloud GT (sim teacher)
Per-frame, object-level 3D point-cloud ground truth for the LIBERO benchmark,
generated by replaying the official LIBERO human demonstrations' recorded MuJoCo
states in simulation and unprojecting the metric depth + per-object GT instance
segmentation (the "MuJoCo privileged upper bound"). No estimation — exact metric
geometry.
Source: LIBERO base demos (yifengzhu-hf/LIBERO-datasets), 130 tasks ×
50 demos across the 5 suites (spatial /… See the full description on the dataset page: https://huggingface.co/datasets/Kit-Key/libero-3d-pointcloud.libero-3d-pointcloud-complete
LIBERO 3D Point-Cloud GT — complete object meshes (sim)
Per-frame, object-level 3D point-cloud ground truth for the LIBERO benchmark.
We replay each official LIBERO human demonstration's recorded MuJoCo states and, at
every frame, sample each object's point cloud directly from its visual mesh
(area-weighted, posed by the live state) — giving complete, view-independent
clouds (full object incl. back/occluded surfaces), not a single-view 2.5D shell.
Exact metric geometry, no… See the full description on the dataset page: https://huggingface.co/datasets/Kit-Key/libero-3d-pointcloud-complete.point-cloud-ogb-cubeOfficial dataset for the OGBench-Cube manipulation task used in Does Latent Planning Survive Point Clouds? Action-Conditioned JEPA World Models for Geometric Observations and Goals
(arXiv:2608.29434).
point-cloud-pushtOfficial point cloud dataset for the PushT manipulation task used in Does Latent Planning Survive Point Clouds? Action-Conditioned JEPA World Models for Geometric Observations and Goals
(arXiv:2608.29434).
point-cloud-mnistThe MNIST dataset consists of 70,000 28x28 black-and-white points in 10 classes (one for each digits), with 7,000
points per class. There are 60,000 training points and 10,000 test points.point-cloud-reacherOfficial point cloud dataset for the PushT manipulation task used in Does Latent Planning Survive Point Clouds? Action-Conditioned JEPA World Models for Geometric Observations and Goals
(arXiv:2608.29434).
point-cloud-tworoomOfficial point cloud dataset for the Tworoom task used in Does Latent Planning Survive Point Clouds? Action-Conditioned JEPA World Models for Geometric Observations and Goals
(arXiv:2608.29434).
dialogue-pointcloud-text-benchmark
Dialogue Pointcloud Text Data Notes
Dataset summary
This data card accompanies a lightweight Dialogue loader for Pointcloud Text metadata. It is meant for pipeline inspection, source adaptation, and reproducible split preparation.
Included material
prepare.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md — data… See the full description on the dataset page: https://huggingface.co/datasets/danielwdw/dialogue-pointcloud-text-benchmark.news-media-pointcloud-text
News Media Pointcloud Text Data Notes
Dataset summary
This repository contains a preparation pipeline and a small metadata sample for News Media work with Pointcloud Text inputs. It does not claim to be a complete benchmark release; the loader documents how source data is normalized and validated.
Included material
clean.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small… See the full description on the dataset page: https://huggingface.co/datasets/BLRMISHRA00/news-media-pointcloud-text.pointcloud-text-data
Traffic Pointcloud Text Data Notes
Dataset summary
This data card accompanies a lightweight Traffic loader for Pointcloud Text metadata. It is meant for pipeline inspection, source adaptation, and reproducible split preparation.
Included material
preprocess.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md —… See the full description on the dataset page: https://huggingface.co/datasets/sshevchukartem/pointcloud-text-data.gym-xarm-pointcloudThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "gym-xarm",
"total_episodes": 50,
"total_frames": 18374,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 50,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/rishabhrj11/gym-xarm-pointcloud.memes-pointcloud-text-curated
Memes Pointcloud Text Data Notes
Dataset summary
This repository contains a preparation pipeline and a small metadata sample for Memes work with Pointcloud Text inputs. It does not claim to be a complete benchmark release; the loader documents how source data is normalized and validated.
Included material
dataset.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small… See the full description on the dataset page: https://huggingface.co/datasets/akashsinghman/memes-pointcloud-text-curated.ecommerce-pointcloud-text26
Ecommerce Pointcloud Text Data Notes
Dataset summary
Preparation notes and schema examples for Ecommerce tasks using Pointcloud Text data. Full source material is intentionally not bundled, so provenance and licensing remain explicit.
Included material
dataset.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md —… See the full description on the dataset page: https://huggingface.co/datasets/AndrewGarciacaf/ecommerce-pointcloud-text26.pointcloud-text-data
Ocean Pointcloud Text Data Notes
Dataset summary
Preparation notes and schema examples for Ocean tasks using Pointcloud Text data. Full source material is intentionally not bundled, so provenance and licensing remain explicit.
Included material
loader.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md — data card… See the full description on the dataset page: https://huggingface.co/datasets/punegupta/pointcloud-text-data.wheat3d_pointcloud
wheat3d_pointcloud
Dataset Summary
wheat3d_pointcloud is a preprocessed version of a 3D point cloud dataset originally stored as .ply files. It contains 3D scans of wheat plant parts that have been cleaned, normalized, and uniformly sampled to a fixed number of points. Each example is saved as a .npy array representing a processed point cloud.
Supported Tasks
3D object classification
Shape completion or reconstruction
Generative modeling (for example… See the full description on the dataset page: https://huggingface.co/datasets/sakshambedi/wheat3d_pointcloud.pointcloud-text-samples
Ecommerce Pointcloud Text Data Notes
Dataset summary
Preparation notes and schema examples for Ecommerce tasks using Pointcloud Text data. Full source material is intentionally not bundled, so provenance and licensing remain explicit.
Included material
loader.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md —… See the full description on the dataset page: https://huggingface.co/datasets/jesanchez0211z/pointcloud-text-samples.emgena_robotics_lidar_pointcloud_downsample_mcp_teaser
🤖 Robotics Perception - 3D LiDAR PointCloud2 Voxel Filter Guard (Evaluation Teaser)
⚡ Official Free Evaluation Teaser (50 Verified Scenarios + Executable MCP Server)🏆 Get the Full Production Package & Commercial EULA on Gumroad:👉 Purchase Full Package on Gumroad🏷️ Use coupon code LAUNCH20 for €20 off at checkout!
🌟 Domain Overview & Robotics Features
Downsamples dense LiDAR point clouds and sanitizes NaN values to prevent perception pipeline CPU starvation… See the full description on the dataset page: https://huggingface.co/datasets/emgena/emgena_robotics_lidar_pointcloud_downsample_mcp_teaser.pointcloud-text-dataset
Weather Pointcloud Text Data Notes
Dataset summary
This repository contains a preparation pipeline and a small metadata sample for Weather work with Pointcloud Text inputs. It does not claim to be a complete benchmark release; the loader documents how source data is normalized and validated.
Included material
load_data.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small… See the full description on the dataset page: https://huggingface.co/datasets/giordanoner/pointcloud-text-dataset.satellite-pointcloud-text-benchmark
Satellite Pointcloud Text Data Notes
Dataset summary
This data card accompanies a lightweight Satellite loader for Pointcloud Text metadata. It is meant for pipeline inspection, source adaptation, and reproducible split preparation.
Included material
prepare.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md —… See the full description on the dataset page: https://huggingface.co/datasets/NicolasDurand/satellite-pointcloud-text-benchmark.food-pointcloud-text-curated-2024
Food Pointcloud Text Data Notes
Dataset summary
A documented Food data-preparation workflow for Pointcloud Text records. The bundled rows demonstrate the schema and validation path rather than pretending to be a full training corpus.
Included material
dataset.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md —… See the full description on the dataset page: https://huggingface.co/datasets/bisi-bello/food-pointcloud-text-curated-2024.gym-xarm-pointcloud-v0This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "gym-xarm",
"total_episodes": 53,
"total_frames": 21167,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 50,
"splits": {
"train": "0:53"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/rishabhrj11/gym-xarm-pointcloud-v0.weather-pointcloud-text
Weather Pointcloud Text Data Notes
Dataset summary
This data card accompanies a lightweight Weather loader for Pointcloud Text metadata. It is meant for pipeline inspection, source adaptation, and reproducible split preparation.
Included material
clean.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl — small, human-readable records for checking the schema.
README.md — data… See the full description on the dataset page: https://huggingface.co/datasets/Aaravyada/weather-pointcloud-text.pointcloud-text-data
Weather Pointcloud Text Data Notes
Dataset summary
This repository contains a preparation pipeline and a small metadata sample for Weather work with Pointcloud Text inputs. It does not claim to be a complete benchmark release; the loader documents how source data is normalized and validated.
Included material
build_dataset.py — loading, cleaning, and split preparation code.
dataset_infos.json — schema and split metadata.
metadata_sample.jsonl —… See the full description on the dataset page: https://huggingface.co/datasets/Deepakdevi/pointcloud-text-data.