datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
particleflowparticlesplat-mimicgen
ParticleSplat: MimicGen data
Multi-view MimicGen data used by ParticleSplat: Self-supervised Object-centric Latent Particle Splatting
(project page, code).
Twelve tasks (stack, stack_three, square, threading, coffee, three_piece_assembly, hammer_cleanup,
mug_cleanup, kitchen, nut_assembly, pick_place, coffee_preparation), 200 D0 demonstrations each.
Every timestep of the renders provides 20 posed RGB-D views at 128×128: slots 0–7 form a camera path from the
agentview to the… See the full description on the dataset page: https://huggingface.co/datasets/lyuxinghe/particlesplat-mimicgen.pdg-particle-properties
PDG Particle Properties
Credit: NASA/JPL-Caltech/STScI/CXC/SAO
Part of a dataset collection on Hugging Face.
Dataset description
Properties of every known particle from the Particle Data Group (PDG) -- THE definitive reference for particle physics, used by every particle physicist worldwide.
The PDG, based at Lawrence Berkeley National Laboratory, has published its Review of Particle Physics since 1957 -- the single most cited publication in high-energy… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/pdg-particle-properties.particlesplat-rlbench
ParticleSplat: RLBench data
Multi-view RLBench data used by ParticleSplat: Self-supervised Object-centric Latent Particle Splatting
(project page, code).
Ten tasks (close_jar, open_drawer, sweep_to_dustpan_of_size, meat_off_grill, turn_tap,
slide_block_to_color_target, put_item_in_drawer, reach_and_drag, push_buttons, stack_blocks), 20 training
and 25 test episodes per task, rendered at 128×128 following the GNFactor / ManiGaussian protocol. Every timestep
provides the standard… See the full description on the dataset page: https://huggingface.co/datasets/lyuxinghe/particlesplat-rlbench.dataset-CoT-Particle-Astroparticle-Physics-193x-particle-forex-datasetparticlelifeparticle_transfer_demoThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 41,
"total_frames": 17769,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:41"
},
"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/ganatrask/particle_transfer_demo.dataset-CoT-Particle-Astroparticle-Physics-3752High-Spatiotemporal-Resolution-Particle-ImagingiDaVIE-particle-selection-vr-vs-desktop
VR vs desktop particle selection: user-study data (iDaVIE-p)
Anonymised data for the within-subjects study reported in
Particle Selection in Virtual Reality (Keren-Gil, Sivitilli, Marchetti, Gain, Marais;
University of Cape Town / IDIA; submitted to Virtual Reality, Springer).
Thirty-four participants selected 90 target galaxies out of the 16,816-galaxy
2MRS Galaxy Group Catalogue (the 2MASS Redshift Survey galaxies that belong to identified groups), once in VR (Meta Quest 2… See the full description on the dataset page: https://huggingface.co/datasets/boazkg/iDaVIE-particle-selection-vr-vs-desktop.dataset-CoT-Particle-Astroparticle-Physics-22Particle-Astroparticle-Physics-22particle-xstitchThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": null,
"total_episodes": 3000,
"total_frames": 597000,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 50,
"splits": {
"train": "0:3000"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": null… See the full description on the dataset page: https://huggingface.co/datasets/reece-omahoney/particle-xstitch.particle-detection-datasetsdrkspc_particlesSoil-Texture-and-Particle-Segmentation-Dataset
Soil Texture and Particle Segmentation Dataset
The current agricultural sector faces challenges in inadequate soil quality monitoring. Traditional soil analysis methods are often time-consuming and costly, making it difficult to meet the needs of precision agriculture. Existing solutions often lack sufficient precision and real-time capabilities, unable to effectively support agricultural decision-making. This dataset aims to provide high-quality semantic segmentation data on soil… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Soil-Texture-and-Particle-Segmentation-Dataset.Soil-Texture-and-Particle-Segmentation-Dataset
Soil Texture and Particle Segmentation Dataset
The current agricultural sector faces challenges in inadequate soil quality monitoring. Traditional soil analysis methods are often time-consuming and costly, making it difficult to meet the needs of precision agriculture. Existing solutions often lack sufficient precision and real-time capabilities, unable to effectively support agricultural decision-making. This dataset aims to provide high-quality semantic segmentation data on soil… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Soil-Texture-and-Particle-Segmentation-Dataset.particle-stitchThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": null,
"total_episodes": 3000,
"total_frames": 597000,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 50,
"splits": {
"train": "0:3000"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": null… See the full description on the dataset page: https://huggingface.co/datasets/reece-omahoney/particle-stitch.urine-particle-image-datasetparticleparticleinclusion_1synthetic-particle-packp2-etf-particle-filter-resultsIVIVC-with-particle-dissolution-module-in-OSPAtmos_Pollutants_ParticlesTHE-BASE-SHALL-COME-FREEMELTING DOWN THE WORLD
Particle_AcceleratorParticle_Accelerator_MCQ