datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pd12m-fullThis dataset is the downloaded variant of Spawning/PD12M. More specifically, this dataset
is compatible with webdataset. It was made public after obtaining permission
from the original authors of the dataset.
You can use the following to explore the dataset with webdataset:
import webdataset as wds
dataset_path = "pipe:curl -s -f -L https://huggingface.co/datasets/sayakpaul/pd12m-full/resolve/main/{00155..02480}.tar"
dataset = (
wds.WebDataset(dataset_path… See the full description on the dataset page: https://huggingface.co/datasets/Spawning/pd12m-full.SpatialEdit-500K
SpatialEdit-500K
SpatialEdit-500K is a synthetic training dataset for fine-grained image spatial editing. It is built for learning geometry-aware edits such as object moving, object rotation, and camera viewpoint change.
The dataset was introduced in the paper SpatialEdit: Benchmarking Fine-Grained Image Spatial Editing. It is generated with a controllable rendering pipeline to provide structured spatial transformations at scale.
Project Resources
GitHub Repository:… See the full description on the dataset page: https://huggingface.co/datasets/EasonXiao-888/SpatialEdit-500K.HoliSpatial-QA-2MSpatialReasonerTrainmulti-target-spacecraft-pose-estimation
Multi-target Synthetic Dataset for Spacecraft Pose Estimation
Overview
This dataset was developed for 6D pose estimation of unseen, non-cooperative spacecraft in proximity-operations scenarios. Most existing datasets focus on a single target, which leads models to overfit to a specific spacecraft and limits their ability to generalize to previously unseen targets.
To address this limitation, the present dataset is multi-target and includes a wide variety of spacecraft… See the full description on the dataset page: https://huggingface.co/datasets/lorenzobottelli/multi-target-spacecraft-pose-estimation.SpatialQA-ESpatialQA-E is a robot manipulation dataset focusing on spatial relationship understanding.
Paper:
https://arxiv.org/abs/2406.13642
GitHub repo:
https://github.com/BAAI-DCAI/SpatialBot
SpatialBot-general QA, a VLM with precise depth understanding:
https://huggingface.co/RussRobin/SpatialBot
SpatialBench, the spatial understanding benchmark in general QA:
https://huggingface.co/datasets/RussRobin/SpatialBench
ASTRA
ASTRA: Autonomous Spacecraft Tracking and Rendezvous Archive
Anonymous review copy for our NeurIPS 2026 Datasets and Benchmarks Track submission.
ASTRA is a large-scale multi-satellite benchmark for 6-DoF spacecraft pose estimation, covering twenty NASA-referenced spacecraft rendered in Unreal Engine 5 and paired with FRESCO and NVIDIA COSMOS real-style variants. See the accompanying paper for full details.
Contents
This anonymous release contains the test split of… See the full description on the dataset page: https://huggingface.co/datasets/astra-spacecraft/ASTRA.spatialvid_framesSpatialQAspaceSPAR-select