datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
voxbox
VoxBox
This dataset is a curated collection of bilingual speech corpora annotated clean transcriptions and rich metadata incluing age, gender, and emotion.
Dataset Structure
.
├── audios/
│ └── aishell-3/ # Audio files (organised by sub-corpus)
│ └── ...
└── metadata/
├── aishell-3.jsonl
├── casia.jsonl
├── commonvoice_cn.jsonl
├── ...
└── wenetspeech4tts.jsonl # JSONL metadata files
Each JSONL file corresponds to a… See the full description on the dataset page: https://huggingface.co/datasets/SparkAudio/voxbox.explore-persona-space-datahuggingface-spaces-codes
📊 Dataset Description
This dataset comprises code files of Huggingface Spaces that have more than 0 likes as of November 10, 2023. This dataset contains various programming languages totaling in 672 MB of compressed and 2.05 GB of uncompressed data.
📝 Data Fields
Field
Type
Description
repository
string
Huggingface Spaces repository names.
sdk
string
Software Development Kit of the space.
license
string
License type of the space.… See the full description on the dataset page: https://huggingface.co/datasets/Weyaxi/huggingface-spaces-codes.3d-spatial-reasoning-2safedocs-1M-muse-spark-1.3-judged
SafeDocs: Muse Spark 1.3 judge annotations
Incrementally published, one complete shard per commit. All original source columns,
images, complete Paddle JSON, rows and row order are preserved. No language or quality
filtering. New columns: judge_verdict (PERFECT/ERROR), judge_reason, judge_status,
and judge_error. Operational failures retain the original page with a null verdict
and reason, status failed, and a diagnostic in judge_error; they are not OCR ERRORs.
Direct Meta API… See the full description on the dataset page: https://huggingface.co/datasets/albertklorer/safedocs-1M-muse-spark-1.3-judged.InteriorGS
InteriorGS: 3D Gaussian Splatting Dataset of Semantically Labeled Indoor Scenes
A comprehensive indoor scene dataset featuring 3D Gaussian representations with semantic annotations and spatial occupancy information.
Sample from the InteriorGS dataset. The dataset provides high-quality 3D Gaussian Splatting (3DGS) representations along with instance-level semantic bounding boxes and occupancy maps indicating agent-accessible areas. The red and yellow… See the full description on the dataset page: https://huggingface.co/datasets/spatialverse/InteriorGS.amara-spatial-10k
AmaraSpatial-10K
A Semantically Anchored, Metric-Scale 3D Dataset for Embodied AI and Spatial Computing
10,071 AI-generated 3D meshes across 10 top-level categories and 476 subcategories — from basilisks to bassoons, cottages to cosmic stations — curated by Zero One Creative to close the spatial alignment gap that makes most generative 3D repositories unusable for zero-shot deployment in game engines, robotics simulators, and AR/VR pipelines.
Every asset is… See the full description on the dataset page: https://huggingface.co/datasets/ZeroOneCreative/amara-spatial-10k.spacecast-data
Vlasiator Dataset for Machine Learning Studies
The data is stored in Zarr.
It can be downloaded to a local data directory with:
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="deinal/spacecast-data",
repo_type="dataset",
local_dir="data"
)
This will yield a local data folder that can be used with spacecast:
data/
├── graph/ - Directory containing graphs for training
├── run_1.zarr/ - Vlasiator run 1 with ρ = 0.5 cm⁻³… See the full description on the dataset page: https://huggingface.co/datasets/deinal/spacecast-data.PocketQubeSpatialEdit-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.Charge-040_0040-Sparse-Monopd12m-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.3d-spatial-reasoning-1SAGE-3D_VLN_Data
SAGE-3D VLN Data: Vision-Language Navigation Dataset with Hierarchical Instructions
Paper | Project Page | Code
A comprehensive VLN dataset featuring 2 million trajectory-instruction pairs across 1,000 indoor scenes, with hierarchical instruction design covering high-level semantic goals to low-level control commands.
Overview of SAGE-3D VLN Data. SAGE-3D VLN Data includes a hierarchical instruction, and two major task types (VLN + No-goal).
📢 News… See the full description on the dataset page: https://huggingface.co/datasets/spatialverse/SAGE-3D_VLN_Data.SAGE-3D_Collision_Mesh
SAGE-3D Collision Mesh: Physics-Enabled Collision Bodies for 3D Gaussian Scenes
Paper | Project Page | Code
High-precision collision geometry dataset extracted from 1,000 indoor Mesh scenes, enabling physically accurate navigation and interaction in virtual environments.
Collision Mesh of InteriorGS data captured on Issac Sim 5.0.
📢 News
2025-12-15: Released SAGE-3D Collision Mesh dataset with collision bodies for 1000 InteriorGS scenes.… See the full description on the dataset page: https://huggingface.co/datasets/spatialverse/SAGE-3D_Collision_Mesh.mid-space
MID-Space: Aligning Diverse Communities’ Needs to Inclusive Public Spaces
A new version of the dataset will be released soon, incorporating user identity markers and expanded annotations.
LIVS PAPER
Click below to see more:
Overview
The MID-Space dataset is designed to align AI-generated visualizations of urban public spaces with the preferences of diverse and marginalized communities in Montreal. It includes textual prompts, Stable Diffusion… See the full description on the dataset page: https://huggingface.co/datasets/mila-ai4h/mid-space.Language-Grounded_Sparse_Encoder_Training
Language-Grounded Sparse Encoder (LanSE) — Training Data
This repository hosts the AI-generated images and human annotation datasets accompanying the paper:
Human-like Content Analysis for Generative AI with Language-Grounded Sparse Encoders
Yiming Tang, Arash Lagzian, Srinivas Anumasa, Qiran Zou, Yingtao Zhu, Ye Zhang, Trang Nguyen, Yih-Chung Tham, Ehsan Adeli, Ching-Yu Cheng, Yilun Du, Dianbo Liu
National University of Singapore · Tsinghua University · Stanford University ·… See the full description on the dataset page: https://huggingface.co/datasets/DesmondYMTang2024/Language-Grounded_Sparse_Encoder_Training.libero_spatial_no_noops_1.0.0_lerobotlibero_gen_spatial_combination_hdf5SpatialCorpus-110MSparseVideoNav
SparseVideoNav Datasets
This repository contains the real-world navigation datasets released with OpenDriveLab/SparseVideoNav:
BVN: Beyond-the-View Navigation.
IFN: Instruction-Following Navigation.
Project links:
Project page: https://opendrivelab.com/SparseVideoNav
GitHub: https://github.com/OpenDriveLab/SparseVideoNav
Paper: https://arxiv.org/abs/2602.05827
Dataset Summary
SparseVideoNav studies real-world vision-language navigation with sparse future… See the full description on the dataset page: https://huggingface.co/datasets/OpenDriveLab/SparseVideoNav.qwen_trajectories_finalnemotron-3-nano-30b-20260719-spare-games-envs
Nemotron-3-Nano-30B SPARE Self-Play Environments (run_20260719_final)
This dataset packages the self-play generated game environments produced
by a live SPARE (Self-Play with Adaptive cuRriculum Extension) training run
of NVIDIA-Nemotron-3-Nano-30B-A3B. It is a raw-data export for another
agent to pick up, replay, and build its own visualization / weave log from.
Provenance
Run: run_20260719_final
Source Ray job: spare_nemotron_games_mtpg768_1784556397 (the live… See the full description on the dataset page: https://huggingface.co/datasets/msr-spare-1/nemotron-3-nano-30b-20260719-spare-games-envs.SpatialVIDSpatialVID: A Large-Scale Video Dataset with Spatial Annotations
Jiahao Wang1*
Yufeng Yuan1*
Rujie Zheng1*
Youtian Lin1
Jian Gao1
Lin-Zhuo Chen1
Yajie Bao1
Yi Zhang1
Chang Zeng1
Yanxi Zhou1
Xiaoxiao Long1
Hao Zhu1
Zhaoxiang Zhang2
Xun Cao1
Yao Yao1†
1Nanjing University 2Institute of Automation, Chinese Academy of Science
*Equal Contribution †Corresponding Author
CVPR 2026… See the full description on the dataset page: https://huggingface.co/datasets/SpatialVID/SpatialVID.sms_spam
Dataset Card for [Dataset Name]
Dataset Summary
The SMS Spam Collection v.1 is a public set of SMS labeled messages that have been collected for mobile phone spam research.
It has one collection composed by 5,574 English, real and non-enconded messages, tagged according being legitimate (ham) or spam.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
English
Dataset Structure
Data Instances
[More Information… See the full description on the dataset page: https://huggingface.co/datasets/ucirvine/sms_spam.SWiM-SpacecraftWithMasks
SWiM: Spacecraft With Masks
A large-scale instance segmentation dataset of nearly 64k annotated spacecraft images created using real spacecraft models, superimposed on a mixture of real and synthetic backgrounds generated using NASA's TTALOS pipeline. To mimic camera distortions and noise in real-world image acquisition, we added different types of noise and distortion.
Dataset Summary
The dataset contains over 63,917 annotated images with instance masks for varied… See the full description on the dataset page: https://huggingface.co/datasets/RiceD2KLab/SWiM-SpacecraftWithMasks.SwissCubeUniPhys-Bench
UniPhys-Bench
UniPhys-Bench is a human-verified benchmark comprising 1,927 heterogeneous
articulated 3D objects across two releases. It jointly evaluates articulation
semantics, articulation structure, part-level intrinsic physical properties,
and object-level scale and mass.
This repository is the primary UniPhys-Bench release. It contains 1,473
articulated 3D objects provided by Manycore Tech
(群核科技), with part decompositions created by professional designers.
The remaining 454… See the full description on the dataset page: https://huggingface.co/datasets/spatialverse/UniPhys-Bench.SpatialVID-HQSpatialVID: A Large-Scale Video Dataset with Spatial Annotations
Jiahao Wang1*
Yufeng Yuan1*
Rujie Zheng1*
Youtian Lin1
Jian Gao1
Lin-Zhuo Chen1
Yajie Bao1
Yi Zhang1
Chang Zeng1
Yanxi Zhou1
Xiaoxiao Long1
Hao Zhu1
Zhaoxiang Zhang2
Xun Cao1
Yao Yao1†
1Nanjing University 2Institute of Automation, Chinese Academy of Science
*Equal Contribution †Corresponding Author
CVPR 2026… See the full description on the dataset page: https://huggingface.co/datasets/FelixYuan/SpatialVID-HQ.enron_spamThis is a version of the Enron Spam Email Dataset, containing emails (subject + message) and a label whether it is spam or ham.