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.huggingface-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.safedocs-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.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.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.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.qwen_trajectories_finalLanguage-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.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.SpatialCorpus-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.nemotron-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.enron_spamThis is a version of the Enron Spam Email Dataset, containing emails (subject + message) and a label whether it is spam or ham.
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.SPACCC_Tokenizer
The Tokenizer for Clinical Cases Written in Spanish
Introduction
This repository contains the tokenization model trained using the SPACCC_TOKEN corpus (https://github.com/PlanTL-SANIDAD/SPACCC_TOKEN). The model was trained using the 90% of the corpus (900 clinical cases) and tested against the 10% (100 clinical cases). This model is a great resource to tokenize biomedical documents, specially clinical cases written in Spanish.
This model was created using the Apache… See the full description on the dataset page: https://huggingface.co/datasets/Biomedical-TeMU/SPACCC_Tokenizer.Sparkle
Sparkle: Realizing Lively Instruction-Guided Video Background Replacement via Decoupled Guidance
Ziyun Zeng, Yiqi Lin, Guoqiang Liang, and Mike Zheng Shou
📦 Dataset
Sparkle is a large-scale video background replacement dataset comprising ~140K high-quality source–edited video pairs. It is fully open-sourced at 🤗stdKonjac/Sparkle. For full methodology and dataset details, please refer to our paper.
The dataset is organized into five themes along different… See the full description on the dataset page: https://huggingface.co/datasets/stdKonjac/Sparkle.Awesome_Spatial_VQA_BenchmarksPD12M
PD12M
Summary
At 12.4 million image-caption pairs, PD12M is the largest public domain image-text dataset to date, with sufficient size to train foundation models while minimizing copyright concerns. Through the Source.Plus platform, we also introduce novel, community-driven dataset governance mechanisms that reduce harm and support reproducibility over time.
Jordan Meyer Nicholas Padgett Cullen Miller Laura Exline
Paper Datasheet Project
About… See the full description on the dataset page: https://huggingface.co/datasets/Spawning/PD12M.semasia-mnist
Latents for mnist (timm)
This repository hosts precomputed latent representations (embeddings) extracted from timm image-classification backbones on mnist, released as part of SEMASIA — a large-scale resource for studying semantic communication, cross-model latent space alignment, and explainability.
Each config corresponds to a single model;
only that model's Parquet files are read on load_dataset.
Usage
Load with datasets and convert to… See the full description on the dataset page: https://huggingface.co/datasets/spaicom-lab/semasia-mnist.space-track-tle-history
Space-Track TLE History
Complete archive of Two-Line Element (TLE) orbital data for every tracked object in Earth orbit, from 1959 to 2026. Sourced from Space-Track.org bulk exports.
Quick Start
from datasets import load_dataset
# Load a specific year
ds = load_dataset("juliensimon/space-track-tle-history", data_files="data/tle_2024.parquet")
# Load everything (238M rows — use streaming for large-scale analysis)
ds =… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/space-track-tle-history.messirveJuly 2025 UPDATE: We released version 1.1, adding almost 200k new queries 🎉🎉🎉.
v1.2 further adds the article titles as columns for convenience.
Use with:
country = "full" # "ar", "bo", ...
version = "1.2"
dataset = datasets.load_dataset("spanish-ir/messirve", country, revision=version)
print(dataset)
Dataset Card for MessIRve
MessIRve is a large-scale dataset for Spanish IR, designed to better capture the information needs of Spanish speakers across different countries.… See the full description on the dataset page: https://huggingface.co/datasets/spanish-ir/messirve.GeoSR-Bench
GeoSR-Bench
Dataset and model weights for the paper:
Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration [arXiv]
The code is available on GitHub: https://github.com/ai-spatial/GeoSR-Bench
Dataset Description
GeoSR-Bench directly connects super-resolution (SR) with downstream Earth monitoring tasks, moving beyond conventional fidelity-based evaluation. It comprises spatially co-located… See the full description on the dataset page: https://huggingface.co/datasets/ai-spatial/GeoSR-Bench.Spark-234K
Spark-234K: Skeleton-Guided Scientific Reasoning from Large-Scale Literature
🎉 Accepted to EMNLP 2026 Findings!
Spark-234K is a scientific reasoning dataset containing 234K question-answer pairs synthesized from frontier scientific literature. Instead of directly generating QA pairs from full papers, SPARK first distills each paper into a compact reasoning skeleton—preserving its central claim, supporting evidence, quantitative relations, assumptions, and boundary… See the full description on the dataset page: https://huggingface.co/datasets/OpenDataArena/Spark-234K.gutenberg_spacy-ner
Dataset Card for "gutenberg_spacy-ner"
More Information needed
SpatialRGPT-Benchsms-spam-collection
SMS Spam Collection v.1
DESCRIPTION
The SMS Spam Collection v.1 (hereafter the corpus) is a set of SMS tagged messages that have been collected for SMS Spam research. It contains one set of SMS messages in English of 5,574 messages, tagged acording being ham (legitimate) or spam.
1.1. Compilation
This corpus has been collected from free or free for research sources at the Web:
A collection of between 425 SMS spam messages extracted manually from the Grumbletext Web… See the full description on the dataset page: https://huggingface.co/datasets/codesignal/sms-spam-collection.wmt-mqm-error-spans
Dataset Summary
This dataset contains all MQM human annotations from previous WMT Metrics shared tasks and the MQM annotations from Experts, Errors, and Context in a form of error spans. Moreover, it contains some hallucinations used in the training of XCOMET models.
Please note that this is not an official release of the data and the original data can be found here.
The data is organised into 8 columns:
src: input text
mt: translation
ref: reference translation
annotations: List… See the full description on the dataset page: https://huggingface.co/datasets/RicardoRei/wmt-mqm-error-spans.spandan-1M-V1.0-raw
Spandan
A Large Photoplethysmography (PPG) Signal Dataset of 1 Million+ Indian Subjects
In Sanskrit, "Spandan" (स्पन्दन - spandana) represents one of the most fundamental aspects of existence - the rhythmic pulsation that permeates all life. Derived from the root verb "spand" (स्पन्द), meaning "to throb" or "to pulsate," it beautifully captures the essence of the heartbeat.
Dataset Overview
Spandan is an extensive repository containing over 1 million… See the full description on the dataset page: https://huggingface.co/datasets/ekacare/spandan-1M-V1.0-raw.spacetravlr
SpaceTravLR dataset hub
Precomputed SpaceTravLR outputs: per-gene beta matrices (*_betadata.feather), run metadata, and optional per-sample .h5ad exports.
Layout
spacetravlr/
├── tonsil/ # placeholder / demo gene outputs
└── xenium_skin_mixed/
├── run.toml # shared training config for this cohort
├── manifest.json # sample index and upload metadata
├── sample12/
├── sample13/
├──… See the full description on the dataset page: https://huggingface.co/datasets/Koushul/spacetravlr.