datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
wmo-oscar-satellites
WMO OSCAR Satellite Database
Part of the Orbital Mechanics Datasets collection on Hugging Face.
The most comprehensive international database of Earth observation satellites and instruments, maintained by the World Meteorological Organization (WMO) through their
OSCAR/Space portal (Observing Systems Capability Analysis and Review Tool).
Currently 1,025 satellites and 1,230 instruments from 81 space agencies worldwide.
Unlike catalogs that focus on a single agency (e.g., NASA, ESA)… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/wmo-oscar-satellites.VIS-SAR-Sat-Dataset
VIS–SAR Satellite Dataset
Spatially- and temporally-aligned visible (optical) ↔ SAR satellite image patches
for cross-modal representation learning (CLIP-style SAR↔visible alignment).
Contents
~3.68M paired patches (this is a snapshot of an in-progress 10M build).
shards/ — WebDataset .tar shards. Each sample key K has three members:
K.vis.npy — visible/optical, uint8 [3, 224, 224] (3 bands)
K.sar.npy — SAR, uint8 [2, 224, 224] (VV, VH)
K.json — per-sample… See the full description on the dataset page: https://huggingface.co/datasets/mjf-su/VIS-SAR-Sat-Dataset.sat-catalogos
SAT CFDI Catálogos
Catálogos oficiales del SAT (Servicio de Administración Tributaria) para CFDI.
Incluye los catálogos del Anexo 20 (factura electrónica y retenciones)
y los complementos de carta porte, nómina, comercio exterior y recepción de pagos.
Uso
from datasets import load_dataset, get_dataset_config_names
# Cargar un catálogo específico
ds = load_dataset("mayrop/sat-catalogos", "anexo_20_factura_electronica__4_0__c_uso_cfdi")
df = ds["train"].to_pandas()… See the full description on the dataset page: https://huggingface.co/datasets/mayrop/sat-catalogos.space-track-satcat
NORAD Satellite Catalog (SATCAT)
Credit: NASA
Part of a dataset collection on Hugging Face.
Dataset description
Complete NORAD Satellite Catalog from CelesTrak, tracking every object cataloged by the 18th Space Defense Squadron since 1957. Includes active satellites, defunct spacecraft, rocket bodies, and debris.
The SATCAT (Satellite Catalog) is the authoritative registry of all artificial objects in Earth orbit and beyond. Each entry includes launch… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/space-track-satcat.ucs-satellite-database
UCS Satellite Database
Credit: NASA
Part of a dataset collection on Hugging Face.
Dataset description
The Union of Concerned Scientists (UCS) Satellite Database is the most comprehensive publicly available database of operational satellites. Updated roughly quarterly, it includes detailed information about each operational satellite: its name, country of registry, operator, purpose, orbital parameters, launch details, and physical characteristics.
What… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/ucs-satellite-database.satellite-conjunctions
Satellite Conjunctions (SOCRATES Near-Misses)
Credit: NASA
Part of a dataset collection on Hugging Face.
Dataset description
A growing log of close approaches ("conjunctions") between catalogued objects in Earth orbit, from CelesTrak's SOCRATES screening service. Updated daily, accumulating distinct near-miss events over time.
SOCRATES (Satellite Orbital Conjunction Reports Assessing Threatening Encounters in Space) propagates the public two-line element… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/satellite-conjunctions.ts-satfire
Dataset Card for TS-SatFire
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
The TS-SatFire dataset is a comprehensive multi-temporal remote sensing dataset designed to cover the entire life cycle of wildfires. It provides a unified framework to support three critical and interconnected wildfire monitoring tasks: active fire detection, daily burned area… See the full description on the dataset page: https://huggingface.co/datasets/SamuelWu318/ts-satfire.satellite3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "franka",
"total_episodes": 166,
"total_frames": 36442,
"total_tasks": 2,
"total_videos": 498,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 15,
"splits": {
"train": "0:166"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/error-magnet/satellite3.picknplace_vegetables_pan_new_11This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100_follower",
"total_episodes": 47,
"total_frames": 38391,
"total_tasks": 1,
"total_videos": 141,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:47"},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/satvikahuja/picknplace_vegetables_pan_new_11.LFM-Orbit-SatData
LFM Orbit SatData
Retagged Earth-observation training data produced by LFM Orbit for the Liquid AI x DPhi Space Hackathon.
The default viewer config is training_assets.jsonl, which contains single-image SFT rows with image, messages, and metadata. Temporal sequence rows live in the temporal_sft config so the Hugging Face Dataset Viewer does not try to cast sequence rows into the single-image schema.
Configs
Config
File
Purpose
default
training_assets.jsonl… See the full description on the dataset page: https://huggingface.co/datasets/Shoozes/LFM-Orbit-SatData.sat_multiple_choice_math_may_23This is the set of math SAT questions from the May 2023 SAT, taken from here: https://www.mcelroytutoring.com/lower.php?url=44-official-sat-pdfs-and-82-official-act-pdf-practice-tests-free.
Questions that included images were not included but all other math questions, including those that have tables were included.
SATBench
SATBench: Benchmarking LLMs’ Logical Reasoning via Automated Puzzle Generation from SAT Formulas
Paper: https://arxiv.org/abs/2505.14615
Dataset Summary
Size: 2,100 puzzles
Format: JSONL
Data Fields
Each JSON object has the following fields:
Field Name
Description
dims
List of integers describing the dimensional structure of variables
num_vars
Total number of variables
num_clauses
Total number of clauses in the CNF formula
readable
Readable… See the full description on the dataset page: https://huggingface.co/datasets/LLM4Code/SATBench.satellite2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "franka",
"total_episodes": 116,
"total_frames": 24517,
"total_tasks": 1,
"total_videos": 348,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 15,
"splits": {
"train": "0:116"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/error-magnet/satellite2.Muse-Glimmer-SWE-Gym-2k
Muse-Glimmer-SWE-Gym-2k
Agentic coding traces from meta-models/Muse-Glimmer-30B, recorded for training a
speculative-decoding drafter. 1,981 mini-swe-agent trajectories over SWE-Gym and
SWE-bench-extra instances, and the 159,999 individual chat-completion calls behind them.
Configs
Config
Rows
Size
What it is
train
1,981
57 MB
One row per trajectory: the full conversation as messages.
raw
159,999
2.7 GB
One row per recorded API call: request and… See the full description on the dataset page: https://huggingface.co/datasets/Satgoy152/Muse-Glimmer-SWE-Gym-2k.record-draw-lerobot2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 53,
"total_frames": 70231,
"total_tasks": 1,
"total_videos": 108,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:53"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/SatSunFox/record-draw-lerobot2.satellite1.1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "franka",
"total_episodes": 51,
"total_frames": 10533,
"total_tasks": 1,
"total_videos": 153,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 15,
"splits": {
"train": "0:51"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/error-magnet/satellite1.1.mixer_on_off_new_4This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "so100",
"total_episodes": 60,
"total_frames": 20742,
"total_tasks": 1,
"total_videos": 240,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:60"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/satvikahuja/mixer_on_off_new_4.SATD_Contexte-commercerecord-testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so101_follower",
"total_episodes": 43,
"total_frames": 45113,
"total_tasks": 1,
"total_videos": 86,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:43"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/sattgle/record-test.logical-sata
LOGICAL-SATA
LOGICAL-SATA is a reading-comprehension benchmark for compound answer reasoning. Each instance has a paragraph, a question, and four candidate answer options. Every option joins two atomic answers under an explicit logical operator, AND, OR, or NEITHER/NOR. Exactly one option is valid per instance. The dataset is built to isolate logical composition from comprehension, so a model can get every atomic judgment right and still fail if it can't combine them correctly… See the full description on the dataset page: https://huggingface.co/datasets/ojayy/logical-sata.math_benchmark_test_saturation
LLM Leaderboard Data for Hendrycks MATH Dataset (2022–2024)
This dataset aggregates yearly performance (2022–2024) of large language models (LLMs) on the Hendrycks MATH benchmark. It is specifically compiled to explore performance evolution, benchmark saturation, parameter scaling trends, and evaluation metrics of foundation models solving complex math word problems.
Original source data: Math Word Problem Solving on MATH (Papers with Code)
About Hendrycks' MATH… See the full description on the dataset page: https://huggingface.co/datasets/nlile/math_benchmark_test_saturation.dl-npppe2-datasetairline-satisfaction-analysis
Airline Passenger Satisfaction – EDA Report
This project analyzes the Airline Passenger Satisfaction Dataset, containing 103,904 rows and 25 columns describing passenger demographics, flight information, and service ratings.The goal is to understand which factors influence satisfaction, identify important service features,and compare satisfaction between different traveler types and flight classes.
Dataset Overview
The dataset includes:
Passenger demographics (age… See the full description on the dataset page: https://huggingface.co/datasets/drukeroni/airline-satisfaction-analysis.satellite5This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "franka",
"total_episodes": 231,
"total_frames": 55004,
"total_tasks": 3,
"total_videos": 693,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 15,
"splits": {
"train": "0:231"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/error-magnet/satellite5.satnogs-transmitters
SatNOGS Satellite Transmitter Database
Credit: NASA
Part of a dataset collection on Hugging Face.
Dataset description
Crowdsourced database of satellite radio transmitters from the SatNOGS network, maintained by the Libre Space Foundation.
SatNOGS (Satellite Networked Open Ground Station) is an open-source project that maintains a comprehensive database of satellite transmitters, including uplink and downlink frequencies, modulation modes, baud rates, and… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/satnogs-transmitters.satellite1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "franka",
"total_episodes": 65,
"total_frames": 13984,
"total_tasks": 1,
"total_videos": 195,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 15,
"splits": {
"train": "0:65"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/error-magnet/satellite1.cube_pick_with_distance_new30This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100_follower",
"total_episodes": 30,
"total_frames": 21430,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:30"},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/satvikahuja/cube_pick_with_distance_new30.so100_test2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "so100",
"total_episodes": 40,
"total_frames": 35834,
"total_tasks": 1,
"total_videos": 120,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:40"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/satvikahuja/so100_test2.weather_france_radar_satellite_gs
This dataset is a ready-to-use fusion of multiple datasets for the France region, including:
Ground station data: Sourced from data.gouv.fr with a 1-hour resolution. It includes 7 weather KPIs: "RR1", "FF", "DD", "T", "U", "PMER", and "VV".
Radar imagery: Radar rainfall accumulation images from the Météo-France open data initiative.
Geospatial data: Land cover and ground height information from EarthEnv and OpenTopography.
Satellite imagery: Sourced from the EUMETSAT platform… See the full description on the dataset page: https://huggingface.co/datasets/meteolibre-dev/weather_france_radar_satellite_gs.