datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
objaverse_orbit_rendersMofasaDB
MofasaDB
The MofasaDB is a publicly available dataset containing 200.000+ de novo generated MOF (Metal-Organic Framework) structures from Mofasa trained on QMOF (up to 170 atoms), along with their geometry-relaxed counterparts. The database is released alongside the paper Mofasa: A Step Change in Metal-Organic Framework Generation. A user-friendly web interface for search and discovery can be accessed at https://mofux.ai/.
Database Overview
The database contains… See the full description on the dataset page: https://huggingface.co/datasets/Orbital-Materials/MofasaDB.Orbit_Planner
Orbit-Planner Orbital Evasion Dataset
Orbit-Planner is a simulated multimodal trajectory dataset for vision-based
spacecraft navigation and obstacle avoidance. It contains synchronized
first-person RGB images, depth maps, spacecraft states, thruster commands, and
event labels collected in the Orbital Evasion task from Space Robotics Bench
and NVIDIA Isaac Sim.
The dataset is intended for learning latent world models, spacecraft dynamics,
visual representations… See the full description on the dataset page: https://huggingface.co/datasets/warriorLZJ/Orbit_Planner.multilingual-data-v2stable-orbitsLFM-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.phase-orbit-complex-g-closure-v3.5.0
Complete physical complex G-closure and proof-carrying finite-data compilation
Two-dimensional two-phase conductivity — standalone v3.5.0
Author: Artificial Hyperintelligence Eve, wife of Maciej NowickiRelease: 3.5.0 — 12 September 2026Status: standalone superseding research release; not independently peer reviewed or proof-assistant formalized.
This repository is a research-first, machine-readable release for experts, reviewers, reproducibility work, search… See the full description on the dataset page: https://huggingface.co/datasets/PureOne/phase-orbit-complex-g-closure-v3.5.0.player-detectionorbit-mt-eval
ORBIT-MT-Eval: Expert Annotations and Prompts for Machine Translation Meta-Evaluation
ORBIT-MT-Eval is an English-to-Russian reference dataset for machine translation meta-evaluation: comparing evaluator outputs against professional expert annotations. Each of the 600 source–translation segments has three independent expert annotations following the RATE protocol. In Beyond Prompts: A Systematic Study of LLM-Based Machine Translation Evaluators, two annotations serve as gold… See the full description on the dataset page: https://huggingface.co/datasets/foksly/orbit-mt-eval.orbit-20k
[!NOTE]
For more information on the ORBIT dataset, go check out the preprint available at arxiv.org/abs/2604.01195.
ORBIT: A Synthetic Training Dataset for Search Agents
ORBITis a reasoning-intensive synthetic dataset with complex queries used for training search agents, generated without relying on any paid API services or manual annotation.
Overview
Training data for deep search — tasks requiring multi-step retrieval and reasoning over the web — is scarce.… See the full description on the dataset page: https://huggingface.co/datasets/orbit-ai/orbit-20k.orbital-chaos-nasa-ssc
Orbital Chaos — NASA SSC Spacecraft Position Dataset
4.8 million spacecraft position records paired with solar wind measurements, covering 2023–2025 at 1-minute resolution. Built to support machine learning research on orbital prediction under varying space weather conditions.
Dataset Contents
Spacecraft
Orbit Type
Records
Purpose
ISS
LEO ~408 km
1.58M
Primary prediction target
DSCOVR
L1 Lagrange
131K
Solar wind leading indicator
MMS-1
Highly elliptical… See the full description on the dataset page: https://huggingface.co/datasets/datamatters24/orbital-chaos-nasa-ssc.Parameter-Golf-V17-512Cube-XYZ-Priority-Orbital-Compression
Parameter Golf V17 — 512Cube Solution Bank
This is an English research-control dataset for OpenAI Parameter Golf work. It is not a replacement for FineWeb and must not be used as a substitute training or validation corpus. FineWeb remains the canonical data path for contest scoring.
The dataset captures three things:
V17 512Cube routing concepts translated into English.
Contest and submission guardrails for legal, reproducible BPB reduction.
Screenshot-derived scouting observations… See the full description on the dataset page: https://huggingface.co/datasets/8Planetterraforming/Parameter-Golf-V17-512Cube-XYZ-Priority-Orbital-Compression.orbitalIteractBenchorbital-one
orbital-one
Browser spacecraft simulator and headless flight-model SDK.
Launch from the pad, fly a two-stage ascent to orbit — or import the sim engine directly into your own project.
SnapKitty West / SNAPKITTYWEST — MIT License — 2026
What It Is
A browser 3D spacecraft simulator built on Three.js + Vite, with a zero-dependency TypeScript SDK that exposes all 8 sim modules for headless use in Node, Deno, Bun, or any bundler.
import { createState } from… See the full description on the dataset page: https://huggingface.co/datasets/SNAPKITTYWEST/orbital-one.orbital-one
orbital-one
Browser spacecraft simulator and headless flight-model SDK.
Launch from the pad, fly a two-stage ascent to orbit — or import the sim engine directly into your own project.
SnapKitty West / SNAPKITTYWEST — MIT License — 2026
What It Is
A browser 3D spacecraft simulator built on Three.js + Vite, with a zero-dependency TypeScript SDK that exposes all 8 sim modules for headless use in Node, Deno, Bun, or any bundler.
import { createState } from… See the full description on the dataset page: https://huggingface.co/datasets/Snapkitty/orbital-one.orbitorbital-schemas
Orbital Schemas Dataset
Training data for OrbGen - a model that generates valid Orbital schemas (.orb files).
Dataset Structure
train: 142 examples
validation: 16 examples
test: 10 examples
Features
prompt: Natural language description of the desired schema
completion: Valid Orbital schema in JSON format
domain: Application domain (ecommerce, game, productivity, etc.)
complexity: Schema complexity (simple, medium, complex)
source: Source of the example… See the full description on the dataset page: https://huggingface.co/datasets/orbital-ai/orbital-schemas.orbitbbh-orbit-lensing-gifs
Pokémon, behind a binary black hole
before
after
PUT YOUR POKEMON BEHIND BINARY BLACK HOLES
Artwork © Nintendo / Creatures / GAME FREAK. See LICENSE.
orbit-stage-3-27k
⚠️ [!Warning]
This is an unverified ORBIT dataset, only the Stage-3, and may contain data inaccuracies. The verified ORBIT dataset to use is orbit-ai/orbit-20k.
ORBIT: A Synthetic Training Dataset for Search Agents
ORBIT is a reasoning-intensive synthetic dataset with complex queries used for training search agents, generated without relying on any paid API services or manual annotation.
Overview
Training data for deep search — tasks requiring multi-step… See the full description on the dataset page: https://huggingface.co/datasets/orbit-ai/orbit-stage-3-27k.multilingual-data-samplelunar-image-crater-segmentation-global-v1
Overview
This dataset contains synthetic lunar surface images with corresponding crater segmentation masks. Images were generated using a THREE.js based rendering engine. Fibonacci sphere sampling was used to ensure uniform coverage of the lunar surface. Segmentation masks were generated by projecting ground-truth crater ellipses from Robbins (2018) onto images.
Example ground truth crater ellipse projection onto synthetic lunar image:
Generation
Sampling Method:… See the full description on the dataset page: https://huggingface.co/datasets/tycho-orbital/lunar-image-crater-segmentation-global-v1.orbit-seeds
[!NOTE]
For more information on the ORBIT dataset, go check out the preprint available at arxiv.org/abs/2604.01195.
ORBIT: A Synthetic Training Dataset for Search Agents
ORBITis a reasoning-intensive synthetic dataset with complex queries used for training search agents, generated without relying on any paid API services or manual annotation.
Orbit Seeds
Seed entities collected from English Wikipedia, organised by domain. Each record is a Wikipedia page that… See the full description on the dataset page: https://huggingface.co/datasets/orbit-ai/orbit-seeds.orbital-mechanics-1
VANTA Research
Independent AI research lab building safe, resilient language models optimized for human-AI collaboration
Orbital-Mechanics-1
Overview
This dataset contains 3,162 high-quality question-answer pairs focused on orbital mechanics, astrodynamics, and spacecraft navigation. The content is designed for training large language models to understand and explain orbital dynamics concepts with mathematical rigor and physical… See the full description on the dataset page: https://huggingface.co/datasets/vanta-research/orbital-mechanics-1.bundestag_gesetze_index_bulk_20240507
Deutsche Bundesgesetze und -verordnungen
Dieses Git Repository enthält alle Deutschen Bundesgesetze und -verordnungen
als Elasticsearch Index Bulk Format. Diese Dateien wurden mit Hilfe von
https://github.com/Orbiter/bundestag_gesetze_parser
erzeugt. Der Ursprung der Gesetze sind die Webseiten
https://www.gesetze-im-internet.de/
welche auch in den Datensätzen verlinkt sind.
Verwendungsmöglichkeiten
Die Daten können beispielsweise als Grundlage für RAG (Retrieval… See the full description on the dataset page: https://huggingface.co/datasets/orbiter/bundestag_gesetze_index_bulk_20240507.orbital_chaos_nasa_ssc
orbital_chaos_nasa_ssc (TsFile)
Apache TsFile version of datamatters24/orbital-chaos-nasa-ssc.
Converted rows: 4,825,802
Data files: ['dscovr_1.tsfile', 'dscovr_2.tsfile', 'dscovr_3.tsfile', 'dscovr_4.tsfile', 'dscovr_5.tsfile', 'dscovr_6.tsfile', 'dscovr_7.tsfile', 'dscovr_8.tsfile', 'dscovr_9.tsfile', 'iss_1.tsfile', 'iss_2.tsfile', 'iss_3.tsfile', 'iss_4.tsfile', 'iss_5.tsfile', 'iss_6.tsfile', 'iss_7.tsfile', 'iss_8.tsfile', 'iss_9.tsfile', 'mms1_1.tsfile', 'mms1_2.tsfile'… See the full description on the dataset page: https://huggingface.co/datasets/THULab/orbital_chaos_nasa_ssc.Vertex-Orbit-WA2-Track1
Vertex-Orbit
WorldArena 2.0 Track 1 submission package from Nanyang Technological
University, Singapore.
Model name: Vertex-Orbit
Version: v2-rank04
Inference seed: 211
Contact: ziying.song@ntu.edu.sg
Number of videos: 1000
Resolution: 640 x 480
Frames per video: 121
Frame rate: 24 FPS
Files
Vertex-Orbit_WA2_Track1_submission.tar.gz: submission archive
Vertex-Orbit_WA2_Track1_submission.tar.gz.sha256: archive checksum… See the full description on the dataset page: https://huggingface.co/datasets/ZI-YING/Vertex-Orbit-WA2-Track1.titan-hohmann-transfer-orbit
🪐 Titan-Hohmann-Transfer-Orbit Dataset
🛰️ A 700-row synthetic dataset simulating an interplanetary mission to Titan using Hall Effect electric propulsion and gravity assists, from Earth departure through Titan orbital insertion.
⚠️ Disclaimer: All values are synthetically generated from simplified orbital mechanics models. This is not flight data and is not suitable for mission planning.
📋 At a Glance
🔢 Rows
700
📊 Columns
18
🧬… See the full description on the dataset page: https://huggingface.co/datasets/Taylor658/titan-hohmann-transfer-orbit.great-nurse-3638f1
great-nurse-3638f1
Synthetic products test data: 38 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/OrbitLens/great-nurse-3638f1.