datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.orbit-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-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.orbital-mechanics-instruct-32
🛰️ Orbital Mechanics Instruction Dataset
Expert-crafted prompt–completion pairs for fine-tuning LLMs on space mission analysis and design
📋 Dataset Summary
A curated dataset of 32 expert-crafted instruction–completion pairs designed for fine-tuning large language models on orbital mechanics and space mission analysis tasks. Each example contains a natural-language problem statement paired with a structured, step-by-step solution featuring properly formatted… See the full description on the dataset page: https://huggingface.co/datasets/abdohisham12/orbital-mechanics-instruct-32.ORBIT-AstroOrbita-top.99orbit-wars-value-v2anchor-actionsorbit_wars_ilorbit-wars-value-v2anchorspectrum-orbital-reentry-tape
Spectrum Orbital Reentry Tape
SHA-256-chained telemetry from a Stardust-class atmospheric reentry. Each line is one sealed state of a deterministic integration. Chain integrity is checked by recomputing every digest from the genesis frame to the tip.
Rows
2,466
Format
JSONL, one sealed frame per line
Integrator
Explicit Euler, 1000 Hz (dt = 0.001 s)
Tape cadence
0.1 s of simulation time, plus the terminal step
Duration
0 s to 246.45 s
File… See the full description on the dataset page: https://huggingface.co/datasets/spiderpilot89/spectrum-orbital-reentry-tape.