gala
Datasets
All datasets matching “gala”Galaxea-Open-World-Dataset
Galaxea Open-World Dataset
Key Features
500+ hours of real-world mobile manipulation data.
All data collected using one uniform robotic embodiment (R1-Lite) for consistency.
Fine-grained subtask language annotations (bilingual Chinese/English).
Covers residential, kitchen, retail, and officesettings.
Dataset in LeRobot v2.1 format.
Dataset Structure
The dataset is organized as 227 task-level tar.gz archives under the lerobot/ directory. Each… See the full description on the dataset page: https://huggingface.co/datasets/OpenGalaxea/Galaxea-Open-World-Dataset.Galaxea-Open-World-Dataset-LeRobot-v3.0Galaxea Open-World Dataset taken from OpenGalaxea/Galaxea-Open-World-Dataset,
converted to LeRobot Datasets v3.0 format using lerobot.datasets.v30.convert_dataset_v21_to_v30.
Missing subsets
The subset Boil_The_Water_20250714_006 is missing due to the original files having some episodes at 62 fps,
which causes the conversion script to crash with an error.
The subset Put_The_Items_Into_The_Storage_Box_20250929_002_007 is missing due to it having 7 DoF arms rather than 6 DoF.… See the full description on the dataset page: https://huggingface.co/datasets/griffinlabs/Galaxea-Open-World-Dataset-LeRobot-v3.0.insectarium_galagalaxies
Galaxies for training astroPT
Here we have ~8.5 million galaxy cutouts from the DESI legacy survey DR8.
The cut outs are 512x512 pixel jpg images centred on the galaxy source.
I've split away 1% of the images into a test set, and 1% into a validation set.
The remaining 98% of the images comprise the training set.
Metadata (galaxy properties)
There is also accompanying metadata!
To combine the metadata with the galaxy images you can do (for example):
from datasets import… See the full description on the dataset page: https://huggingface.co/datasets/Smith42/galaxies.GalaKara
GalaKara
Dude. It's NOT the game Karakara but a dataset called “GalaKara”.
It's a simulated stock prices and quotes dataset.
An example of assets simulated is listed in the csv file.
nyush-galaxea-a1-lingbot-va-real-world-evaluations
LingBot-VA on Galaxea A1 — Real-World Evaluations
Fruit-placement rollouts and open-loop diagnostics of object grounding,
layout generalization, and predicted robot motion.
Fruit step-1000: lemon-to-plate rollout in the Official layout.
Evidence
Scale
Real closed-loop rollouts
61 archived; 60 scored
Matched base-model controls
9 predictions
Post-trained diagnostics
48 full-horizon predictions; 1,211 rolling futures
Controlled OOD studies
558 predictions… See the full description on the dataset page: https://huggingface.co/datasets/pengyue-polaron/nyush-galaxea-a1-lingbot-va-real-world-evaluations.