datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CZAI_Summer_School-MLDE_landscapes
CZAI Summer School 2026 — MLDE / BOES landscape data
Precomputed data backing the BOES (Bayesian Optimization in Embedding Space)
directed-evolution demo notebook for the CZAI Summer School 2026 lecture
"AI pro enzymy". See the notebook
CZAI_Summer_School-MLDE_BOES.ipynb
for how this data is used.
This repo hosts, for three combinatorial 4-site protein fitness landscapes
(GB1, PhoQ, TrpB):
*_fitness_full.csv — the full variant,fitness table, always exactly
160,000 rows — the… See the full description on the dataset page: https://huggingface.co/datasets/soldatmat/CZAI_Summer_School-MLDE_landscapes.openbrush-landscapes
OpenBrush Landscapes
Every landscape painting from OpenBrush-75K — across all artists, movements, and centuries. Largest single-genre subset.
Curated subset of jaddai/openbrush. Same CC0 license, same caption schema, same VLM (Qwen3-VL-30B-A3B). This subset exists so you don't have to download 75,313 images to get to the 12,612 you actually want.
Why this subset
Every landscape across the parent dataset's full range — Romantic wildernesses, Impressionist… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openbrush-landscapes.openbrush-impressionist-landscapes
OpenBrush Impressionist Landscapes
Cross-cut subset: Impressionist landscape paintings from OpenBrush-75K. The most-targeted style+genre combination for Impressionist landscape LoRA training.
Curated subset of jaddai/openbrush. Same CC0 license, same caption schema, same VLM (Qwen3-VL-30B-A3B). This subset exists so you don't have to download 75,313 images to get to the 4,308 you actually want.
Why this subset
The intersection of the largest movement… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openbrush-impressionist-landscapes.merged_remote_landscapes_v1
Dataset Card for Merged Remote Landscapes dataset
Dataset summary
This is a merged version of following datasets:
torchgeo/ucmerced
NWPU-RESISC45
from datasets import load_dataset
dataset = load_dataset('EmbeddingStudio/merged_remote_landscapes_v1')
Categories
This is a union of categories from original datasets:
agricultural, airplane, airport, baseball diamond, basketball court, beach, bridge, buildings, chaparral, church, circular farmland, cloud… See the full description on the dataset page: https://huggingface.co/datasets/EmbeddingStudio/merged_remote_landscapes_v1.Stability_Landscapes
📚 Overview: Kuramoto-Stability-Landscape (KSL)
The dataset consists of synthetic oscillator network topologies created using a random growth algorithm. Dynamical simulations are conducted by applying the second-order Kuramoto model to the nodes. This model is widely recognized for its effectiveness in analyzing synchronization dynamics in complex systems such as power grids and neuronal networks.
Two ensembles are included, each containing 10,000 unique network topologies:… See the full description on the dataset page: https://huggingface.co/datasets/PIK-ICoNe-landscape/Stability_Landscapes.landscapeslandscapes02