olmoearth
olmoearth-paper-embeddings
OlmoEarth — Foundation-Model Embeddings for Paper Table 2
This dataset contains pre-extracted embeddings from 26 Earth-observation
foundation models evaluated on the 24 downstream tasks that make up
Table 2 of the OlmoEarth paper:
OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation
AI2, 2025. arXiv:2511.13655.
For every supported (model, task) pair we ran the model's encoder over the
task's train / validation / test splits with the paper-best… See the full description on the dataset page: https://huggingface.co/datasets/allenai/olmoearth-paper-embeddings.olmoearth_pretrain_datasetThis is the pre-training dataset for training the OlmoEarth pre-trained remote sensing foundation models.
Documentation is on GitHub at https://github.com/allenai/olmoearth_pretrain/blob/main/docs/Pretraining-Dataset.md
The dataset is released under CC BY 4.0. It includes data from the following sources:
Sentinel-2 L2A imagery from the European Space Agency, available under the Copernicus Sentinel Data and Service Legal Notice
Sentinel-1 GRD IW vv+vh imagery from the European Space Agency… See the full description on the dataset page: https://huggingface.co/datasets/allenai/olmoearth_pretrain_dataset.olmoearth_lcc
OlmoEarth Land Cover Change (LCC) Dataset
This dataset contains point-based annotations of land cover change, used to
train the OlmoEarth LCC model (https://olmoearth-lcc.allen.ai). The model
detects recent land cover change from Sentinel-2 time series: it inputs a Sentinel-2
image time series with 16 quarterly images (to establish a historical baseline) and 4
recent biweekly images (to detect changes soon after they occur) and predicts, per pixel,
whether a land cover change… See the full description on the dataset page: https://huggingface.co/datasets/allenai/olmoearth_lcc.power-plant-olmoearth-segmentation
OlmoEarth v1.2-ready power energy dataset
Derived cook 20260830T191500Z from pinned source 35da3d0549b16e15114ded1eb7df3f4a378e9b4f.
The branch uses no train/validation/test split. Every accepted row is tagged all.
Accepted imagery rows: 12453
Quality-unavailable rows: 1
Release mode: partial with documented quality-unavailable exclusions
Clearest-available quality fallbacks: 10
Sentinel-2 L2A: uint16 [12,1,128,128]
Band order: B02,B03,B04,B08,B05,B06,B07,B8A,B11,B12,B01,B09… See the full description on the dataset page: https://huggingface.co/datasets/sarkarghya/power-plant-olmoearth-segmentation.im3-datacenter-olmoearth-segmentation
OlmoEarth v1.2-ready datacenter energy dataset
Derived cook 20260830T191500Z from pinned source 1f3ee5f334dd53940d088a89db57aed62cc925d5.
The branch uses no train/validation/test split. Every accepted row is tagged all.
Accepted imagery rows: 1417
Quality-unavailable rows: 0
Release mode: partial with documented quality-unavailable exclusions
Clearest-available quality fallbacks: 1
Sentinel-2 L2A: uint16 [12,1,128,128]
Band order: B02,B03,B04,B08,B05,B06,B07,B8A,B11,B12,B01,B09… See the full description on the dataset page: https://huggingface.co/datasets/sarkarghya/im3-datacenter-olmoearth-segmentation.OlmoEarth-v1-Chesapeake-Bay-Nutrient-Loads
OlmoEarth-v1-Chesapeake-Bay-Nutrient-Loads
Annual and monthly water-quality loads (Total Nitrogen, Total Phosphorus, Suspended Sediment) at 121 USGS Nontidal Network monitoring stations across the Chesapeake Bay watershed (2014–2023). Built for use with OlmoEarth-v1-Base embeddings + classical regression, with optional fine-tuning support via quantile-binned classes.
14,166 monthly records · 1,208 annual records · 121 stations · 118 watershed polygons · 6 sub-basins · 4… See the full description on the dataset page: https://huggingface.co/datasets/BAIGroup/OlmoEarth-v1-Chesapeake-Bay-Nutrient-Loads.