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Table · dataset · 2026

MINDSET

Listed in Hugging Face Datasets

MINDSET MINDSET is the pretraining dataset for MIND, a coordinate-only location encoder distilled from static location encoder teachers and annual AlphaEarth Foundations (AEF) embeddings.

Description

We release the embeddings at the 12.1M training coordinates. The dataset contains 12,099,072 land coordinates in WGS84.

Coordinates are dense around cities and not uniformly sampled over land. The files are in GeoParquet format and can be joined on point_id: file grain rows columns… See the full description on the dataset page: huggingface.co/datasets/taylor-geospatial/MINDSET.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
feature extraction · geospatial · tabular
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetstaylor-geospatial/MINDSET9 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:geospatialsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:feature-extractionsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0