This dataset contains precomputed embeddings for cross-survey sources (DESI ↔ HSC).Each row includes one object ID and multiple embedding vectors from different backbone models (e.g. DINO, ViT, AstroPT).
from datasets import load_dataset
import numpy as np
ds = load_dataset("UniverseTBD/desi_hsc_embeddings", split="train")
print("Columns:", ds.column_names)
Choose one HSC image embedding and the DESI spectral embedding:
