UniverseTBD/legacysurvey_hsc_embeddings
Legacy Survey ↔ HSC Embeddings (The Platonic Universe) Precomputed cross-survey embeddings for matched sources in Legacy Survey and HSC.Each row is one object with multiple backbone embeddings for both surveys (paired by suffixes _legacysurvey and _hsc). Examples of columns (see Viewer for full list): AstroPT: astropt_15m_hsc, astropt_15m_legacysurvey, astropt_95m_*, astropt_850m_* ConvNeXt: convnext_nano_*, convnext_tiny_*, convnext_base_*, convnext_large_* DINOv2:… See the full description on the dataset page: https://huggingface.co/datasets/UniverseTBD/legacysurvey_hsc_embeddings.
Legacy Survey ↔ HSC Embeddings (The Platonic Universe)
Precomputed cross-survey embeddings for matched sources in Legacy Survey and HSC. Each row is one object with multiple backbone embeddings for both surveys (paired by suffixes _legacysurvey and _hsc).
Examples of columns (see Viewer for full list):
- AstroPT:
astropt_15m_hsc,astropt_15m_legacysurvey,astropt_95m_*,astropt_850m_* - ConvNeXt:
convnext_nano_*,convnext_tiny_*,convnext_base_*,convnext_large_* - DINOv2:
dino_small_*,dino_base_*,dino_large_*,dino_giant_* - I-JEPA:
ijepa_huge_*,ijepa_giant_* - ViT:
vit_base_*,vit_large_*,vit_huge_* - Identifier:
legacysurvey_object_id
Load in Python
from datasets import load_dataset
import numpy as np
ds = load_dataset("UniverseTBD/legacysurvey_hsc_embeddings", split="train")
print("Columns:", ds.column_names[:10], "...")
row = ds[0]