metadata
license: cc-by-sa-4.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: legacysurvey_object_id
dtype: string
- name: astropt_15m_hsc
list: float32
- name: astropt_15m_legacysurvey
list: float32
- name: astropt_95m_hsc
list: float32
- name: astropt_95m_legacysurvey
list: float32
- name: astropt_850m_hsc
list: float32
- name: astropt_850m_legacysurvey
list: float32
- name: convnext_nano_hsc
list: float32
- name: convnext_nano_legacysurvey
list: float32
- name: convnext_tiny_hsc
list: float32
- name: convnext_tiny_legacysurvey
list: float32
- name: convnext_base_hsc
list: float32
- name: convnext_base_legacysurvey
list: float32
- name: convnext_large_hsc
list: float32
- name: convnext_large_legacysurvey
list: float32
- name: dino_small_hsc
list: float32
- name: dino_small_legacysurvey
list: float32
- name: dino_base_hsc
list: float32
- name: dino_base_legacysurvey
list: float32
- name: dino_large_hsc
list: float32
- name: dino_large_legacysurvey
list: float32
- name: dino_giant_hsc
list: float32
- name: dino_giant_legacysurvey
list: float32
- name: ijepa_huge_hsc
list: float32
- name: ijepa_huge_legacysurvey
list: float32
- name: ijepa_giant_hsc
list: float32
- name: ijepa_giant_legacysurvey
list: float32
- name: vit_base_hsc
list: float32
- name: vit_base_legacysurvey
list: float32
- name: vit_large_hsc
list: float32
- name: vit_large_legacysurvey
list: float32
- name: vit_huge_hsc
list: float32
- name: vit_huge_legacysurvey
list: float32
splits:
- name: train
num_bytes: 13556703431
num_examples: 101725
download_size: 15771223711
dataset_size: 13556703431
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]