“Add usage instructions with SpecFormer–DINO example” (#2)

- “Add usage instructions with SpecFormer–DINO example” (c8cdc395c11a392588db605c891e3339fbaa76ae)


Co-authored-by: Shashwat Sourav <[email protected]>

README.md

@@ -1,67 +1,90 @@
----
-license: cc-by-sa-4.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-dataset_info:
-  features:
-  - name: astropt_15m_hsc
-    list: float32
-    length: 384
-  - name: astropt_95m_hsc
-    list: float32
-    length: 768
-  - name: astropt_850m_hsc
-    list: float32
-    length: 2048
-  - name: convnext_nano_hsc
-    list: float32
-    length: 640
-  - name: convnext_tiny_hsc
-    list: float32
-    length: 768
-  - name: convnext_base_hsc
-    list: float32
-    length: 1024
-  - name: convnext_large_hsc
-    list: float32
-    length: 1536
-  - name: dino_small_hsc
-    list: float32
-    length: 384
-  - name: dino_base_hsc
-    list: float32
-    length: 768
-  - name: dino_large_hsc
-    list: float32
-    length: 1024
-  - name: dino_giant_hsc
-    list: float32
-    length: 1536
-  - name: ijepa_huge_hsc
-    list: float32
-    length: 1280
-  - name: ijepa_giant_hsc
-    list: float32
-    length: 1408
-  - name: vit_base_hsc
-    list: float32
-    length: 768
-  - name: vit_large_hsc
-    list: float32
-    length: 1024
-  - name: vit_huge_hsc
-    list: float32
-    length: 1280
-  - name: specformer_base_desi
-    list: float64
-    length: 768
-  splits:
-  - name: train
-    num_bytes: 1487887360
-    num_examples: 20465
-  download_size: 1676612642
-  dataset_size: 1487887360
----
+---
+license: cc-by-sa-4.0
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+dataset_info:
+  features:
+  - name: astropt_15m_hsc
+    list: float32
+    length: 384
+  - name: astropt_95m_hsc
+    list: float32
+    length: 768
+  - name: astropt_850m_hsc
+    list: float32
+    length: 2048
+  - name: convnext_nano_hsc
+    list: float32
+    length: 640
+  - name: convnext_tiny_hsc
+    list: float32
+    length: 768
+  - name: convnext_base_hsc
+    list: float32
+    length: 1024
+  - name: convnext_large_hsc
+    list: float32
+    length: 1536
+  - name: dino_small_hsc
+    list: float32
+    length: 384
+  - name: dino_base_hsc
+    list: float32
+    length: 768
+  - name: dino_large_hsc
+    list: float32
+    length: 1024
+  - name: dino_giant_hsc
+    list: float32
+    length: 1536
+  - name: ijepa_huge_hsc
+    list: float32
+    length: 1280
+  - name: ijepa_giant_hsc
+    list: float32
+    length: 1408
+  - name: vit_base_hsc
+    list: float32
+    length: 768
+  - name: vit_large_hsc
+    list: float32
+    length: 1024
+  - name: vit_huge_hsc
+    list: float32
+    length: 1280
+  - name: specformer_base_desi
+    list: float64
+    length: 768
+  splits:
+  - name: train
+    num_bytes: 1487887360
+    num_examples: 20465
+  download_size: 1676612642
+  dataset_size: 1487887360
+---
+
+# DESI–HSC Embeddings
+
+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).
+
+## Load in Python
+
+```python
+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:
+col_a = "specformer_base_desi"   # DESI spectra (SpecFormer)
+col_b = "dino_large_hsc"         # HSC images (DINOv2 Large)
+assert col_a in ds.column_names and col_b in ds.column_names
+
+
+```