Update README.md

README.md

@@ -1,3 +1,52 @@
----
-license: mit
----
+---
+license: mit
+dataset_info:
+  features:
+  - name: kappa
+    dtype:
+      array3_d:
+        shape:
+        - 101
+        - 1424
+        - 176
+        dtype: float16
+  - name: theta
+    dtype:
+      array2_d:
+        shape:
+        - 101
+        - 5
+        dtype: float32
+  splits:
+  - name: train
+    num_bytes: 13108270080
+    num_examples: 256
+  download_size: 6934979115
+  dataset_size: 13108270080
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+---
+
+# FAIR Universe - NeurIPS 2025 Weak Lensing Uncertainty Challenge
+This dataset is a HF mirror of the official challenge training data for this challenge:
+
+https://www.codabench.org/competitions/8934/
+
+To ease the split along the nuisance parameter axis, the dataset challenge has been reordered as
+```
+ncosmo, np, ... -> np, ncosmo, ... 
+```
+
+To get started:
+
+```python
+import datasets
+
+dset = datasets.load_dataset("b-remy/neurips-wl-challenge")
+dset = dset.with_format('torch')
+
+example = dset['train'][0]
+```