Update README.md

README.md

@@ -1,26 +1,45 @@
----
-license: mit
-dataset_info:
-  features:
-  - name: kappa
-    dtype:
-      array2_d:
-        shape:
-        - 1424
-        - 176
-        dtype: float16
-  - name: theta
-    list: float32
-    length: 5
-  splits:
-  - name: train
-    num_bytes: 13108164608
-    num_examples: 25856
-  download_size: 6934677515
-  dataset_size: 13108164608
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
----
+---
+license: mit
+dataset_info:
+  features:
+  - name: kappa
+    dtype:
+      array2_d:
+        shape:
+        - 1424
+        - 176
+        dtype: float16
+  - name: theta
+    list: float32
+    length: 5
+  splits:
+  - name: train
+    num_bytes: 13108164608
+    num_examples: 25856
+  download_size: 6934677515
+  dataset_size: 13108164608
+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/
+
+No further processing has been applied to it, it is purely intended to simplify access to the challenge. 
+
+To get started:
+
+```python
+import datasets
+
+dset = datasets.load_dataset("eiffl/neurips-wl-challenge")
+dset = dset.with_format('jax')
+
+example = dset['train'][0]
+```
+