---
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("cosmostat/neurips-wl-challenge")
dset = dset.with_format('torch')

example = dset['train'][0]
```