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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/
This repo contains a preprocessed train/validation split.
The original data has shape ncosmo, np, .... This dataset is splitted along the np dimension with a fraction of 0.8, and reordered as
ncosmo, np, ... -> np, ncosmo, ...
To get started:
import datasets
dset_train = datasets.load_dataset("b-remy/neurips-wl-challenge-split",split="train", streaming=True)
dset_val = datasets.load_dataset("b-remy/neurips-wl-challenge-split", split="validation", streaming=True)
dset_train = dset_train.with_format('torch')
dset_val = dset_val.with_format('torch')
example = dset_train['train'][0]
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