b-remy/neurips-wl-challenge-split
收藏Hugging Face2025-10-14 更新2025-10-25 收录
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https://hf-mirror.com/datasets/b-remy/neurips-wl-challenge-split
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资源简介：
这是一个针对FAIR Universe - NeurIPS 2025 Weak Lensing Uncertainty Challenge挑战的官方训练数据的镜像。数据集已经预处理并分为训练集和验证集。数据集特征包括一个名为kappa的1424x176的二维浮点16类型数组和一个名为theta的长度为5的浮点32类型列表。训练集包含20604个示例，大小为10445568672字节，验证集包含5252个示例，大小为2662595936字节。
This is a mirror of the official training data for the FAIR Universe - NeurIPS 2025 Weak Lensing Uncertainty Challenge. The dataset has been preprocessed and split into training and validation sets. The dataset features include a 1424x176 2D array of float16 type named kappa and a list of float32 type named theta with a length of 5. The training set contains 20604 examples and is 10445568672 bytes in size, while the validation set contains 5252 examples and is 2662595936 bytes in size.
提供机构：
b-remy
