BrachioLab/massmaps-cosmogrid-100k

---
license: cc-by-4.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
dataset_info:
features:
- name: input
sequence:
sequence:
sequence: float32
- name: label
sequence: float64
splits:
- name: train
num_bytes: 1594440000
num_examples: 90000
- name: validation
num_bytes: 177160000
num_examples: 10000
- name: test
num_bytes: 177160000
num_examples: 10000
download_size: 1979104354
dataset_size: 1948760000
---

## Dataset Structure

This dataset contains clean simulated weak lensing maps without noise.

### Data Fields

- **input**: 4D tensor of shape (N, 1, 66, 66) containing weak lensing maps, N=number of examples.
- **label**: 2D array of shape (N, 2) containing the label for cosmological parameters $\Omega_m$ and $\sigma_8$ for each examples.

### Data Splits

- **train**: 90,000 examples
- **validation**: 10,000 examples
- **test**: 10,000 examples

## Usage
```
from datasets import load_dataset
dataset = load_dataset('BrachioLab/massmaps-cosmogrid-100k')
```

This dataset contains clean simulated weak lensing maps without noise. The data fields include a 4D tensor input (containing weak lensing maps) and a 2D array label (containing cosmological parameters for each example). The dataset is split into train, validation, and test sets, with 90,000, 10,000, and 10,000 examples respectively.

原始信息汇总

数据集概述

数据集信息

• 许可证: MIT
• 配置:
  • 默认配置:
    • 训练数据: data/train-*
    • 验证数据: data/validation-*
    • 测试数据: data/test-*
• 数据集大小:
  • 下载大小: 1979104354字节
  • 数据集大小: 1948760000字节

数据集特征

• input:
  • 类型: 4D张量
  • 形状: (N, 1, 66, 66)
  • 内容: 包含弱引力透镜地图，N为示例数量
• label:
  • 类型: 2D数组
  • 形状: (N, 2)
  • 内容: 包含每个示例的宇宙学参数$Omega_m$和$sigma_8$

数据分割

• 训练集: 90,000个示例
• 验证集: 10,000个示例
• 测试集: 10,000个示例