metadata
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')