---
license: mit
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')
```