Datasets:

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')

Citation

Please cite FIX and CosmogridV1

@misc{jin2024fix,
    title={The FIX Benchmark: Extracting Features Interpretable to eXperts},
    author={Helen Jin and Shreya Havaldar and Chaehyeon Kim and Anton Xue and Weiqiu You and Helen Qu and Marco Gatti and Daniel A Hashimoto and Bhuvnesh Jain and Amin Madani and Masao Sako and Lyle Ungar and Eric Wong},
    year={2024},
    eprint={2409.13684},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}

@article{Kacprzak_2023,
   title={CosmoGridV1: a simulated 𝗐CDM theory prediction for map-level cosmological inference},
   volume={2023},
   ISSN={1475-7516},
   url={http://dx.doi.org/10.1088/1475-7516/2023/02/050},
   DOI={10.1088/1475-7516/2023/02/050},
   number={02},
   journal={Journal of Cosmology and Astroparticle Physics},
   publisher={IOP Publishing},
   author={Kacprzak, Tomasz and Fluri, Janis and Schneider, Aurel and Refregier, Alexandre and Stadel, Joachim},
   year={2023},
   month=feb, pages={050} }