README.md

metadata

dataset_info:
  features:
    - name: id
      dtype: int32
    - name: seismic
      dtype: image
  splits:
    - name: train
      num_bytes: 702961000.5
      num_examples: 3500
    - name: validation
      num_bytes: 100423000
      num_examples: 500
  download_size: 783971308
  dataset_size: 803384000.5
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
license: mit
task_categories:
  - image-to-image
size_categories:
  - 1K<n<10K

This dataset is part of the work by Hanlin Sheng et al. https://github.com/shenghanlin/SeismicFoundationModel

Please cite the following article if you use this dataset: @article{sheng2023seismic, title={Seismic Foundation Model (SFM): a new generation deep learning model in geophysics}, author={Sheng, Hanlin and Wu, Xinming and Si, Xu and Li, Jintao and Zhang, Sibio and Duan, Xudong}, journal={arXiv preprint arXiv:2309.02791}, year={2023} }

Additional information can be found at https://github.com/LukasMosser/seismic-datasets