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---
dataset_info:
  features:
  - name: id
    dtype: int32
  - name: seismic
    dtype: image
  - name: label
    dtype: image
  splits:
  - name: train
    num_bytes: 803376000.0
    num_examples: 2000
  download_size: 803431131
  dataset_size: 803376000.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
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/porestart/seismic-datasets