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--- |
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dataset_info: |
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features: |
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- name: id |
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dtype: int32 |
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- name: seismic |
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dtype: image |
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- name: label |
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dtype: image |
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splits: |
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- name: train |
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num_bytes: 803376000.0 |
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num_examples: 2000 |
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download_size: 803431131 |
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dataset_size: 803376000.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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license: mit |
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task_categories: |
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- image-to-image |
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size_categories: |
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- 1K<n<10K |
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--- |
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This dataset is part of the work by Hanlin Sheng et al. https://github.com/shenghanlin/SeismicFoundationModel |
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Please cite the following article if you use this dataset: |
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@article{sheng2023seismic, |
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title={Seismic Foundation Model (SFM): a new generation deep learning model in geophysics}, |
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author={Sheng, Hanlin and Wu, Xinming and Si, Xu and Li, Jintao and Zhang, Sibio and Duan, Xudong}, |
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journal={arXiv preprint arXiv:2309.02791}, |
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year={2023} |
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} |
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Additional information can be found at https://github.com/LukasMosser/seismic-datasets |
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