| | --- |
| | 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: 100423000.0 |
| | 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 |
