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@@ -9,13 +9,13 @@ dataset_info:
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  dtype: image
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  splits:
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  - name: train
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- num_bytes: 120649829.0
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  num_examples: 115
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  - name: valid
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- num_bytes: 29375385.0
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  num_examples: 28
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  download_size: 149989771
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- dataset_size: 150025214.0
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  configs:
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  - config_name: default
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  data_files:
@@ -23,4 +23,25 @@ configs:
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  path: data/train-*
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  - split: valid
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  path: data/valid-*
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  dtype: image
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  splits:
11
  - name: train
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+ num_bytes: 120649829
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  num_examples: 115
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  - name: valid
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+ num_bytes: 29375385
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  num_examples: 28
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  download_size: 149989771
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+ dataset_size: 150025214
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  configs:
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  - config_name: default
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  data_files:
 
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  path: data/train-*
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  - split: valid
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  path: data/valid-*
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+ license: cc-by-4.0
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+ task_categories:
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+ - image-segmentation
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  ---
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+ This dataset is part of the work by Guo Zhixiang et al.https://github.com/ProgrammerZXG/Cross-Domain-Foundation-Model-Adaptation?tab=readme-ov-file
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+
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+ The dataset is originally available on Zenodo https://zenodo.org/records/12798750
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+ And licensed under Creative Commons Attribution 4.0 International
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+
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+ Please cite the following article if you use this dataset:
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+ @misc{guo2024crossdomainfoundationmodeladaptation,
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+ title={Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis},
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+ author={Zhixiang Guo and Xinming Wu and Luming Liang and Hanlin Sheng and Nuo Chen and Zhengfa Bi},
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+ year={2024},
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+ eprint={2408.12396},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2408.12396},
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+ }
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+
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+
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+ Additional information can be found at https://github.com/porestart/seismic-datasets