Datasets:
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README.md
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num_bytes: 3478168408.588
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num_examples: 1081
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- name: valid
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num_bytes: 865534940
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num_examples: 269
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download_size: 1922023251
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dataset_size: 4343703348.587999
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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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num_bytes: 3478168408.588
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num_examples: 1081
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- name: valid
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num_bytes: 865534940
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num_examples: 269
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download_size: 1922023251
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dataset_size: 4343703348.587999
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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-to-image
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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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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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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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Additional information can be found at https://github.com/porestart/seismic-datasets
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