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Tags:
	
	
	
	
	earth-science
	
	
	
	
	named-entity-recognition
	
	
	
	
	natural-language-processing
	
	
	
	
	agentic-ai
	
	
	
	
	multimodal
	
	
	
	
	scientific-workflows
	
	
	License:
	
	
	
	
	
	
	
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            license: cc-by-4.0
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            language:
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            - en
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            tags:
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              - earth-science
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              - named-entity-recognition
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              - natural-language-processing
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              - agentic-ai
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              - multimodal
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              - scientific-workflows
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            pretty_name: Open Earth Science (OES) via NLP Dataset
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            ---
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            ## Dataset Summary
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            **Toward Open Earth Science as Fast and Accessible as Natural Language**
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            This dataset was curated to accompany the EO-via-NLP [code](https://github.com/NASA-IMPACT/EO-via-NLP) and the following paper:
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            > Ellis, M., Gurung, I., Ramasubramanian, M., & Ramachandran, R. (2025).  
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            > *Toward Open Earth Science as Fast and Accessible as Natural Language*.  
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            > [arXiv:2505.15690](https://arxiv.org/abs/2505.15690)
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            ## Supported Tasks 
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            This dataset was primarily designed for:
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            - Named Entity Recognition (NER) in earth science contexts.
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            ## Languages
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            - English (`en`)
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            ## Intended Use
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            This dataset is intended for:
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            * Research in agentic AI systems for Earth science,
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            * Development of natural language interfaces for software and scientific workflows,
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            * Benchmarking multimodal and task-oriented models in geoscience contexts.
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            ## How to Use
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            See the EO-via-NLP [repository](https://github.com/NASA-IMPACT/EO-via-NLP).
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            To simply load it:
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            ```python
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            from datasets import load_dataset
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            dataset = load_dataset("nasa-impact/EO-via-NLP")
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            ```
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            ## Dataset Creation
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            This dataset was curated by the authors of the accompanying paper and EO-via-NLP codebase. All annotations and selections were created by humans.
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            ## License
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            This dataset is licensed under **Creative Commons Attribution 4.0 International (CC BY 4.0)**.
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            You are free to:
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            - **Share** — copy and redistribute the material in any medium or format  
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            - **Adapt** — remix, transform, and build upon the material for any purpose, even commercially  
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            **Attribution is required.** Please cite the following work when using this dataset:
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            ## Citation
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            ### BibTeX
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            ```bibtex
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            @article{ellis2025oes,
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              title={Toward Open Earth Science as Fast and Accessible as Natural Language},
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              author={Ellis, Marquita and Gurung, Iksha and Ramasubramanian, Muthukumaran and Ramachandran, Rahul},
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              journal={arXiv preprint arXiv:2505.15690},
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              year={2025},
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              month={May},
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              doi={10.48550/arXiv.2505.15690},
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              url={https://arxiv.org/abs/2505.15690}
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            }
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            ```
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            Please open an issue or discussion on the Hugging Face dataset page, or contact the authors via the corresponding author listed in the paper.
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            ## README Attribution
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            This README was drafted with assistance from Copilot, an AI system based on GPT-4, to ensure clarity, consistency, and alignment with Hugging Face dataset standards.
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