---
license: mit
task_categories:
- summarization
pretty_name: windset
---

# Dataset Card for WINDSET

WINDSET is the Weather Insights and Novel Data for Systematic Evaluation and Testing dataset.
WINDSET's goal is to provide a simple standard for evaluating the performance of Atmospheric and Earth Science AI over a range of tasks.

## Dataset Details
WINDSET contains data for 6 tasks:
- Nonlocal paramterization of gravity wave momentum flux
- Prediction of aviation turbulence
- Identifying weather analogs
- Generating natural language forecast reports
- Long-term precipitation forecasting
- Hurricane track and intensity prediction

### Dataset Description

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- **Curated by:** Rajat Shinde, Christopher E. Phillips, Sujit Roy, Ankur Kumar, Aman Gupta, Simon Pfreundschuh, Sheyenne Kirkland, Vishal Gaur, Amy Lin, Aditi Sheshadri, Valentine Anantharaj, Manil Maskey, and Rahul Ramachandran
- **Funded by [optional]:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
- **License:** MIT License

### Dataset Sources [optional]

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- **Repository:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]

## Uses

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### Direct Use

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### Out-of-Scope Use

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## Dataset Structure

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## Dataset Creation

### Curation Rationale

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### Source Data

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Various EO data sources.

#### Data Collection and Processing

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#### Who are the source data producers?

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### Annotations [optional]

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#### Annotation process

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#### Who are the annotators?

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#### Personal and Sensitive Information

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## Bias, Risks, and Limitations

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### Recommendations

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

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**BibTeX:**

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**APA:**

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## Glossary [optional]

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## More Information [optional]

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## Dataset Card Authors [optional]

Rajat Shinde, Christopher E. Phillips, Sujit Roy, Ankur Kumar, Aman Gupta, Simon Pfreundschuh

## Dataset Card Contact

Rajat Shinde - rajat.shinde@uah.edu
Sujit Roy - sujit.roy@nasa.gov