Rose-STL-Lab/Zephyrus
ZephyrusBench ZephyrusBench is a weather-science benchmark released with the paper Zephyrus: An Agentic Framework for Weather Science. It contains 2,230 question-answer pairs across 49 tasks spanning geospatial reasoning, temporal reasoning, forecasting, simulation, climatology, and scientific question answering. Accepted at the International Conference on Learning Representations, 2026. Paper and Resources Paper: arXiv Poster: ICLR 2026 Poster Code: Rose-STL-Lab/Zephyrus… See the full description on the dataset page: https://huggingface.co/datasets/Rose-STL-Lab/Zephyrus.
| Author / organization | Rose-STL-Lab |
|---|---|
| License (as declared) | mit |
| Downloads | 445 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 26 March 2026 |
| Last updated at source | 27 March 2026 |
Recent changes
- 16 Oct 2026 Description: ZephyrusBench ZephyrusBench is a weather-science benchmark released with the paper Zephyrus: An Agentic Framework for Weather Science. It contains 2,230 question-answer pairs across 49 tasks spanning geospatial reasoning, temporal reasoning → ZephyrusBench ZephyrusBench is a weather-science benchmark released with the paper Zephyrus: An Agentic Framework for Weather Science. It contains 2,230 question-answer pairs across 49 tasks spanning geospatial reasoning, temporal reasoning
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.