Rose-STL-Lab/ClimaQA
ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models (ICLR 2025) Check the paper's webpage and GitHub for more info! The ClimaQA benchmark is designed to evaluate Large Language Models (LLMs) on climate science question-answering tasks by ensuring scientific rigor and complexity. It is built from graduate-level climate science textbooks, which provide a reliable foundation for generating questions with precise terminology and complex scientific… See the full description on the dataset page: https://huggingface.co/datasets/Rose-STL-Lab/ClimaQA.
| Author / organization | Rose-STL-Lab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 246 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 10 February 2025 |
| Last updated at source | 17 March 2025 |
Recent changes
- 16 Oct 2026 Description: ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models (ICLR 2025) Check the paper's webpage and GitHub for more info! The ClimaQA benchmark is designed to evaluate Large Language Models (LLMs) on climate science q → ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models (ICLR 2025) Check the paper's webpage and GitHub for more info! The ClimaQA benchmark is designed to evaluate Large Language Models (LLMs) on climate science q
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