AstroMLab/Astrobench_MCQ_v1_Public
AstroMLab/Astrobench_MCQ_v1_Public Astrobench is a specialized benchmarking dataset for evaluating the performance of Large Language Models in astronomy and astrophysics knowledge recall. This dataset consists of multiple-choice questions derived from the Annual Review of Astronomy and Astrophysics, designed to test models' comprehension and knowledge of astronomical research. Example Usage Here's how to load and use the dataset: from datasets import load_dataset… See the full description on the dataset page: https://huggingface.co/datasets/AstroMLab/Astrobench_MCQ_v1_Public.
| Author / organization | AstroMLab |
|---|---|
| Downloads | 125 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 17 November 2024 |
| Last updated at source | 17 November 2024 |
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- 16 Oct 2026 Description: AstroMLab/Astrobench_MCQ_v1_Public Astrobench is a specialized benchmarking dataset for evaluating the performance of Large Language Models in astronomy and astrophysics knowledge recall. This dataset consists of multiple-choice questions d → AstroMLab/Astrobench_MCQ_v1_Public Astrobench is a specialized benchmarking dataset for evaluating the performance of Large Language Models in astronomy and astrophysics knowledge recall. This dataset consists of multiple-choice questions d
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