Sign inGet started
Dataset · Hugging Face

Soptq/sfe

Scientists' First Exam Scientific discoveries are driven by complex multimodal reasoning based on information-intensive scientific data and domain-specific expertise. With supervision from expert-level scientific benchmarks, scientific multimodal Large Language Models (MLLMs) could significantly enhance this discovery process in realistic workflows. However, current scientific benchmarks current scientific benchmarks inadequately assess MLLMs’ perception, understanding, and… See the full description on the dataset page: https://huggingface.co/datasets/Soptq/sfe.

Author / organizationSoptq
License (as declared)apache-2.0
Downloads293 (as reported by Hugging Face)
Likes0
Created11 May 2025
Last updated at source16 May 2025
chemistrybiologyastronomyearthmaterialbenchmark
Embed this entry
<iframe src="https://silytics.si/embed/item/70f20e77-7a83-4d47-8ca6-02148e62411b" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

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 Information may be incomplete or out of date.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.