Sign inGet started
Dataset · Hugging Face

ikhlasulakmalh/sci-rho

Sci-ρ: A Multilingual Visually-Grounded Symbolic Benchmark for STEM Problems Paper | Project Page | Code | Model outputs Sci-ρ (Science Rhobustness) is a dynamic benchmark for visually-grounded STEM problems spanning five subjects and seven languages, comprising 4,242 problem templates (606 per language) crafted by domain experts, including Olympiad medalists. Each template is implemented as executable Python code that generates diverse but equivalent problem instances by… See the full description on the dataset page: https://huggingface.co/datasets/ikhlasulakmalh/sci-rho.

Author / organizationikhlasulakmalh
License (as declared)cc-by-4.0
Downloads0 (as reported by Hugging Face)
Likes0
Created26 October 2026
Last updated at source26 October 2026
stemmultilingualrobustnessbenchmarksymbolic
Embed this entry
<iframe src="https://silytics.si/embed/item/ff0bc76b-d5cc-4d38-9798-bd8007cbd8f6" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Connected in the knowledge graph

Explore this entry in the graph

Related papers

More from ikhlasulakmalh

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 26 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.