Fish-03/RuleMaze
RuleMaze Dataset RuleMaze is a dataset for studying rule-compliant visual spatial planning in Multimodal Large Language Models (MLLMs). Each task contains a visual maze together with natural-language rules. Models must understand the environment and rules and generate a valid multi-step trajectory. Dataset Content RuleMaze contains two types of visual environments: Regular: grid-based visual maze environments Quest: adventure-style environments with richer visual… See the full description on the dataset page: https://huggingface.co/datasets/Fish-03/RuleMaze.
| Author / organization | Fish-03 |
|---|---|
| Downloads | 1.6K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 29 July 2026 |
| Last updated at source | 21 August 2026 |
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 Information may be incomplete or out of date.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.