Sign inGet started
Dataset ยท Hugging Face

Mars654321/Mem-Gallery

๐Ÿ“– Overview Mem-Gallery is a comprehensive benchmark dataset designed to evaluate multimodal long-term memory capabilities of MLLM agents across multi-session conversations. The dataset features realistic, persona-driven dialogues spanning 20 scenarios, each enriched with contextual images to test memory retention, recall, and reasoning over extended interactions. ๐ŸŽฏ Key Features Diverse Scenarios: Covering topics from AI & Robotics to Dailyโ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/Mars654321/Mem-Gallery.

Author / organizationMars654321
License (as declared)mit
Downloads221 (as reported by Hugging Face)
Likes0
Created21 August 2026
Last updated at source21 August 2026
Agent MemoryMLLM AgentMultimodal MemoryLong-term MemoryMulti-Session Conversation
Embed this entry
<iframe src="https://silytics.si/embed/item/bb1518b2-058b-47f2-82f0-72fc0fdb0123" 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 Information may be incomplete or out of date.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.