Ethan-Bei/Mem-Gallery
๐ 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. ๐ฏ Key Features Diverse Scenarios: Covering topics from AI & Robotics to Dailyโฆ See the full description on the dataset page: https://huggingface.co/datasets/Ethan-Bei/Mem-Gallery.
| Author / organization | Ethan-Bei |
|---|---|
| License (as declared) | mit |
| Downloads | 2.5K (as reported by Hugging Face) |
| Likes | 5 |
| Created | 7 January 2026 |
| Last updated at source | 8 January 2026 |
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- 16 Oct 2026 Description: ๐ 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 โ ๐ 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
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