Datasets:
Tasks:
Image-to-Text
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
ArXiv:
Memory Shot for Long-Term Dialogue
Chunyi Peng1*, Haidong Xin1*, Xuanshuo Sheng1, Xin Dai1, Zhenghao Liu1†,
Shuo Wang2, Yukun Yan2, Zulong Chen3, Yu Gu1, Ge Yu1
1Northeastern University, 2Tsinghua University, 3Alibaba Group
Introduction
MemShot is an image-rendered memory representation for long-term dialogue modeling. It converts dialogue sessions into structured visual memory units, preserving turn order and meta-information while avoiding heavy textual memory construction.
For code, scripts, and usage details, please see the GitHub repository: NEUIR/MemShot.
Data
| Folder | Size | Description |
|---|---|---|
MemShot |
948 x 768 px | Split-session images. Each image contains at most 2 turn pairs. |
MemShot_full_session |
948 px wide, adaptive height | Full-session images rendered from LoCoMo sessions. |
Citation
If you use this dataset, please cite the original LoCoMo dataset and this repository.
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Paper for sxs-shuo/MemShot
Paper • 2606.28338 • Published • 2