| license: cc-by-4.0 | |
| pretty_name: VMem-Bench | |
| viewer: false | |
| # VMem-Bench (dataset) | |
| Textual gold and SUT prompts for [VMem-Bench](https://github.com/Suchenl/VMem-Bench). **No source videos.** | |
| | Split | Contents | | |
| |---|---| | |
| | `trackA/` | Per-movie `gold/{entity_registry,chunk_annotations,chunk_index}.json` (Blender Open Movies + LSMDC titles) | | |
| | `trackB/` | 50 long-horizon stories: `gt`, `gt_source`, `sut_prompts` (zh/en) + `freeze_manifest.json` | | |
| - Code / scoring: https://github.com/Suchenl/VMem-Bench | |
| - Method: https://github.com/Suchenl/MemStrata | |
| - License of **these JSON files**: CC BY 4.0 (`LICENSE`) | |
| - LSMDC **videos**: apply at the [LSMDC download page](https://sites.google.com/site/describingmovies/download), stitch to `LSMDC_Videos_Stitched/<movie_id>.mp4`; cite Rohrbach et al., IJCV 2017. Full steps: [VMem-Bench `docs/DATA.md`](https://github.com/Suchenl/VMem-Bench/blob/main/docs/DATA.md) | |
| - Blender **videos**: official project pages / `scripts/prepare_blender.sh` for BBB; same `DATA.md` | |
| See `trackA/README.md` and `trackB/README.md` in this dataset for file schemas. | |
| ## Citation | |
| ```bibtex | |
| @article{chen2026memstrata, | |
| title={Stratifying and Benchmarking Long-Range Memory for Causal Long Video Generation}, | |
| author={Chen, Yuzhuo and Shi, Huafeng and Wang, Xinyu and Wang, Yucheng and Hong, Haoqin and Zhang, Guoxin and Ma, Zehua}, | |
| year={2026} | |
| } | |
| ``` | |
| When using LSMDC titles, also cite Rohrbach et al., IJCV 2017. | |