README.md

---
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.