---
license: cc-by-4.0
pretty_name: WorldCast evaluation data
source_datasets:
  - blanchon/opencs2_dataset
tags:
  - world-model
  - video-generation
  - multiplayer
  - counter-strike
  - evaluation
---

# WorldCast evaluation data

The data the evaluation of [WorldCast: Distributed Multiplayer World Models](https://ziyang-ye.github.io/WorldCast-Page/) reads,
as the paper's own files: the latents, labels and tick tables of its three evaluation sets. With the
[code](https://github.com/Ziyang-Ye/WorldCast) and the [weights](https://huggingface.co/ZiyangYe/WorldCast) they run the
paper's evaluations without downloading or encoding video, and the latents are the bytes the paper's runs read, so the
results are bit-exact on the paper's stack.

Every file is derived from the [OpenCS2 dataset](https://huggingface.co/datasets/blanchon/opencs2_dataset) by Julien
Blanchon, released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/), at revision
`8d7deddcd30c081fb197b75f58b4a0fba1117b9d`. This dataset is not affiliated with or endorsed by the author of OpenCS2,
by Valve or by HLTV. Counter-Strike 2 and its maps are Valve's; no game file is included.

## The sets

| set | index (in the code repository) | what |
|---|---|---|
| `validation` | `configs/data/validation_index.jsonl` | the 64 validation windows, 16 per map (`tools/evaluate.py`) |
| `windows` | `configs/eval/window_views.jsonl` | the 512 views of the 256 ten-second windows of Tables 1 and 2 |
| `rounds` | `configs/eval/round_index.jsonl` | the 96 clients of the 32 whole rounds of Table 3 |

All of them come from the 40 held-out matches (`configs/data/held_out_matches.txt`).

## Files

Everything is under `eval/`; `eval/manifest.json` lists every file with its size and sha256, and the windows of each
set.

| path | files | size | what |
|---|---:|---:|---|
| `latents/<media_id>.npz` | 658 | 2.0 GB | the windows of the latent cache the sets read: member `win_<start:06d>`, float16 `[1, 41, 48, 24, 42]` |
| `vislabels/<media_id>.npz` | 658 | 17.6 MB | GT visibility labels of each client and view |
| `obslabels/flashlabels/`, `obslabels/scopelabels/` | 658 + 658 | 7.9 MB | flash and scope labels |
| `opencs2/rounds/.../ticks.parquet` | 3,280 | 513 MB | the tick tables of every player of every round the sets touch |
| `media_index.jsonl` | 1 | 1.5 MB | the media index rows of those players |

In five rounds of the views the paper's media index has no row for one recorded player: the paper's generation runs
read that player as absent, and the entity criterion reads its tick table.

## What was changed

- **Latents:** the OpenCS2 videos, every second source frame (16 fps), resized bilinearly to 384 x 672, encoded with
  the VAE of [Wan2.2-TI2V-5B](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B) in bf16 and stored as float16. One window
  is 161 frames, 41 latent frames.
- **GT visibility labels:** computed by engine line-of-sight tests between the players of the recordings, against
  meshes exported from the game's map files. The meshes are not included.
- **Flash and scope labels:** computed from the recorded video and the tick tables.
- **Tick tables:** unchanged copies of OpenCS2's files.
- **Media index:** one row per recording, derived from OpenCS2's index and tick tables.

## Terms

The OpenCS2 dataset card states that its `.dem` source data is mirrored from HLTV, that downstream use is bound by the
original tournament terms, and that renders and metadata are released under CC BY 4.0. The same applies to this
derived data. Please credit OpenCS2 and WorldCast when you use it.

## Use

```bash
git clone https://github.com/Ziyang-Ye/WorldCast && cd WorldCast
python tools/download_eval_data.py --out-dir data/evaluation rounds    # and/or validation, windows
```

The tool fetches only the files of the sets it is given, checks every file against `eval/manifest.json` and writes
`data/evaluation/eval/<set>.yaml`, the data paths of the set for the code's `--config`. The repository's
[docs/reproduce.md](https://github.com/Ziyang-Ye/WorldCast/blob/main/docs/reproduce.md) runs Table 3 with it, and
[docs/training.md](https://github.com/Ziyang-Ye/WorldCast/blob/main/docs/training.md#evaluation) the validation
windows and the paper's metrics.

## Citation

```bibtex
@article{ye2026worldcast,
  title   = {WorldCast: Distributed Multiplayer World Models},
  author  = {Ye, Ziyang and Huang, Junchao and Zhang, Evelyn and Xie, Zhihao and Zhang, Ruicheng and Han, Boyao and Ban, Litao and Wang, Ziye and Hu, Xinting and Shi, Shaoshuai and Tian, Zhuotao and Jiang, Li},
  journal = {arXiv preprint arXiv:2610.12412},
  year    = {2026}
}
```

For OpenCS2, cite as its [dataset card](https://huggingface.co/datasets/blanchon/opencs2_dataset) asks.