metadata
language:
- en
tags:
- vision-language-action
- gaming-agent
- fps
- action-chunk
- event-driven-control
license: other
GamePlayer-1.4M
This is the frozen broad multi-game SFT mixture used in the EventChunk-FPS research lineage.
Contents
- Train: 1,351,283 conversation rows, 10,677,608 effective assistant turns.
- Validation: 73,980 conversation rows, 586,786 effective assistant turns.
- Total: 1,425,263 rows and 11,264,394 image/action supervision turns.
- 23,509 train and 1,359 validation trajectory groups, with zero reported train/validation trajectory overlap and zero missing image paths.
- Action horizons: 8, 12, 16, or 24 atomic actions.
The source data comes from OpenP2P, CrossFPS, CS2, Gaming500, and a small ViZDoom
success-anchor set we created. You can get the source video from these repo, cause we just provide the frames from codec. See sft_v16_scale100_mixture.manifest.json and validation.json under archives/metadata.tar for exact source and game counts.
Format
Rows use ShareGPT-style multi-turn conversations. images contains one RGB
path per decision; each assistant turn contains a strict action-chunk DSL:
<p>m=... h=... i=...</p>
<a>k=... x=... y=... l=... r=... m=...</a>
...
<eoc>