Add V16 broad EventChunk-SFT dataset card
Browse files
README.md
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---
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language:
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- en
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tags:
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- vision-language-action
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- gaming-agent
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- fps
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- action-chunk
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- event-driven-control
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license: other
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---
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# GamePlayer V16 Broad EventChunk-SFT
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This is the frozen V16 broad multi-game SFT mixture used in the EventChunk-FPS
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research lineage. It is an archival training release, not the later V31
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causal unified-development set and not a claim of current benchmark results.
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## Contents
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- Train: 1,351,283 conversation rows, 10,677,608 effective assistant turns.
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- Validation: 73,980 conversation rows, 586,786 effective assistant turns.
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- Total: 1,425,263 rows and 11,264,394 image/action supervision turns.
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- 23,509 train and 1,359 validation trajectory groups, with zero reported
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train/validation trajectory overlap and zero missing image paths.
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- Action horizons: 8, 12, 16, or 24 atomic actions. The environment is
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intended to pause during generation and each chunk executes once.
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The data comes from OpenP2P, CrossFPS, CS2, Gaming500, and a small ViZDoom
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success-anchor set. The mix is intentionally broad but imbalanced: most rows
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come from OpenP2P. See `sft_v16_scale100_mixture.manifest.json` and
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`validation.json` for exact source and game counts.
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## Layout
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The JSONL files are under:
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```text
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game/research/formal/artifacts/v16_scales/sft_v16_scale100_mixture/
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```
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Their image references are repository-relative paths rooted at
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`game/research/formal/`. Download this repository preserving its directory
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layout so the `images` values resolve without rewriting.
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## Format
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Rows use ShareGPT-style multi-turn conversations. `images` contains one RGB
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path per decision; each assistant turn contains a strict action-chunk DSL:
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```text
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<p>m=... h=... i=...</p>
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<a>k=... x=... y=... l=... r=... m=...</a>
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...
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<eoc>
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```
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## Provenance and Use
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This release contains gameplay media derived from multiple source datasets and
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video games. Downstream users must follow the terms of every source dataset
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and the applicable game publisher policies. In particular, this card does not
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grant ownership of game assets or waive third-party rights. Preserve upstream
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attribution when redistributing derived material.
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This historical V16 label contract predates the stricter V31 causal-data gate;
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it should not be mixed with V31 results or represented as a V31 training set.
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