Update README.md

README.md

@@ -10,11 +10,10 @@ tags:
 license: other
 ---
 
-# GamePlayer V16 Broad EventChunk-SFT
+# GamePlayer Broad EventChunk-SFT
 
-This is the frozen V16 broad multi-game SFT mixture used in the EventChunk-FPS
-research lineage.  It is an archival training release, not the later V31
-causal unified-development set and not a claim of current benchmark results.
+This is the frozen broad multi-game SFT mixture used in the EventChunk-FPS
+research lineage.
 
 ## Contents
 
@@ -26,26 +25,8 @@ causal unified-development set and not a claim of current benchmark results.
 - Action horizons: 8, 12, 16, or 24 atomic actions.  The environment is
   intended to pause during generation and each chunk executes once.
 
-The data comes from OpenP2P, CrossFPS, CS2, Gaming500, and a small ViZDoom
-success-anchor set.  The mix is intentionally broad but imbalanced: most rows
-come from OpenP2P.  See `sft_v16_scale100_mixture.manifest.json` and
-`validation.json` for exact source and game counts.
-
-## Layout
-
-The JSONL files are under:
-
-```text
-game/research/formal/artifacts/v16_scales/sft_v16_scale100_mixture/
-```
-
-Their image references are repository-relative paths rooted at
-`game/research/formal/`. The complete release is stored under `archives/` as
-uncompressed tar shards plus `SHA256SUMS`, avoiding millions of separate Hub
-objects. Verify the checksums and extract every shard from the directory where
-the dataset checkout lives, for example: `for f in archives/*.tar; do tar -xf
-"$f"; done`. This recreates the original directory layout so the `images`
-values resolve without rewriting.
+The source data comes from [OpenP2P](https://huggingface.co/elefantai/open-p2p), [CrossFPS](https://huggingface.co/datasets/zizhaotong/CrossFPS-train), [CS2](https://huggingface.co/datasets/RekaAI/CS2-10k), [Gaming500](https://huggingface.co/datasets/markov-ai/gaming-500-hours), 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
 
@@ -58,14 +39,3 @@ path per decision; each assistant turn contains a strict action-chunk DSL:
 ...
 <eoc>
 ```
-
-## Provenance and Use
-
-This release contains gameplay media derived from multiple source datasets and
-video games. Downstream users must follow the terms of every source dataset
-and the applicable game publisher policies. In particular, this card does not
-grant ownership of game assets or waive third-party rights. Preserve upstream
-attribution when redistributing derived material.
-
-This historical V16 label contract predates the stricter V31 causal-data gate;
-it should not be mixed with V31 results or represented as a V31 training set.