djmango/openfront-replays
OpenFront.io RL game replays Sparse-turn GameRecord v0.0.2 JSON for every finished RL episode (training, watch, showcase). Same format as the OpenFront client archive / Node bridge (version, gitCommit, sparse turns with intents). Each parquet row is one game. The record_json column is the full Node- compatible GameRecord string (~100–200 KB for long games). When a watch / showcase episode recorded policy decisions, thinking_json holds a compact top-3 action trace (typically a… See the full description on the dataset page: https://huggingface.co/datasets/djmango/openfront-replays.
OpenFront.io RL game replays
Sparse-turn GameRecord v0.0.2 JSON for every finished RL episode (training, watch, showcase). Same format as the OpenFront client archive / Node bridge (version, gitCommit, sparse turns with intents).
Each parquet row is one game. The record_json column is the full Node- compatible GameRecord string (~100–200 KB for long games). When a watch / showcase episode recorded policy decisions, thinking_json holds a compact top-3 action trace (typically a few KB) derived from the MODEL overlay .debug.json sidecar. Metadata columns capture policy / engine / stage.
Generated by djmango/openfront-ai. Replay with datagen/replay.ts or the client archive API / ofshowcase archive.