mimic-shards-v2

Pre-built training shards for MIMIC — behavior-cloned Super Smash Bros. Melee bots. Derived from the raw ranked replays in erickfm/melee-ranked-replays; this repo is the cached tensor form so training pods never rebuild from .slp.

Layout

One folder per character (23 total: 22 roster characters + fox/). Each folder is directly usable as a MIMIC --data-dir:

<char>/
  train_shard_*.pt      # per-game v2 tensor shards
  val_shard_*.pt        # 10% held-out split (seed 42, split by file)
  tensor_manifest.json  # shard lists + game/frame counts
  mimic_norm.json, norm_stats.json, cat_maps.json,
  stick_clusters.json, controller_combos.json

Build provenance (2026-07-19)

• Master-rank filtered: per-port rank recovered from netplay.name; a game is kept iff every target-character port is Master (tools/filter_masterchar.py). Zelda, Pichu, and Kirby are absent — fewer than 300 master-rank games exist for them.
• v2 target alignment: target[i] = buttons[i+1] (train with --reaction-delay 0, no controller offset).
• Nearest-of-9 c-stick history (MIMIC commit fb7bb1a) — history, targets, and inference all share one encoding.
• Majority-vote character filter (commit 01eb974) — Sheik/Zelda transform-safe.
• 7-class buttons (A, B, Z, JUMP, TRIG, A_TRIG, NONE).
• fox/ uses the fox-master champion's norm files (md5-identical lineage); other characters use fresh per-character norms; hal37 stick clusters throughout. Fox: 97,490 train / 10,861 val perspectives (941.6M train frames) from 102,301 master games.

Usage

hf download erickfm/mimic-shards-v2 --repo-type dataset \
  --include "falco/*" --local-dir data/
python3 train.py --data-dir data/falco ... # see MIMIC repo for the recipe