license: apache-2.0
tags:
- minecraft
- rlcd
- decision-making
- fine-tuning-data
Minecraft System-1 decision logs — Laya fine-tuning corpora
Decision ticks recorded by a Minecraft agent whose System-1 brain is Laya. Each line is one tick of the agent loop (perceive → decide → execute → verify): a compact English narrative of the world state, the typed questions asked of the model, and the label the verifier accepted.
Reward semantics: only ticks whose action demonstrably made progress become positive examples (pure imitation with --include-failed is possible in the builder). Ping-pong ticks (six or more ticks repeating one label with no item gained) teach no intent and are filtered out.
Schema (JSONL, one object per line)
{
"state": "You are a Minecraft player ... Inventory: 4x acacia_log ...",
"questions": {
"intent": {"type": "choice", "instructions": "...", "criteria": {"craft_pickaxe": "...", "craft_table": "..."}},
"in_danger": {"type": "choice", "instructions": "...", "criteria": {"no": "...", "yes": "..."}}
},
"expected": {"intent": "craft_pickaxe", "in_danger": "no"}
}
Files
| File | Items | What it is |
|---|---|---|
train.jsonl |
4,631 | Main corpus (runs up to Oct 2026) |
eval.jsonl |
12 | Small held-out eval |
ood-eval.jsonl |
33 | Out-of-distribution eval (endgame states the base model has never seen) |
run6.jsonl, run6-eval.jsonl, run6-preview.jsonl |
56 / 18 / 56 | Earliest smoke dataset (run 6) |
run79-86-train.jsonl, run79-86-eval.jsonl |
512 / 171 | M3 second round (runs 79–86) |
train-187-194.jsonl, eval-187-194.jsonl |
609 / 203 | Runs 187–194 |
train-187-205.jsonl, eval-206-208.jsonl |
1,509 / 219 | Runs 187–205 (basis of the 2026-11-07 checkpoint) |
relative-train.jsonl, relative-eval.jsonl |
849 / 283 | Relative-narrative experiment (M5) |
train-smoke.jsonl, train-test.jsonl |
38 / 116 | Smoke/test sets for the training pipeline |
How the data was built
Run logs (decisions.jsonl per run) are turned into these corpora with the agent's dataset builder:
.venv/bin/python -m mlaya.cli dataset --log runs/history/decisions-run79.jsonl \
--log runs/history/decisions-run80.jsonl --out train.jsonl --eval eval.jsonl
Agent code: github.com/thtesche/minecraft-laya-training · Fine-tuned weights: thtesche/laya-minecraft-english