Publish reviewed Stackcraft study and reproducible artifacts

LICENSE

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NOTICE

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+Stackcraft
+Copyright 2026 Stackcraft contributors.
+
+Stackcraft is an independent educational falling-block game and fine-tuning study.
+It is not affiliated with or endorsed by Tetris, Cloudflare, or the Qwen project.
+
+The optional trained model derives from Cloudflare/Clef-Flash (Apache-2.0),
+revision 17f0b0ad64efb65d273590632833508766b2aae6, which derives from
+Qwen/Qwen3.5-9B. Original backbone weights and native joint-schema implementation
+remain upstream dependencies; this repository does not redistribute the backbone.
+Stackcraft adds game-specific LoRA matrices and trains a separate native decision
+head. The trained head and LoRA weights must be loaded together.
+
+Upstream model: https://huggingface.co/Cloudflare/clef-flash
+Base architecture: https://huggingface.co/Qwen/Qwen3.5-9B
+Python package dependency licenses remain with their respective authors.

README.md

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+---
+license: apache-2.0
+language:
+- en
+tags:
+- synthetic
+- imitation-learning
+- games
+- stackcraft
+size_categories:
+- 1K<n<10K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: train.jsonl
+  - split: validation
+    path: validation.jsonl
+---
+
+# Stackcraft search-teacher positions
+
+A synthetic dataset for a deterministic, simplified falling-block placement game.
+**827 training positions and215 validation positions**, generated entirely by
+code. No human demonstrations, personal data, web scraping or human row-by-row
+label review are claimed. Independent agent review recomputed16 pilot labels;
+that sample audit is not a review of every row.
+
+Each row contains a visible board, current piece, one next piece, all legal actions,
+a teacher action, teacher action values and provenance. The board uses integer
+piece colors; the model encoding reduces them to occupancy because color does not
+affect these rules. Metadata includes seed and turn for reproduction; **do not
+feed seed or hidden sequence metadata to the policy**. Stackcraft's encoder feeds
+only the visible observation. Read the dataset schema and tutorial03 before use.
+
+Related releases: [source and tutorials](https://github.com/kkarimi/stackcraft),
+[model](https://huggingface.co/nima1/stackcraft-clef-flash-lora),
+[dataset](https://huggingface.co/datasets/nima1/stackcraft-data), and
+[playable CPU demo](https://huggingface.co/spaces/nima1/stackcraft).
+
+## Generation
+
+The teacher searches the current placement and exactly one preview placement.
+It rewards current line clears and the best next afterboard, using fixed weights
+for aggregate height, holes, bumpiness and cleared lines. No later pieces are
+available. Labels are heuristic recommendations, not proofs of optimal play.
+
+Collection cycles random, heuristic and search-expert policies, at a40-piece cap,
+to expose different board conditions. Training seeds10000–10023 and validation
+seeds20000–20005 are disjoint. Six within-training and two cross-split duplicate
+observations were excluded. Final test seeds30000–30199 are reserved for complete
+game evaluation; there is no test-position split for training or selection.
+
+Source commit: `70d84bd8dc5d4a60f3b96455a57d9e6f9416d109`.
+The bundle includes `manifest.json` with source/configuration and split hashes.
+
+- train SHA256: `edd682761db95a4f25bb30a284489c54d9336a36da0a9b19d2cda860b428baa8`
+- validation SHA256: `eff9cdc5932e935959ac4d26dce6470d335090f7428a91930001954266d133bc`
+
+The model release includes public source under `code/` and the exact regeneration
+recipe in `code/docs/tutorials/03-data.md`. Use its **Reproduce from the public
+source bundle without private Git access** procedure: first verify all six generator
+source hashes against this dataset's `manifest.json`, then generate with the
+original source-commit provenance. Access to the original Git repository is not
+required. The procedure reproduced both JSONL hashes exactly on the study machine.
+Ordinary `stackcraft generate-data --output NEWDIR` records the current source
+identity; a new source commit deliberately changes provenance fields and therefore
+file hashes even if labels are identical. A regeneration and an independent
+sample-label audit preceded study training.
+
+## Limits
+
+The study is small and entirely synthetic. Teacher bias, narrow collection seeds,
+short collection episodes and one-step preview limit generalization. Duplicate
+removal prevents exact overlap, not all structural similarity. It is not full
+real-time Tetris: no hold, kicks, tucks or gravity timing. Colors and piece IDs
+are program-generated; Stackcraft uses original game visuals and branding.
+
+Use teacher agreement as a diagnostic and complete held-out games for outcome
+measurement. Do not call a model better solely because it copies these labels.
+Apache-2.0; see LICENSE and accompanying generation/reproduction tutorials.

manifest.json

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