Datasets:
pretty_name: CodeLeWM Public Code-Edit Shard
license: other
tags:
- code
- python
- world-model
- code-edit
- research-artifact
CodeLeWM Public Code-Edit Shard
This dataset repository hosts the public-safe CodeLeWM code-edit transition shards used by the scaled May 2026 CodeLeWM training runs. It is a diagnostic research artifact, not a benchmark leaderboard dataset and not a source of broad model-quality claims.
What Is Hosted Here
| Run family | Path pattern | Role |
|---|---|---|
| Scaled first public run | runs/codelewm-scaled-20260520-9699b53/pack/** |
scaled code-edit transition pack |
| Action-use margin run | runs/codelewm-action-use-20260520-6650183/pack/** |
action-use margin experiment data |
| Action-use retrieval run | runs/codelewm-action-use-retrieval-20260520-7895d18/pack/** |
margin plus retrieval follow-up data |
| v0.2 action-swap/inverse-action run | runs/codelewm-v0-2-action-swap-rerun-20260520-7c7cb0b/pack/** |
action-contrast remediation data |
Each pack includes manifest-backed metadata used by the CodeLeWM CLI. The
corresponding model checkpoints are in abdelstark/codelewm-transition-model,
and result reports are in abdelstark/codelewm-runs.
Dataset Information
The public shard represents Python code-edit transitions extracted for CodeLeWM. Records are designed for transition-model training and evaluation: before-state features, action/instruction views, after-state targets, split metadata, and manifest checksums. The dataset is used by the package-native training, retrieval, ablation, surprise, scorer-quality, and reranking diagnostics.
Candidate code and source data are treated as untrusted inputs. CodeLeWM parsing and scoring paths do not execute candidate patches by default.
Claim Boundary
The action-use experiments trained from these shards did not establish a positive action-conditioned model-quality claim. In the documented runs, no-action controls remained stronger on headline retrieval gates or later claim gates failed. Use this repository for reproducible negative and diagnostic evidence, not for claims of broad coding improvement.
Verification
Download one run pack and verify it locally:
hf download abdelstark/codelewm-public-shard \
--repo-type dataset \
--include 'runs/codelewm-v0-2-action-swap-rerun-20260520-7c7cb0b/pack/**' \
--local-dir .artifacts/hf-download/codelewm-public-shard
uv run codelewm manifest verify \
--manifest .artifacts/hf-download/codelewm-public-shard/runs/codelewm-v0-2-action-swap-rerun-20260520-7c7cb0b/pack/manifest.json \
--json
uv run codelewm secret-scan \
.artifacts/hf-download/codelewm-public-shard/runs/codelewm-v0-2-action-swap-rerun-20260520-7c7cb0b/pack \
--json
Expected result: manifest verification returns ok=true and the secret scan
returns ok=true with zero findings.
Related Repositories
- Model checkpoints:
https://huggingface.co/abdelstark/codelewm-transition-model - Current execution dataset:
https://huggingface.co/datasets/abdelstark/codelewm-execution-pack - Run artifacts:
https://huggingface.co/datasets/abdelstark/codelewm-runs - Code repository:
https://github.com/AbdelStark/CodeLeWM