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scripts/sealed/finals_v5.json
6a6e572c392cdd508dc7af2be817f52ac7075ecf163ae3ddc6b8a32428f81b55
scripts/sealed/finals_v5_reused.json
55982f0da04b35140b494022768e64e4f0aa2115f7aff4084fbd2453265fa556
{ "seed": 20261107, "generator": "numpy default_rng", "n_resamples": 1000, "n_images": 4000, "interval": "percentile 2.5 and 97.5 (numpy linear)" }
{ "help": ">= +1.0 point and CI above 0", "harm": "<= -1.0 and CI below 0", "recovered_share": "change / (base clean acc - base set acc), loss >= 2.0" }
4,000
[ "clean", "gaussian_noise_s1", "gaussian_noise_s2", "gaussian_noise_s3", "gaussian_noise_s4", "gaussian_noise_s5", "contrast_s1", "contrast_s2", "contrast_s3", "contrast_s4", "contrast_s5", "defocus_blur_s5", "snow_s5", "shot_noise_s5", "impulse_noise_s5", "motion_blur_s5", "zoom_blur...
[ { "arch": "vit", "network": "llm_gaussian_noise", "set": "clean", "group": "clean", "severity": null, "delta_points": 0.125, "ci95": [ -0.1, 0.35000000000000003 ], "boot_sd": 0.11707007688945499, "label": "neutral", "fixed": 13, "broken": 8, "worst_cla...
[ { "arch": "vit", "condition": "gaussian_noise", "set": "clean", "group": "clean", "n": 4000, "llm_minus_ft_points": 0.7500000000000062, "ci95": null, "paired": false, "note": "point only: a counts-only earlier record has no per-image correctness" }, { "arch": "vit", "...
{ "vit llm_gaussian_noise": { "help_sets": [ "gaussian_noise_s1", "gaussian_noise_s2", "gaussian_noise_s3", "gaussian_noise_s4", "gaussian_noise_s5", "shot_noise_s5", "impulse_noise_s5", "frost_s5", "speckle_noise_s5" ], "harm_sets": [], "n_sets": ...
{ "equal": true, "differences": [] }

WeightCode: records and weights

Experiment records and trained weights that accompany the WeightCode code release (github.com/Gen-Verse/WeightCode). The code repository is small and holds no data. This dataset holds what a reader needs to audit the reported numbers and to rerun the learned programs.

Layout

Path What it holds
records/sessions/<id>/ Text records of 88 LLM sessions: task, prompts, tool calls, transcript, attempts, patches, final/ program and selection, audit and result files
records/sealed/ Numbers of record from the sealed reads: registry.jsonl, manifests/, results/ (per-entry metrics and hashes, no test pixels)
records/tables/ Reference-stream, sealed-read, T07 and mechanism tables copied from the run store
records/finals/ The frozen finals lists, finals_v1.json to finals_v6_secondary.json (also in the GitHub repo)
weights/instances/<id>/ The 23 networks and instance specifications that the finals lists refer to (model.npz, evidence.npz, model_spec.json, forward.py, task.json)
weights/session_finals/<id>/ Final parameter deltas and edited models of the 21 sessions that the finals lists refer to
MANIFEST.json Session origins, original directory of every instance, list of exclusions
SHA256SUMS Checksum of every file except this card
REDACTIONS.json The files in which two account identifiers were replaced, and what was replaced

Session ids and instance ids are the ones used in the finals lists. child_sha256 in a finals entry identifies the program that was evaluated.

Using it

This is not a drop-in experiment store. The code expects $WEIGHTCODE_RUNS/sessions/<id> and $WEIGHTCODE_PRIVATE/instances/<id>. To rebuild that layout, link records/sessions and weights/instances to those paths. Instances that were originally kept in other private subdirectories (for example scan_instances and e14_instances) are all under weights/instances here, and MANIFEST.json gives their original location.

from huggingface_hub import snapshot_download
snapshot_download("Boom5426/WeightCode", repo_type="dataset", local_dir="weightcode_data")

Verify a download with sha256sum -c SHA256SUMS from the dataset root.

Redaction

On 2026-11-10 two identifiers of the authors' compute accounts were replaced in the text records: a personal login name (now <redacted-account>) and a cluster project number (now <redacted-project>). REDACTIONS.json lists the files and the number of replacements in each. Nothing else in those files changed: every number, hash, program and weight is as recorded. A record that quotes the sha256 of one of these files quotes it as it was before the redaction, so that quote no longer matches. SHA256SUMS gives the hashes of the files as published here.

Not included

  • Fixed-reference and fine-tuning trajectories (.npy, about 48 GB). They are regenerated by the scripts in the code repository.
  • Qwen3 base weights, which are public from their original model pages.
  • Public datasets (CIFAR-10, CIFAR-10-C, ImageNet and others) and sealed test pixels. The code repository contains the build scripts.
  • Session working directories (private/, scratch/, cwd/) and arrays outside final/.

License

MIT, the same as the code.

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