Datasetpublic

gavinlaw/rl-run-archive-2026

RL run archive 2026 Archived raw run artifacts (rollout trajectories, rendered frames, policy and optimizer checkpoints, configs, logs) from simulation reinforcement-learning experiments, published for long-term preservation and reproducibility. Layout mirrors the verified backup trees they were copied from: tilde/20260915-102000/ and taurus/20260915-085631/: batched tar archives. Every archive carries a per-file SHA-256 manifest inside it; the batch inventories (9998.json.gz… See the full description on the dataset page: https://huggingface.co/datasets/gavinlaw/rl-run-archive-2026.

sourceHugging Facecc-by-4.0updated 2d agoView on Hugging Face

0likes6.6kdownloads

Dataset Card

RL run archive 2026

Archived raw run artifacts (rollout trajectories, rendered frames, policy and optimizer checkpoints, configs, logs) from simulation reinforcement-learning experiments, published for long-term preservation and reproducibility.

Layout mirrors the verified backup trees they were copied from:

—tilde/20260915-102000/ and taurus/20260915-085631/: batched tar archives. Every archive carries a per-file SHA-256 manifest inside it; the batch inventories (9998.json.gz, 000.json) list the original source paths.
—taurus/data1/<run>/: per-run backup roots with their own progress and receipt JSON files.
—mac/critic-hack-recovery-20260916/: incremental archives with sibling manifest JSON.

MANIFEST.jsonl at the root records, for each published file, its byte size, SHA-256 and the commit that added it. Machine-generated data; no curation or filtering was applied.