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Download README.md from Misalignment-Empirics/theo_oct-matched-organism-results: direct link, hf CLI and curl.
- Browser
- Download file 1.27 kB
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https://huggingface.co/datasets/Misalignment-Empirics/theo_oct-matched-organism-results/resolve/main/README.md
- Command line
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hf download hf://datasets/Misalignment-Empirics/theo_oct-matched-organism-results/README.md
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curl -L -o README.md https://huggingface.co/datasets/Misalignment-Empirics/theo_oct-matched-organism-results/resolve/main/README.md
1.27 kB
MO_evals results
Raw per-sample results from MO_evals runs (private, CLAUDE.md §5). One directory per
upload; nothing here is aggregated — the Parquet and the .eval logs are the primary
evidence, the scorecard is a summary of them.
<upload>/ results tree, as uploaded
<persona>__<method>__scale<n>__<fam>/ one organism
<spec_hash>/ one seed of it
spec.json spec_hash -> persona, method, scale, seed, fake
seed<n>__<spec_hash>__<eval>.parquet one row per sample, raw_output populated
logs/ Inspect .eval logs (absent if --no-logs)
report/ rendered scorecard, when one was uploaded
view/ static Inspect log viewer, when one was bundled
config.yaml the exact config the run used, when uploaded
Uploaded by scripts/upload_results.py in the MO_evals repo, which is the source of
truth for how these were produced. Judge caveats (calibration status, fake-mode bans)
live in the run's config and scorecard, not here. Uploads made before 2026-08-27 nest the
tree one level deeper, under runs/<run-name>/results/.