nano-gpt-data-curation

gpt-5.6-sol

nano-gpt-data-curation — graded by the task's verifier against a measured baseline.

backend: modal
variant: codex azure_ai/gpt-5.6-sol
metric: held-out multi-domain perplexity
actions: 210
duration: 1h
recorded: 2026-08-04

run iddclm-nano-curation__z2rZFLJ

Everything gpt-5.6-sol did on this task, in order.

download JSON ↗

codexgpt-5.6-sol232 turns22 narration210 reasoning210 action210 observation1 final

#226

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "135",
  "yield_time_ms": 30000,
  "max_tokens": 4000
}

wait result

Script completed
Wall time 15.4 seconds
Output:
{"session_id":91434,"wall":30.001473222}

#227

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:91434,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output); text(JSON.stringify({session_id:r.session_id,exit_code:r.exit_code,wall:r.wall_time_seconds}));\n"
}

exec result

Script completed
Wall time 0.9 seconds
Output:
HELDOUT_PPL 318.836  loss 5.7647  train_s 54  /tmp/dev_train.npy
(dev PPL on multi_dev; official uses a hidden disjoint sample of the same HQ domain)
{"exit_code":0,"wall":0.811877856}

#228

narration

The final sensitivity check also supports the crawl-stratum prior: removing it regressed to 330.74, while making it too strong regressed to 318.84; the implemented soft gap remains best at 315.73. The submission files remain unchanged and fully validated.

#229

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.update_plan({explanation:\"Final criterion regenerated the evaluated best candidate exactly; all deliverables and token/ID constraints validated.\",plan:[\n{step:\"Inspect timer, corpus schema/statistics, tokenizer, and frozen training behavior\",status:\"completed\"},\n{step:\"Develop document quality/domain/diversity scoring and generate candidate rankings\",status:\"completed\"},\n{step:\"Evaluate candidates on the disclosed dev target and refine\",status:\"completed\"},\n{step:\"Produce final selection, reproducible curate.py, claim.md, and validate deliverables\",status:\"completed\"}]}); text(r);\nconst e=await tools.exec_command({cmd:\"python - <<'PY'\\nimport json,hashlib\\ns=json.load(open('submission/selection.json'))\\nprint(len(s),len(set(s)),min(s),max(s))\\nfor p in ['submission/selection.json','submission/curate.py','claim.md']:\\n print(hashlib.sha256(open(p,'rb').read()).hexdigest(),p)\\nPY\\ncat .timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":2000});text(e.output);\n"
}

exec result

Script completed
Wall time 0.3 seconds
Output:
{}45987 45987 1 182015
63ed1e724d8018a95ba576d19eff94794a48b75da8a08eca5b3406a3c17e52cb submission/selection.json
6f9dc1edac318dede2078f22a3ea7d041b9bad0368f0bcf8319a07f82815c1dd submission/curate.py
3c7af9f81296f16ee9b4192ad98a246eada599d14c5040a15687c7610aad9651 claim.md
2078

#230

narration

Completed and validated:

selection.json: 45,987 unique valid IDs; packs exactly 12M tokens.
curate.py: reproducibly regenerates the selection from raw inputs.
claim.md: hypothesis, mechanism, falsification, and transfer.

Best frozen-pipeline dev perplexity: 315.729, versus 465.344 for the unbalanced quality-only candidate.

#231

narration

The task was already completed before the interruption. I’ll re-check the three exact deliverable paths and token validity without rerunning curation.

#232

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"cat .timer/remaining_secs && test -f /workspace/submission/selection.json && test -f /workspace/submission/curate.py && test -f /workspace/claim.md && python - <<'PY'\\nimport json, numpy as np\\ns=json.load(open('/workspace/submission/selection.json'))\\na=np.load('/tmp/final_train.npy')\\nassert len(s)==45987 and len(s)==len(set(s))\\nassert all(type(x) is int and 0 <= x < 182016 for x in s)\\nassert len(a)==12_000_000\\nprint('deliverables_ok ids=%d packed_tokens=%d' % (len(s),len(a)))\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000});text(r.output);\n"
}

exec result

Script completed
Wall time 0.6 seconds
Output:
2008
deliverables_ok ids=45987 packed_tokens=12000000

final summary

Deliverables remain complete and valid. The selection contains 45,987 unique IDs and packs exactly 12M tokens.