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: 217
duration: 52m
recorded: 2026-08-04

run iddclm-nano-curation__nfvFpyv

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

download JSON ↗

codexgpt-5.6-sol227 turns10 narration217 reasoning217 action217 observation1 final

#226

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:15590,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(JSON.stringify(r));\n"
}

exec result

Script completed
Wall time 0.0 seconds
Output:
{"chunk_id":"6e16f4","wall_time_seconds":0.000002884,"exit_code":0,"original_token_count":38,"output":"HELDOUT_PPL 323.395  loss 5.7789  train_s 53  /tmp/dev_train.npy\n(dev PPL on multi_dev; official uses a hidden disjoint sample of the same HQ domain)\n"}

#227

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.update_plan({explanation:\"Final artifacts were regenerated from the reproducible criterion and validated with the frozen packer/trainer.\",plan:[\n  {step:\"Profile corpus, dev target, token budget, and available compute\",status:\"completed\"},\n  {step:\"Design and implement reproducible document scoring and priority ordering\",status:\"completed\"},\n  {step:\"Run candidate selection(s) through frozen training and compare dev perplexity\",status:\"completed\"},\n  {step:\"Finalize artifacts, validate constraints, and write claim.md\",status:\"completed\"}\n]});\ntext(JSON.stringify(r));\n"
}

exec result

Script completed
Wall time 0.0 seconds
Output:
{}

final summary

Completed and validated:

selection.json: 182,016 unique valid IDs; 12M cutoff reached after 12,443 documents.
curate.py: reproducible quality + Moore–Lewis ranking.
claim.md: required hypothesis and analysis.

Frozen-trainer dev perplexity: 323.395, versus 476.714 for random selection.