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: 249
duration: 1h 9m
recorded: 2026-08-03

run iddclm-nano-curation__JXGjCVp

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

download JSON ↗

codexgpt-5.6-sol263 turns14 narration249 reasoning249 action249 observation1 final

#251

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport json,hashlib\\np='/workspace/submission/selection.json';q='/workspace/rel18_wiki50_dedup.json'\\nx=json.load(open(p));y=json.load(open(q))\\nprint('MATCH',x==y,'n',len(x),'unique',len(set(x)),'range',min(x),max(x))\\nprint('json_sha256',hashlib.sha256(open(p,'rb').read()).hexdigest())\\nPY\\npython -m py_compile /workspace/submission/curate.py\\ncat /workspace/.timer/remaining_secs\",workdir:\"/workspace\",yield_time_ms:10000,max_output_tokens:2000});\ntext(r.output);"
}

exec result

Script completed
Wall time 0.2 seconds
Output:
MATCH True n 30000 unique 30000 range 5 181997
json_sha256 0d799e913c175f678aff105a989ecfbf7c92665d37965d6dce9c414615671213
1775

#252

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"python /workspace/pack_selection.py /workspace/submission/selection.json /tmp/final.npy && python - <<'PY'\\nimport json,numpy as np,hashlib\\ns=json.load(open('/workspace/submission/selection.json'));a=np.load('/tmp/final.npy')\\nassert len(s)==len(set(s)) and all(isinstance(i,int) and 0<=i<182016 for i in s)\\nassert len(a)==12000000\\nprint('VALID ids=%d tokens=%d token_sha256=%s'%(len(s),len(a),hashlib.sha256(a.tobytes()).hexdigest()))\\nPY\",workdir:\"/workspace\",yield_time_ms:1000,max_output_tokens:3000});\ntext(JSON.stringify(r));"
}

exec result

Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"d52d50","wall_time_seconds":1.000994152,"session_id":94910,"original_token_count":0,"output":""}

#253

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:94910,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);"
}

exec result

Script running with cell ID 166
Wall time 11.0 seconds
Output:

#254

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "166",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}

wait result

Script completed
Wall time 0.0 seconds
Output:
Token indices sequence length is longer than the specified maximum sequence length for this model (5414 > 1024). Running this sequence through the model will result in indexing errors
packed 12000000 tokens from 30000 ids -> /tmp/final.npy
VALID ids=30000 tokens=12000000 token_sha256=7b3bb0ea64f93f6a47e5d5d9c0198dfb8cd0ec0dfa2425b2331635799ccddb35

#255

narration

The corrected clean-room run now matches the evaluated winning list exactly. Final validation shows 30,000 unique in-range IDs and exactly 12,000,000 packed GPT-2 tokens; I’m doing one last frozen-trainer run on that exact packed array to record the final dev result.

#256

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"python /workspace/train_nano.py --train_npy /tmp/final.npy --heldout_npy /workspace/data/multi_dev.npy --out_json /workspace/final_dev.json --max_iters 3000 --seed 1337\",workdir:\"/workspace\",yield_time_ms:1000,max_output_tokens:3000});\ntext(JSON.stringify(r));"
}

exec result

Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"ddea96","wall_time_seconds":1.001423341,"session_id":46186,"original_token_count":0,"output":""}

#257

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:46186,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);"
}

exec result

Script running with cell ID 168
Wall time 11.0 seconds
Output:

#258

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "168",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}

wait result

Script completed
Wall time 13.1 seconds
Output:

#259

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:46186,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);"
}

exec result

Script completed
Wall time 0.0 seconds
Output:
HELDOUT_PPL 317.346  loss 5.7600  train_s 54  /tmp/final.npy

#260

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const p = await tools.update_plan({explanation:\"The clean-room curator exactly reproduces the evaluated winner; syntax, ID validity, uniqueness, token coverage, and frozen-trainer performance are all verified.\",plan:[\n  {step:\"Inspect corpus, trainer, dev target, and time budget\",status:\"completed\"},\n  {step:\"Profile document quality/domain signals and design candidate rankings\",status:\"completed\"},\n  {step:\"Run controlled training evaluations and refine selection\",status:\"completed\"},\n  {step:\"Write reproducible curator and claim, then validate deliverables\",status:\"completed\"}\n]});\ntext(p);"
}

exec result

Script completed
Wall time 0.0 seconds
Output:
{}

#261

narration

Completed and validated:

selection.json: 30,000 unique, in-range IDs; fills exactly 12M tokens.
curate.py: reproducibly regenerates the evaluated selection.
claim.md: hypothesis, mechanism, falsification, and transfer.

Frozen-trainer dev perplexity: 317.346, versus 476.714 random baseline.

#262

narration

The deliverables were already finalized before the interruption. I’ll only recheck the authoritative timer and exact output paths/validity; I won’t rerun the expensive curation or training.

#263

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"cat /workspace/.timer/remaining_secs && python - <<'PY'\\nimport json, pathlib, py_compile\\nroot=pathlib.Path('/workspace')\\nsel=root/'submission/selection.json'\\ncur=root/'submission/curate.py'\\nclaim=root/'claim.md'\\nids=json.load(sel.open())\\npy_compile.compile(str(cur),doraise=True)\\nassert len(ids)==len(set(ids))\\nassert ids and all(type(i) is int and 0 <= i < 182016 for i in ids)\\nfor p in (sel,cur,claim):\\n assert p.is_file() and p.stat().st_size > 0\\nprint({'selection_ids':len(ids),'unique':len(set(ids)),'min':min(ids),'max':max(ids)})\\nprint(*(f'{p}: {p.stat().st_size} bytes' for p in (sel,cur,claim)),sep='\\\\n')\\nPY\\ncat /workspace/final_dev.json\",workdir:\"/workspace\",yield_time_ms:10000,max_output_tokens:3000});\ntext(r.output);"
}

exec result

Script completed
Wall time 0.2 seconds
Output:
1575
{'selection_ids': 30000, 'unique': 30000, 'min': 5, 'max': 181997}
/workspace/submission/selection.json: 212653 bytes
/workspace/submission/curate.py: 7385 bytes
/workspace/claim.md: 1754 bytes
{"train_npy": "/tmp/final.npy", "heldout_ppl": 317.34632471642, "mean_loss": 5.759993684517684, "max_iters": 3000, "seed": 1337, "train_s": 53.8}

final summary

All deliverables remain finalized and valid. Remaining time: 1,575 seconds. Frozen dev perplexity: 317.346.