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
- 273
- duration
- 60m
- recorded
- 2026-08-04
run iddclm-nano-curation__zzFhaz8
Everything gpt-5.6-sol did on this task, in order.
download JSON ↗encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "240",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 5.5 seconds
Output:
{"chunk_id":"9a9460","wall_time_seconds":30.001241653,"session_id":15268,"original_token_count":0}The final default script is now being rerun from scratch as a reproducibility check. The already-validated selection remains in place until the deterministic pass completes; I’ll compare hashes and then perform one final exact pack/JSON check.
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "let{output,...rest}=await tools.write_stdin({session_id:15268,chars:\"\",yield_time_ms:30000,max_output_tokens:2000});text(rest);text(output);"
}exec result
Script running with cell ID 241
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "241",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 0.0 seconds
Output:
{"chunk_id":"da3415","wall_time_seconds":12.12064064,"exit_code":0,"original_token_count":85}{"documents": 14831, "estimated_tokens": 15000512, "domain_tokens": [3751083, 3749887, 3749318, 3750224], "output": "/workspace/submission/selection.json"}
adf91f0c1b4a8b5564a60d3a639d8ee2115a1d22a0bef05cd740036f5bc9a77a submission/selection.json
adf91f0c1b4a8b5564a60d3a639d8ee2115a1d22a0bef05cd740036f5bc9a77a submission/selection.json
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Delete File: /tmp/before.sha\\n*** End Patch\";\ntext(await tools.apply_patch(patch));\n"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python pack_selection.py submission/selection.json /tmp/final_train.npy && python - <<'PY'\\nimport json,numpy as np\\ns=json.load(open('submission/selection.json')); a=np.load('/tmp/final_train.npy')\\nprint({'selection_ids':len(s),'unique_ids':len(set(s)),'packed_tokens':len(a),'dtype':str(a.dtype),'min_id':min(s),'max_id':max(s)})\\nassert len(s)==len(set(s)) and min(s)>=0 and max(s)<182016 and len(a)==12_000_000\\nPY\\npython -m py_compile submission/curate.py\\ncat .timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":3000});\ntext(r.output);"
}exec result
Script running with cell ID 243
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "243",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 14.9 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
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"ps -o pid,etime,cmd -C python; ls -lh /tmp/final_train.npy 2>/dev/null || true; cat .timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":1000});\ntext(r.output);"
}exec result
Script completed
Wall time 0.1 seconds
Output:
PID ELAPSED CMD
-rw-r--r-- 1 root root 23M Aug 4 02:03 /tmp/final_train.npy
2196
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport json,numpy as np\\ns=json.load(open('submission/selection.json')); a=np.load('/tmp/final_train.npy',mmap_mode='r')\\nprint({'selection_ids':len(s),'unique_ids':len(set(s)),'packed_tokens':len(a),'dtype':str(a.dtype),'min_id':min(s),'max_id':max(s)})\\nassert len(s)==len(set(s)) and min(s)>=0 and max(s)<182016 and len(a)==12_000_000\\nPY\\npython -m py_compile submission/curate.py\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000});\ntext(r.output);"
}exec result
Script completed
Wall time 0.3 seconds
Output:
{'selection_ids': 14831, 'unique_ids': 14831, 'packed_tokens': 12000000, 'dtype': 'uint16', 'min_id': 51, 'max_id': 182015}
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.update_plan({explanation:\"Selected candidate won the dev ablations, was reproduced byte-for-byte, and passed exact pack/validity checks.\",\"plan\":[{\"step\":\"Inspect corpus, environment, timer, and frozen training interface\",\"status\":\"completed\"},{\"step\":\"Develop reproducible quality and domain scoring\",\"status\":\"completed\"},{\"step\":\"Generate candidates and evaluate against dev perplexity\",\"status\":\"completed\"},{\"step\":\"Finalize selection, claim, and validate deliverables\",\"status\":\"completed\"}]});\ntext(r);"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{}Completed all deliverables:
- selection.json: 14,831 unique IDs; packs exactly 12M tokens.
- curate.py: deterministic, byte-for-byte reproducible selection.
- claim.md: hypothesis, mechanism, falsification, and transfer.
Final balanced selection achieved dev perplexity 313.591, outperforming tested quality-only and technical-heavy ablations.