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 ↗encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "149",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 11.9 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:65026,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script running with cell ID 150
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "150",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 4.2 seconds
Output:
The reproducibility pass is now running from only pool.jsonl and multi_dev.npy—no cached scores or hand-authored IDs. After it finishes I’ll byte-compare its output with the evaluated winning candidate, pack it through the official helper, and check uniqueness, range, and token coverage.
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:65026,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 8.0 seconds
Output:
wrote 30000 unique ranked ids to /workspace/submission/selection.json
estimated domain token masses: [13337834, 4443941, 4446824, 4446643]
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const p = await tools.update_plan({explanation:\"Profiling, target-aware ranking, and controlled dev ablations are complete; the best reproducible candidate is frozen and entering final validation.\",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:\"in_progress\"}\n]});\nconst r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport json\\nx=json.load(open('/workspace/submission/selection.json'));y=json.load(open('/workspace/rel18_wiki50_dedup.json'))\\nprint('same evaluated candidate',x==y,'length',len(x),'unique',len(set(x)),'range',min(x),max(x))\\nif x!=y:\\n print('first mismatch',next((i for i,(a,b) in enumerate(zip(x,y)) if a!=b),None))\\nPY\\npython /workspace/pack_selection.py /workspace/submission/selection.json /tmp/final.npy\\npython - <<'PY'\\nimport numpy as np, hashlib\\nx=np.load('/tmp/final.npy');print('packed',len(x),x.dtype,'sha256',hashlib.sha256(x.tobytes()).hexdigest())\\nPY\\npython -m py_compile /workspace/submission/curate.py\\nls -lh /workspace/submission/selection.json /workspace/submission/curate.py /workspace/claim.md\\ncat /workspace/.timer/remaining_secs\",workdir:\"/workspace\",yield_time_ms:1000,max_output_tokens:4000});\ntext(JSON.stringify(r));"
}exec result
Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"6f049c","wall_time_seconds":1.001951144,"session_id":42207,"original_token_count":23,"output":"same evaluated candidate False length 30000 unique 30000 range 1 182006\nfirst mismatch 0\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport json\\nx=json.load(open('/workspace/submission/selection.json'));y=json.load(open('/workspace/rel18_wiki50_dedup.json'))\\nprint(x[:20]);print(y[:20])\\nPY\",workdir:\"/workspace\",yield_time_ms:10000,max_output_tokens:2000});\ntext(r.output);"
}exec result
Script completed
Wall time 0.1 seconds
Output:
[87261, 81027, 103973, 12743, 50793, 105389, 82269, 58452, 23391, 54294, 43758, 38082, 38702, 28976, 92766, 4591, 59892, 18843, 94043, 87040]
[24782, 68099, 57342, 12485, 49061, 59795, 85430, 40157, 8488, 7639, 31805, 99781, 87261, 14027, 103973, 49116, 50793, 43129, 71490, 108566]
The byte comparison caught a sign mismatch in my clean-room rewrite: the evaluated scorer rewards concise target-like passages (matching the dev’s paragraph-level encyclopedia records), while the rewrite accidentally penalized them. I’m correcting the script and claim to reproduce the tested criterion exactly, then rerunning the comparison before acceptance.
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/submission/curate.py\\n@@\\n-register and rank it by 1.8 * target log-odds plus a separate prose-quality\\n-score that penalizes boilerplate, fragments, and the noisier crawl partition.\\n+register and rank it by 1.8 * target log-odds plus a separate prose-quality\\n+score that penalizes boilerplate and the noisier crawl partition while giving\\n+a bounded preference to concise, paragraph-scale records.\\n@@\\n- score -= 0.8 * (n < 500)\\n+ # Concise records align with the paragraph-granularity encyclopedia target.\\n+ score += 0.8 * (n < 500)\\n*** Update File: /workspace/claim.md\\n@@\\n-cookie, login, storefront, and very-short-fragment markers.\\n+cookie, login, and storefront markers, plus more concise paragraph-scale prose.\\n*** End Patch\";\ntext(await tools.apply_patch(patch));"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:42207,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 8.6 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
packed 12000000 uint16 sha256 5208ef8a2c6859e15ac36cbd239790bb38975b41c54420692ffd62ea81db2803
-rw-r--r-- 1 root root 1.8K Aug 4 00:21 /workspace/claim.md
-rw-r--r-- 1 root root 7.3K Aug 4 00:21 /workspace/submission/curate.py
-rw-r--r-- 1 root root 209K Aug 4 00:20 /workspace/submission/selection.json
2106
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python /workspace/submission/curate.py\",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":"073778","wall_time_seconds":1.000838559,"session_id":61281,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:61281,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script running with cell ID 157
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "157",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 14.8 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:61281,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script running with cell ID 158
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "158",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 9.4 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:61281,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script running with cell ID 159
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "159",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 0.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:61281,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script running with cell ID 160
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "160",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 6.4 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:61281,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script running with cell ID 161
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "161",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 13.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:61281,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script running with cell ID 162
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "162",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 12.8 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:61281,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script running with cell ID 163
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "163",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 0.0 seconds
Output:
wrote 30000 unique ranked ids to /workspace/submission/selection.json
estimated domain token masses: [10784259, 3583514, 3585874, 3585688]