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
- 222
- duration
- 57m
- recorded
- 2026-08-04
run iddclm-nano-curation__f5FdhJo
Everything gpt-5.6-sol did on this task, in order.
download JSON ↗encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "148",
"yield_time_ms": 20000,
"max_tokens": 5000
}wait result
Script completed
Wall time 13.1 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:88538,chars:\"\",yield_time_ms:10000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script completed
Wall time 0.0 seconds
Output:
HELDOUT_PPL 304.923 loss 5.7201 train_s 56 /workspace/work/train_mid88.npy
QUARTER 0 loss 6.529 ppl 684.69
QUARTER 1 loss 5.6092 ppl 272.93
QUARTER 2 loss 5.7503 ppl 314.29
QUARTER 3 loss 4.9881 ppl 146.66
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/work/make_variants.py\\n@@\\n for pw in (.35, .65, 1.35):\\n@@\\n print(name, used)\\n+\\n+for weight in (.04, .08, .12):\\n+ tech = weight * (np.log1p(q[:, 5]) + .55 * np.log1p(q[:, 6]))\\n+ lists = []\\n+ for k in range(4):\\n+ score = base + .85 * domain[:, k] + (tech if k == 3 else 0)\\n+ lists.append(good[np.argsort(-score[good], kind=\\\"stable\\\")])\\n+ ids, used = interleave(lists, lengths)\\n+ chosen = set(ids)\\n+ tail = np.argsort(-(base + .85 * domain.max(1)), kind=\\\"stable\\\")\\n+ ids += [int(i) for i in tail if i not in chosen]\\n+ name = f\\\"besttech{int(weight*100)}\\\"\\n+ json.dump(ids, open(f\\\"/workspace/work/{name}.json\\\", \\\"w\\\"))\\n+ print(name, used)\\n*** End Patch\";\nconst result = await tools.apply_patch(patch);\ntext(result);"
}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:\"PYTHONPATH=/workspace/work python3 /workspace/work/make_variants.py | tail -3\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":2000});\ntext(r.output);"
}exec result
Script completed
Wall time 10.2 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"ls -l /workspace/work/besttech*.json 2>/dev/null || true; PYTHONPATH=/workspace/work python3 /workspace/work/make_variants.py | tail -3\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":3000});\ntext(r.output);"
}exec result
Script running with cell ID 152
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "152",
"yield_time_ms": 20000,
"max_tokens": 3000
}wait result
Script completed
Wall time 0.0 seconds
Output:
-rw-r--r-- 1 root root 1345018 Aug 4 01:47 /workspace/work/besttech12.json
-rw-r--r-- 1 root root 1345018 Aug 4 01:47 /workspace/work/besttech4.json
-rw-r--r-- 1 root root 1345018 Aug 4 01:47 /workspace/work/besttech8.json
besttech4 [3003363, 3000552, 3001562, 3000069]
besttech8 [3004458, 3000219, 3000244, 3001273]
besttech12 [3005522, 3000185, 3000244, 3002479]
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python3 /workspace/work/pack_cache.py /workspace/work/besttech4.json /workspace/work/train_besttech4.npy && python3 /workspace/work/train_diag.py --train_npy /workspace/work/train_besttech4.npy --heldout_npy /workspace/data/multi_dev.npy --out_json /workspace/work/besttech4_eval.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":5000});\ntext(JSON.stringify(r));"
}exec result
Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"abac20","wall_time_seconds":1.001827739,"session_id":65913,"original_token_count":11,"output":"packed 12000000 tokens from 15473 documents\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:65913,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script running with cell ID 154
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "154",
"yield_time_ms": 20000,
"max_tokens": 5000
}wait result
Script completed
Wall time 12.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:65913,chars:\"\",yield_time_ms:10000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script completed
Wall time 10.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:65913,chars:\"\",yield_time_ms:10000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script completed
Wall time 0.0 seconds
Output:
HELDOUT_PPL 306.977 loss 5.7268 train_s 55 /workspace/work/train_besttech4.npy
QUARTER 0 loss 6.5324 ppl 687.06
QUARTER 1 loss 5.5986 ppl 270.06
QUARTER 2 loss 5.764 ppl 318.62
QUARTER 3 loss 5.0073 ppl 149.49
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"cp /workspace/work/mid85_w30.json /workspace/submission/selection.json\\npython3 - <<'PY'\\nimport json,numpy as np\\np='/workspace/submission/selection.json'; ids=json.load(open(p)); n=182016\\nprint('ids',len(ids),'unique',len(set(ids)),'minmax',min(ids),max(ids),'allvalid',all(type(x) is int and 0<=x<n for x in ids))\\nz=np.load('/workspace/work/meta.npz'); lens=np.diff(z['offsets']); total=0\\nfor j,i in enumerate(ids):\\n total+=int(lens[i])+1\\n if total>=12000000:break\\nprint('coverage',total,'docs_used',j+1)\\nPY\\npython3 /workspace/pack_selection.py /workspace/submission/selection.json /workspace/work/train_official.npy\\ncmp /workspace/work/train_official.npy /workspace/work/train_mid85.npy && echo PACK_MATCH\",\"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":"b807de","wall_time_seconds":1.001414374,"session_id":25094,"original_token_count":23,"output":"ids 182016 unique 182016 minmax 0 182015 allvalid True\ncoverage 12000516 docs_used 16482\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:25094,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": 20000,
"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 (1733 > 1024). Running this sequence through the model will result in indexing errors
packed 12000000 tokens from 182016 ids -> /workspace/work/train_official.npy
PACK_MATCH
The final candidate is now fixed at dev perplexity 298.9 (versus 470.9 random). Its 12M-token prefix uses 16,482 documents; all 182,016 listed IDs are unique and in range, and the official packer’s output matches my cached token array byte-for-byte. I’m doing one clean end-to-end reproduction from curate.py before handoff.
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"cp /workspace/submission/selection.json /workspace/work/selection_expected.json && python3 /workspace/submission/curate.py && cmp /workspace/submission/selection.json /workspace/work/selection_expected.json && echo SELECTION_REPRODUCED\",\"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":"aff7ea","wall_time_seconds":1.001592845,"session_id":60815,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:60815,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": 20000,
"max_tokens": 3000
}wait result
Script completed
Wall time 15.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:60815,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": 20000,
"max_tokens": 3000
}wait result
Script completed
Wall time 13.4 seconds
Output:
tokenized 20480/182016 documents in 43s
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:60815,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": 20000,
"max_tokens": 3000
}wait result
Script completed
Wall time 14.2 seconds
Output:
tokenized 40960/182016 documents in 84s
tokenized 61440/182016 documents in 124s
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:60815,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": 20000,
"max_tokens": 3000
}wait result
Script completed
Wall time 14.5 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:60815,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script running with cell ID 164
Wall time 11.0 seconds
Output: