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
- 282
- duration
- 1h 15m
- recorded
- 2026-08-04
run iddclm-nano-curation__69HmyDM
Everything gpt-5.6-sol did on this task, in order.
download JSON ↗encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:45523,chars:\"\",yield_time_ms:30000,max_output_tokens:10000});\ntext(r.output);\n"
}exec result
Script running with cell ID 189
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "189",
"yield_time_ms": 30000,
"max_tokens": 10000
}wait result
Script completed
Wall time 4.7 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:45523,chars:\"\",yield_time_ms:30000,max_output_tokens:10000});\ntext(r.output);\n"
}exec result
Script running with cell ID 190
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "190",
"yield_time_ms": 30000,
"max_tokens": 10000
}wait result
Script completed
Wall time 6.2 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:45523,chars:\"\",yield_time_ms:30000,max_output_tokens:10000});\ntext(r.output);\n"
}exec result
Script running with cell ID 191
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "191",
"yield_time_ms": 30000,
"max_tokens": 10000
}wait result
Script completed
Wall time 0.0 seconds
Output:
wrote 170263 unique ids to /workspace/submission/selection.json; total available tokens=178857185
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport json,hashlib,numpy as np\\nA=json.load(open('submission/selection.json'));B=json.load(open('experiments/v3w160t140.json'));L=np.load('token_lengths.npy')\\nprint('lengths',len(A),len(B),'exact_equal',A==B,'unique',len(set(A)),'range',min(A),max(A))\\nfor i,(a,b) in enumerate(zip(A,B)):\\n if a!=b: print('first_diff',i,a,b);break\\nt=0;n=0\\nfor i in A:\\n t+=int(L[i]);n+=1\\n if t>=12000000:break\\nprint('budget_crossing_docs',n,'raw_tokens_through_last_doc',t,'available',int(L[A].sum()))\\nprint('selection_sha256',hashlib.sha256(open('submission/selection.json','rb').read()).hexdigest())\\nPY\\npython -m py_compile submission/curate.py\\nls -lh submission/selection.json submission/curate.py claim.md\\ncat .timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":5000});\ntext(r.output);\n"
}exec result
Script completed
Wall time 0.8 seconds
Output:
lengths 170263 170263 exact_equal True unique 170263 range 0 182015
budget_crossing_docs 12514 raw_tokens_through_last_doc 12000518 available 178857185
selection_sha256 0cab3940bed4c03acb7201cbe5bc617895c0b23681bd86732f49ee3ddcc5745e
-rw-r--r-- 1 root root 1.9K Aug 4 02:05 claim.md
-rw-r--r-- 1 root root 11K Aug 4 02:00 submission/curate.py
-rw-r--r-- 1 root root 1.2M Aug 4 02:18 submission/selection.json
1269
The standalone script reproduced the winning exploratory list byte-for-order: 170,263 unique, in-range IDs; the budget crosses after 12,514 documents at 12,000,518 pre-truncation tokens, with 178.9M tokens available overall. I’m doing the final frozen-pipeline run and artifact checks now.
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"bash dev_eval.sh submission/selection.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":10000});\ntext(r.output);\nif (r.session_id) text(`SESSION_ID=${r.session_id}`);\n"
}exec result
Script completed
Wall time 1.3 seconds
Output:
SESSION_ID=30095encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport json,pickle,numpy as np\\nsel=json.load(open('submission/selection.json')); le=np.load('token_lengths.npy'); p=pickle.load(open('scores.pkl','rb'))['probs']; tot=0;sm=np.zeros(4,dtype=np.int64);cnt=np.zeros(4,dtype=int)\\nfor d in sel:\\n n=int(le[d]);k=int(p[d].argmax());sm[k]+=n;cnt[k]+=1;tot+=n\\n if tot>=12000000:break\\nprint('tokens',tot,'by_domain',sm.tolist(),'fractions',(sm/sm.sum()).round(5).tolist(),'docs',cnt.tolist())\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":3000});\ntext(r.output);\n"
}exec result
Script completed
Wall time 0.5 seconds
Output:
tokens 12000518 by_domain [3840071, 2399843, 2400446, 3360158] fractions [0.31999, 0.19998, 0.20003, 0.28] docs [3459, 2291, 3290, 3474]
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:30095,chars:\"\",yield_time_ms:30000,max_output_tokens:10000});\ntext(r.output);\n"
}exec result
Script running with cell ID 195
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "195",
"yield_time_ms": 30000,
"max_tokens": 10000
}wait result
Script completed
Wall time 1.3 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 170263 ids -> /tmp/dev_train.npy
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:30095,chars:\"\",yield_time_ms:30000,max_output_tokens:10000});\ntext(r.output);\n"
}exec result
Script running with cell ID 196
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "196",
"yield_time_ms": 30000,
"max_tokens": 10000
}wait result
Script completed
Wall time 4.9 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:30095,chars:\"\",yield_time_ms:30000,max_output_tokens:10000});\ntext(r.output);\n"
}exec result
Script completed
Wall time 6.5 seconds
Output:
HELDOUT_PPL 296.587 loss 5.6923 train_s 54 /tmp/dev_train.npy
(dev PPL on multi_dev; official uses a hidden disjoint sample of the same HQ domain)
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const p = await tools.update_plan({explanation:\"Standalone reproduction matched the winning list exactly, validation passed, and the frozen final run reproduced 296.587 dev perplexity.\",plan:[\n {step:\"Profile corpus, timer, and training interface\",status:\"completed\"},\n {step:\"Build document quality/domain signals and candidate rankings\",status:\"completed\"},\n {step:\"Run controlled dev perplexity experiments\",status:\"completed\"},\n {step:\"Finalize reproducible selector and claim\",status:\"completed\"},\n {step:\"Validate all deliverables and token coverage\",status:\"completed\"}\n]});\ntext(p);\n"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{}Completed all deliverables:
- selection.json: 170,263 unique IDs; 178.9M available tokens.
- curate.py: deterministic, independently reproduced the selection.
- claim.md: hypothesis, mechanism, falsification, and transfer.
Validation passed. Frozen dev perplexity: 296.587, versus 476.714 random baseline—a 37.8% reduction.