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
- 183
- duration
- 48m
- recorded
- 2026-08-04
run iddclm-nano-curation__EVaJQmY
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.exec_command({cmd:\"sleep 45; ps -o pid,etime,%cpu,rss -p 5190; tail -10 /tmp/curate.log\",workdir:\"/workspace\",yield_time_ms:30000,max_output_tokens:2000}); text(r.output); if(r.session_id) text(`SESSION_ID=${r.session_id}`);\n"
}exec result
Script running with cell ID 120
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "120",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 3.3 seconds
Output:
SESSION_ID=40734encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"ps -o pid,etime,%cpu,rss -p 5190; tail -10 /tmp/curate.log; ls -lh /workspace/submission/selection.json 2>/dev/null || true\",workdir:\"/workspace\",yield_time_ms:10000,max_output_tokens:2000}); text(r.output)\n"
}exec result
Script completed
Wall time 0.1 seconds
Output:
PID ELAPSED %CPU RSS
5190 06:59 93.9 6185524
Token indices sequence length is longer than the specified maximum sequence length for this model (1048 > 1024). Running this sequence through the model will result in indexing errors
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"sleep 50; ps -o pid,etime,%cpu,rss -p 5190; tail -10 /tmp/curate.log; ls -lh /workspace/submission/selection.json 2>/dev/null || true\",workdir:\"/workspace\",yield_time_ms:30000,max_output_tokens:2000}); text(r.output); if(r.session_id) text(`SESSION_ID=${r.session_id}`);\n"
}exec result
Script running with cell ID 122
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "122",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 15.8 seconds
Output:
SESSION_ID=53763encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"ps -o pid,etime,%cpu,rss -p 5190; tail -10 /tmp/curate.log; ls -lh /workspace/submission/selection.json 2>/dev/null || true\",workdir:\"/workspace\",yield_time_ms:10000,max_output_tokens:2000}); text(r.output)\n"
}exec result
Script completed
Wall time 0.1 seconds
Output:
PID ELAPSED %CPU RSS
Token indices sequence length is longer than the specified maximum sequence length for this model (1048 > 1024). Running this sequence through the model will result in indexing errors
wrote 20031 unique ids; estimated 13,504,437 tokens; domains=[4000562, 3167612, 3171023, 3165240]
-rw-r--r-- 1 root root 138K Aug 4 01:49 /workspace/submission/selection.json
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"cmp -s /workspace/submission/selection.json /workspace/candidates/wiki34.json; echo CMP_EXIT:$?\\npython - <<'PY'\\nimport json\\np='/workspace/submission/selection.json';x=json.load(open(p));print('ids',len(x),'unique',len(set(x)),'min',min(x),'max',max(x),'types',set(map(type,x)))\\nassert len(x)==len(set(x)) and min(x)>=0 and max(x)<182016\\nPY\\npython /workspace/pack_selection.py /workspace/submission/selection.json /tmp/final_train.npy\\npython - <<'PY'\\nimport numpy as np\\nx=np.load('/tmp/final_train.npy');print('packed_shape',x.shape,'dtype',x.dtype,'minmax',int(x.min()),int(x.max()))\\nassert x.shape==(12000000,) and x.dtype==np.uint16\\nPY\\npython -m py_compile /workspace/submission/curate.py\\nls -lh /workspace/submission/selection.json /workspace/submission/curate.py /workspace/claim.md\",workdir:\"/workspace\",yield_time_ms:1000,max_output_tokens:4000}); text(r.output); if(r.session_id) text(`SESSION_ID=${r.session_id}`);\n"
}exec result
Script completed
Wall time 1.2 seconds
Output:
CMP_EXIT:0
ids 20031 unique 20031 min 5 max 181751 types {<class 'int'>}
SESSION_ID=3774encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:3774,chars:\"\",yield_time_ms:30000,max_output_tokens:4000}); text(r.output);\n"
}exec result
Script running with cell ID 125
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "125",
"yield_time_ms": 30000,
"max_tokens": 4000
}wait result
Script completed
Wall time 6.3 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 20031 ids -> /tmp/final_train.npy
packed_shape (12000000,) dtype uint16 minmax 0 50256
-rw-r--r-- 1 root root 2.1K Aug 4 01:42 /workspace/claim.md
-rw-r--r-- 1 root root 8.7K Aug 4 01:44 /workspace/submission/curate.py
-rw-r--r-- 1 root root 138K Aug 4 01:49 /workspace/submission/selection.json
The final script reproduced the tested candidate exactly; all 20,031 IDs are unique/in-range and the official packer produced exactly 12,000,000 uint16 tokens. Since runtime remains, I’m checking one narrow refinement: 35% encyclopedic data using only the next-ranked documents. This tests the small gap between the 33% optimum and the clearly worse 40% mix without changing the final files unless it wins.
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/extend_wiki.py\\n@@\\n-src='/workspace/candidates/target.json';out='/workspace/candidates/wiki40.json';sel=json.load(open(src));chosen=set(sel)\\n+src='/workspace/candidates/target.json';out='/workspace/candidates/wiki35.json';sel=json.load(open(src));chosen=set(sel)\\n@@\\n-q[0].extend(i for _,i,_ in sorted(h,reverse=True));w=[.40,.20,.20,.20];used=[0]*4;p=[0]*4;ans=[]\\n+q[0].extend(i for _,i,_ in sorted(h,reverse=True));w=[.35,.2166667,.2166667,.2166666];used=[0]*4;p=[0]*4;ans=[]\\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 -u /workspace/extend_wiki.py && bash /workspace/dev_eval.sh /workspace/candidates/wiki35.json\",workdir:\"/workspace\",yield_time_ms:1000,max_output_tokens:3000}); text(r.output); if(r.session_id) text(`SESSION_ID=${r.session_id}`);\n"
}exec result
Script completed
Wall time 1.2 seconds
Output:
SESSION_ID=8672encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:8672,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output);\n"
}exec result
Script running with cell ID 128
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "128",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 15.6 seconds
Output:
Token indices sequence length is longer than the specified maximum sequence length for this model (1048 > 1024). Running this sequence through the model will result in indexing errors
19965 [4726332, 2924574, 2925723, 2923596]
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:8672,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output);\n"
}exec result
Script running with cell ID 129
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "129",
"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
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:8672,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output);\n"
}exec result
Script running with cell ID 130
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "130",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 15.7 seconds
Output:
packed 12000000 tokens from 19965 ids -> /tmp/dev_train.npy
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:8672,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output);\n"
}exec result
Script running with cell ID 131
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "131",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 0.0 seconds
Output:
HELDOUT_PPL 359.853 loss 5.8857 train_s 56 /tmp/dev_train.npy
(dev PPL on multi_dev; official uses a hidden disjoint sample of the same HQ domain)
Completed and validated:
- selection.json — 20,031 unique, in-range IDs; packs to exactly 12M tokens.
- curate.py — reproducibly regenerates the tested selection.
- claim.md
Best dev perplexity: 343.719, versus 476.714 random baseline—a 27.9% reduction.