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:\"python /workspace/pack_selection.py /workspace/candidates/target.json /tmp/target_train.npy && python /workspace/run_parts.py /tmp/target_train.npy\",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=84892encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:84892,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output);\n"
}exec result
Script running with cell ID 75
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "75",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 10.0 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
packed 12000000 tokens from 23682 ids -> /tmp/target_train.npy
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:84892,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output);\n"
}exec result
Script running with cell ID 76
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "76",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 9.9 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:84892,chars:\"\",yield_time_ms:30000,max_output_tokens:5000}); text(r.output);\n"
}exec result
Script running with cell ID 77
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "77",
"yield_time_ms": 30000,
"max_tokens": 5000
}wait result
Script completed
Wall time 3.8 seconds
Output:
HELDOUT_PPL 351.324 loss 5.8617 train_s 55 /tmp/target_train.npy
PART 0 PPL 766.0307621785009 LOSS 6.6412223284361795
PART 1 PPL 267.7695424195858 LOSS 5.590126694225874
PART 2 PPL 290.79414579963725 LOSS 5.672615614093718
PART 3 PPL 254.4259654161076 LOSS 5.539009891572546
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Add File: /workspace/reweight.py\\n+import json,sys\\n+from transformers import GPT2TokenizerFast\\n+\\n+src,out=sys.argv[1:3]; weights=list(map(float,sys.argv[3:7])); sel=json.load(open(src)); wanted=set(sel); text={}\\n+for line in open('/workspace/data/pool.jsonl'):\\n+ import json as J\\n+ o=J.loads(line)\\n+ if o['id'] in wanted:text[o['id']]=o['text']\\n+tok=GPT2TokenizerFast.from_pretrained('gpt2',local_files_only=True); lens={}\\n+for st in range(0,len(sel),256):\\n+ b=sel[st:st+256];e=tok([text[i] for i in b],add_special_tokens=False)\\n+ for i,x in zip(b,e.input_ids):lens[i]=len(x)+1\\n+# Recover which fair-merge queue emitted every id in the source selection.\\n+used=[0]*4; queues=[[] for _ in range(4)]\\n+for i in sel:\\n+ j=min(range(4),key=lambda x:used[x]);queues[j].append(i);used[j]+=lens[i]\\n+# Re-merge the same within-domain rankings with a requested token ratio.\\n+used=[0]*4;ptr=[0]*4;ans=[]\\n+while sum(used)<13_500_000:\\n+ avail=[j for j in range(4) if ptr[j]<len(queues[j])]\\n+ if not avail:break\\n+ j=min(avail,key=lambda x:used[x]/weights[x]);i=queues[j][ptr[j]];ptr[j]+=1;ans.append(i);used[j]+=lens[i]\\n+json.dump(ans,open(out,'w'));print(len(ans),used,sum(used))\\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/reweight.py /workspace/candidates/target.json /workspace/candidates/wiki34.json 0.34 0.22 0.22 0.22\",workdir:\"/workspace\",yield_time_ms:1000,max_output_tokens:2000}); 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=53840encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:53840,chars:\"\",yield_time_ms:30000,max_output_tokens:2000}); text(r.output);\n"
}exec result
Script running with cell ID 80
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "80",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 13.7 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
20031 [4000562, 3167612, 3171023, 3165240] 13504437
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"bash /workspace/dev_eval.sh /workspace/candidates/wiki34.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=41067encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:41067,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output);\n"
}exec result
Script running with cell ID 82
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "82",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 10.8 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:41067,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output);\n"
}exec result
Script running with cell ID 83
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "83",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 14.7 seconds
Output:
packed 12000000 tokens from 20031 ids -> /tmp/dev_train.npy
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:41067,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output);\n"
}exec result
Script running with cell ID 84
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "84",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 0.0 seconds
Output:
HELDOUT_PPL 343.719 loss 5.8398 train_s 56 /tmp/dev_train.npy
(dev PPL on multi_dev; official uses a hidden disjoint sample of the same HQ domain)
The per-domain diagnostic paid off: shifting from 25% to roughly one-third encyclopedic data lowers dev perplexity again, from 351.3 to 343.7. I’m testing one final mix that also gives the harder news quarter a modest increase; the within-domain rankings remain unchanged, so this isolates allocation rather than adding selection complexity.
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python -u /workspace/reweight.py /workspace/candidates/target.json /workspace/candidates/wiki_news.json 0.333 0.20 0.267 0.20 && bash /workspace/dev_eval.sh /workspace/candidates/wiki_news.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=56574encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:56574,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output);\n"
}exec result
Script running with cell ID 86
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "86",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 14.0 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
19443 [4000562, 2848221, 3802982, 2848380] 13500145
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:56574,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output);\n"
}exec result
Script running with cell ID 87
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "87",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 14.8 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:56574,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output);\n"
}exec result
Script running with cell ID 88
Wall time 11.0 seconds
Output: