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
- 217
- duration
- 52m
- recorded
- 2026-08-04
run iddclm-nano-curation__nfvFpyv
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:45686,chars:\"\",yield_time_ms:30000,max_output_tokens:2000});\ntext(JSON.stringify(r));\n"
}exec result
Script running with cell ID 73
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "73",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 9.0 seconds
Output:
{"chunk_id":"7717f2","wall_time_seconds":30.001341279,"session_id":45686,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:45686,chars:\"\",yield_time_ms:30000,max_output_tokens:2000});\ntext(JSON.stringify(r));\n"
}exec result
Script completed
Wall time 10.2 seconds
Output:
{"chunk_id":"15bbea","wall_time_seconds":10.153759882,"exit_code":0,"original_token_count":16,"output":"HELDOUT_PPL 329.330 loss 5.7971 train_s 53 /tmp/ratio20.npy\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python train_nano.py --train_npy /tmp/ratio40.npy --heldout_npy data/multi_dev.npy --out_json /tmp/ratio40_result.json\",workdir:\"/workspace\",yield_time_ms:1000,max_output_tokens:1000});\ntext(JSON.stringify(r));\n"
}exec result
Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"318deb","wall_time_seconds":1.001669957,"session_id":91834,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/build_candidate.py\\n@@\\n ap.add_argument(\\\"--metric\\\", choices=[\\\"ratio\\\", \\\"nll\\\"], default=\\\"ratio\\\")\\n+ap.add_argument(\\\"--nll-weight\\\", type=float, default=0.0)\\n@@\\n-for q in range(4): scores[q] = qz + a.weight * robust_z(relevance[q])\\n+for q in range(4):\\n+ scores[q] = (qz + a.weight * robust_z(relevance[q])\\n+ + a.nll_weight * robust_z(-s[\\\"nll\\\"][q].astype(np.float64)))\\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 build_candidate.py --weight 2 --nll-weight .5 --name r2n05 && python build_candidate.py --weight 2 --nll-weight 1 --name r2n1 && python build_candidate.py --weight 2 --nll-weight 2 --name r2n2 && python build_candidate.py --weight 4 --nll-weight 1 --name r4n1\",workdir:\"/workspace\",yield_time_ms:30000,max_output_tokens:4000});\ntext(r.output);\n"
}exec result
Script completed
Wall time 2.4 seconds
Output:
r2n05 selected 182016 prefix docs 12384 tokens/q [3124051, 3121219, 3121481, 3134038] quality prefix 2.1249435913243397
r2n1 selected 182016 prefix docs 12407 tokens/q [3126632, 3123368, 3123524, 3127072] quality prefix 2.01926341059449
r2n2 selected 182016 prefix docs 12677 tokens/q [3125779, 3123862, 3124280, 3131628] quality prefix 1.8101737572216299
r4n1 selected 182016 prefix docs 12588 tokens/q [3124570, 3127135, 3124464, 3123917] quality prefix 1.753350944309743
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport numpy as np,glob,os\\nD=np.load('data/multi_dev.npy');V=50257;dc=np.bincount(D,minlength=V)+.1;dp=dc/dc.sum()\\nfor f in ['/tmp/early.npy','/tmp/dev_train.npy','/tmp/ratio05.npy','/tmp/ratio10.npy','/tmp/ratio20.npy','/tmp/ratio30.npy','/tmp/ratio40.npy','/tmp/ratio60.npy','/tmp/nll10.npy','/tmp/r2n05.npy','/tmp/r2n1.npy','/tmp/r2n2.npy','/tmp/r4n1.npy']:\\n if not os.path.exists(f):continue\\n a=np.load(f);c=np.bincount(a.astype(np.int64),minlength=V)+.1;p=c/c.sum(); kl=np.sum(dp*np.log(dp/p)); js=.5*np.sum(dp*np.log(dp/((dp+p)/2)))+.5*np.sum(p*np.log(p/((dp+p)/2)))\\n cover=np.mean(c[D]>1.1)\\n print(os.path.basename(f),f'KL {kl:.4f} JS {js:.4f} cover {cover:.4f} eos {p[50256]:.5f}')\\nPY\",workdir:\"/workspace\",yield_time_ms:10000,max_output_tokens:5000});\ntext(r.output);\n"
}exec result
Script completed
Wall time 0.9 seconds
Output:
early.npy KL 0.6171 JS 0.0823 cover 0.9969 eos 0.00142
dev_train.npy KL 0.6039 JS 0.0781 cover 0.9980 eos 0.00091
ratio05.npy KL 0.3801 JS 0.0614 cover 0.9990 eos 0.00105
ratio10.npy KL 0.3448 JS 0.0579 cover 0.9990 eos 0.00109
ratio20.npy KL 0.3328 JS 0.0566 cover 0.9990 eos 0.00121
ratio30.npy KL 0.3321 JS 0.0567 cover 0.9989 eos 0.00132
ratio40.npy KL 0.3346 JS 0.0574 cover 0.9989 eos 0.00139
ratio60.npy KL 0.3370 JS 0.0581 cover 0.9989 eos 0.00148
nll10.npy KL 0.5054 JS 0.0787 cover 0.9981 eos 0.00117
r2n05.npy KL 0.3478 JS 0.0591 cover 0.9988 eos 0.00126
r2n1.npy KL 0.3673 JS 0.0621 cover 0.9987 eos 0.00130
r2n2.npy KL 0.3930 JS 0.0661 cover 0.9985 eos 0.00140
r4n1.npy KL 0.3540 JS 0.0605 cover 0.9987 eos 0.00143
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:91834,chars:\"\",yield_time_ms:30000,max_output_tokens:2000});\ntext(JSON.stringify(r));\n"
}exec result
Script running with cell ID 79
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "79",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 2.4 seconds
Output:
{"chunk_id":"33f422","wall_time_seconds":20.861867849,"exit_code":0,"original_token_count":16,"output":"HELDOUT_PPL 326.945 loss 5.7898 train_s 53 /tmp/ratio40.npy\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python train_nano.py --train_npy /tmp/ratio60.npy --heldout_npy data/multi_dev.npy --out_json /tmp/ratio60_result.json\",workdir:\"/workspace\",yield_time_ms:1000,max_output_tokens:1000});\ntext(JSON.stringify(r));\n"
}exec result
Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"359eb4","wall_time_seconds":1.00089931,"session_id":57717,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python build_candidate.py --weight 8 --name ratio80 && python build_candidate.py --weight 10 --name ratio100 && python build_candidate.py --weight 20 --name ratio200\",workdir:\"/workspace\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);\n"
}exec result
Script completed
Wall time 1.9 seconds
Output:
ratio80 selected 182016 prefix docs 12848 tokens/q [3144078, 3123854, 3123772, 3123613] quality prefix 1.554851633457844
ratio100 selected 182016 prefix docs 12967 tokens/q [3119295, 3121336, 3120462, 3139031] quality prefix 1.4802268625100217
ratio200 selected 182016 prefix docs 13081 tokens/q [3145650, 3118141, 3118482, 3117948] quality prefix 1.3204938015163925
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport numpy as np,os\\nD=np.load('data/multi_dev.npy');V=50257;d=np.bincount(D,minlength=V)+.1;d=d/d.sum()\\nfor x in ['ratio80','ratio100','ratio200']:\\n a=np.load('/tmp/'+x+'.npy');p=np.bincount(a.astype(int),minlength=V)+.1;p=p/p.sum();print(x,np.sum(d*np.log(d/p)),.5*np.sum(d*np.log(d/((d+p)/2)))+.5*np.sum(p*np.log(p/((d+p)/2))))\\nPY\",workdir:\"/workspace\",yield_time_ms:10000,max_output_tokens:1000});\ntext(r.output);\n"
}exec result
Script completed
Wall time 0.4 seconds
Output:
ratio80 0.33911738546120496 0.0585407171348615
ratio100 0.33896929743443954 0.058798055330316804
ratio200 0.334167310123251 0.05936240836053698
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Add File: /workspace/score_bigrams.py\\n+#!/usr/bin/env python3\\n+\\\"\\\"\\\"Analysis helper: target bigram conditional scores for promising documents.\\\"\\\"\\\"\\n+import numpy as np\\n+\\n+V=50257; TOP=50000\\n+s=np.load('/tmp/pool_scores.npz'); quality=s['quality'].astype(float); ratio=s['ratio'].astype(float)\\n+offsets=np.load('/tmp/pool_offsets.npy'); tokens=np.memmap('/tmp/pool_tokens.uint16',dtype=np.uint16,mode='r')\\n+dev=np.load('/workspace/data/multi_dev.npy').astype(np.int64); n=len(quality)\\n+def rz(x):\\n+ m=np.median(x); z=np.quantile(x,.75)-np.quantile(x,.25);return np.clip((x-m)/z,-5,5)\\n+qz=rz(quality); base=np.asarray([qz+4*rz(ratio[q]) for q in range(4)])\\n+bnll=np.full((4,n),np.nan,np.float32); hit=np.full((4,n),np.nan,np.float32)\\n+for q in range(4):\\n+ d=dev[q*250000:(q+1)*250000]\\n+ uni=np.bincount(d,minlength=V).astype(float); up=(uni+.25)/(len(d)+.25*V)\\n+ prev=np.bincount(d[:-1],minlength=V).astype(float)\\n+ k=d[:-1]*V+d[1:]; keys,cnt=np.unique(k,return_counts=True)\\n+ docs=np.argsort(-base[q],kind='stable')[:TOP]\\n+ for jj,i in enumerate(docs):\\n+ a=np.asarray(tokens[offsets[i]:offsets[i+1]-1],dtype=np.int64)\\n+ if len(a)<2:bnll[q,i]=99;hit[q,i]=0;continue\\n+ x=a[:-1]*V+a[1:]; ix=np.searchsorted(keys,x); ok=ix<len(keys); vals=np.zeros(len(x),float)\\n+ good=np.flatnonzero(ok)\\n+ if len(good):\\n+ exact=keys[ix[good]]==x[good]; good=good[exact];vals[good]=cnt[ix[good]]\\n+ prob=(vals+10.0*up[a[1:]])/(prev[a[:-1]]+10.0)\\n+ bnll[q,i]=-np.log(prob).mean();hit[q,i]=(vals>0).mean()\\n+ if jj and jj%10000==0:print(q,jj,flush=True)\\n+np.save('/tmp/bigram_nll.npy',bnll);np.save('/tmp/bigram_hit.npy',hit)\\n+print('done')\\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 score_bigrams.py\",workdir:\"/workspace\",yield_time_ms:1000,max_output_tokens:3000});\ntext(JSON.stringify(r));\n"
}exec result
Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"d76cb6","wall_time_seconds":1.001696152,"session_id":37702,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:57717,chars:\"\",yield_time_ms:30000,max_output_tokens:2000});\ntext(JSON.stringify(r));\n"
}exec result
Script completed
Wall time 6.5 seconds
Output:
{"chunk_id":"aba3f9","wall_time_seconds":6.445019403,"exit_code":0,"original_token_count":16,"output":"HELDOUT_PPL 334.446 loss 5.8125 train_s 53 /tmp/ratio60.npy\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python train_nano.py --train_npy /tmp/ratio30.npy --heldout_npy data/multi_dev.npy --out_json /tmp/ratio30_result.json\",workdir:\"/workspace\",yield_time_ms:1000,max_output_tokens:1000});\ntext(JSON.stringify(r));\n"
}exec result
Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"5cac4c","wall_time_seconds":1.002460639,"session_id":59136,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:37702,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(JSON.stringify(r));\n"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{"chunk_id":"efe4f8","wall_time_seconds":0.000003039,"exit_code":0,"original_token_count":34,"output":"0 10000\n0 20000\n0 30000\n0 40000\n1 10000\n1 20000\n1 30000\n1 40000\n2 10000\n2 20000\n2 30000\n2 40000\n3 10000\n3 20000\n3 30000\n3 40000\ndone\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/build_candidate.py\\n@@\\n ap.add_argument(\\\"--nll-weight\\\", type=float, default=0.0)\\n+ap.add_argument(\\\"--bigram-weight\\\", type=float, default=0.0)\\n+ap.add_argument(\\\"--hit-weight\\\", type=float, default=0.0)\\n@@\\n scores = np.empty((4, n))\\n+bigram = np.load('/tmp/bigram_nll.npy') if a.bigram_weight else None\\n+hits = np.load('/tmp/bigram_hit.npy') if a.hit_weight else None\\n for q in range(4):\\n scores[q] = (qz + a.weight * robust_z(relevance[q])\\n + a.nll_weight * robust_z(-s[\\\"nll\\\"][q].astype(np.float64)))\\n+ if a.bigram_weight:\\n+ finite = np.isfinite(bigram[q])\\n+ bz = np.full(n, -20.0)\\n+ bz[finite] = robust_z(-bigram[q, finite].astype(np.float64))\\n+ scores[q] += a.bigram_weight * bz\\n+ if a.hit_weight:\\n+ finite = np.isfinite(hits[q])\\n+ hz = np.full(n, -20.0)\\n+ hz[finite] = robust_z(hits[q, finite].astype(np.float64))\\n+ scores[q] += a.hit_weight * hz\\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 build_candidate.py --weight 4 --bigram-weight .5 --name r4b05 && python build_candidate.py --weight 4 --bigram-weight 1 --name r4b1 && python build_candidate.py --weight 4 --bigram-weight 2 --name r4b2 && python build_candidate.py --weight 4 --hit-weight 1 --name r4h1 && python - <<'PY'\\nimport numpy as np\\nb=np.load('/tmp/bigram_nll.npy');h=np.load('/tmp/bigram_hit.npy')\\nfor q in range(4):\\n print(q,'bnll',np.nanquantile(b[q],[0,.1,.25,.5,.75,.9,1]),'hit',np.nanquantile(h[q],[0,.1,.25,.5,.75,.9,1]))\\nPY\",workdir:\"/workspace\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);\n"
}exec result
Script completed
Wall time 2.9 seconds
Output:
r4b05 selected 182016 prefix docs 12886 tokens/q [3141624, 3121739, 3121140, 3133330] quality prefix 1.7130416228504945
r4b1 selected 182016 prefix docs 13222 tokens/q [3124472, 3124549, 3125059, 3126148] quality prefix 1.590817536948186
r4b2 selected 182016 prefix docs 13627 tokens/q [3124543, 3126343, 3124043, 3125309] quality prefix 1.435687268574579
r4h1 selected 182016 prefix docs 13274 tokens/q [3121092, 3121852, 3120788, 3136875] quality prefix 1.5781107559614422
0 bnll [ 3.24199677 8.72632561 8.9756465 9.24729776 9.5288229 9.79352407
14.67410564] hit [0. 0.20883535 0.24031007 0.27290738 0.3052332 0.33501322
1. ]
1 bnll [ 2.67507195 6.84137301 7.18958163 7.56298923 7.92037535 8.23528528
10.26813507] hit [0.14215687 0.40845994 0.44477395 0.48714004 0.53088912 0.57212562
1. ]
2 bnll [ 2.2815938 7.34008369 7.6532321 7.99965405 8.35100818 8.6646594
12.9284811 ] hit [0. 0.3617571 0.39832138 0.43880597 0.47890222 0.5151515
1. ]
3 bnll [ 2.28150415 7.99898667 8.43625569 8.9019208 9.36823416 9.75790672
99. ] hit [0. 0.24285714 0.289516 0.34068145 0.39173955 0.44
1. ]
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:59136,chars:\"\",yield_time_ms:30000,max_output_tokens:2000});\ntext(JSON.stringify(r));\n"
}exec result
Script running with cell ID 90
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "90",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 0.0 seconds
Output:
{"chunk_id":"3b6579","wall_time_seconds":21.818702246,"exit_code":0,"original_token_count":16,"output":"HELDOUT_PPL 323.395 loss 5.7789 train_s 53 /tmp/ratio30.npy\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python build_candidate.py --weight 2.5 --name ratio25 && python build_candidate.py --weight 3.5 --name ratio35\",workdir:\"/workspace\",yield_time_ms:30000,max_output_tokens:2000});\ntext(r.output);\n"
}exec result
Script completed
Wall time 1.3 seconds
Output:
ratio25 selected 182016 prefix docs 12369 tokens/q [3123646, 3123639, 3126631, 3126474] quality prefix 2.089807342021896
ratio35 selected 182016 prefix docs 12480 tokens/q [3122418, 3123232, 3124683, 3130446] quality prefix 1.9114958614568494
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python build_candidate.py --weight 3 --bigram-weight .25 --name r3b025 && python build_candidate.py --weight 3 --bigram-weight .5 --name r3b05 && python build_candidate.py --weight 3 --bigram-weight 1 --name r3b1\",workdir:\"/workspace\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);\n"
}exec result
Script completed
Wall time 2.1 seconds
Output:
r3b025 selected 182016 prefix docs 12698 tokens/q [3123852, 3122956, 3123852, 3129595] quality prefix 1.9066703507776854
r3b05 selected 182016 prefix docs 12893 tokens/q [3123660, 3122653, 3122897, 3131036] quality prefix 1.808472034372069
r3b1 selected 182016 prefix docs 13338 tokens/q [3127214, 3124550, 3124016, 3127742] quality prefix 1.643625644009309
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python train_nano.py --train_npy /tmp/ratio25.npy --heldout_npy data/multi_dev.npy --out_json /tmp/ratio25_result.json\",workdir:\"/workspace\",yield_time_ms:1000,max_output_tokens:1000});\ntext(JSON.stringify(r));\n"
}exec result
Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"bdaf49","wall_time_seconds":1.002459155,"session_id":46449,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/build_candidate.py\\n@@\\n ap.add_argument(\\\"--hit-weight\\\", type=float, default=0.0)\\n+ap.add_argument(\\\"--shares\\\", default=\\\".25,.25,.25,.25\\\")\\n@@\\n n = len(quality)\\n+shares = np.asarray([float(x) for x in a.shares.split(',')])\\n+assert len(shares) == 4 and np.all(shares > 0)\\n+shares /= shares.sum()\\n@@\\n- q = int(np.argmin(used_tokens))\\n+ q = int(np.argmin(used_tokens / shares))\\n*** End Patch\";\ntext(await tools.apply_patch(patch));\n"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{}