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nano-gpt-data-curation

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
187
duration
50m
recorded
2026-08-03

run iddclm-nano-curation__XWHDKVK

Everything gpt-5.6-sol did on this task, in order.

download JSON ↗
codexgpt-5.6-sol198 turns11 narration187 reasoning187 action187 observation1 final
#176
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "114",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}
wait result
Script completed
Wall time 15.7 seconds
Output:
Token indices sequence length is longer than the specified maximum sequence length for this model (2000 > 1024). Running this sequence through the model will result in indexing errors
packed 12000000 tokens from 50000 ids -> /tmp/trainw400.npy
SESSION_ID=40589
#177
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:40589,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output); if(r.session_id) text(`SESSION_ID=${r.session_id}`)\n"
}
exec result
Script running with cell ID 115
Wall time 11.0 seconds
Output:
#178
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "115",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}
wait result
Script completed
Wall time 9.5 seconds
Output:
SESSION_ID=40589
#179
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:40589,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output); if(r.session_id) text(`SESSION_ID=${r.session_id}`)\n"
}
exec result
Script completed
Wall time 6.8 seconds
Output:
QUARTER 0 PPL 749.4938654851136 LOSS 6.619398132699435
QUARTER 1 PPL 268.6688180286438 LOSS 5.593479461357242
QUARTER 2 PPL 293.1571206438673 LOSS 5.680708713218814
QUARTER 3 PPL 153.23300425535425 LOSS 5.03195966658045
HELDOUT_PPL 308.648  loss 5.7322  train_s 50  /tmp/trainw400.npy
#180
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport json,hashlib\\nwith open('/tmp/seghashes.jsonl','w') as f:\\n for line in open('data/pool.jsonl'):\\n  d=json.loads(line);hs=[]\\n  for seg in d['text'].split('<|endoftext|>'):\\n   z=' '.join(seg.lower().split())\\n   if len(z)>=500:hs.append(hashlib.blake2b(z.encode(),digest_size=8).hexdigest())\\n  if not hs:\\n   z=' '.join(d['text'].lower().split());hs=[hashlib.blake2b(z.encode(),digest_size=8).hexdigest()]\\n  f.write(json.dumps([d['id'],hs])+'\\\\n')\\nPY\\npython - <<'PY'\\nimport numpy as np,json\\nhs={i:z for i,z in map(json.loads,open('/tmp/seghashes.jsonl'))};r=np.loadtxt('/tmp/scores.tsv');r=r[(r[:,1]>=900)&(r[:,1]<=30000)];lists=[]\\nfor j in range(4):\\n ds=r[:,3+j]-np.max(np.delete(r[:,3:7],j,axis=1),axis=1);sc=r[:,2]+.8*ds;o=np.argsort(-sc);lists.append([(int(r[k,0]),r[k,1]) for k in o])\\npos=[0]*4;used=set();uh=set();tot=[0.]*4;out=[];fac=[.27,.27,.27,.34];skip=0\\nwhile len(out)<50000:\\n j=min(range(4),key=lambda x:tot[x])\\n while True:\\n  i,ch=lists[j][pos[j]];pos[j]+=1\\n  if i not in used and not any(x in uh for x in hs[i]):break\\n  skip+=1\\n used.add(i);uh.update(hs[i]);out.append(i);tot[j]+=ch*fac[j]\\njson.dump(out,open('/tmp/segdedup.json','w'));print(tot,'skips',skip)\\nPY\\npython pack_selection.py /tmp/segdedup.json /tmp/trainseg.npy\\nPYTHONPATH=/workspace python /tmp/train_diag.py --train_npy /tmp/trainseg.npy --heldout_npy data/multi_dev.npy --out_json /tmp/diagseg.json --max_iters 3000 --seed 1337\",\"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=49108
#181
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:49108,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output); if(r.session_id) text(`SESSION_ID=${r.session_id}`)\n"
}
exec result
Script running with cell ID 118
Wall time 11.0 seconds
Output:
#182
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "118",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}
wait result
Script completed
Wall time 15.9 seconds
Output:
[12426951.690000039, 12421353.240000002, 12421242.270000037, 12422908.10000002] skips 39039
Token indices sequence length is longer than the specified maximum sequence length for this model (2000 > 1024). Running this sequence through the model will result in indexing errors
SESSION_ID=49108
#183
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:49108,chars:\"\",yield_time_ms\":30000,max_output_tokens:3000}); text(r.output); if(r.session_id) text(`SESSION_ID=${r.session_id}`)\n"
}
exec result
Script failed
Wall time 0.0 seconds
Output:
Script error:
SyntaxError: Invalid or unexpected token
#184
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:49108,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); 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:
#185
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "120",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}
wait result
Script completed
Wall time 15.7 seconds
Output:
packed 12000000 tokens from 50000 ids -> /tmp/trainseg.npy
SESSION_ID=49108
#186
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:49108,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output); if(r.session_id) text(`SESSION_ID=${r.session_id}`)\n"
}
exec result
Script running with cell ID 121
Wall time 11.0 seconds
Output:
#187
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "121",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}
wait result
Script completed
Wall time 9.4 seconds
Output:
QUARTER 0 PPL 754.2400534454664 LOSS 6.62571069060779
QUARTER 1 PPL 267.48845790632424 LOSS 5.589076417391418
QUARTER 2 PPL 295.3649628002279 LOSS 5.688211753720143
QUARTER 3 PPL 150.2248536106178 LOSS 5.0121331957520034
HELDOUT_PPL 307.758  loss 5.7293  train_s 51  /tmp/trainseg.npy
#188
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({cmd:\"cmp -s /tmp/trainseg.npy /tmp/traindedup.npy; echo $?; python - <<'PY'\\nimport json\\nx=json.load(open('/tmp/segdedup.json'));y=json.load(open('/tmp/bal08dedup.json'))\\nprint(next((i for i,z in enumerate(zip(x,y)) if z[0]!=z[1]),None))\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000}); text(r.output)\n"
}
exec result
Script completed
Wall time 0.2 seconds
Output:
0
37641
#189
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport numpy as np,json\\nh={int(a):b for a,b in map(str.split,open('/tmp/hashes.tsv'))};r=np.loadtxt('/tmp/scores.tsv');r=r[(r[:,1]>=900)&(r[:,1]<=30000)];lists=[]\\nfor j in range(4):\\n ds=r[:,3+j]-np.max(np.delete(r[:,3:7],j,axis=1),axis=1);sc=r[:,2]+.85*ds;o=np.argsort(-sc);lists.append([(int(r[k,0]),r[k,1]) for k in o])\\npos=[0]*4;used=set();uh=set();tot=[0.]*4;out=[];fac=[.27,.27,.27,.34]\\nwhile len(out)<50000:\\n j=min(range(4),key=lambda x:tot[x])\\n while True:\\n  i,ch=lists[j][pos[j]];pos[j]+=1\\n  if i not in used and h[i] not in uh:break\\n used.add(i);uh.add(h[i]);out.append(i);tot[j]+=ch*fac[j]\\njson.dump(out,open('/tmp/bal085.json','w'));print(tot)\\nPY\\npython pack_selection.py /tmp/bal085.json /tmp/train085.npy\\nPYTHONPATH=/workspace python /tmp/train_diag.py --train_npy /tmp/train085.npy --heldout_npy data/multi_dev.npy --out_json /tmp/diag085.json --max_iters 3000 --seed 1337\",\"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:
[12441969.630000044, 12441456.089999992, 12442183.47000005, 12441855.620000053]
SESSION_ID=4821
#190
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:4821,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output); if(r.session_id) text(`SESSION_ID=${r.session_id}`)\n"
}
exec result
Script running with cell ID 124
Wall time 11.0 seconds
Output:
#191
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "124",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}
wait result
Script completed
Wall time 15.5 seconds
Output:
Token indices sequence length is longer than the specified maximum sequence length for this model (2000 > 1024). Running this sequence through the model will result in indexing errors
packed 12000000 tokens from 50000 ids -> /tmp/train085.npy
SESSION_ID=4821
#192
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:4821,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output); if(r.session_id) text(`SESSION_ID=${r.session_id}`)\n"
}
exec result
Script running with cell ID 125
Wall time 11.0 seconds
Output:
#193
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "125",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}
wait result
Script completed
Wall time 12.1 seconds
Output:
SESSION_ID=4821
#194
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:4821,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output); if(r.session_id) text(`SESSION_ID=${r.session_id}`)\n"
}
exec result
Script completed
Wall time 6.0 seconds
Output:
QUARTER 0 PPL 783.063672452733 LOSS 6.663214011270492
QUARTER 1 PPL 264.9980540230478 LOSS 5.5797224826500065
QUARTER 2 PPL 295.9498951114318 LOSS 5.690190166723533
QUARTER 3 PPL 155.76667008981767 LOSS 5.0483591830144166
HELDOUT_PPL 312.990  loss 5.7462  train_s 50  /tmp/train085.npy
#195
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.update_plan({explanation:\"Final script regenerated the submitted selection; the packed 12M-token array exactly matches the best validated candidate.\",plan:[\n  {step:\"Inspect corpus, frozen trainer, dev data, and time budget\",status:\"completed\"},\n  {step:\"Profile document sources/quality and implement candidate rankers\",status:\"completed\"},\n  {step:\"Benchmark candidates with frozen training runs\",status:\"completed\"},\n  {step:\"Generate final selection and claim, then validate deliverables\",status:\"completed\"}\n]}); text(r)\n"
}
exec result
Script completed
Wall time 0.0 seconds
Output:
{}
#196
narration

Completed and validated:

  • selection.json: 50,000 unique, valid IDs; packs exactly 12M tokens.
  • curate.py: reproducible target-similarity, quality, balance, and deduplication pipeline.
  • claim.md: required scientific claim sections.

Frozen dev perplexity: 307.758, versus 449.386 for random selection.

#197
narration

The deliverables were already finalized before the interruption. I’ll do one quick integrity check on the exact paths and preserve the validated selection unchanged.

#198
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({cmd:\"cat .timer/remaining_secs && python - <<'PY'\\nimport json, pathlib, py_compile\\nroot=pathlib.Path('/workspace')\\nsel=json.load(open(root/'submission/selection.json'))\\nassert len(sel)==len(set(sel)) and min(sel)>=0 and max(sel)<182016\\npy_compile.compile(str(root/'submission/curate.py'),doraise=True)\\nassert (root/'claim.md').is_file()\\nprint({'ids':len(sel),'unique':len(set(sel)),'min':min(sel),'max':max(sel),'deliverables':'valid'})\\nPY\\nls -lh submission/selection.json submission/curate.py claim.md\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":2000}); text(r.output)\n"
}
exec result
Script completed
Wall time 0.2 seconds
Output:
2576
{'ids': 50000, 'unique': 50000, 'min': 1, 'max': 182015, 'deliverables': 'valid'}
-rw-r--r-- 1 root root 1.9K Aug  3 23:13 claim.md
-rw-r--r-- 1 root root 7.2K Aug  3 23:13 submission/curate.py
-rw-r--r-- 1 root root 343K Aug  3 23:19 submission/selection.json
final summary

Integrity check passed. All required deliverables are finalized at the exact requested paths; the selection contains 50,000 unique valid IDs and covers 12M tokens.