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: 299
duration: 1h 22m
recorded: 2026-08-04

run iddclm-nano-curation__7sx25Ej

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

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codexgpt-5.6-sol314 turns15 narration299 reasoning299 action299 observation1 final

#176

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "119",
  "yield_time_ms": 30000,
  "max_tokens": 1000
}

wait result

Script completed
Wall time 0.0 seconds
Output:
{"chunk_id":"4bd96c","wall_time_seconds":24.894295806,"exit_code":0,"original_token_count":18,"output":"HELDOUT_PPL 312.982  loss 5.7461  train_s 53  /tmp/train_near_tech.npy\n"}

#177

narration

The local sensitivity sweep confirms the optimum is not a fluke: every small one-domain tilt is worse (313.0–316.7 versus 311.0). I’m keeping equal allocation. I’ll use the remaining diagnostic budget for one orthogonal check—whether within-domain priority should lean more toward generic prose cleanliness or toward target-density—without changing the coverage rule.

#178

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/submission/curate.py\\n@@\\n-    def make_order(profile, custom_shares=None):\\n+    def make_order(profile, custom_shares=None, queues=None):\\n+        queues = ranked if queues is None else queues\\n@@\\n-        while est_total < BUDGET * 1.75 and any(pos[j] < len(ranked[j]) for j in range(4)):\\n-            avail = [j for j in range(4) if pos[j] < len(ranked[j])]\\n+        while est_total < BUDGET * 1.75 and any(pos[j] < len(queues[j]) for j in range(4)):\\n+            avail = [j for j in range(4) if pos[j] < len(queues[j])]\\n             j = min(avail, key=lambda k: used[k] / shares[k])\\n-            z = ranked[j][pos[j]]; pos[j] += 1\\n+            z = queues[j][pos[j]]; pos[j] += 1\\n@@\\n     if args.all_profiles:\\n@@\\n         for name, shares in mixes.items():\\n             oo = make_order(\\\"quality\\\" if name == \\\"quality\\\" else \\\"custom\\\", shares)\\n             (args.all_profiles / f\\\"{name}.json\\\").write_text(json.dumps(oo, separators=(\\\",\\\", \\\":\\\")))\\n+        # Orthogonal diagnostic ablations of the priority score, keeping equal\\n+        # queues and all filters fixed.\\n+        qqueues = [sorted(a, key=lambda z: z[0] + 0.50*z[1], reverse=True) for a in ranked]\\n+        dq = [0.55, 0.72, 0.58, 0.58]\\n+        dqueues = [sorted(a, key=lambda z: z[0] - dq[j]*z[1], reverse=True)\\n+                   for j, a in enumerate(ranked)]\\n+        for name, qq in [(\\\"qstrong\\\", qqueues), (\\\"densitystrong\\\", dqueues)]:\\n+            oo = make_order(\\\"custom\\\", [0.25]*4, qq)\\n+            (args.all_profiles / f\\\"{name}.json\\\").write_text(json.dumps(oo, separators=(\\\",\\\", \\\":\\\")))\\n*** End Patch\";\ntext(await tools.apply_patch(patch));\n"
}

exec result

Script completed
Wall time 0.0 seconds
Output:
{}

#179

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"python -m py_compile submission/curate.py && python submission/curate.py --output /tmp/equal6.json --all-profiles /tmp/profiles6 > /tmp/run6.txt\",\"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":"12b1ce","wall_time_seconds":1.001696536,"session_id":53661,"original_token_count":0,"output":""}

#180

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:53661,chars:\"\",yield_time_ms:30000,max_output_tokens:1000});\ntext(JSON.stringify(r));\n"
}

exec result

Script running with cell ID 122
Wall time 11.0 seconds
Output:

#181

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "122",
  "yield_time_ms": 30000,
  "max_tokens": 1000
}

wait result

Script completed
Wall time 8.3 seconds
Output:
{"chunk_id":"50a5bf","wall_time_seconds":30.001997345,"session_id":53661,"original_token_count":0,"output":""}

#182

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:53661,chars:\"\",yield_time_ms:30000,max_output_tokens:1000});\ntext(JSON.stringify(r));\n"
}

exec result

Script running with cell ID 123
Wall time 11.0 seconds
Output:

#183

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "123",
  "yield_time_ms": 30000,
  "max_tokens": 1000
}

wait result

Script completed
Wall time 15.2 seconds
Output:
{"chunk_id":"49e1c8","wall_time_seconds":30.000950876,"session_id":53661,"original_token_count":0,"output":""}

#184

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:53661,chars:\"\",yield_time_ms:30000,max_output_tokens:1000});\ntext(JSON.stringify(r));\n"
}

exec result

Script running with cell ID 124
Wall time 11.0 seconds
Output:

#185

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "124",
  "yield_time_ms": 30000,
  "max_tokens": 1000
}

wait result

Script completed
Wall time 15.1 seconds
Output:
{"chunk_id":"a32173","wall_time_seconds":30.001409529,"session_id":53661,"original_token_count":0,"output":""}

#186

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:53661,chars:\"\",yield_time_ms:30000,max_output_tokens:1000});\ntext(JSON.stringify(r));\n"
}

exec result

Script completed
Wall time 0.2 seconds
Output:
{"chunk_id":"11061c","wall_time_seconds":0.165568784,"exit_code":0,"original_token_count":0,"output":""}

#187

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const names=[\"qstrong\",\"densitystrong\"]; const rs=await Promise.all(names.map(n=>tools.exec_command({cmd:`python pack_selection.py /tmp/profiles6/${n}.json /tmp/train_${n}.npy`,workdir:\"/workspace\",yield_time_ms:1000,max_output_tokens:500}))); rs.forEach((r,i)=>text(JSON.stringify({name:names[i],...r})));\n"
}

exec result

Script completed
Wall time 1.2 seconds
Output:
{"name":"qstrong","chunk_id":"9782c8","wall_time_seconds":1.00108726,"session_id":89758,"original_token_count":0,"output":""}{"name":"densitystrong","chunk_id":"7cdd4d","wall_time_seconds":1.000951644,"session_id":7790,"original_token_count":0,"output":""}

#188

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const ids=[89758,7790]; const rs=await Promise.all(ids.map(session_id=>tools.write_stdin({session_id,chars:\"\",yield_time_ms:30000,max_output_tokens:500}))); rs.forEach((r,i)=>text(JSON.stringify({session:ids[i],...r})));\n"
}

exec result

Script running with cell ID 127
Wall time 11.0 seconds
Output:

#189

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "127",
  "yield_time_ms": 30000,
  "max_tokens": 1500
}

wait result

Script completed
Wall time 8.5 seconds
Output:
{"session":89758,"chunk_id":"75c879","wall_time_seconds":23.129169525000002,"exit_code":0,"original_token_count":63,"output":"Token indices sequence length is longer than the specified maximum sequence length for this model (1098 > 1024). Running this sequence through the model will result in indexing errors\npacked 12000000 tokens from 108690 ids -> /tmp/train_qstrong.npy\n"}{"session":7790,"chunk_id":"268352","wall_time_seconds":23.081427536,"exit_code":0,"original_token_count":64,"output":"Token indices sequence length is longer than the specified maximum sequence length for this model (1657 > 1024). Running this sequence through the model will result in indexing errors\npacked 12000000 tokens from 108690 ids -> /tmp/train_densitystrong.npy\n"}

#190

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"for n in qstrong densitystrong; do python train_nano.py --train_npy /tmp/train_${n}.npy --heldout_npy data/multi_dev.npy --out_json /tmp/${n}.json --max_iters 3000 --seed 1337; done\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":1500});\ntext(JSON.stringify(r));\n"
}

exec result

Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"197a42","wall_time_seconds":1.001985802,"session_id":95617,"original_token_count":0,"output":""}

#191

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:95617,chars:\"\",yield_time_ms:30000,max_output_tokens:1000});\ntext(JSON.stringify(r));\n"
}

exec result

Script running with cell ID 129
Wall time 11.0 seconds
Output:

#192

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "129",
  "yield_time_ms": 30000,
  "max_tokens": 1000
}

wait result

Script completed
Wall time 15.6 seconds
Output:
{"chunk_id":"48be4c","wall_time_seconds":30.001709391,"session_id":95617,"original_token_count":0,"output":""}

#193

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:95617,chars:\"\",yield_time_ms:30000,max_output_tokens:1000});\ntext(JSON.stringify(r));\n"
}

exec result

Script running with cell ID 130
Wall time 11.0 seconds
Output:

#194

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "130",
  "yield_time_ms": 30000,
  "max_tokens": 1000
}

wait result

Script completed
Wall time 15.6 seconds
Output:
{"chunk_id":"ffbac2","wall_time_seconds":30.001588043,"session_id":95617,"original_token_count":18,"output":"HELDOUT_PPL 312.570  loss 5.7448  train_s 53  /tmp/train_qstrong.npy\n"}

#195

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:95617,chars:\"\",yield_time_ms:30000,max_output_tokens:1000});\ntext(JSON.stringify(r));\n"
}

exec result

Script completed
Wall time 0.6 seconds
Output:
{"chunk_id":"656afb","wall_time_seconds":0.587210006,"exit_code":0,"original_token_count":19,"output":"HELDOUT_PPL 320.194  loss 5.7689  train_s 53  /tmp/train_densitystrong.npy\n"}

#196

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"cmp -s submission/selection.json /tmp/equal6.json; echo same_default=$?; python -m py_compile submission/curate.py; cat .timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000});\ntext(r.output);\n"
}

exec result

Script completed
Wall time 0.1 seconds
Output:
same_default=0
2686

#197

narration

Both priority-score ablations are also worse: over-weighting generic prose gives 312.6, while removing the prose contribution gives 320.2. The selected scoring balance remains best. I’m doing a cheap duplicate audit now; if whitespace/case-normalized duplicates are material beyond exact duplicates, they are the last obvious source of wasted tokens.

#198

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport json,re,hashlib,time\\nsp=re.compile(r'\\\\s+'); ex=set(); norm=set(); de=dn=0\\nfor l in open('data/pool.jsonl'):\\n r=json.loads(l); s=r['text']\\n h=hashlib.blake2b(s.encode(),digest_size=12).digest()\\n if h in ex: de+=1\\n else: ex.add(h)\\n h=hashlib.blake2b(sp.sub(' ',s).strip().lower().encode(),digest_size=12).digest()\\n if h in norm: dn+=1\\n else:norm.add(h)\\nprint({'docs':len(ex)+de,'exact_dups':de,'normalized_dups':dn,'incremental':dn-de})\\nPY\",\"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":"57f7c1","wall_time_seconds":1.002002704,"session_id":75325,"original_token_count":0,"output":""}

#199

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:75325,chars:\"\",yield_time_ms:30000,max_output_tokens:1000});\ntext(JSON.stringify(r));\n"
}

exec result

Script running with cell ID 134
Wall time 11.0 seconds
Output:

#200

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "134",
  "yield_time_ms": 30000,
  "max_tokens": 1000
}

wait result

Script completed
Wall time 9.4 seconds
Output:
{"chunk_id":"d7048d","wall_time_seconds":23.896293497,"exit_code":0,"original_token_count":21,"output":"{'docs': 182016, 'exact_dups': 11753, 'normalized_dups': 11753, 'incremental': 0}\n"}