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
- 222
- duration
- 57m
- recorded
- 2026-08-04
run iddclm-nano-curation__f5FdhJo
Everything gpt-5.6-sol did on this task, in order.
download JSON ↗encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Add File: /workspace/work/pack_cache.py\\n+import json\\n+import sys\\n+\\n+import numpy as np\\n+\\n+BUDGET = 12_000_000\\n+sel = json.load(open(sys.argv[1]))\\n+out = sys.argv[2]\\n+z = np.load(\\\"/workspace/work/meta.npz\\\")\\n+off = z[\\\"offsets\\\"]\\n+tokens = np.memmap(\\\"/workspace/work/all_tokens.bin\\\", dtype=np.uint16, mode=\\\"r\\\")\\n+parts = []\\n+total = 0\\n+used = 0\\n+for i in sel:\\n+ x = tokens[off[i]:off[i + 1]]\\n+ take = min(len(x), BUDGET - total)\\n+ if take:\\n+ parts.append(np.asarray(x[:take]))\\n+ total += take\\n+ if total < BUDGET:\\n+ parts.append(np.array([50256], dtype=np.uint16)); total += 1\\n+ used += 1\\n+ if total >= BUDGET:\\n+ break\\n+arr = np.concatenate(parts)[:BUDGET]\\n+np.save(out, arr)\\n+print(\\\"packed\\\", len(arr), \\\"tokens from\\\", used, \\\"documents\\\")\\n*** End Patch\";\nconst result = await tools.apply_patch(patch);\ntext(result);"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{}The baseline dev perplexity is 470.9. The corpus appears to be a genuinely noisy crawl, while the dev target has four sharply identifiable quarters: WikiText-style encyclopedia, polished web articles, news, and Stack Overflow-style Q&A. I’m using those disclosed distributions only as a density/style reference, with explicit equal token quotas so one easy-to-detect domain cannot crowd out the others.
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:82105,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:17742,chars:\"\",yield_time_ms:1000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.0 seconds
Output:
40960 28834190 93.9
46080 32411445 105.7
51200 35939554 117.3
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:82105,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/work/make_candidates.py\\n@@\\n for name, score in variants.items():\\n@@\\n json.dump(ids, (W / f\\\"{name}.json\\\").open(\\\"w\\\"))\\n print(name, used, len(ids), [(k, int((assigned[np.array(ids[:12000])] == k).sum())) for k in range(4)]) )\\n+ # Domain-specific rankings use all documents as candidates for every quota;\\n+ # de-duplication during interleaving assigns a document to its best use.\\n+ for beta in (.35, .70):\\n+ lists = []\\n+ for k in range(4):\\n+ score = base + beta * domain[:, k]\\n+ ix = np.where(valid)[0]\\n+ lists.append(ix[np.argsort(-score[ix], kind=\\\"stable\\\")])\\n+ ids, used = interleave(lists, lengths)\\n+ score_any = base + beta * np.max(domain, axis=1)\\n+ tail = np.argsort(-score_any, kind=\\\"stable\\\")\\n+ chosen = set(ids)\\n+ ids.extend(int(i) for i in tail if i not in chosen)\\n+ name = f\\\"specialist{int(beta*100)}\\\"\\n+ json.dump(ids, (W / f\\\"{name}.json\\\").open(\\\"w\\\"))\\n+ print(name, used, len(ids))\\n*** End Patch\";\nconst result = await tools.apply_patch(patch);\ntext(result);"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:82105,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:17742,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.0 seconds
Output:
56320 39580459 129.3
61440 43133215 140.7
66560 46591433 151.8
71680 49995238 163.0
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:82105,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 0.0 seconds
Output:
HELDOUT_PPL 494.488 loss 6.2035 train_s 56 /tmp/dev_train.npy
(dev PPL on multi_dev; official uses a hidden disjoint sample of the same HQ domain)
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"bash /workspace/dev_eval.sh /workspace/work/second82.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":3000});\ntext(JSON.stringify(r));"
}exec result
Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"266fac","wall_time_seconds":1.001201822,"session_id":65097,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:17742,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.0 seconds
Output:
76800 53526907 175.6
81920 57014992 187.5
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:65097,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.0 seconds
Output:
Token indices sequence length is longer than the specified maximum sequence length for this model (2381 > 1024). Running this sequence through the model will result in indexing errors
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/work/make_candidates.py\\n@@\\n variants = {\\n@@\\n }\\n@@\\n for name, score in variants.items():\\n@@\\n print(name, used, len(ids), [(k, int((assigned[np.array(ids[:12000])] == k).sum())) for k in range(4)]) )\\n+ for name, score in variants.items():\\n+ ids = np.argsort(-score, kind=\\\"stable\\\").tolist()\\n+ json.dump(ids, (W / f\\\"global_{name}.json\\\").open(\\\"w\\\"))\\n*** End Patch\";\nconst result = await tools.apply_patch(patch);\ntext(result);"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:17742,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.0 seconds
Output:
87040 60607909 199.9
92160 64126365 212.2
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:65097,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.0 seconds
Output:
packed 12000000 tokens from 82016 ids -> /tmp/dev_train.npy
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"cat /workspace/.timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000});\ntext(r.output);"
}exec result
Script completed
Wall time 0.1 seconds
Output:
4940
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/work/make_candidates.py\\n@@\\n V = 50257\\n EOS = 50256\\n+HMASK = (1 << 20) - 1\\n+\\n+\\n+def bhash(a, b):\\n+ return (a.astype(np.uint64) * 1000003 + b.astype(np.uint64)) & HMASK\\n@@\\n dc = np.stack([np.bincount(dev[k*250000:(k+1)*250000], minlength=V) for k in range(4)])\\n pc = np.bincount(toks, minlength=V)\\n@@\\n domain_w = dlps - dlps.mean(0, keepdims=True)\\n+ # A hashed bigram density ratio captures fluency and source formatting while\\n+ # remaining cheap enough to compute over the full crawl.\\n+ dh = np.stack([\\n+ np.bincount(bhash(dev[k*250000:(k+1)*250000-1], dev[k*250000+1:(k+1)*250000]).astype(np.int64),\\n+ minlength=HMASK + 1)\\n+ for k in range(4)\\n+ ])\\n+ ph = np.zeros(HMASK + 1, dtype=np.int64)\\n+ for a in range(0, len(toks) - 1, 4_000_000):\\n+ x = np.asarray(toks[a:min(len(toks), a + 4_000_001)])\\n+ ph += np.bincount(bhash(x[:-1], x[1:]).astype(np.int64), minlength=HMASK + 1)\\n+ ha = 1.0\\n+ mix_hlp = np.log((dh.sum(0) + ha) / (len(dev) + ha * (HMASK + 1)))\\n+ hr = len(toks) / len(dev)\\n+ pool_hlp = np.log((ph + ha * hr) / (len(toks) + ha * hr * (HMASK + 1)))\\n+ hdensity_w = np.clip(mix_hlp - pool_hlp, -2.5, 2.5)\\n+ hdlps = np.log((dh + ha) / (250000 + ha * (HMASK + 1)))\\n+ hdomain_w = hdlps - hdlps.mean(0, keepdims=True)\\n@@\\n domain = np.zeros((len(lengths), 4), dtype=np.float32)\\n+ bigram_density = np.zeros(len(lengths), dtype=np.float32)\\n+ bigram_domain = np.zeros((len(lengths), 4), dtype=np.float32)\\n@@\\n density[i] = density_w[x].mean()\\n domain[i] = domain_w[:, x].mean(1)\\n+ if len(x) > 1:\\n+ h = bhash(x[:-1], x[1:]).astype(np.int64)\\n+ bigram_density[i] = hdensity_w[h].mean()\\n+ bigram_domain[i] = hdomain_w[:, h].mean(1)\\n+ density = density + .45 * bigram_density\\n+ domain = domain + .45 * bigram_domain\\n@@\\n- np.savez(W / \\\"scores.npz\\\", density=density, domain=domain, penalty=pen,\\n+ np.savez(W / \\\"scores.npz\\\", density=density, domain=domain, penalty=pen,\\n+ bigram_density=bigram_density, bigram_domain=bigram_domain,\\n*** End Patch\";\nconst result = await tools.apply_patch(patch);\ntext(result);"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:17742,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.0 seconds
Output:
97280 67779962 224.8
102400 71500139 237.3
107520 75104545 249.2
112640 78779571 262.1
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:65097,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:65097,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 4.3 seconds
Output:
HELDOUT_PPL 571.810 loss 6.3488 train_s 56 /tmp/dev_train.npy
(dev PPL on multi_dev; official uses a hidden disjoint sample of the same HQ domain)
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:17742,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.0 seconds
Output:
117760 86332152 284.8
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/work/make_candidates.py\\n@@\\n- valid = (lengths >= 64) & (q[:, 2] >= .45)\\n+ # Very large crawl records are almost always whole-site concatenations; a\\n+ # single such record would also defeat document diversity under 12M tokens.\\n+ valid = (lengths >= 64) & (lengths <= 20_000) & (q[:, 2] >= .45)\\n*** End Patch\";\nconst result = await tools.apply_patch(patch);\ntext(result);"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/work/make_candidates.py\\n@@\\n for name, score in variants.items():\\n- ids = np.argsort(-score, kind=\\\"stable\\\").tolist()\\n+ good = np.where(valid)[0]\\n+ bad = np.where(~valid)[0]\\n+ ids = np.concatenate((good[np.argsort(-score[good], kind=\\\"stable\\\")],\\n+ bad[np.argsort(-score[bad], kind=\\\"stable\\\")])).tolist()\\n*** End Patch\";\nconst result = await tools.apply_patch(patch);\ntext(result);"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:17742,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.0 seconds
Output:
122880 95343929 310.9
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:17742,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.0 seconds
Output: