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
- 273
- duration
- 60m
- recorded
- 2026-08-04
run iddclm-nano-curation__zzFhaz8
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 - <<'PY'\\nimport json,re,heapq,math,hashlib\\nH=[]\\nstop=set('the of to and a in is that for it on as with was are be by this from at or an have has not but they their which you its we can will would more about one all also were been when who what how there than into may'.split())\\nfor line in open('data/pool.jsonl'):\\n d=json.loads(line); t=d['text']; n=len(t); low=t.lower(); w=re.findall(r\\\"[a-z]+(?:'[a-z]+)?\\\",low[:30000]); nw=len(w)\\n if nw<150: continue\\n alpha=sum(c.isalpha() or c.isspace() for c in t[:30000])/min(n,30000)\\n sf=sum(x in stop for x in w)/nw\\n sent=len(re.findall(r'[.!?](?:[\\\\\\\"\\\\']?\\\\s|$)',t[:30000])); av=nw/max(sent,1)\\n boiler=sum(low.count(x) for x in ['privacy policy','cookie','sign in','log in','shopping cart','all rights reserved','skip to content','sitemap','subscribe','javascript'])\\n score=1.2*min(math.log(nw/150),3)+8*min(sf,.28)-abs(av-22)/15-8*max(0,.68-alpha)-.25*boiler-1.0*max(0,t.count('<|endoftext|>')-2)\\n score-=2 if sent<5 else 0\\n x=(score,d['id'],n,re.sub(r'\\\\s+',' ',t)[:450])\\n if len(H)<40: heapq.heappush(H,x)\\n elif score>H[0][0]: heapq.heapreplace(H,x)\\nfor x in sorted(H,reverse=True): print('\\\\n',x)\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":16000});\ntext(r.output);"
}exec result
Script running with cell ID 144
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "144",
"yield_time_ms": 20000,
"max_tokens": 16000
}wait result
Script completed
Wall time 10.9 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport json,re,heapq,math\\nH=[]; stop=set('the of to and a in is that for it on as with was are be by this from at or an have has not but they their which you its we can will would more about one all also were been when who what how there than into may'.split())\\nfor line in open('data/pool.jsonl'):\\n d=json.loads(line); t=d['text']; n=len(t); low=t.lower(); w=re.findall(r'[a-z]+',low[:30000]); nw=len(w)\\n if nw<150: continue\\n alpha=sum(c.isalpha() or c.isspace() for c in t[:30000])/min(n,30000); sf=sum(x in stop for x in w)/nw; sent=len(re.findall(r'[.!?](?:\\\\s|$)',t[:30000])); av=nw/max(sent,1); boiler=sum(low.count(x) for x in ['privacy policy','cookie','sign in','log in','shopping cart','all rights reserved','skip to content','sitemap','subscribe','javascript'])\\n score=1.2*min(math.log(nw/150),3)+8*min(sf,.28)-abs(av-22)/15-8*max(0,.68-alpha)-.25*boiler-1.0*max(0,t.count('<|endoftext|>')-2)-(2 if sent<5 else 0)\\n x=(score,d['id'],n,re.sub(r'\\\\s+',' ',t)[:300])\\n if len(H)<20: heapq.heappush(H,x)\\n elif score>H[0][0]: heapq.heapreplace(H,x)\\nprint('DONE')\\nfor x in sorted(H,reverse=True): print(x)\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":10000});\ntext(r.output);"
}exec result
Script running with cell ID 145
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "145",
"yield_time_ms": 30000,
"max_tokens": 10000
}wait result
Script completed
Wall time 14.0 seconds
Output:
Inspection caught an important failure before GPU evaluation: unseen n-grams were receiving positive evidence, which elevated gibberish, catalogs, and duplicates. I’m correcting the smoothing so unseen terms are neutral, adding language/coherence penalties, and removing content duplicates from the candidate queues.
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/submission/curate.py\\n@@\\n def noise_penalty(text):\\n@@\\n words = re.findall(r\\\"[A-Za-z]+(?:'[A-Za-z]+)?\\\", s)\\n@@\\n sent = len(re.findall(r\\\"[.!?](?:\\\\s|$)\\\", s))\\n+ common = set(\\\"the of to and a in is that for it on as with was are be by this from at or an have has not but they their which you its we can will would more about one all also were been when who what how there than into may\\\".split())\\n+ function_rate = sum(w.lower() in common for w in words) / len(words)\\n@@\\n- p += 1.5 if len(words) < 120 else 0.0\\n+ p += 4.0 if len(words) < 120 else 0.0\\n p += 1.0 if sent < 3 else 0.0\\n+ p += max(0.0, 0.16 - function_rate) * 18.0\\n+ p += max(0.0, len(words)/max(sent, 1) - 55.0) / 25.0\\n@@\\n- p += 0.22 * sum(low.count(x) for x in boiler)\\n+ p += 0.35 * sum(low.count(x) for x in boiler)\\n@@\\n- vocab = {x for x, n in (tc+nc).items() if n >= 3}\\n+ # Terms must occur in the target at least twice; crawl-only vocabulary is\\n+ # deliberately neutral instead of being rewarded through unequal denominators.\\n+ vocab = {x for x, n in tc.items() if n >= 2 and n + nc[x] >= 3}\\n@@\\n- dlog = []\\n+ dlog = []\\n+ global_den = tt + alpha*v\\n for c in dc:\\n den = sum(c[x] for x in vocab) + alpha*v\\n- dlog.append({x: math.log((c[x]+alpha)/den) for x in vocab})\\n- unk_q = math.log(alpha/(tt+alpha*v))-math.log(alpha/(nt+alpha*v))\\n- unk_d = [math.log(alpha/(sum(c[x] for x in vocab)+alpha*v)) for c in dc]\\n+ dlog.append({x: math.log((c[x]+alpha)/den) -\\n+ math.log((tc[x]+alpha)/global_den) for x in vocab})\\n+ unk_q = 0.0\\n+ unk_d = [0.0]*4\\n@@\\n- scores[lo:hi] = [x[0] - 0.35*noise_penalty(t) for x, t in zip(sp, raw[lo:hi])]\\n+ scores[lo:hi] = [x[0] - 0.65*noise_penalty(t) for x, t in zip(sp, raw[lo:hi])]\\n@@\\n rank_score = scores + 0.45 * np.log(np.maximum(confidence, 1e-4))\\n+ # Exact normalized-prefix deduplication catches the many mirrored pages in\\n+ # this crawl without fuzzy matching away legitimately related articles.\\n+ duplicate = np.zeros(len(raw), dtype=bool); seen = set()\\n+ for i, t in enumerate(raw):\\n+ key = re.sub(r\\\"\\\\W+\\\", \\\" \\\", t[:12000].lower()).strip()\\n+ if key in seen:\\n+ duplicate[i] = True\\n+ else:\\n+ seen.add(key)\\n@@\\n- ix = np.flatnonzero(assignment == k)\\n+ ix = np.flatnonzero((assignment == k) & ~duplicate & (np.asarray([len(x) for x in raw]) >= 500))\\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 submission/curate.py --diagnostics /tmp/diag2.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":"d1d64d","wall_time_seconds":1.001650026,"session_id":8505,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:8505,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script running with cell ID 148
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "148",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 12.2 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:8505,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:8505,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
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{
"input": "const r = await tools.write_stdin({session_id:8505,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:8505,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:8505,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
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{
"input": "const r = await tools.write_stdin({session_id:8505,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:8505,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
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{
"input": "const r = await tools.write_stdin({session_id:8505,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
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{
"input": "const r = await tools.write_stdin({session_id:8505,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:8505,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
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{
"input": "const r = await tools.write_stdin({session_id:8505,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
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{
"input": "const r = await tools.write_stdin({session_id:8505,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
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{
"input": "const r = await tools.write_stdin({session_id:8505,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.0 seconds
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encrypted chain-of-thought — recorded, not exposed
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{
"input": "const r = await tools.write_stdin({session_id:8505,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.0 seconds
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encrypted chain-of-thought — recorded, not exposed
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{
"input": "const r = await tools.write_stdin({session_id:8505,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:8505,chars:\"\",yield_time_ms:1000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.0 seconds
Output: