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
- 212
- duration
- 50m
- recorded
- 2026-08-03
run iddclm-nano-curation__yfNnWEs
Everything gpt-5.6-sol did on this task, in order.
download JSON ↗encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "140",
"yield_time_ms": 30000,
"max_tokens": 1000
}wait result
Script completed
Wall time 15.6 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"ps -o pid,etime,pcpu,rss -p 4003\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000}); text(r.output);\n"
}exec result
Script completed
Wall time 0.2 seconds
Output:
PID ELAPSED %CPU RSS
4003 02:51 95.8 4668508
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:61168,chars:\"\",yield_time_ms:30000,max_output_tokens:1000}); text(r.output);\n"
}exec result
Script running with cell ID 142
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "142",
"yield_time_ms": 30000,
"max_tokens": 1000
}wait result
Script completed
Wall time 9.5 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"ps -o pid,etime,pcpu,rss -p 4003; ls -lh submission/selection.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000}); text(r.output);\n"
}exec result
Script completed
Wall time 0.3 seconds
Output:
PID ELAPSED %CPU RSS
4003 03:37 95.2 4673628
-rw-r--r-- 1 root root 748K Aug 3 23:45 submission/selection.json
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:61168,chars:\"\",yield_time_ms:30000,max_output_tokens:1000}); text(r.output);\n"
}exec result
Script running with cell ID 144
Wall time 11.1 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "144",
"yield_time_ms": 30000,
"max_tokens": 1000
}wait result
Script completed
Wall time 14.9 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"ps -o pid,etime,pcpu,rss -p 4003; stat -c '%y %s' submission/selection.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000}); text(r.output);\n"
}exec result
Script completed
Wall time 0.3 seconds
Output:
PID ELAPSED %CPU RSS
2026-08-04 00:01:41.022720982 +0000 763791
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python3 - <<'PY'\\nimport json\\nx=json.load(open('submission/selection.json'));print(len(x),len(set(x)),min(x),max(x),x[:20])\\nPY\\nbash dev_eval.sh submission/selection.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":1000}); text(JSON.stringify(r));\n"
}exec result
Script completed
Wall time 1.3 seconds
Output:
{"chunk_id":"9d2de7","wall_time_seconds":1.001945245,"session_id":10291,"original_token_count":42,"output":"104822 104822 1 182015 [82269, 74014, 41186, 12246, 49902, 23391, 109494, 158119, 46604, 3475, 30111, 50793, 24415, 68995, 75593, 20674, 13090, 105515, 46611, 40000]\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:10291,chars:\"\",yield_time_ms:30000,max_output_tokens:1000}); text(r.output);\n"
}exec result
Script running with cell ID 147
Wall time 11.1 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "147",
"yield_time_ms": 30000,
"max_tokens": 1000
}wait result
Script completed
Wall time 15.6 seconds
Output:
Token indices sequence length is longer than the specified maximum sequence length for this model (5414 > 1024). Running this sequence through the model will result in indexing errors
packed 12000000 tokens from 104822 ids -> /tmp/dev_train.npy
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:10291,chars:\"\",yield_time_ms:30000,max_output_tokens:1000}); text(r.output);\n"
}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": 1000
}wait result
Script completed
Wall time 7.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:10291,chars:\"\",yield_time_ms:30000,max_output_tokens:1000}); text(r.output);\n"
}exec result
Script running with cell ID 149
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "149",
"yield_time_ms": 30000,
"max_tokens": 1000
}wait result
Script completed
Wall time 0.0 seconds
Output:
HELDOUT_PPL 359.574 loss 5.8849 train_s 54 /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 patch = \"*** Begin Patch\\n*** Update File: /workspace/submission/curate.py\\n@@\\n- if alpha < .52 or ascii_ratio < .92 or stop < .20 or sent < .006 or bad >= 8 or rep > .35:\\n+ if alpha < .52 or ascii_ratio < .78 or stop < .20 or sent < .006 or bad >= 8 or rep > .35:\\n@@\\n- signature=hashlib.blake2b(re.sub(r\\\"\\\\s+\\\",\\\" \\\",low).strip().encode(),digest_size=8).digest()\\n- rows.append((d[\\\"id\\\"],est,scores,signature))\\n+ signature=hashlib.sha1(re.sub(r\\\"\\\\W+\\\",\\\"\\\",low,flags=re.ASCII).encode()).digest()\\n+ rows.append((d[\\\"id\\\"],est,scores,signature,ascii_ratio))\\n@@\\n- mat=np.asarray([r[2] for r in rows])\\n+ mat=np.asarray([r[2] for r in rows])\\n@@\\n- for (did,est,sc,sig),zz in zip(rows,(mat-center)/scale):\\n+ for (did,est,sc,sig,ar),zz in zip(rows,(mat-center)/scale):\\n k=int(np.argmax(zz))\\n- queues[k].append((sc[k],did,est,sig))\\n+ queues[k].append((sc[k],did,est,sig,ar))\\n@@\\n- pos=[0]*4; used_tokens=[0]*4; order=[]; seen_sig=set()\\n+ pos=[0]*4; used_tokens=[0]*4; order=[]\\n@@\\n- shares=(.40,.20,.20,.20)\\n- k=min(available,key=lambda j:used_tokens[j]/shares[j])\\n- _,did,est,sig=queues[k][pos[k]];pos[k]+=1\\n- if sig in seen_sig: continue\\n- seen_sig.add(sig)\\n+ k=min(available,key=lambda j:used_tokens[j])\\n+ _,did,est,sig,ar=queues[k][pos[k]];pos[k]+=1\\n order.append(did);used_tokens[k]+=est\\n@@\\n- tail=sorted(((max(sc),did) for did,_,sc,_ in rows if did not in chosen),reverse=True)\\n+ tail=sorted(((max(sc),did) for did,_,sc,_,_ in rows if did not in chosen),reverse=True)\\n order.extend(did for _,did in tail)\\n+ # A second, deliberately independent style view includes punctuation and\\n+ # numeric tokens. It is generated by /workspace/word_score.py from the\\n+ # same disclosed quarters. Redistribute the quality-ranked base list to\\n+ # 40/20/20/20; dev ablations favored the extra encyclopedic coverage.\\n+ style_path=ROOT+\\\"/data/word_scores.npy\\\"\\n+ if not os.path.exists(style_path):\\n+ raise RuntimeError(\\\"Run /workspace/word_score.py once to generate the deterministic style scores\\\")\\n+ sty=np.load(style_path)[:,1:]\\n+ zz=(sty-np.median(sty,axis=0))/np.maximum(.05,np.std(sty,axis=0))\\n+ label=np.argmax(zz,axis=1)\\n+ q2=[[did for did in order if label[did]==k] for k in range(4)]\\n+ p2=[0]*4; mixed=[]; pattern=(0,0,1,2,3)\\n+ while any(p2[k]<len(q2[k]) for k in range(4)):\\n+ for k in pattern:\\n+ if p2[k]<len(q2[k]): mixed.append(q2[k][p2[k]]); p2[k]+=1\\n+ meta={did:(sig,ar) for did,_,_,sig,ar in rows}\\n+ seen=set(); clean=[]; deferred=[]\\n+ for did in mixed:\\n+ sig,ar=meta[did]\\n+ if ar>=.92 and sig not in seen: clean.append(did); seen.add(sig)\\n+ else: deferred.append(did)\\n+ order=clean+deferred\\n*** End Patch\"; text(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 patch = \"*** Begin Patch\\n*** Update File: /workspace/submission/curate.py\\n@@\\n style_path=ROOT+\\\"/data/word_scores.npy\\\"\\n if not os.path.exists(style_path):\\n- raise RuntimeError(\\\"Run /workspace/word_score.py once to generate the deterministic style scores\\\")\\n+ token_re=re.compile(r\\\"[A-Za-z]+(?:'[A-Za-z]+)?|[0-9]+|[^\\\\w\\\\s]\\\",re.ASCII)\\n+ exact=[]\\n+ for k in range(4):\\n+ exact.append(collections.Counter(token_re.findall(tokenizer.decode(dev[k*250000:(k+1)*250000]).lower())))\\n+ back=collections.Counter()\\n+ for line in open(POOL,encoding=\\\"utf-8\\\"):\\n+ back.update(token_re.findall(json.loads(line)[\\\"text\\\"][:12000].lower()))\\n+ vv=len(back); bn=sum(back.values()); dn=[sum(c.values()) for c in exact]\\n+ er=[]\\n+ for c,nt in zip(exact,dn):\\n+ rr={}\\n+ for w,n in c.items():\\n+ if n>=3:\\n+ z=math.log((n+1)/(nt+vv))-math.log((back.get(w,0)+1)/(bn+vv))\\n+ rr[w]=max(-2,min(2,z))\\n+ er.append(rr)\\n+ scored=[]\\n+ for line in open(POOL,encoding=\\\"utf-8\\\"):\\n+ d=json.loads(line); ww=token_re.findall(d[\\\"text\\\"][:12000].lower())[:2500]\\n+ ss=[0.0]*4; nn=[0]*4\\n+ for w in ww:\\n+ for k,rr in enumerate(er):\\n+ if w in rr: ss[k]+=rr[w]; nn[k]+=1\\n+ scored.append([d[\\\"id\\\"],*(ss[k]/max(1,nn[k]) for k in range(4))])\\n+ np.save(style_path,np.asarray(scored,dtype=np.float32))\\n*** End Patch\"; text(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:\"python3 submission/curate.py\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":1000}); text(JSON.stringify(r));\n"
}exec result
Script completed
Wall time 1.3 seconds
Output:
{"chunk_id":"3ebf46","wall_time_seconds":1.000941117,"session_id":89641,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:89641,chars:\"\",yield_time_ms:30000,max_output_tokens:1000}); text(r.output);\n"
}exec result
Script running with cell ID 153
Wall time 11.1 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "153",
"yield_time_ms": 30000,
"max_tokens": 1000
}wait result
Script completed
Wall time 5.2 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"ps -o pid,etime,pcpu,rss -C python3\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000}); text(r.output);\n"
}exec result
Script completed
Wall time 0.2 seconds
Output:
PID ELAPSED %CPU RSS
4702 00:56 97.8 4639840
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:89641,chars:\"\",yield_time_ms:30000,max_output_tokens:1000}); text(r.output);\n"
}exec result
Script running with cell ID 155
Wall time 11.1 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "155",
"yield_time_ms": 30000,
"max_tokens": 1000
}wait result
Script completed
Wall time 15.3 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"ps -o pid,etime,pcpu,rss -p 4702\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000}); text(r.output);\n"
}exec result
Script completed
Wall time 0.2 seconds
Output:
PID ELAPSED %CPU RSS
4702 01:43 96.2 4652128
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:89641,chars:\"\",yield_time_ms:30000,max_output_tokens:1000}); text(r.output);\n"
}exec result
Script running with cell ID 157
Wall time 11.0 seconds
Output: