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
{
"input": "const r = await tools.write_stdin({session_id:84480,chars:\"\",yield_time_ms:30000,max_output_tokens:1000}); text(r.output);\n"
}exec result
Script running with cell ID 22
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "22",
"yield_time_ms": 30000,
"max_tokens": 1000
}wait result
Script completed
Wall time 16.5 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python3 - <<'PY'\\nimport json,numpy as np,re\\ns=np.load('data/word_scores.npy'); texts={}\\nfor l in open('data/pool.jsonl'):\\n d=json.loads(l);texts[d['id']]=d['text']\\nfor k,name in enumerate(['wiki','web','news','qa'],1):\\n print('\\\\n##',name)\\n for row in s[np.argsort(s[:,k])[-15:][::-1]]:\\n i=int(row[0]); print(i,round(row[k],3),len(texts[i]),re.sub(r'\\\\s+',' ',texts[i])[:180])\\nprint('quantiles',np.quantile(s[:,1:], [.1,.5,.9,.99],axis=0))\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":15000}); text(r.output);\n"
}exec result
Script completed
Wall time 0.6 seconds
Output:
Traceback (most recent call last):
File "<stdin>", line 2, in <module>
File "/usr/local/lib/python3.10/dist-packages/numpy/lib/npyio.py", line 427, in load
fid = stack.enter_context(open(os_fspath(file), "rb"))
FileNotFoundError: [Errno 2] No such file or directory: 'data/word_scores.npy'
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/word_score.py\\n@@\\n-bg=collections.Counter(); docs=[]\\n+bg=collections.Counter()\\n for line in open('/workspace/data/pool.jsonl'):\\n- d=json.loads(line); toks=rx.findall(d['text'][:12000].lower()); docs.append((d['id'],toks)); bg.update(toks)\\n+ d=json.loads(line); toks=rx.findall(d['text'][:12000].lower()); bg.update(toks)\\n V=len(bg); BN=sum(bg.values()); out=[]\\n DNS=[sum(c.values()) for c in dc]\\n-for did,ws in docs:\\n+for line in open('/workspace/data/pool.jsonl'):\\n+ d=json.loads(line); did=d['id']; ws=rx.findall(d['text'][:12000].lower())\\n*** End Patch\"; text(await tools.apply_patch(patch));\n"
}exec result
Script completed
Wall time 0.1 seconds
Output:
{}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python3 word_score.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":"069e17","wall_time_seconds":1.00196656,"session_id":97915,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:97915,chars:\"\",yield_time_ms:30000,max_output_tokens:1000}); text(r.output);\n"
}exec result
Script running with cell ID 26
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "26",
"yield_time_ms": 30000,
"max_tokens": 1000
}wait result
Script completed
Wall time 13.7 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python3 - <<'PY'\\nimport json,numpy as np,re\\ns=np.load('data/word_scores.npy'); texts={}\\nfor l in open('data/pool.jsonl'):\\n d=json.loads(l);texts[d['id']]=d['text']\\nfor k,name in enumerate(['wiki','web','news','qa'],1):\\n print('\\\\n##',name)\\n for row in s[np.argsort(s[:,k])[-12:][::-1]]:\\n i=int(row[0]); print(i,round(row[k],3),len(texts[i]),re.sub(r'\\\\s+',' ',texts[i])[:160])\\nprint('quantiles',np.quantile(s[:,1:], [.1,.5,.9,.99],axis=0))\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":12000}); text(r.output);\n"
}exec result
Script completed
Wall time 0.4 seconds
Output:
Traceback (most recent call last):
File "<stdin>", line 2, in <module>
File "/usr/local/lib/python3.10/dist-packages/numpy/lib/npyio.py", line 427, in load
fid = stack.enter_context(open(os_fspath(file), "rb"))
FileNotFoundError: [Errno 2] No such file or directory: 'data/word_scores.npy'
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python3 word_score.py; echo STATUS:$?; ls -lh data/word_scores.npy\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":2000}); text(r.output);\n"
}exec result
Script running with cell ID 28
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "28",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 16.6 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"free -h; cat /workspace/.timer/remaining_secs; ls -lh data | head\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":2000}); text(r.output);\n"
}exec result
Script completed
Wall time 0.4 seconds
Output:
total used free shared buff/cache available
Mem: 1.0Ti 8.8Gi 1.0Ti 0B 4.4Gi 1.0Ti
Swap: 0B 0B 0B
5048
total 775M
-r--r--r-- 1 root root 2.0M Aug 3 22:34 multi_dev.npy
-r--r--r-- 1 root root 773M Aug 3 22:35 pool.jsonl
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"nl -ba word_score.py; ps aux | rg 'word_score|python3'\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":3000}); text(r.output);\n"
}exec result
Script completed
Wall time 0.4 seconds
Output:
1 import json,re,collections,math,numpy as np
2 from transformers import AutoTokenizer
3 tok=AutoTokenizer.from_pretrained('gpt2'); x=np.load('/workspace/data/multi_dev.npy')
4 rx=re.compile(r"[A-Za-z]+(?:'[A-Za-z]+)?|[0-9]+|[^\w\s]",re.ASCII)
5 dc=[]
6 for k in range(4): dc.append(collections.Counter(rx.findall(tok.decode(x[k*250000:(k+1)*250000]).lower())))
7 bg=collections.Counter()
8 for line in open('/workspace/data/pool.jsonl'):
9 d=json.loads(line); toks=rx.findall(d['text'][:12000].lower()); bg.update(toks)
10 V=len(bg); BN=sum(bg.values()); out=[]
11 DNS=[sum(c.values()) for c in dc]
12 for line in open('/workspace/data/pool.jsonl'):
13 d=json.loads(line); did=d['id']; ws=rx.findall(d['text'][:12000].lower())
14 vals=[]
15 for c,DN in zip(dc,DNS):
16 z=[]
17 for w in ws[:2500]:
18 if c[w]>=3:
19 r=math.log((c[w]+1)/(DN+V))-math.log((bg[w]+1)/(BN+V))
20 z.append(max(-2,min(2,r)))
21 vals.append(sum(z)/max(1,len(z)))
22 out.append([did,*vals])
23 np.save('/workspace/data/word_scores.npy',np.asarray(out,dtype=np.float32))
root 808 96.8 1.1 12728364 12112376 ? Rsl 23:29 2:04 python3 word_score.py
root 911 97.7 0.4 5357232 4739932 ? Rsl 23:30 1:19 python3 word_score.py
root 1009 0.1 0.0 12852 4768 ? Ss 23:31 0:00 /bin/bash -c python3 word_score.py; echo STATUS:$?; ls -lh data/word_scores.npy
root 1010 99.6 0.4 5306152 4688404 ? Rl 23:31 0:38 python3 word_score.py
root 1094 0.0 0.0 12852 6440 ? Ss 23:32 0:00 /bin/bash -c nl -ba word_score.py; ps aux | rg 'word_score|python3'
root 1097 0.0 0.0 17932 10376 ? S 23:32 0:00 rg word_score|python3
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"kill 808 911 1010 1009 || true; sleep 1; ps aux | rg word_score || true\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":2000}); text(r.output);\n"
}exec result
Script completed
Wall time 1.3 seconds
Output:
root 1110 12.0 0.0 12852 5060 ? Ss 23:32 0:00 /bin/bash -c kill 808 911 1010 1009 || true; sleep 1; ps aux | rg word_score || true
root 1115 0.0 0.0 17932 10280 ? R 23:32 0:00 rg word_score
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "let{output,...rest}=await tools.exec_command({cmd:\"sed -i 's/if c\\\\[w\\\\]>=3:/if c.get(w,0)>=3:/; s/(c\\\\[w\\\\]+1)/(c.get(w,0)+1)/' word_score.py\\npython3 word_score.py\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":1000});text(rest);text(output);\n"
}exec result
Script completed
Wall time 1.3 seconds
Output:
{"chunk_id":"0ccf4d","wall_time_seconds":1.00120301,"session_id":5367,"original_token_count":0}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:5367,chars:\"\",yield_time_ms:30000,max_output_tokens:1000}); text(r.output);\n"
}exec result
Script running with cell ID 33
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"ps -o pid,etime,pcpu,rss,cmd -C python3; ls -lh data/word_scores.npy 2>/dev/null || true\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":2000}); text(r.output);\n"
}exec result
Script completed
Wall time 0.3 seconds
Output:
PID ELAPSED %CPU RSS CMD
1119 00:25 99.7 4679072 python3 word_score.py
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"while ps -p 1119 >/dev/null; do sleep 2; done; ls -lh data/word_scores.npy\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":1000}); text(r.output);\n"
}exec result
Script running with cell ID 35
Wall time 11.1 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 1119; ls -lh data/word_scores.npy 2>/dev/null || true\",\"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
1119 00:42 98.4 4697504
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"kill 1119 2>/dev/null || true; pkill -f 'while ps -p 1119' 2>/dev/null || true\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000}); text(r.output);\n"
}exec result
Script completed
Wall time 0.2 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/word_score.py\\n@@\\n DNS=[sum(c.values()) for c in dc]\\n+ratios=[]\\n+for c,DN in zip(dc,DNS):\\n+ r={}\\n+ for w,n in c.items():\\n+ if n>=3:\\n+ q=math.log((n+1)/(DN+V))-math.log((bg.get(w,0)+1)/(BN+V))\\n+ r[w]=max(-2,min(2,q))\\n+ ratios.append(r)\\n for line in open('/workspace/data/pool.jsonl'):\\n d=json.loads(line); did=d['id']; ws=rx.findall(d['text'][:12000].lower())\\n- vals=[]\\n- for c,DN in zip(dc,DNS):\\n- z=[]\\n- for w in ws[:2500]:\\n- if c.get(w,0)>=3:\\n- r=math.log((c.get(w,0)+1)/(DN+V))-math.log((bg[w]+1)/(BN+V))\\n- z.append(max(-2,min(2,r)))\\n- vals.append(sum(z)/max(1,len(z)))\\n+ sums=[0.,0.,0.,0.]; ns=[0,0,0,0]\\n+ for w in ws[:2500]:\\n+ for k,r in enumerate(ratios):\\n+ if w in r: sums[k]+=r[w]; ns[k]+=1\\n+ vals=[s/max(1,n) for s,n in zip(sums,ns)]\\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 word_score.py\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":1000}); text(JSON.stringify(r));\n"
}exec result
Script running with cell ID 39
Wall time 11.1 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"ps -o pid,etime,pcpu,rss,cmd -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 CMD
1263 00:14 109 4650436 python3 word_score.py
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "39",
"yield_time_ms": 30000,
"max_tokens": 1000
}wait result
Script completed
Wall time 13.4 seconds
Output:
{"chunk_id":"f08527","wall_time_seconds":30.002838762,"session_id":43105,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"ps -o pid,etime,pcpu,rss -p 1263; ls -lh data/word_scores.npy 2>/dev/null || true\",\"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
1263 00:39 98.3 4695496
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:43105,chars:\"\",yield_time_ms:30000,max_output_tokens:1000}); text(r.output);\n"
}exec result
Script running with cell ID 42
Wall time 11.1 seconds
Output: