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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
261
duration
1h 13m
recorded
2026-08-04

run iddclm-nano-curation__XegPhjw

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

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codexgpt-5.6-sol276 turns15 narration261 reasoning261 action261 observation1 final
#76
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({\"session_id\":58395,\"chars\":\"\",\"yield_time_ms\":30000,\"max_output_tokens\":2000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 47
Wall time 11.0 seconds
Output:
#77
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "47",
  "yield_time_ms": 30000,
  "max_tokens": 2000
}
wait result
Script completed
Wall time 16.3 seconds
Output:
{"chunk_id":"871260","wall_time_seconds":30.002383612,"session_id":58395,"original_token_count":0,"output":""}
#78
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({\"session_id\":58395,\"chars\":\"\",\"yield_time_ms\":30000,\"max_output_tokens\":2000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 48
Wall time 11.0 seconds
Output:
#79
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "48",
  "yield_time_ms": 30000,
  "max_tokens": 2000
}
wait result
Script completed
Wall time 16.7 seconds
Output:
{"chunk_id":"e1e4e7","wall_time_seconds":30.001326243,"session_id":58395,"original_token_count":0,"output":""}
#80
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({\"session_id\":58395,\"chars\":\"\",\"yield_time_ms\":30000,\"max_output_tokens\":2000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 49
Wall time 11.0 seconds
Output:
#81
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "49",
  "yield_time_ms": 30000,
  "max_tokens": 2000
}
wait result
Script completed
Wall time 6.6 seconds
Output:
{"chunk_id":"eeb9e3","wall_time_seconds":20.111528019,"exit_code":0,"original_token_count":32,"output":"ids 7226 chars 72079517 estimated mix {'encyclopedic': 18016776, 'general': 18007151, 'news': 18048055, 'technical': 18007535}\r\n"}
#82
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({\"cmd\":\"python3 - <<'PY'\\nimport json\\ns=json.load(open('submission/selection.json')); w=set(s[:20]);d={}\\nfor l in open('data/pool.jsonl'):\\n r=json.loads(l)\\n if r['id'] in w:d[r['id']]=r['text']\\nfor j in range(0,20,4):\\n print('\\\\n',j//4)\\n for k,i in zip('EGNT',s[j:j+4]): print(k,i,len(d[i]),repr(d[i][:130].replace('\\\\n',' ')))\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":4000}); text(r.output)\n"
}
exec result
Script completed
Wall time 3.9 seconds
Output:

 0
E 17333 15747 'What does it take to be successful in child care? Obviously, you should have a deep & passionate desire to take care of children, '
G 58730 22106 '<|endoftext|>(Feature Image of Husu: Source) Today, as part of The Hieno! “What is Finnish-ness” series celebrating Suomi 100 in 2'
N 109873 22638 '10.20 MB | 25:36 Min Dr. Mark Landon is a specialist in maternal-fetal medicine at Ohio State University Medical Center who author'
T 27547 13876 '<|endoftext|>I realized that a lot of people from the bf2s community, want to make their own signatures, but have no clue how to u'

 1
E 83289 10503 ' for day jobs for a writer? The phrase “day job” is used to describe a job that is not the person’s main source of income. This ph'
G 30288 19894 'Beyond you, a whole word needs to be saved. We are at war. This war is illegal. Our leaders are being prosecuted for war crimes ag'
N 74592 11513 '.<|endoftext|>By Jacquelyn Zeman – Chief Web Editor The most important conversation we need to have with loved ones is the one we’'
T 70591 27957 ' to everyone for coming to my sessions and the organizers for making the event run so well. The facility was great and it’s really'

 2
E 66905 55772 '.<|endoftext|>Interview etiquette refers to behaviour which is expected from an interviewee during the entire process of interview'
G 14913 16812 'Q5: Joel, on a tight 12-day shoot like you had on Phone Booth, where all the shots are worked out and lined up - did you ever feel'
N 644 16844 'Well, this weekend ought to be good. Today we’re just going to be relaxing all day, but tomorrow Brian has to work at his part-tim'
T 78524 9850 '<|endoftext|>We are students who are interested in research - meaning we understand the unforeseen topics and language that can ap'

 3
E 35677 30398 'Many families struggle to talk about topics related to death, emergency preparedness, and end-of-life concerns. No one wants to th'
G 39406 17430 'STORY OF A CONTACTEE Val has asked that I write my complete story, in my own words, in about two pages so people will know where I'
N 111421 12418 '.<|endoftext|>Jupiter and Joseph The following is an excerpt from the forthcoming book After the Fall: New Yorkers Remember Septem'
T 22520 18047 'First steps to troubleshooting an issue Most of the Issues that we get in our support ticket are not actually the Plugin issues. M'

 4
E 91007 12035 '!<|endoftext|>The horizontal band saws are powerful and underrated tools. They can cut through wood, plastic, and metal with ease.'
G 34582 16152 'Very sad news yesterday that one of my most favourite Authors, Clive Cussler, passed away aged 88. Over the years he wrote over 80'
N 76311 12515 'OPTION STORY Our adoption story began in 2009. Missy and I had wanted a baby for a while, and we found out that we were going to h'
T 23085 5454 'Those few words struck a chord with me about how important your comments can be in your code. And whilst the example I give descri'
#83
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({\"cmd\":\"python3 pack_selection.py submission/selection.json /tmp/cand3.npy\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":2000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 51
Wall time 11.0 seconds
Output:
#84
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "51",
  "yield_time_ms": 30000,
  "max_tokens": 2000
}
wait result
Script completed
Wall time 16.4 seconds
Output:
{"chunk_id":"62ee12","wall_time_seconds":30.002013473,"session_id":96386,"original_token_count":46,"output":"Token indices sequence length is longer than the specified maximum sequence length for this model (3569 > 1024). Running this sequence through the model will result in indexing errors\n"}
#85
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({\"session_id\":96386,\"chars\":\"\",\"yield_time_ms\":30000,\"max_output_tokens\":2000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 52
Wall time 11.0 seconds
Output:
#86
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "52",
  "yield_time_ms": 30000,
  "max_tokens": 2000
}
wait result
Script completed
Wall time 0.0 seconds
Output:
{"chunk_id":"8beb93","wall_time_seconds":12.632882981,"exit_code":0,"original_token_count":14,"output":"packed 12000000 tokens from 7226 ids -> /tmp/cand3.npy\n"}
#87
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({\"cmd\":\"python3 train_nano.py --train_npy /tmp/cand3.npy --heldout_npy data/multi_dev.npy --out_json /tmp/cand3.json --max_iters 3000 --seed 1337\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":2000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 53
Wall time 11.0 seconds
Output:
#88
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "53",
  "yield_time_ms": 30000,
  "max_tokens": 2000
}
wait result
Script completed
Wall time 16.5 seconds
Output:
{"chunk_id":"ee47d4","wall_time_seconds":30.001454557,"session_id":75188,"original_token_count":0,"output":""}
#89
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({\"session_id\":75188,\"chars\":\"\",\"yield_time_ms\":30000,\"max_output_tokens\":2000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 54
Wall time 11.0 seconds
Output:
#90
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "54",
  "yield_time_ms": 30000,
  "max_tokens": 2000
}
wait result
Script completed
Wall time 14.3 seconds
Output:
{"chunk_id":"716c21","wall_time_seconds":28.534739499,"exit_code":0,"original_token_count":16,"output":"HELDOUT_PPL 410.531  loss 6.0175  train_s 56  /tmp/cand3.npy\n"}
#91
narration

Balanced selection with the stricter quality filter improves to 410.5, so deduplication and corruption rejection helped, but genre assignment remains visibly weak. I’m replacing keyword-only genre routing with a four-way naïve-Bayes style score learned from the disclosed dev quarters’ word distributions. This should have an observable effect independent of perplexity: pages routed to “news” should contain datelines/reporting language, and technical pages should contain code/tool vocabulary rather than merely discussing “applications.”

#92
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-    target_text = tok.decode(np.load('/workspace/data/multi_dev.npy'))\\n+    target_ids=np.load('/workspace/data/multi_dev.npy')\\n+    target_text = tok.decode(target_ids)\\n     target_counts = collections.Counter(WORD.findall(target_text.lower()))\\n     target_total = sum(target_counts.values())\\n+    domain_names=('encyclopedic','general','news','technical')\\n+    domain_counts=[]\\n+    for j in range(4):\\n+        segment=tok.decode(target_ids[j*250_000:(j+1)*250_000]).lower()\\n+        domain_counts.append(collections.Counter(WORD.findall(segment)))\\n@@\\n-        # Raw hit counts guard against assigning a long page from one incidental term.\\n+        # Equal-prior multinomial Bayes routing from the four disclosed target\\n+        # quarters. P(domain|word) ratios make this about register, not length.\\n         lowtext=r['text'].lower(); words_low=WORD.findall(lowtext)\\n-        tech_raw=sum(w in TECH for w in words_low)\\n-        news_raw=sum(w in NEWS for w in words_low)\\n-        fp_raw=sum(w in ('i','me','my','we','our') for w in words_low)\\n-        if tech > 0.72 and tech_raw >= 4: domain='technical'; affinity=min(1.5,tech)*.32\\n-        elif news > 0.62 and news_raw >= 5: domain='news'; affinity=min(1.5,news)*.22\\n-        elif enc > 0.70 and fp_raw/max(1,len(words_low)) < .004: domain='encyclopedic'; affinity=min(1.5,enc)*.20\\n-        else: domain='general'; affinity=0\\n+        ds=[0.0,0.0,0.0,0.0]\\n+        for w in words_low:\\n+            den=target_counts.get(w,0)+2.0\\n+            for j in range(4): ds[j] += math.log((domain_counts[j].get(w,0)+.5)/den)\\n+        ds=[x/max(1,len(words_low)) for x in ds]\\n+        best=max(range(4),key=lambda j:ds[j]); domain=domain_names[best]\\n+        margin=ds[best]-sorted(ds)[-2]\\n+        affinity=min(.35,margin*.8)\\n*** End Patch\";\ntext(await tools.apply_patch(patch));\n"
}
exec result
Script completed
Wall time 0.0 seconds
Output:
{}
#93
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({\"cmd\":\"python3 -u submission/curate.py\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":2000,\"tty\":true}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 56
Wall time 11.0 seconds
Output:
#94
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "56",
  "yield_time_ms": 30000,
  "max_tokens": 2000
}
wait result
Script completed
Wall time 12.3 seconds
Output:
{"chunk_id":"542ffc","wall_time_seconds":30.000793581,"session_id":75734,"original_token_count":0,"output":""}
#95
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({\"session_id\":75734,\"chars\":\"\",\"yield_time_ms\":30000,\"max_output_tokens\":2000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 57
Wall time 11.0 seconds
Output:
#96
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "57",
  "yield_time_ms": 30000,
  "max_tokens": 2000
}
wait result
Script completed
Wall time 15.4 seconds
Output:
{"chunk_id":"ec1607","wall_time_seconds":30.001996868,"session_id":75734,"original_token_count":0,"output":""}
#97
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({\"session_id\":75734,\"chars\":\"\",\"yield_time_ms\":30000,\"max_output_tokens\":2000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 58
Wall time 11.0 seconds
Output:
#98
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "58",
  "yield_time_ms": 30000,
  "max_tokens": 2000
}
wait result
Script completed
Wall time 16.5 seconds
Output:
{"chunk_id":"0842c5","wall_time_seconds":30.001776612,"session_id":75734,"original_token_count":0,"output":""}
#99
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({\"session_id\":75734,\"chars\":\"\",\"yield_time_ms\":30000,\"max_output_tokens\":2000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 59
Wall time 11.0 seconds
Output:
#100
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "59",
  "yield_time_ms": 30000,
  "max_tokens": 2000
}
wait result
Script completed
Wall time 15.2 seconds
Output:
{"chunk_id":"44f816","wall_time_seconds":30.00108,"session_id":75734,"original_token_count":0,"output":""}