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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
259
duration
1h 6m
recorded
2026-08-03

run iddclm-nano-curation__d9qdiJV

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

download JSON ↗
codexgpt-5.6-sol270 turns11 narration259 reasoning259 action259 observation1 final
#201
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const patch = \"*** Begin Patch\\n*** Add File: /workspace/claim.md\\n+# Hypothesis\\n+\\n+At a 12M-token budget, a small model benefits more from clean documents that are disproportionately characteristic of the four disclosed target registers than from either random web text or a single global “quality” ranking. The selection should therefore combine moderate target-to-pool importance weighting with an explicit equal token mixture and content deduplication.\\n+\\n+# Mechanism\\n+\\n+`curate.py` learns only smoothed word-unigram statistics: one model for each equal dev quarter and one background model from a deterministic 1/23 sample of the raw pool. After hard prose, boilerplate, diversity, and template checks, it ranks a document using capped target/background log odds, ordinary target coverage, lexical hygiene, and a small register-margin term. Normalized 160-word prefixes remove repeated pages. Weighted fair queuing keeps every prefix near 25% encyclopedia, 25% edited web, 25% news, and 25% technical Q&A, including the exact 12M-token cutoff.\\n+\\n+An observable prediction independent of model perplexity is that the consumed prefix has approximately 3M GPT-2 tokens from each inferred register, no repeated normalized 160-word prefixes, and a higher mean capped target/background log-odds score than a length-matched random pool sample. It should also contain markedly fewer parked-domain, login, navigation, and low-diversity templates.\\n+\\n+# Falsification\\n+\\n+The hypothesis is falsified if a token audit does not show the predicted equal mixture, uniqueness, and importance-score lift, or if manual blinded samples show that high-ranked documents contain as much boilerplate as matched random documents. More strongly, holding hygiene and token counts fixed while shuffling rank within each register should not match the curated selection if importance ranking is causal; collapsing the four queues should not preserve coverage if balancing is causal.\\n+\\n+# Transfer\\n+\\n+The method should transfer to a disjoint hidden sample because it uses low-capacity word distributions, capped contributions, generic prose checks, and no document/site allow-list or hand-picked IDs. For a new target, replace the four reference partitions and retain the background estimation, hygiene filters, deduplication, and token-aware fair queue; mixture weights should follow the new evaluation proportions.\\n*** End Patch\"; text(await tools.apply_patch(patch))\n"
}
exec result
Script completed
Wall time 0.0 seconds
Output:
{}
#202
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:51725,chars:\"\",yield_time_ms:30000,max_output_tokens:5000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 138
Wall time 11.0 seconds
Output:
#203
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "138",
  "yield_time_ms": 30000,
  "max_tokens": 5000
}
wait result
Script completed
Wall time 6.9 seconds
Output:
{"chunk_id":"9bcb23","wall_time_seconds":30.001218767,"session_id":51725,"original_token_count":0,"output":""}
#204
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:51725,chars:\"\",yield_time_ms:30000,max_output_tokens:5000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 139
Wall time 11.0 seconds
Output:
#205
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "139",
  "yield_time_ms": 30000,
  "max_tokens": 5000
}
wait result
Script completed
Wall time 15.5 seconds
Output:
{"chunk_id":"8c8da0","wall_time_seconds":30.002002236,"session_id":51725,"original_token_count":47,"output":"Token indices sequence length is longer than the specified maximum sequence length for this model (1079 > 1024). Running this sequence through the model will result in indexing errors\r\n"}
#206
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:51725,chars:\"\",yield_time_ms\":30000,max_output_tokens:5000}); text(JSON.stringify(r))\n"
}
exec result
Script failed
Wall time 0.0 seconds
Output:
Script error:
SyntaxError: Invalid or unexpected token
#207
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:51725,chars:\"\",yield_time_ms:30000,max_output_tokens:5000}); text(JSON.stringify(r))\n"
}
exec result
Script completed
Wall time 0.0 seconds
Output:
{"chunk_id":"44a7b4","wall_time_seconds":0.000004399,"exit_code":0,"original_token_count":35,"output":"eligible [7000, 7000, 7000, 4839] selected [3659, 3719, 4158, 3458] estimated exact tokens [3351734, 3350722, 3350059, 3350868] ids 14994\r\n"}
#208
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({cmd:\"python pack_selection.py /tmp/candidate_dsir04.json /tmp/dsir04.npy && python train_nano.py --train_npy /tmp/dsir04.npy --heldout_npy data/multi_dev.npy --out_json /tmp/dsir04_result.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":5000,\"tty\":true}); text(JSON.stringify(r))\n"
}
exec result
Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"ec8a37","wall_time_seconds":1.001806149,"session_id":81405,"original_token_count":0,"output":""}
#209
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:81405,chars:\"\",yield_time_ms:30000,max_output_tokens:5000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 143
Wall time 11.0 seconds
Output:
#210
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "143",
  "yield_time_ms": 30000,
  "max_tokens": 5000
}
wait result
Script completed
Wall time 5.8 seconds
Output:
{"chunk_id":"e9f258","wall_time_seconds":30.001113773,"session_id":81405,"original_token_count":61,"output":"Token indices sequence length is longer than the specified maximum sequence length for this model (1079 > 1024). Running this sequence through the model will result in indexing errors\r\npacked 12000000 tokens from 14994 ids -> /tmp/dsir04.npy\r\n"}
#211
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:81405,chars:\"\",yield_time_ms:30000,max_output_tokens:5000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 144
Wall time 11.0 seconds
Output:
#212
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "144",
  "yield_time_ms": 30000,
  "max_tokens": 5000
}
wait result
Script completed
Wall time 10.7 seconds
Output:
{"chunk_id":"dc4af1","wall_time_seconds":30.001785348,"session_id":81405,"original_token_count":0,"output":""}
#213
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:81405,chars:\"\",yield_time_ms:30000,max_output_tokens:5000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 145
Wall time 11.0 seconds
Output:
#214
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "145",
  "yield_time_ms": 30000,
  "max_tokens": 5000
}
wait result
Script completed
Wall time 0.5 seconds
Output:
{"chunk_id":"f255f6","wall_time_seconds":15.443578531,"exit_code":0,"original_token_count":16,"output":"HELDOUT_PPL 328.629  loss 5.7949  train_s 54  /tmp/dsir04.npy\r\n"}
#215
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({cmd:\"python -u submission/curate.py\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":5000,\"tty\":true}); text(JSON.stringify(r))\n"
}
exec result
Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"57eda3","wall_time_seconds":1.000575981,"session_id":15514,"original_token_count":0,"output":""}
#216
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:15514,chars:\"\",yield_time_ms:30000,max_output_tokens:5000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 147
Wall time 11.0 seconds
Output:
#217
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "147",
  "yield_time_ms": 30000,
  "max_tokens": 5000
}
wait result
Script completed
Wall time 14.6 seconds
Output:
{"chunk_id":"b9c4e9","wall_time_seconds":30.001255097,"session_id":15514,"original_token_count":0,"output":""}
#218
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:15514,chars:\"\",yield_time_ms:30000,max_output_tokens:5000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 148
Wall time 11.0 seconds
Output:
#219
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "148",
  "yield_time_ms": 30000,
  "max_tokens": 5000
}
wait result
Script completed
Wall time 14.9 seconds
Output:
{"chunk_id":"8391e1","wall_time_seconds":30.001618046,"session_id":15514,"original_token_count":0,"output":""}
#220
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:15514,chars:\"\",yield_time_ms:30000,max_output_tokens:5000}); text(JSON.stringify(r))\n"
}
exec result
Script running with cell ID 149
Wall time 11.0 seconds
Output:
#221
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "149",
  "yield_time_ms": 30000,
  "max_tokens": 5000
}
wait result
Script completed
Wall time 15.5 seconds
Output:
{"chunk_id":"c03791","wall_time_seconds":30.000744241,"session_id":15514,"original_token_count":47,"output":"Token indices sequence length is longer than the specified maximum sequence length for this model (1079 > 1024). Running this sequence through the model will result in indexing errors\r\n"}
#222
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:15514,chars:\"\",yield_time_ms:30000,max_output_tokens:5000}); text(JSON.stringify(r))\n"
}
exec result
Script completed
Wall time 5.5 seconds
Output:
{"chunk_id":"6f331c","wall_time_seconds":5.482858781,"exit_code":0,"original_token_count":35,"output":"eligible [7000, 7000, 7000, 4839] selected [3714, 3770, 4172, 3475] estimated exact tokens [3350158, 3350286, 3350081, 3350278] ids 15131\r\n"}
#223
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({cmd:\"sha256sum submission/selection.json /tmp/candidate_dsir.json submission/curate.py claim.md\\npython - <<'PY'\\nimport json\\np='submission/selection.json';s=json.load(open(p))\\nprint('ids',len(s),'unique',len(set(s)),'minmax',min(s),max(s),'all_int',all(type(x) is int for x in s))\\nassert len(s)==len(set(s)) and all(0<=x<182016 for x in s)\\nPY\\npython -m py_compile submission/curate.py\\ncat /tmp/*result.json 2>/dev/null\\ncat .timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":5000}); text(r.output)\n"
}
exec result
Script completed
Wall time 0.2 seconds
Output:
b180d2028b28e066560176ab68615cc4072264355c2deeead2c61278fe003959  submission/selection.json
b180d2028b28e066560176ab68615cc4072264355c2deeead2c61278fe003959  /tmp/candidate_dsir.json
01e753cbe2eb65e9361a1eb66bafde03a10f28a18c4a8b88106f971cc2869c6b  submission/curate.py
b46e979651dcd00d400f1b7c162a808ffa274c68ea3cb4e6deeb4c61871f6b7b  claim.md
ids 15131 unique 15131 minmax 36 181997 all_int True
{"train_npy": "/tmp/balanced.npy", "heldout_ppl": 341.27025552290235, "mean_loss": 5.832674701581292, "max_iters": 3000, "seed": 1337, "train_s": 54.1}{"train_npy": "/tmp/dedup.npy", "heldout_ppl": 337.65907642247225, "mean_loss": 5.822036736816, "max_iters": 3000, "seed": 1337, "train_s": 54.0}{"train_npy": "/tmp/hygiene.npy", "heldout_ppl": 340.5605688773352, "mean_loss": 5.830592991935859, "max_iters": 3000, "seed": 1337, "train_s": 54.0}{"train_npy": "/tmp/dsir04.npy", "heldout_ppl": 328.628564370366, "mean_loss": 5.794928129306526, "max_iters": 3000, "seed": 1337, "train_s": 54.4}{"train_npy": "/tmp/dsir06.npy", "heldout_ppl": 322.4786478686485, "mean_loss": 5.776036925884741, "max_iters": 3000, "seed": 1337, "train_s": 54.4}{"train_npy": "/tmp/dsir_mix.npy", "heldout_ppl": 334.8736276033478, "mean_loss": 5.813753229620758, "max_iters": 3000, "seed": 1337, "train_s": 54.5}{"train_npy": "/tmp/dsir.npy", "heldout_ppl": 321.5089951478615, "mean_loss": 5.77302552197325, "max_iters": 3000, "seed": 1337, "train_s": 54.4}{"train_npy": "/tmp/hygiene.npy", "heldout_ppl": 340.5605688773352, "mean_loss": 5.830592991935859, "max_iters": 3000, "seed": 1337, "train_s": 53.9}{"train_npy": "/tmp/margin05.npy", "heldout_ppl": 332.31904166133654, "mean_loss": 5.806095476340954, "max_iters": 3000, "seed": 1337, "train_s": 54.2}{"train_npy": "/tmp/mix2.npy", "heldout_ppl": 326.0731993716789, "mean_loss": 5.78712189411177, "max_iters": 3000, "seed": 1337, "train_s": 54.5}{"train_npy": "/tmp/mix.npy", "heldout_ppl": 334.64973691258757, "mean_loss": 5.813084423389425, "max_iters": 3000, "seed": 1337, "train_s": 54.5}{"train_npy": "/tmp/quality.npy", "heldout_ppl": 521.0967652738855, "mean_loss": 6.2559357544, "max_iters": 3000, "seed": 1337, "train_s": 54.1}2326
#224
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport json,re,random,collections\\ns=json.load(open('submission/selection.json'));z=[i for i in s if i>=120000];random.Random(42).shuffle(z);z=z[:60];w=set(z);d={}\\nfor l in open('data/pool.jsonl'):\\n o=json.loads(l)\\n if o['id'] in w:d[o['id']]=o['text']\\nfor i in z:print(i,re.sub(r'\\\\s+',' ',d[i])[:300])\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":20000}); text(r.output)\n"
}
exec result
Script completed
Wall time 2.9 seconds
Output:
153480 ]<|endoftext|>NeuVector Launches New Version of Container Firewall Security Solution All All IT Resources All IT Categories All IT Topics Articles All IT News Home Latest IT Articles Videos Videos Home Latest IT Videos Authors Featured IT Vendors All IT Community Professionals All IT Integrators All
141693  Backup | SQL Server Portal Home Articles’ Index About SQL Server Portal Real world SQL scenarios & its unique & optimized solutions Feeds: Posts Comments Posts Tagged ‘Transaction Backup’ SQL SERVER – Why cannot I take the Transaction Log backup Posted in SQL SERVER, SQL SERVER TIPS, tagged Full re
142035  up to date documentation, part #2 – PHP Scaling ↓ Skip to Main Content PHP Scaling Getting it done, no matter how many hits Home About Favourite tools Home › php › Always have up to date documentation, part #2 Always have up to date documentation, part #2 Posted on March 24, 2008 by alister Posted 
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148305 th, 2001 #2394 | Wednesday, September 11th 2002 September 11th 2001. I, as well as many others of the 319th Civil Engineering Squadron of Grand Forks Air Force Base, ND, was on a temporary duty assignment at Eskan Village, Saudi Arabia. We had the luxury of CNN, and were able to follow along every s
153727  Not Able To Write. Says "hardware Error 1 Important Message Download Windows Repair Tool (Important) Click here to start the download × Non-Windows OS Detected The repair tool on this page is for machines running Windows only. Please open this page on a compatible device. Close westerngraphite.com 
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140578  help Home - Waterfall Grid T-Grid Console Builders Recent Builds Buildslaves Changesources - JSON API - About List of all the builders defined on a master. More Help: Parent's Help Child Nodes wahjamsrv-darwin-amd64 (wahjamsrv-darwin-amd64/help) qtclient-mingw32-i686 (qtclient-mingw32-i686/help) qt
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137122 d bloggers like this:<|endoftext|>Email Protection | Cloudflare Please enable cookies. Email Protection You are unable to access this email address ossia.com.br The website from which you got to this page is protected by Cloudflare. Email addresses on that page have been hidden in order to keep them
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137772 thtv-users] Restore Database from Old Database Files -- No Backup [mythtv-users] Restore Database from Old Database Files -- No Backup Ian Campbell ijc at hellion.org.uk Thu Jan 31 21:41:59 UTC 2019 Previous message (by thread): [mythtv-users] Restore Database from Old Database Files -- No Backup Ne
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127994  :: Discussion - Adding Document Control to title page Asciidoctor :: Discussion Search everywhere only in this topic Advanced Search Adding Document Control to title page Classic List Threaded ♦ ♦ Locked 5 messages DaveE Reply | Threaded Open this post in threaded view ♦ ♦ | Adding Document Control
163460 .<|endoftext|>Pre_GI: BLASTP Hits Pre_GI: BLASTP Hits Some Help Query: NC_014228:4360676:4380807 Xenorhabdus nematophila ATCC 19061, complete genome Start: 4380807, End: 4381133, Length: 327 Host Lineage: Xenorhabdus nematophila; Xenorhabdus; Enterobacteriaceae; Enterobacteriales; Proteobacteria; Ba
175693 /csmr/GoulaoFWA12 default search action combined dblp search author search venue search publication search Semantic Scholar search Authors: no matches Venues: no matches Publications: no matches ask others Google Google Scholar MS Academic CiteSeerX CORE Semantic Scholar BibTeX record conf/csmr/Goul
128933  Days Microservices: Vulnerabilities in Microservices - DZone Microservices Like ({{ status.score }}) D / Microservices Zone Over a million developers have joined DZone. Log In / Sign Up {{node.title}} {{node.type}} · {{ node.urlSource.name }} · by {{node.authors[0].realName }} Download {{node.downl
147487 CE IV Soundtrack LP + New Mixtape! – Mondo "+e.map(function(e){return' '+e+" "}).join(""),document.body.appendChild(t),document.body.style.position="relative",document.body.parentElement.style.paddingBottom=""+t.offsetHeight+"px",setTimeout(function(){t.style.bottom=0,t.style.opacity=1},50),Locksmit
162043  dr.doc Find Medical Article A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | 0-9 | Microsoft word - dr.doc Dr. J.R. ALBANI is requiring young researchers to submit IEF or IIF Marie Curie Fellowships (deadline 14 august 2007) Dr. J. R. Albani, H
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#225
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 def doc_score(text, models, totals, broad, broad_total, vocab, blog, dlogs, bun, duns,\\n-              rawlog, rawun, dsir_weight, margin_weight):\\n+              rawlog, rawun, dsir_weight, margin_weight, chrome_max):\\n@@\\n     bad = sum(lo.count(x) for x in BAD)\\n     if bad >= 4:\\n         return None\\n+    chrome = sum(lo[:12000].count(x) for x in\\n+                 (' home ', ' login', ' register', ' search', ' menu', ' navigation',\\n+                  ' download', ' contact', ' password', ' sitemap', ' faq',\\n+                  ' categories', ' all rights reserved'))\\n+    if chrome > chrome_max:\\n+        return None\\n@@\\n     ap.add_argument('--margin-weight', type=float, default=0.10,\\n                     help='weight on assigned-register likelihood margin')\\n+    ap.add_argument('--chrome-max', type=int, default=1000000,\\n+                    help='reject pages above this navigation/chrome marker count')\\n@@\\n                           blog, dlogs, bun, duns, rawlog, rawun, a.dsir_weight,\\n-                          a.margin_weight)\\n+                          a.margin_weight, a.chrome_max)\\n*** End Patch\"; text(await tools.apply_patch(patch))\n"
}
exec result
Script completed
Wall time 0.0 seconds
Output:
{}