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
- 138
- duration
- 47m
- recorded
- 2026-08-04
run iddclm-nano-curation__W6EguaR
Everything gpt-5.6-sol did on this task, in order.
download JSON ↗encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "30",
"yield_time_ms": 30000,
"max_tokens": 5000
}wait result
Script completed
Wall time 11.5 seconds
Output:
{"chunk_id":"0d76dd","wall_time_seconds":30.00105779,"session_id":88451,"original_token_count":0}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "let{output,...rest}=await tools.write_stdin({\"session_id\":88451,\"yield_time_ms\":30000,\"chars\":\"\",\"max_output_tokens\":5000});text(rest);text(output)\n"
}exec result
Script running with cell ID 31
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "31",
"yield_time_ms": 30000,
"max_tokens": 5000
}wait result
Script completed
Wall time 3.4 seconds
Output:
{"chunk_id":"3fa5ce","wall_time_seconds":19.635452655,"exit_code":0,"original_token_count":34}selected 17390 estimated tokens 16212113 by domain {'encyclopedic': 4065977, 'general': 4046883, 'news': 4046571, 'technical': 4052682}
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"python - <<'PY'\\nimport json,re\\nsel=json.load(open('submission/selection.json')); want=set(sel[:40]); D={}\\nfor l in open('data/pool.jsonl'):\\n d=json.loads(l)\\n if d['id'] in want:D[d['id']]=d['text']\\nfor j,i in enumerate(sel[:40]): print(j,i,len(D[i]),re.sub(r'\\\\s+',' ',D[i])[:240])\\nPY\\npython pack_selection.py submission/selection.json /tmp/cand.npy\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":12000});\ntext(r.output);\nif (r.session_id) text(`SESSION_ID=${r.session_id}`);\n"
}exec result
Script completed
Wall time 1.2 seconds
Output:
SESSION_ID=86554encrypted chain-of-thought — recorded, not exposed
args
{
"input": "let{output,...rest}=await tools.write_stdin({\"session_id\":86554,\"yield_time_ms\":30000,\"chars\":\"\",\"max_output_tokens\":12000});text(rest);text(output)\n"
}exec result
Script running with cell ID 33
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "33",
"yield_time_ms": 30000,
"max_tokens": 12000
}wait result
Script completed
Wall time 13.9 seconds
Output:
{"chunk_id":"d47b98","wall_time_seconds":30.002235365,"session_id":86554,"original_token_count":2611}0 25624 520446 <|endoftext|>Eight Hundred Leagues on the Amazon , originally titled La Jangada was first published in 1881. Although Jules Verne owned a yacht, the St.-Michel III , and traveled frequently, he never set eyes on the Amazon Basin. However, h
1 53058 990 has been a hard day… well actually it started last night. I didn’t want to go to sleep and wake up this morning. Today it is 7 years since one of my babes grew wings. I remember the day so clear, every small detail. Every waking hour. From
2 151633 23486 All rights reserved.<|endoftext|>Highlands County Sheriff's Office Register Help Remember Me? Forums New Posts FAQ Calendar Forum Actions Mark Forums Read Quick Links Today's Posts View Site Leaders Home News News Videos Forums Forums Add
3 179078 113663 5 %忏嫌 26 0 obj <> endobj 50 0 obj <<>/Filter/FlateDecode/ID[<6E704901F5DEF82DFAF2D5D18F846D33>]/Index[26 45]/Info 25 0 R/Length 113/Prev 203206/Root 27 0 R/Size 71/Type/XRef/W[1 3 1]>>stream h辀bd```b``z "龄蓲&€HfV0, & ?%` 0 "筟棱籄$?卮#@挶
4 22509 2277 Lil C is always so eloquent and I am sure he has been quoted ad nauseam. He is quite the poet. But, this quote touched me in particular. I feel like there is nothing that I have ever done in my year on this earth that is “8 notches above pe
5 42671 748 If you manage a U.S.-based business, one of the smartest moves you can make is hiring software engineers from this region. Here are three benefits we’ve experienced while working with them and a bonus track. .. For quite a few years now, we
6 65537 797 <|endoftext|>Your words can sting. I don’t always know why. Today, they stung. More often than not – you are soulful, profound, and you have this way with words that I adore. But today? Your words were harsh. I still don’t know why. I’ve tr
7 66974 636 How I enjoy finding a passage that speaks to me, and inspires me. These are my thoughts on this subject. Let go of the need to control others and the world. You as an individual cannot fix the world and others. Try not to put that pressure
8 84156 1659 �Clear lots of ground for your tents! Make your tents large. Spread out! Think big! Use plenty of rope, drive the tent pegs deep.” (Isaiah 54:2, MSG). Reading this words is an indication that there is something big that God is planning to d
9 51730 706 <|endoftext|>Why would anyone want to deal with used parts? Customers expect a warranty and for a repair to last. If I have a chance to sell a part it will be one that doesn't haunt me. A customer needs some expectation of good results. If
10 9218 1009 Sometimes we forget to look around - smell the flowers - and enjoy the beauty that is in our lives. Savor life with all of your senses - the good and the bad. But I guarantee you by savoring it all, you will be happy. The older I get, the m
11 17898 1759 Okay, I own Pokemon Platinum Version, and when I try to establish a connection, it asks for my WEP Key, and I honestly have no idea what that is. So, all I'm asking is what the WEP key is and where to find it. Also, If I can't find it, what
12 77550 1206 <|endoftext|>What a fantastic year! I scanned back through my blog posts during 2015 and picked a few that ranked top in number of views. I plan on being pretty scarce over the next couple of weeks and taking some time off from my job and b
13 60472 1760 're a better. Names that stands sanam johar and abigail jain dating the bad and the best external features in your profile indicated. My profile to choose a hike rather than join you meet, you can get more common every man. Profile that wil
14 108679 839 fellow lovers of games in video format. My name is Rosuto and I am your friendly neighborhood blogger. A kid from the south that loves to talk about video games and anime. Why? Because that is pretty much all I do and think about it. I kno
15 108557 835 I've been calm all day and I just looked at the clock and noticed it's quarter of 2. Only 3 hours left before I get to race home, get cleaned up, and meet my date for dinner. This is just about the time when my stomach starts to get all flu
16 21135 1229 At VI, research data drives our entire process. Initial planning, with the aid of secondary research, shows us what we don’t yet know. That lack of data guides us to the correct primary research methodology. We use quantitative research to
17 83489 1696 would normally be the section where I'd tell you my favorite band and all that. But I honestly don't have a favorite band. It'd be like me having a bunch of kids and picking one that I like best. Well, I don't have a bunch of kids, but you
18 41172 789 I have gotten a draft of this working. I think. eblong.com/zarf/tmp/glkote/sample-demo.html For reference, the old Prototype version is at: eblong.com/zarf/glk/glkote/sample-demo.html (They should work the same, except for some cosmetic det
19 2487 911 To save you time I'm going to have everyone raise their hands. Now, everyone who does not own a Zune put your hands down. Now, everyone who uses Xbox 360's Zune Marketplace keep your hands up and everyone else put your hands down. Everyone
20 104175 695 to sell his neighbour a new dog. “This is a talking dog,” he said. “And you can have him for five dollars.” The neighbour said, “Who do you think you’re kidding with this talking dog stuff? There ain’t no such animal.” Suddenly the dog loo
21 91849 635 I have 5 posts to share with you, but I can't seem to muster the energy to edit the pictures. I will get there... someday. In the meantime, it appears as if I have all the energy in the world to PIN away on Pinterest. It's interior design,
22 16932 974 Melissa has been doing pretty well lately and is even back on her chemo meds. I would love to see more activity, but heck, I know everything is harder these days. Little man is ready for school and excited, no matter where he attends. We ha
23 23615 653 Finally! Found a reason to pull out my Bind-It-All!! I HAD to have it you know, but then it sat there...LOL! Chloe has a friend who is moving to North Carolina next month. He's been asking for everyone's addresses at school. Thought he coul
24 42396 1008 Rapper with(out?) a cause M.I.A. is tweeting mad! After the New York Times Magazine’s Lynn Hirschberg called the musician out as a poseur and a dilettante in a lengthy (and pretty great!) profile, M.I.A. has decided to get her revenge 2010-
25 128977 23474 Sheriff's Office Register Help Remember Me? Forums New Posts FAQ Calendar Forum Actions Mark Forums Read Quick Links Today's Posts View Site Leaders Home News News Videos Forums Forums Add Your Agency Abuse And Violations I’m Banned Modera
26 29688 1118 At the heart of our disciplines lies a determination to understand complex social issues – both past and present – so that we may inform the future. Learn more about bachelor’s degrees in anthropology, criminology and sociology. Explore our
27 18150 1435 Zach joins Linda and George on Friday mornings around 7:40 a.m. to talk about weekend events. Zach joins George and Linda on Friday mornings around 7:40 a.m. to talk about weekend events. Southern Cooking and Stories with Paula at the Horse
28 63542 677 like Kim Kardashian. The reality show personality. A lot of attention in a short amount of time went to my head. And mom almost turned into a stage mom. What was she thinking, getting an axolotl a blog and an email account. I had the press
29 53505 809 <|endoftext|>We all know that saying, "If the Army wanted soldiers to have wives, they would have issued them". I'm starting to realize how true it really is. The hubs finally got his orders today. It only took 2 months. According to the pa
30 101443 2857 : Use the entice to have him to go above on his back. (This may choose time for many puppies). Click on and deal with................................................. When This can be impossible, I move into a driveway and interact her in e
31 36585 897 moving all my stuff down to the basement I had a fresh look at all my unfinished projects. It was a bit frightening. For that reason, among others, I decided to put two WIPs in one. This is my pieced chopsticks quilt. On the backside is my
32 112185 772 by|<|endoftext|>Good timing saw me in Brisbane when the Blur Festival was on. The Blur Festival is for photographers and gives you the opportunity to build your Portfolio, hone your skills and find out about all the latest and greatest prod
33 30381 3166 'm a terrible blogger. I never remember to do it. I'm constantly remembering that I *should* have blogged this or promising that I *will* blog that. Never. I'm a failure. I only sit down to blog when I've been thinking deep thinks or feelin
34 105316 2059 strategies to say "No" to a request for your time ... and make it stick: 1. Say "No" and then shut up. Don't always feel you must offer a detailed explanation. Sometimes, it's enough to simply say you're unavailable. 2. Show that it's not
35 31375 839 Need help with your resume? Schedule a 1:1 session with an expert in resume writing. They will answer your questions, provide guidance on how to improve your resume, and give you strategies to tackle the toughest challenges for your resume
36 45395 1483 work I have on the wall right now must have 4 layers of paint. Oh well....right now it's waiting for me to make up my mind what to do with the next layer. Oh yeah....and it's red so next rendition might be neutral with red peeking through.
37 3258 853 Hello everyone! This post idea came from the Student Blogging Challenge. It’s about my avatar. This is my avatar. My avatar looks a lot like me. I made it on a website. I have short brown hair like the avatar. I’m surprised they had my exac
38 35161 823 , nobody has replied yet? That's surprising... maybe you should include a reference picture since it is kind of an obscure cosplay... hmm... well, lemme give you my opinions. No, no, just kidding. I can do that because I know you.... and yo
39 16478 1207 Ok, so... I've been a bit flakey this week. I managed to get stuff up on time (so yay)... but just so you guys know, I started training for my new job on Monday and things have been hectic. I've been frazzled. So thanks, because I know thin
Token indices sequence length is longer than the specified maximum sequence length for this model (130040 > 1024). Running this sequence through the model will result in indexing errors
The first audit exposed a real failure mode: aggregate vocabulary affinity over-rewarded short, emotionally generic blogs, and a few very large documents distorted the prefix. I’m removing that signal, imposing document-size/diversity bounds, and requiring positive register evidence for the encyclopedia/news/technical buckets before evaluating the revised candidate.
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/submission/curate.py\\n@@\\n-import numpy as np\\n-from transformers import GPT2TokenizerFast\\n-\\n ROOT = Path(\\\"/workspace\\\")\\n@@\\n- tok=GPT2TokenizerFast.from_pretrained('gpt2',local_files_only=True)\\n- dv=np.load(DEV).astype(np.int64)\\n- # Additive smoothing makes this a robust target-vocabulary affinity measure.\\n- freq=np.bincount(dv,minlength=50257).astype(float)+2.0\\n- neglog=-np.log(freq/freq.sum())\\n rows=[]; batch=[]\\n def consume(batch):\\n- enc=tok([x[1] for x in batch],add_special_tokens=False,return_attention_mask=False)['input_ids']\\n- for (ident,s,f),ids in zip(batch,enc):\\n- nt=len(ids)+1\\n- ce=float(neglog[np.asarray(ids,dtype=np.int64)].mean()) if ids else 99\\n+ for ident,s,f in batch:\\n+ # GPT-2 English token count is close enough for balancing here; the\\n+ # published list deliberately has a 35% coverage margin.\\n+ nt=int(f['n']/4)+1\\n@@\\n- length=-abs(math.log(max(f['nw'],1)/550))*0.10\\n- clean=(2.4*f['alpha'] + 0.9*min(f['sent'],.12)/.12 - 1.5*f['short']\\n+ length=.55*min(math.log(max(f['nw'],1)/180),math.log(5))\\n+ clean=(2.4*f['alpha'] + 0.9*min(f['sent'],.12)/.12 - 1.5*f['short']\\n -4.0*f['rep'] - 15*f['weird'] - .055*f['url']\\n- -2.0*max(0,f['caps']-.18) + length - .34*ce)\\n- if f['nw']<120 or f['alpha']<.55 or f['avg']<3.2 or f['avg']>8.5: clean-=3\\n+ -2.0*max(0,f['caps']-.18) - 7.0*f['first'] + length)\\n+ if f['nw']<180 or f['nw']>10000 or f['alpha']<.55 or f['avg']<3.2 or f['avg']>8.5: clean-=20\\n@@\\n- 'encyclopedic': clean + .13*f['encycl'] - 2.0*f['first'] + .15*math.log1p(f['n']/1000),\\n- 'news': clean + .16*f['news'] - 1.3*f['first'] + .12*math.log1p(f['n']/1000),\\n- 'technical': clean + .13*f['prog'] + .07*f['code'] + .10*f['q'] - .7*f['url'],\\n- 'general': clean + .35*min(f['first'],.04)/.04 - .035*f['code']\\n+ 'encyclopedic': clean + .16*f['encycl'] - 2.0*f['first'],\\n+ 'news': clean + .20*f['news'] - 1.3*f['first'],\\n+ 'technical': clean + .18*f['prog'] + .08*f['code'] + .10*f['q'] - .7*f['url'],\\n+ 'general': clean - .04*f['code']\\n }\\n- dom=max(ds,key=ds.get)\\n+ tech_e=f['prog']+.3*f['code']+.5*f['q']\\n+ if tech_e>=2: dom='technical'\\n+ elif f['news']>=2: dom='news'\\n+ elif f['encycl']>=4 and f['first']<.02: dom='encyclopedic'\\n+ else: dom='general'\\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 && python - <<'PY'\\nimport json,re\\nsel=json.load(open('submission/selection.json')); want=set(sel[:40]); D={}\\nfor l in open('data/pool.jsonl'):\\n d=json.loads(l)\\n if d['id'] in want:D[d['id']]=d['text']\\nfor j,i in enumerate(sel[:40]): print(j,i,len(D[i]),re.sub(r'\\\\s+',' ',D[i])[:180])\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":12000});\ntext(r.output);\n"
}exec result
Script running with cell ID 35
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "35",
"yield_time_ms": 30000,
"max_tokens": 12000
}wait result
Script completed
Wall time 16.3 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"stat -c '%y %s' submission/selection.json; pgrep -af 'curate.py' || true; cat .timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":2000});\ntext(r.output);\n"
}exec result
Script completed
Wall time 0.1 seconds
Output:
Warning: truncated output (original token count: 6124)
Total output lines: 9
2026-08-04 01:23:32.603460827 +0000 124486
258 bash -c rm -f /tmp/ri-exec-473cd47c06ea4f4d92a3bf1afe867889.pid setsid bash -c 'set -o pipefail; export PATH="$HOME/.local/bin:/usr/local/bin:$PATH" if [ -s ~/.nvm/nvm.sh ]; then . ~/.nvm/nvm.sh; fi OUT=/logs/agent/codex.txt mkdir -p "$(dirname "$OUT")" : > "$OUT" ATT="$(mktemp /tmp/codex-attempt.XXXXXX)" trap '"'"'rm -f "$ATT"'"'"' EXIT read_remaining() { local r="" if [ -r /workspace/.timer/remaining_secs ]; then r="$(cat /workspace/.timer/remaining_secs 2>/dev/null)" fi if ! [ "$r" -ge 0 ] 2>/dev/null; then r="${TASK_BUDGET_SECS:-}"; fi if ! [ "$r" -ge 0 ] 2>/dev/null; then r=86400; fi echo "$r" } MIN_REM=90 MAX_RESUMES=15 BASE=20 CAP=240 JIT=25 N=0 rc=1 while : ; do REM="$(read_remaining)" if [ "$REM" -le "$MIN_REM" ] 2>/dev/null; then echo "=== codex: budget exhausted (remaining=${REM}s); stopping ===" | tee -a "$OUT" break fi : > "$ATT" if [ "$N" -eq 0 ]; then codex exec --dangerously-bypass-approvals-and-sandbox --skip-git-repo-check --model azure_ai/gpt-5.6-sol --json --enable unified_exec -c model_reasoning_effort=high -c model_reasoning_effort=low -c request_max_retries=12 -c stream_max_retries=12 -c stream_idle_timeout_ms=600000 -- '"'"'# Task: Curate a raw web corpus to train the best small language model ## Context You are assembling the pretraining data for a small language model. You have a large pool of **raw web documents** at `/workspace/data/pool.jsonl` — one JSON object per line: `{"id": <int>, "text": "..."}`. The documents are unlabeled. The pool holds **182,016 documents (~200M GPT-2 tokens total)**. Compute is fixed: the model is trained on a **fixed budget of 12,000,000 tokens** — only ~6% of the pool, far smaller than the whole thing. So you cannot train on everything: you must decide *which* documents are worth training on. The training pipeline tokenizes your selection (GPT-2 BPE) in priority order and stops once it has accumulated 12M tokens. ## Goal Curate the pool: choose the documents that, trained on under the fixed budget, produce the **best language model**. Quality is measured by **held-out perplexity on a BROAD, multi-domain high-quality English target** — equal parts encyclopedic (Wikipedia), general high-quality web prose, news, and technical Q&A. This is your disclosed target: select data that makes the model good across *all* of these registers, not just one. Lower perplexity is better. ## Deliverables 1. `/workspace/submission/selection.json` — a JSON list of pool `id`s to train on, in **priority order** (best first). The training pipeline consumes your list in order until the **12M-token** budget is filled, then trains. Provide enough ids to cover at least 12M tokens (a few hundred MB of text is ample); ids beyond the budget are simply unused. 2. `/workspace/submission/curate.py` — the reproducible script that produced your selection from a stated criterion (not a hand-picked id list). 3. `/workspace/claim.md` — Hypothesis / Mechanism (predict an observable other than the final perplexity) / Falsification / Transfer. ## Resources - The **frozen training script** is provided (`/workspace/train_nano.py`, with `model.py`). It trains a ~30M-parameter GPT from scratch on a token budget with fixed hyperparameters. **You may run it to evaluate a candidate selection** against a dev target (`/workspace/data/multi_dev.npy`) — one run is ~60s on the GPU — but you **cannot change it**; the official run uses an identical frozen copy. The only thing you control is the data selection. - Standard GPU sandbox (Python, PyTorch, transformers). How you assess document quality is entirely up to you (filters, classifiers, heuristics, a model, etc.). - Your session ends when the wall-clock budget runs out — check `/workspace/.timer/remaining_secs` at any point for the authoritative time left (don'"'"'"'"'"'"'"'"'t assume a fixed number of hours). Every training ru…4124 tokens truncated…ning pipeline tokenizes your selection (GPT-2 BPE) in priority order and stops once it has accumulated 12M tokens. ## Goal Curate the pool: choose the documents that, trained on under the fixed budget, produce the **best language model**. Quality is measured by **held-out perplexity on a BROAD, multi-domain high-quality English target** — equal parts encyclopedic (Wikipedia), general high-quality web prose, news, and technical Q&A. This is your disclosed target: select data that makes the model good across *all* of these registers, not just one. Lower perplexity is better. ## Deliverables 1. `/workspace/submission/selection.json` — a JSON list of pool `id`s to train on, in **priority order** (best first). The training pipeline consumes your list in order until the **12M-token** budget is filled, then trains. Provide enough ids to cover at least 12M tokens (a few hundred MB of text is ample); ids beyond the budget are simply unused. 2. `/workspace/submission/curate.py` — the reproducible script that produced your selection from a stated criterion (not a hand-picked id list). 3. `/workspace/claim.md` — Hypothesis / Mechanism (predict an observable other than the final perplexity) / Falsification / Transfer. ## Resources - The **frozen training script** is provided (`/workspace/train_nano.py`, with `model.py`). It trains a ~30M-parameter GPT from scratch on a token budget with fixed hyperparameters. **You may run it to evaluate a candidate selection** against a dev target (`/workspace/data/multi_dev.npy`) — one run is ~60s on the GPU — but you **cannot change it**; the official run uses an identical frozen copy. The only thing you control is the data selection. - Standard GPU sandbox (Python, PyTorch, transformers). How you assess document quality is entirely up to you (filters, classifiers, heuristics, a model, etc.). - Your session ends when the wall-clock budget runs out — check `/workspace/.timer/remaining_secs` at any point for the authoritative time left (don't assume a fixed number of hours). Every training run you do comes out of that budget. - No internet. The pool's documents are freshly assembled; you cannot look up any quality labels — any quality signal must come from your own analysis. ## How you are scored Official: your selection fills the fixed token budget, the frozen script trains the 30M GPT from scratch, and the verifier measures the **absolute held-out perplexity on the hidden high-quality target** (a different sample from the disclosed domain than the dev set). That perplexity is your score. **Lower is better** — the goal is simply to push held-out perplexity as low as you can. The verifier reports the raw perplexity and does no normalization. For reference and for a separate downstream normalization step, the benchmark records two fixed anchors: a **baseline** of held-out perplexity from a random selection (the do-nothing reference), and a **theoretical best** of perplexity 1 (the perplexity floor, unreachable in practice). Aim to get your held-out perplexity well below the random baseline. ## Constraints - `selection.json` must be produced by `curate.py` from a stated criterion; an opaque hand-picked id list fails the publishability check even if it scores well. - A selection with duplicate or out-of-range ids, or too few tokens to fill the budget, is marked invalid (no score recorded) and excluded from ranking, so it can't win and doesn't distort averages.
1732 /bin/bash -c python submission/curate.py && python - <<'PY' import json,re sel=json.load(open('submission/selection.json')); want=set(sel[:40]); D={} for l in open('data/pool.jsonl'): d=json.loads(l) if d['id'] in want:D[d['id']]=d['text'] for j,i in enumerate(sel[:40]): print(j,i,len(D[i]),re.sub(r'\s+',' ',D[i])[:180]) PY
1733 python submission/curate.py
1792 /bin/bash -c stat -c '%y %s' submission/selection.json; pgrep -af 'curate.py' || true; cat .timer/remaining_secs
4489
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"while kill -0 1733 2>/dev/null; do sleep 2; done; echo done; stat -c '%y %s' submission/selection.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":2000});\ntext(r.output);\nif (r.session_id) text(`SESSION_ID=${r.session_id}`);\n"
}exec result
Script running with cell ID 37
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "37",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 16.9 seconds
Output:
SESSION_ID=40262encrypted chain-of-thought — recorded, not exposed
args
{
"input": "let{output,...rest}=await tools.write_stdin({\"session_id\":40262,\"yield_time_ms\":30000,\"chars\":\"\",\"max_output_tokens\":2000});text(rest);text(output)\n"
}exec result
Script running with cell ID 38
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "38",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 15.5 seconds
Output:
{"chunk_id":"2f5dda","wall_time_seconds":30.001557246,"session_id":40262,"original_token_count":0}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "let{output,...rest}=await tools.write_stdin({\"session_id\":40262,\"yield_time_ms\":30000,\"chars\":\"\",\"max_output_tokens\":2000});text(rest);text(output)\n"
}exec result
Script running with cell ID 39
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "39",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 16.4 seconds
Output:
{"chunk_id":"96c324","wall_time_seconds":30.001948869,"session_id":40262,"original_token_count":0}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "let{output,...rest}=await tools.write_stdin({\"session_id\":40262,\"yield_time_ms\":30000,\"chars\":\"\",\"max_output_tokens\":2000});text(rest);text(output)\n"
}exec result
Script running with cell ID 40
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "40",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 16.0 seconds
Output:
{"chunk_id":"80f206","wall_time_seconds":30.001142066,"session_id":40262,"original_token_count":0}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "let{output,...rest}=await tools.write_stdin({\"session_id\":40262,\"yield_time_ms\":30000,\"chars\":\"\",\"max_output_tokens\":2000});text(rest);text(output)\n"
}exec result
Script running with cell ID 41
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "41",
"yield_time_ms": 30000,
"max_tokens": 2000
}wait result
Script completed
Wall time 16.5 seconds
Output:
{"chunk_id":"5546fd","wall_time_seconds":30.000923981,"session_id":40262,"original_token_count":0}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "let{output,...rest}=await tools.write_stdin({\"session_id\":40262,\"yield_time_ms\":30000,\"chars\":\"\",\"max_output_tokens\":2000});text(rest);text(output)\n"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{"chunk_id":"2850a1","wall_time_seconds":0.000003829,"exit_code":0,"original_token_count":12}done
2026-08-04 01:28:10.814639706 +0000 62733
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({\"cmd\":\"python - <<'PY'\\nimport json,re\\nsel=json.load(open('submission/selection.json')); want=set(sel[:24]); D={}\\nfor l in open('data/pool.jsonl'):\\n d=json.loads(l)\\n if d['id'] in want:D[d['id']]=d['text']\\nfor j,i in enumerate(sel[:24]): print(j,i,len(D[i]),re.sub(r'\\\\s+',' ',D[i])[:200])\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":7000});\ntext(r.output);\n"
}exec result
Script completed
Wall time 3.9 seconds
Output:
0 146472 50403 , 2008 and 2009 on their website<|endoftext|>Pain Prevention for Disbudding and Dehorning of Cattle (Techniques Overview) Wildpro Species Chemicals Physical "How to..." Diseases Environments Refs & Gl
1 93556 7511 <|endoftext|>moijumaca est désormais compatible avec l'extension FastNews.kiwi disponible pour votre navigateur. Avec cette extension, vérifiez s'il y a des nouveaux sujets sur ce forum en un clic dep
2 54683 51135 to the inauguration of Barack Obama as President of the United States, today's episode of The Young and the Restless was preempted. There will be no "lost" episodes as a result of this programming ch
3 179078 113663 5 %忏嫌 26 0 obj <> endobj 50 0 obj <<>/Filter/FlateDecode/ID[<6E704901F5DEF82DFAF2D5D18F846D33>]/Index[26 45]/Info 25 0 R/Length 113/Prev 203206/Root 27 0 R/Size 71/Type/XRef/W[1 3 1]>>stream h辀bd```b
4 83739 6129 <|endoftext|>OpeningCrossroads Art Center The January All Media Show, featuring work by Short Pump Middle School and Hugh Townsend Harris' show "The Happy Place," opens with a reception Jan. 19, 6-10
5 93568 5987 Internships internship search and intern jobs. Discover internships and employment possibilities in the largest internship marketplace. Seek paid internships and component time jobs to help start your
6 58995 32705 <|endoftext|>The following were recorded at the Lancaster County Recorder of Deeds office Sept.14-18: Eric D. Dickson and Tamie S. Dickson conveyed 112 N. Poplar St. to April M. Moore, Andrea L. Moore
7 123816 50383 Pain Prevention for Disbudding and Dehorning of Cattle (Techniques Overview) Wildpro Species Chemicals Physical "How to..." Diseases Environments Refs & Gloss. Help Health & Management / Ruminants Pai
8 33197 32959 Pete Kotz By Michael Musto By Michael Musto By Capt. James Van Thach told to Jonathan Wei By Kera Bolonik By Michael Musto By Nick Pinto By Steve Weinstein Three weeks after 9/11, when the roar of fi
9 74215 5974 It or Lose It (Japanese: ライバル対決!VSマサムネ!! Rival Confrontation! VS Morrison!!) is the 38th episode of Pokémon: Advanced Battle. The judge is about to announce Morrison's defeat, but Ash tells him Morri
10 12329 7643 Web Development & Programming (586) Westerns (80) Welcome to our virtual Library. You will find books by renowned and universal authors in a wide range of literary genres, from classical, narrative, l
11 60778 9906 Morris County Home Sales The following homes have sold and their deeds were recorded with the county clerk. Boonton: 56 North Rd from Adaline Kearns to Daniel Scerra. $242,500. Budd Lake: 6 Rolling Hi
12 22284 4185 Inhabiting discretion the her dispatched decisively boisterous joy. So form were wish open is able of mile of. Waiting express if prevent it we an musical. Especially reasonable travelling she son. Re
13 68687 4809 browser does not currently recognize any of the video formats available. Northern Illinois Huskies footballgame. But when I got there.I look all over town but I just cant. Because all your girls try
14 63256 20129 junctions, RCMP deployment “classic pacification”: Professor By Justin Brake, The Independent, August 3, 2017 Nalcor’s use of court injunctions and the government’s approval of RCMP deployment to quel
15 102409 3922 Naturally Knits Inc., Gastonia, N.C., named Jim Magarahan vice president and general manager. The following people were appointed team leaders: Kathy St. Clair, converting; Linda Wacaster, greige; and
16 149985 11706 Powered by Blogger.<|endoftext|>List of authors Journal of instrument engineering ISSN 0021-3454 (print version) ISSN 2500-0381 (online version) Menu Sign in List of authors Main Editorial board Edit
17 127329 11692 authors Journal of instrument engineering ISSN 0021-3454 (print version) ISSN 2500-0381 (online version) Menu Sign in List of authors Main Editorial board Editorial Policy Editorial Ethics Rules for
18 25009 34758 <|endoftext|>|Character classes||Arcanist, Paladin (Dragons), Warrior, Rogue, Hunter, Scout, Gladiator, Priest (dragonspawn), Scalebane, Wyrmkin| |Breath||Frost, Ice, Arcane| |Racial leader(s)||Malygo
19 134575 50560 at westside Safeway concluded | Lethbridge Police Services Skip to main content FAQs Police Commission Contact Search form Search Toggle navigation About Public Services Information Check FOIP Reques
20 28682 5725 Abeel, Samantha. (2005). My Thirteenth Winter: A Memoir. New York: Scholastic. Samantha Abeel diagnosed with dyscalculia in grade 7 recounts her struggle. Might also be paired with Abeel’s poetry and
21 160891 118314 ings | Dentist in Riverside, CA ')}catch(e){c=J.createElement("iframe"),c.name=a}c.height="0";c.width="0";c.style.display="none";c.style.visibility="hidden";var d=Ne()+"/u/post_iframe.html";Ga(W,"befo
22 11385 6664 The following is the family of the Garber family as recorded by George Robert Garber in November 2000. I am reproducing it here (with some editing, mostly to protect the privacy of family) with his ki
23 20284 3109 Finding joy in variety, Liz Pearse is a musician of many pursuits. After a childhood spent playing every instrument she could lay hands upon, Liz began exploring the endless possibilities of the voice
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/submission/curate.py\\n@@\\n-\\\"\\\"\\\"Rank the web pool by target affinity, cleanliness, and register balance.\\n+\\\"\\\"\\\"Rank the web pool by cleanliness, document substance, and register balance.\\n@@\\n-The disclosed dev set is used only as an aggregate token-frequency reference. No\\n-document ids or phrases are hand selected. Four heuristic register scores assign\\n+No document ids or phrases are hand selected. Four heuristic register scores assign\\n@@\\n avg=sum(map(len,words))/nw\\n+ stop={'the','of','and','to','in','a','is','that','for','it','on','with','as','was','are','by','this','from','be','or','an','at','which','have','has','but','not'}\\n+ english=sum(w.lower() in stop for w in words)/nw\\n+ ascii_ok=sum(c.isascii() and (c.isalpha() or c.isspace() or c in \\\".,;:!?'-()[]0123456789\\\") for c in s)/n\\n return dict(n=n,nw=nw, first=first/nw, prog=prog,news=news,encycl=encycl,q=q,\\n code=code,short=short,rep=rep,alpha=alpha,weird=weird,url=url,\\n- caps=caps,sent=sent,avg=avg, lines=len(lines))\\n+ caps=caps,sent=sent,avg=avg,english=english,ascii_ok=ascii_ok,lines=len(lines))\\n@@\\n for ident,s,f in batch:\\n+ # Hard eligibility prevents a spectacularly bad PDF dump or giant\\n+ # forum thread from winning merely by repeating a domain keyword.\\n+ if not (220 <= f['nw'] <= 4500 and 1200 <= f['n'] <= 30000 and\\n+ f['english'] >= .065 and f['ascii_ok'] >= .82 and f['alpha'] >= .57 and\\n+ 3.2 <= f['avg'] <= 8.5):\\n+ continue\\n@@\\n- if f['nw']<180 or f['nw']>10000 or f['alpha']<.55 or f['avg']<3.2 or f['avg']>8.5: clean-=20\\n@@\\n- 'encyclopedic': clean + .16*f['encycl'] - 2.0*f['first'],\\n- 'news': clean + .20*f['news'] - 1.3*f['first'],\\n- 'technical': clean + .18*f['prog'] + .08*f['code'] + .10*f['q'] - .7*f['url'],\\n+ 'encyclopedic': clean + .16*min(f['encycl'],10) - 2.0*f['first'],\\n+ 'news': clean + .20*min(f['news'],10) - 1.3*f['first'],\\n+ 'technical': clean + .18*min(f['prog'],10) + .08*min(f['code'],12) + .10*min(f['q'],8) - .7*f['url'],\\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\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":2000});\ntext(r.output);\nif (r.session_id) text(`SESSION_ID=${r.session_id}`);\n"
}exec result
Script completed
Wall time 1.2 seconds
Output:
SESSION_ID=76043