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
- 267
- duration
- 1h 6m
- recorded
- 2026-08-03
run iddclm-nano-curation__7CCVfar
Everything gpt-5.6-sol did on this task, in order.
download JSON ↗encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "117",
"yield_time_ms": 30000,
"max_tokens": 5000
}wait result
Script completed
Wall time 4.9 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:50044,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script running with cell ID 118
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "118",
"yield_time_ms": 30000,
"max_tokens": 5000
}wait result
Script completed
Wall time 0.0 seconds
Output:
HELDOUT_PPL 324.106 loss 5.7811 train_s 53 /tmp/dev_train.npy
QUARTER 0 PPL 768.529 LOSS 6.6445
QUARTER 1 PPL 268.541 LOSS 5.593
QUARTER 2 PPL 283.268 LOSS 5.6464
QUARTER 3 PPL 188.275 LOSS 5.2379
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python /workspace/pack_selection.py /workspace/experiments/tech5.json /tmp/dev_train.npy && python /workspace/experiments/diag_eval.py --train_npy /tmp/dev_train.npy --heldout_npy /workspace/data/multi_dev.npy --out_json /tmp/diag.json --max_iters 3000 --seed 1337\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":5000});\ntext(JSON.stringify(r));"
}exec result
Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"d6b844","wall_time_seconds":1.000933406,"session_id":25953,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:25953,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script running with cell ID 120
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "120",
"yield_time_ms": 30000,
"max_tokens": 5000
}wait result
Script completed
Wall time 15.4 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 101147 ids -> /tmp/dev_train.npy
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:25953,chars:\"\",yield_time_ms\":30000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script failed
Wall time 0.0 seconds
Output:
Script error:
SyntaxError: Invalid or unexpected tokenencrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:25953,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script running with cell ID 122
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "122",
"yield_time_ms": 30000,
"max_tokens": 5000
}wait result
Script completed
Wall time 14.5 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:25953,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script completed
Wall time 3.3 seconds
Output:
HELDOUT_PPL 336.572 loss 5.8188 train_s 53 /tmp/dev_train.npy
QUARTER 0 PPL 809.866 LOSS 6.6969
QUARTER 1 PPL 271.211 LOSS 5.6029
QUARTER 2 PPL 294.793 LOSS 5.6863
QUARTER 3 PPL 197.685 LOSS 5.2867
Per-quarter diagnostics show the current bottleneck is Wikipedia formatting (PPL ~769), while the technical quarter responds strongly to matched data. A 2.5M/2.5M/3M/4M mix improves aggregate dev PPL to 324.1; pushing technical data further degrades quality. I’m making one final ranking refinement based on GPT-2 token n-grams, which can capture punctuation, wiki markup, and HTML patterns that the word model misses.
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Add File: /workspace/experiments/score_bpe.py\\n+import json, math, random, time\\n+from collections import Counter\\n+import numpy as np\\n+from transformers import GPT2TokenizerFast\\n+\\n+POOL='/workspace/data/pool.jsonl'; DEV='/workspace/data/multi_dev.npy'\\n+tok=GPT2TokenizerFast.from_pretrained('gpt2',local_files_only=True)\\n+dev=np.load(DEV).astype(np.int64)\\n+neg_ids=set(random.Random(20260803).sample(range(182016),12000))\\n+neg=[]\\n+for line in open(POOL):\\n+ d=json.loads(line)\\n+ if d['id'] in neg_ids: neg.append(d['text'][:5000])\\n+enc=[]\\n+for st in range(0,len(neg),512):\\n+ enc.extend(tok(neg[st:st+512],add_special_tokens=False,truncation=True,max_length=1024).input_ids)\\n+print('negative tokenized',len(enc),flush=True)\\n+\\n+counts=[]; totals=[]\\n+for k in range(5):\\n+ seqs=[dev[k*250000:(k+1)*250000].tolist()] if k<4 else enc\\n+ c0=Counter();c1=Counter();n0=n1=0\\n+ for w in seqs:\\n+ c0.update(w);n0+=len(w)\\n+ g=[w[i]*50257+w[i+1] for i in range(len(w)-1)]\\n+ c1.update(g);n1+=len(g)\\n+ counts.append((c0,c1));totals.append((n0,n1))\\n+ print('counts',k,n0,n1,flush=True)\\n+\\n+tabs=[]\\n+for o in range(2):\\n+ vocab={x for k in range(4) for x,c in counts[k][o].items() if c>=3}\\n+ tab={}\\n+ for x in vocab:\\n+ cn=counts[4][o].get(x,0);row=[]\\n+ for k in range(4):\\n+ ct=counts[k][o].get(x,0)\\n+ lr=math.log((ct+.2)/(totals[k][o]+1)/((cn+1)/(totals[4][o]+1)))\\n+ row.append(max(-4.,min(4.,lr)))\\n+ tab[x]=tuple(row)\\n+ tabs.append(tab);print('tab',o,len(tab),flush=True)\\n+\\n+base=np.load('/workspace/experiments/corpus_scores.npz')\\n+valid=(base['nchar']>=600)&(base['nchar']<=40000)&(base['alpha']>=.68)&(base['alpha']<=.9)&(base['digit']<.12)&(base['nav']<.015)&(base['url']<.015)&(base['repeat']<.22)&(base['newline']<.06)&(base['quality']>.35)\\n+scores=np.full((182016,4),-10.,dtype=np.float32)\\n+\\n+def calc(w):\\n+ ans=[0.,0.,0.,0.]\\n+ for o,z in enumerate((w,[w[i]*50257+w[i+1] for i in range(len(w)-1)])):\\n+ sm=[0.,0.,0.,0.]\\n+ for x in z:\\n+ r=tabs[o].get(x)\\n+ if r is not None:\\n+ sm[0]+=r[0];sm[1]+=r[1];sm[2]+=r[2];sm[3]+=r[3]\\n+ wt=(.3 if o==0 else .7)/max(1,len(z))\\n+ for k in range(4):ans[k]+=wt*sm[k]\\n+ return ans\\n+\\n+buf=[];ids=[];t0=time.time()\\n+def flush():\\n+ if not buf:return\\n+ ee=tok(buf,add_special_tokens=False,truncation=True,max_length=1024).input_ids\\n+ for i,w in zip(ids,ee): scores[i]=calc(w)\\n+ buf.clear();ids.clear()\\n+for line in open(POOL):\\n+ d=json.loads(line);i=d['id']\\n+ if valid[i]:buf.append(d['text']);ids.append(i)\\n+ if len(buf)>=512:flush()\\n+ if i and i%20000==0:print('score',i,round(time.time()-t0,1),flush=True)\\n+flush()\\n+np.save('/workspace/experiments/bpe_scores.npy',scores)\\n+print('saved',round(time.time()-t0,1))\\n*** End Patch\";\ntext(await tools.apply_patch(patch));"
}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 /workspace/experiments/score_bpe.py\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":5000});\ntext(JSON.stringify(r));"
}exec result
Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"924a95","wall_time_seconds":1.001248137,"session_id":26365,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:26365,chars:\"\",yield_time_ms\":30000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script failed
Wall time 0.0 seconds
Output:
Script error:
SyntaxError: Invalid or unexpected tokenencrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:26365,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script running with cell ID 127
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "127",
"yield_time_ms": 30000,
"max_tokens": 5000
}wait result
Script completed
Wall time 12.1 seconds
Output:
negative tokenized 12000
counts 0 250000 249999
counts 1 250000 249999
counts 2 250000 249999
counts 3 250000 249999
counts 4 6958658 6946658
tab 0 18623
tab 1 47168
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:26365,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script running with cell ID 128
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "128",
"yield_time_ms": 30000,
"max_tokens": 5000
}wait result
Script completed
Wall time 12.1 seconds
Output:
score 20000 23.1
score 40000 46.5
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:26365,chars:\"\",yield_time_ms\":30000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script failed
Wall time 0.0 seconds
Output:
Script error:
SyntaxError: Invalid or unexpected tokenencrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:26365,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script running with cell ID 130
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "130",
"yield_time_ms": 30000,
"max_tokens": 5000
}wait result
Script completed
Wall time 15.5 seconds
Output:
score 60000 70.4
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:26365,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script running with cell ID 131
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "131",
"yield_time_ms": 30000,
"max_tokens": 5000
}wait result
Script completed
Wall time 15.1 seconds
Output:
score 80000 93.9
score 100000 117.2
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:26365,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script running with cell ID 132
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "132",
"yield_time_ms": 30000,
"max_tokens": 5000
}wait result
Script completed
Wall time 8.9 seconds
Output:
score 120000 141.9