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
- 222
- duration
- 57m
- recorded
- 2026-08-04
run iddclm-nano-curation__f5FdhJo
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:61688,chars:\"\",yield_time_ms:10000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 10.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:61688,chars:\"\",yield_time_ms:10000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 10.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:61688,chars:\"\",yield_time_ms:10000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script completed
Wall time 0.0 seconds
Output:
density [269674, 3000300, 3000049, 3002312] 182016 [(0, 99), (1, 4683), (2, 5199), (3, 2019)]
density_conf [269674, 3000010, 3000109, 3006942] 182016 [(0, 99), (1, 4754), (2, 5199), (3, 1948)]
density_light [269674, 3000269, 3000371, 3000332] 182016 [(0, 99), (1, 4723), (2, 5198), (3, 1980)]
specialist35 [3000279, 3000521, 3000420, 3000009] 182016
specialist70 [3003293, 3000304, 3000086, 3000553] 182016
lexical7 [3000279, 3001175, 3000208, 3000198] 182016
lexical14 [3000835, 3000220, 3001048, 3000137] 182016
lexical28 [3005797, 3001191, 3000297, 3000294] 182016
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python3 /workspace/work/pack_cache.py /workspace/work/specialist70.json /workspace/work/train_specialist70.npy && python3 /workspace/work/train_diag.py --train_npy /workspace/work/train_specialist70.npy --heldout_npy /workspace/data/multi_dev.npy --out_json /workspace/work/specialist70_eval.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":3000});\ntext(JSON.stringify(r));"
}exec result
Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"0a4c68","wall_time_seconds":1.000745046,"session_id":30135,"original_token_count":11,"output":"packed 12000000 tokens from 17074 documents\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Add File: /workspace/work/make_variants.py\\n+import json\\n+import numpy as np\\n+from make_candidates import interleave\\n+\\n+z = np.load(\\\"/workspace/work/scores.npz\\\")\\n+m = np.load(\\\"/workspace/work/meta.npz\\\")\\n+lengths = z[\\\"lengths\\\"]\\n+base = z[\\\"density\\\"] - z[\\\"penalty\\\"]\\n+domain = z[\\\"domain\\\"]\\n+valid = z[\\\"valid\\\"]\\n+q = m[\\\"quality\\\"]\\n+good = np.where(valid)[0]\\n+\\n+for weight in (.12, .24, .40):\\n+ tech = weight * (np.log1p(q[:, 5]) + .55 * np.log1p(q[:, 6]))\\n+ lists = []\\n+ for k in range(4):\\n+ score = base + .35 * domain[:, k] + (tech if k == 3 else 0)\\n+ lists.append(good[np.argsort(-score[good], kind=\\\"stable\\\")])\\n+ ids, used = interleave(lists, lengths)\\n+ chosen = set(ids)\\n+ tail = np.argsort(-(base + .35 * domain.max(1)), kind=\\\"stable\\\")\\n+ ids += [int(i) for i in tail if i not in chosen]\\n+ name = f\\\"tech{int(weight*100)}\\\"\\n+ json.dump(ids, open(f\\\"/workspace/work/{name}.json\\\", \\\"w\\\"))\\n+ print(name, used)\\n*** End Patch\";\nconst result = await tools.apply_patch(patch);\ntext(result);"
}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:\"PYTHONPATH=/workspace/work python3 /workspace/work/make_variants.py\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":3000});\ntext(r.output);"
}exec result
Script completed
Wall time 5.8 seconds
Output:
tech12 [3000123, 3001288, 3001118, 3000276]
tech24 [3000625, 3000851, 3000117, 3001825]
tech40 [3001080, 3000751, 3000497, 3000602]
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:30135,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script completed
Wall time 0.0 seconds
Output:
Traceback (most recent call last):
File "/workspace/work/train_diag.py", line 2, in <module>
exec(compile(open("/workspace/train_nano.py", "rb").read(),
File "/workspace/train_nano.py", line 4, in <module>
from model import GPT, GPTConfig
ModuleNotFoundError: No module named 'model'
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/work/train_diag.py\\n@@\\n-\\\"\\\"\\\"Run the frozen trainer verbatim, then report losses for the four disclosed quarters.\\\"\\\"\\\"\\n+\\\"\\\"\\\"Run the frozen trainer verbatim, then report losses for the four disclosed quarters.\\\"\\\"\\\"\\n+import sys\\n+sys.path.insert(0, \\\"/workspace\\\")\\n*** End Patch\";\nconst result = await tools.apply_patch(patch);\ntext(result);"
}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 /workspace/work/train_diag.py --train_npy /workspace/work/train_specialist70.npy --heldout_npy /workspace/data/multi_dev.npy --out_json /workspace/work/specialist70_eval.json\",\"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":"7abe9b","wall_time_seconds":1.001343277,"session_id":10187,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"cat /workspace/.timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000});\ntext(r.output);"
}exec result
Script completed
Wall time 0.1 seconds
Output:
4099
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/work/make_variants.py\\n@@\\n for weight in (.12, .24, .40):\\n@@\\n print(name, used)\\n+\\n+# Ablate/interpolate the hashed-bigram signal without retokenizing.\\n+uni_dens = z[\\\"density\\\"] - .45 * z[\\\"bigram_density\\\"]\\n+uni_dom = z[\\\"domain\\\"] - .45 * z[\\\"bigram_domain\\\"]\\n+for bw in (0.0, .2, .75):\\n+ dens = uni_dens + bw * z[\\\"bigram_density\\\"]\\n+ dom = uni_dom + bw * z[\\\"bigram_domain\\\"]\\n+ b = dens - z[\\\"penalty\\\"]\\n+ lists = []\\n+ for k in range(4):\\n+ score = b + .35 * dom[:, k]\\n+ lists.append(good[np.argsort(-score[good], kind=\\\"stable\\\")])\\n+ ids, used = interleave(lists, lengths)\\n+ chosen = set(ids)\\n+ tail = np.argsort(-(b + .35 * dom.max(1)), kind=\\\"stable\\\")\\n+ ids += [int(i) for i in tail if i not in chosen]\\n+ name = f\\\"bigram{int(bw*100)}\\\"\\n+ json.dump(ids, open(f\\\"/workspace/work/{name}.json\\\", \\\"w\\\"))\\n+ print(name, used)\\n*** End Patch\";\nconst result = await tools.apply_patch(patch);\ntext(result);"
}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:\"PYTHONPATH=/workspace/work python3 /workspace/work/make_variants.py\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":3000});\ntext(r.output);"
}exec result
Script completed
Wall time 6.4 seconds
Output:
tech12 [3000123, 3001288, 3001118, 3000276]
tech24 [3000625, 3000851, 3000117, 3001825]
tech40 [3001080, 3000751, 3000497, 3000602]
bigram0 [3000752, 3000105, 3000452, 3000533]
bigram20 [3004257, 3000395, 3000841, 3002033]
bigram75 [3000332, 3001264, 3000117, 3000123]
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:10187,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script running with cell ID 98
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "98",
"yield_time_ms": 20000,
"max_tokens": 5000
}wait result
Script completed
Wall time 8.7 seconds
Output:
HELDOUT_PPL 299.734 loss 5.7029 train_s 56 /workspace/work/train_specialist70.npy
QUARTER 0 loss 6.4882 ppl 657.36
QUARTER 1 loss 5.5789 ppl 264.78
QUARTER 2 loss 5.7386 ppl 310.63
QUARTER 3 loss 5.0025 ppl 148.78
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python3 /workspace/work/pack_cache.py /workspace/work/lexical28.json /workspace/work/train_lexical28.npy && python3 /workspace/work/train_diag.py --train_npy /workspace/work/train_lexical28.npy --heldout_npy /workspace/data/multi_dev.npy --out_json /workspace/work/lexical28_eval.json\",\"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":"50ae86","wall_time_seconds":1.001587913,"session_id":81762,"original_token_count":11,"output":"packed 12000000 tokens from 14422 documents\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/work/make_variants.py\\n@@\\n for bw in (0.0, .2, .75):\\n@@\\n print(name, used)\\n+\\n+for beta in (1.2, 2.0):\\n+ lists = []\\n+ for k in range(4):\\n+ score = base + beta * domain[:, k]\\n+ lists.append(good[np.argsort(-score[good], kind=\\\"stable\\\")])\\n+ for wiki_quota in (3_000_000, 4_200_000):\\n+ rest = (12_000_000 - wiki_quota) // 3\\n+ ids, used = interleave(lists, lengths, (wiki_quota, rest, rest, rest))\\n+ chosen = set(ids)\\n+ tail = np.argsort(-(base + beta * domain.max(1)), kind=\\\"stable\\\")\\n+ ids += [int(i) for i in tail if i not in chosen]\\n+ name = f\\\"strong{int(beta*10)}_w{wiki_quota//100000}\\\"\\n+ json.dump(ids, open(f\\\"/workspace/work/{name}.json\\\", \\\"w\\\"))\\n+ print(name, used)\\n*** End Patch\";\nconst result = await tools.apply_patch(patch);\ntext(result);"
}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:\"PYTHONPATH=/workspace/work python3 /workspace/work/make_variants.py\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":5000});\ntext(r.output);"
}exec result
Script completed
Wall time 7.2 seconds
Output:
tech12 [3000123, 3001288, 3001118, 3000276]
tech24 [3000625, 3000851, 3000117, 3001825]
tech40 [3001080, 3000751, 3000497, 3000602]
bigram0 [3000752, 3000105, 3000452, 3000533]
bigram20 [3004257, 3000395, 3000841, 3002033]
bigram75 [3000332, 3001264, 3000117, 3000123]
strong12_w30 [3000322, 3001795, 3001547, 3000119]
strong12_w42 [4200686, 2601167, 2601662, 2609416]
strong20_w30 [3000579, 3001145, 3000145, 3003758]
strong20_w42 [4200073, 2600384, 2601037, 2600152]
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:81762,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script running with cell ID 102
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "102",
"yield_time_ms": 20000,
"max_tokens": 5000
}wait result
Script completed
Wall time 10.1 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:81762,chars:\"\",yield_time_ms:10000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script completed
Wall time 0.0 seconds
Output:
HELDOUT_PPL 342.379 loss 5.8359 train_s 56 /workspace/work/train_lexical28.npy
QUARTER 0 loss 6.6873 ppl 802.17
QUARTER 1 loss 5.6789 ppl 292.63
QUARTER 2 loss 5.7604 ppl 317.49
QUARTER 3 loss 5.2154 ppl 184.09
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python3 /workspace/work/pack_cache.py /workspace/work/strong12_w30.json /workspace/work/train_strong12_w30.npy && python3 /workspace/work/train_diag.py --train_npy /workspace/work/train_strong12_w30.npy --heldout_npy /workspace/data/multi_dev.npy --out_json /workspace/work/strong12_w30_eval.json\",\"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":"da8199","wall_time_seconds":1.002120946,"session_id":90837,"original_token_count":11,"output":"packed 12000000 tokens from 15358 documents\n"}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:90837,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script running with cell ID 105
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "105",
"yield_time_ms": 20000,
"max_tokens": 5000
}wait result
Script completed
Wall time 2.3 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:90837,chars:\"\",yield_time_ms:10000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script completed
Wall time 10.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:90837,chars:\"\",yield_time_ms:10000,max_output_tokens:5000});\ntext(r.output);"
}exec result
Script completed
Wall time 0.0 seconds
Output:
HELDOUT_PPL 315.561 loss 5.7544 train_s 56 /workspace/work/train_strong12_w30.npy
QUARTER 0 loss 6.6006 ppl 735.55
QUARTER 1 loss 5.6339 ppl 279.74
QUARTER 2 loss 5.7771 ppl 322.81
QUARTER 3 loss 5.0025 ppl 148.79