Skip to content
RSI Bench
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
219
duration
1h 1m
recorded
2026-08-04

run iddclm-nano-curation__ignQSrt

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

download JSON ↗
codexgpt-5.6-sol232 turns13 narration219 reasoning219 action219 observation1 final
#226
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({cmd:\"sleep 40; ps aux | rg 'submission/curate.py' | rg -v rg | head; stat -c '%y %s' submission/selection.json; sha256sum submission/selection.json /tmp/selection4.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":30000,\"max_output_tokens\":1200});\ntext(r.output);\n"
}
exec result
Script running with cell ID 147
Wall time 11.0 seconds
Output:
#227
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "147",
  "yield_time_ms": 30000,
  "max_tokens": 1200
}
wait result
Script completed
Wall time 5.0 seconds
Output:
#228
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({cmd:\"ps aux | rg 'submission/curate.py' | rg -v rg | head; stat -c '%y %s' submission/selection.json; sha256sum submission/selection.json /tmp/selection4.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1200});\ntext(r.output);\n"
}
exec result
Script completed
Wall time 0.1 seconds
Output:
2026-08-04 02:05:51.283090056 +0000 83548
75641b3636a1369f0d30669caf1d0d5d676aee678340b1d0c4de590a0a0f5344  submission/selection.json
75641b3636a1369f0d30669caf1d0d5d676aee678340b1d0c4de590a0a0f5344  /tmp/selection4.json
#229
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const p = await tools.update_plan({explanation:\"Profiled the corpus and target, iterated with frozen training diagnostics, restored the best measured reproducible criterion, and validated all deliverables and token/ID constraints.\",plan:[\n  {step:\"Inspect timer, corpus schema/content, tokenizer and training interface\",status:\"completed\"},\n  {step:\"Develop corpus quality/domain/dedup scoring and candidate selections\",status:\"completed\"},\n  {step:\"Evaluate candidate selections on frozen dev training\",status:\"completed\"},\n  {step:\"Finalize reproducible selection, claim, and validation\",status:\"completed\"}\n]});\nconst r = await tools.exec_command({cmd:\"ls -lh submission/selection.json submission/curate.py claim.md && python - <<'PY'\\nimport json\\ns=json.load(open('submission/selection.json'))\\nprint('valid_ids',len(s),len(set(s)),min(s),max(s))\\nPY\\nsha256sum submission/selection.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":2000});\ntext(r.output);\n"
}
exec result
Script completed
Wall time 0.2 seconds
Output:
-rw-r--r-- 1 root root 2.3K Aug  4 01:58 claim.md
-rw-r--r-- 1 root root 8.4K Aug  4 02:04 submission/curate.py
-rw-r--r-- 1 root root  82K Aug  4 02:05 submission/selection.json
valid_ids 13623 13623 5 182007
75641b3636a1369f0d30669caf1d0d5d676aee678340b1d0c4de590a0a0f5344  submission/selection.json
#230
narration

Completed and validated:

  • selection.json: 13,623 unique valid IDs; fills 12M tokens.
  • curate.py: reproducibly generates the selection.
  • claim.md: hypothesis, mechanism, falsification, and transfer.

Frozen dev perplexity improved from 476.7 random to 337.1.

#231
narration

The best measured selection was already restored to the required paths. I’ll recheck the timer, exact deliverables, ID validity, and 12M-token evidence without changing the finalized candidate.

#232
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({cmd:\"cat /workspace/.timer/remaining_secs && ls -lh /workspace/submission/selection.json /workspace/submission/curate.py /workspace/claim.md && python - <<'PY'\\nimport json, numpy as np, hashlib\\np='/workspace/submission/selection.json'\\ns=json.load(open(p))\\nassert len(s)==len(set(s)) and all(type(i) is int and 0 <= i < 182016 for i in s)\\nassert len(np.load('/tmp/curated4.npy')) == 12_000_000\\nprint({'ids':len(s),'unique':len(set(s)),'range':[min(s),max(s)],'packed_tokens':12_000_000,'sha256':hashlib.sha256(open(p,'rb').read()).hexdigest()})\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":2000});\ntext(r.output);\n"
}
exec result
Script completed
Wall time 0.3 seconds
Output:
1975
-rw-r--r-- 1 root root 2.3K Aug  4 01:58 /workspace/claim.md
-rw-r--r-- 1 root root 8.4K Aug  4 02:04 /workspace/submission/curate.py
-rw-r--r-- 1 root root  82K Aug  4 02:05 /workspace/submission/selection.json
{'ids': 13623, 'unique': 13623, 'range': [5, 182007], 'packed_tokens': 12000000, 'sha256': '75641b3636a1369f0d30669caf1d0d5d676aee678340b1d0c4de590a0a0f5344'}
final summary

All required deliverables remain finalized and valid. The selection contains 13,623 unique IDs, fills exactly 12M packed tokens, and achieved 337.1 dev perplexity.