on-policy-self-distillation

gpt-5.6-sol

on-policy-self-distillation — graded by the task's verifier against a measured baseline.

backend: modal
variant: codex azure_ai/gpt-5.6-sol
metric: AIME24 avg@12 accuracy
actions: 627
duration: 6h 30m
recorded: 2026-08-02

run idopsd-aime24-4gpus__RqGcDty

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

download JSON ↗

codexgpt-5.6-sol684 turns57 narration627 reasoning627 action627 observation1 final

#76

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:71812,chars:\"\",yield_time_ms:30000,max_output_tokens:80});\ntext(r.output);\n"
}

exec result

Script running with cell ID 50
Wall time 11.0 seconds
Output:

#77

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "50",
  "yield_time_ms": 30000,
  "max_tokens": 80
}

wait result

Script completed
Wall time 15.9 seconds
Output:
Warning: truncated output (original token count: 107)
Total output lines: 6

Warning: truncated output (original token count: 2006)
Total output lines: 168

vLLM generation done - elapsed time: 3.30s, prompts: 4, total tokens: 2704, avg …27 tokens truncated…elapsed time: 3.39s, prompts: 4, total tokens: 4096, avg length: 1024.0, speed: 1209.9 tok/s

 87%|████████▋ | 87/100 [11:50<01:45,  8.12s/it]

#78

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:71812,chars:\"\",yield_time_ms:30000,max_output_tokens:80});\ntext(r.output);\n"
}

exec result

Script running with cell ID 51
Wall time 11.0 seconds
Output:

#79

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "51",
  "yield_time_ms": 30000,
  "max_tokens": 80
}

wait result

Script completed
Wall time 10.4 seconds
Output:
Warning: truncated output (original token count: 107)
Total output lines: 6

Warning: truncated output (original token count: 2434)
Total output lines: 221

vLLM generation done - elapsed time: 3.37s, prompts: 4, total tokens: 4006, avg …27 tokens truncated…96, avg length: 1024.0, speed: 1209.7 tok/s
vLLM generation done - elapsed time: 3.39s, prompts: 4, total tokens: 4021, avg length: 1005.2, speed: 1186.3 tok/s

#80

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:71812,chars:\"\",yield_time_ms:30000,max_output_tokens:120});\ntext(r.output);\n"
}

exec result

Script running with cell ID 52
Wall time 11.0 seconds
Output:

#81

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "52",
  "yield_time_ms": 30000,
  "max_tokens": 120
}

wait result

Script completed
Wall time 14.0 seconds
Output:
Warning: truncated output (original token count: 147)
Total output lines: 7

Warning: truncated output (original token count: 2390)
Total output lines: 188


 92%|█████████▏| 92/100 [12:31<01:05,  8.15s/it]
                                                
{'loss': -0.0142, 'grad_norm': 0.05198633…27 tokens truncated…9 tok/s
vLLM generation done - elapsed time: 3.39s, prompts: 4, total tokens: 4096, avg length: 1024.0, speed: 1207.9 tok/s
vLLM generation done - elapsed time: 3.41s, prompts: 4, total tokens: 4096, avg length: 1024.0, speed: 1202.6 tok/s

#82

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:71812,chars:\"\",yield_time_ms:30000,max_output_tokens:300});\ntext(r.output);\n"
}

exec result

Script running with cell ID 53
Wall time 11.0 seconds
Output:

#83

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "53",
  "yield_time_ms": 30000,
  "max_tokens": 300
}

wait result

Script completed
Wall time 16.2 seconds
Output:
Warning: truncated output (original token count: 327)
Total output lines: 10

Warning: truncated output (original token count: 1350)
Total output lines: 36

vLLM generation done - elapsed time: 3.35s, prompts: 4, total tokens: 3550, avg length: 887.5, speed: 1060.9 tok/s
vLLM generation done - elapsed time: 3.36s, prompts: 4, total tokens: 3612, avg length: 903.0, speed: 1075.4 tok/s
vLLM generation done - elapsed time: 3.40s, prompts: 4, total tokens: 4096, avg length: 1024.0, speed: 1204.5 tok/s
vLLM generation done - elapsed time: 3.40s, prompts: 4, total tokens: 4096, avg length: 1024.0, speed: 1203.0 tok/s

 97%|█████████▋| 97/100 [13:12<00:24, …27 tokens truncated…docs/stable/distributed.html#shutdown (function operator())
[rank2]:[W802 18:47:21.799407378 ProcessGroupNCCL.cpp:1538] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
[rank1]:[W802 18:47:21.799522095 ProcessGroupNCCL.cpp:1538] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())

#84

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:71812,chars:\"\",yield_time_ms:1000,max_output_tokens:1000});\ntext(r.output); text(JSON.stringify({exit_code:r.exit_code,session_id:r.session_id}));\n"
}

exec result

Script completed
Wall time 0.0 seconds
Output:
TRAIN_CKPT=/workspace/runs/domain_only/capped_seed42/checkpoint-100
{"exit_code":0}

#85

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"bash /workspace/dev_eval.sh /workspace/runs/domain_only/capped_seed42/checkpoint-100 /workspace/eval_results/domain_only_full.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":2000});\ntext(r.output); if (r.session_id) text(`SESSION_ID=${r.session_id}`);\n"
}

exec result

Script completed
Wall time 1.2 seconds
Output:
SESSION_ID=99639

#86

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:99639,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);\n"
}

exec result

Script running with cell ID 56
Wall time 11.0 seconds
Output:

#87

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "56",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}

wait result

Script completed
Wall time 13.3 seconds
Output:
Warning: truncated output (original token count: 3027)
Total output lines: 97

Warning: truncated output (original token count: 5914)
Total output lines: 154

`torch_dtype` is deprecated! Use `dtype` instead!
Checkpoint kind: lora
Merging LoRA adapter into base weights for evaluation (CPU, once)...

Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 54.07it/s]
Generating with data_parallel_size=4 (TP=1 per engine) ...
INFO 08-02 18:47:58 [__init__.py:216] Automatically detected platform cuda.
INFO 08-02 18:47:58 [__init__.py:216] Automatically detected platform cuda.
INFO 08-02 18:47:58 [__init__.py:216] Automatically detected platform cuda.
INFO 08-02 18:47:58 [__init__.py:216] Automatically detected platform cuda.
INFO 08-02 18:48:00 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_131zs9ce] to model_path [/tmp/opsd_merged_131zs9ce]
INFO 08-02 18:48:00 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_131zs9ce] to model_path [/tmp/opsd_merged_131zs9ce]
INFO 08-02 18:48:00 [utils.py:233] non-default args: {'trust_remote_code': True, 'seed': 20260610, 'max_model_len': 40960, 'disable_log_stats': True, 'enforce_eager': True, 'model': '/tmp/opsd_merged_131zs9ce'}
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
INFO 08-02 18:48:00 [model.py:547] Resolved architecture: Qwen3ForCausalLM
`torch_dtype` is deprecated! Use `dtype` instead!
INFO 08-02 18:48:00 [model.py:1510] Using max model len 40960
INFO 08-02 18:48:01 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_131zs9ce] to model_path [/tmp/opsd_merged_131zs9ce]
INFO 08-02 18:48:01 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_131zs9ce] to model_path [/tmp/opsd_merged_131zs9ce]
INFO 08-02 18:48:01 [utils.py:233] non-default args: {'trust_remote_code': True, 'seed': 20260610, 'max_model_len': 40960, 'disable_log_stats': True, 'enforce_eager': True, 'model': '/tmp/opsd_merged_131zs9ce'}
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
INFO 08-02 18:48:01 [model.py:547] Resolved architecture: Qwen3ForCausalLM
`torch_dtype` is deprecated! Use `dtype` instead!
INFO 08-02 18:48:01 [model.py:1510] Using max model len 40960
INFO 08-02 18:48:01 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_131zs9ce] to model_path [/tmp/opsd_merged_131zs9ce]
INFO 08-02 18:48:01 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_131zs9ce] to model_path [/tmp/opsd_merged_131zs9ce]
INFO 08-02 18:48:01 [utils.py:233] non-default args: {'trust_remote_code': True, 'seed': 20260610, 'max_model_len': 40960, 'disable_log_stats': True, 'enforce_eager': True, 'model': '/tmp/opsd_merged_131zs9ce'}
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
INFO 08-02 18:48:01 [model.py:547] Resolved architecture: Qwen3ForCausalLM
`torch_dtype` is deprecated! Use `dtype` instead!
INFO 08-02 18:48:01 [model.py:1510] Using max model len 40960
INFO 08-02 18:48:01 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_131zs9ce] to model_path [/tmp/opsd_merged_131zs9ce]
INFO 08-02 18:48:01 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_131zs9ce] to model_path [/tmp/opsd_merged_131zs9ce]
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
INFO 08-02 18:48:01 [utils.py:233] non-default args: {'trust_remote_code': True, 'seed': 20260610, 'max_model_len': 40960, 'disable_log_stats': True, 'enforce_eager': True, 'model': '/tmp/opsd_merged_131zs9ce'}
INFO 08-02 18:48:01 [model.py:547] Resolved architecture: Qwen3ForCausalLM
`torch_dtype` is deprecated! Use `dtype` instead!
INFO 08-02 18:48:01 [model.py:1510] Using max model len 40960
INFO 08-02 18:48:01 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=16384.
INFO 08-02 18:48:01 [__init__.py:381] Cudagraph is disabled under eager mode
INFO 08-02 18:48:01 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=16384.
INFO 08-02 18:48:01 [__init__.py:381] Cudagraph is disabled under eager mode
INFO 08-02 18:48:01 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=16384.
INFO 08-02 18:48:01 [__init__.py:381] Cudagraph is disabled under eager mode
INFO 08-02 18:48:01 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=16384.
INFO 08-02 18:48:01 [__init__.py:381] Cudagraph is disabled under eager mode
[1;36m(EngineCore_DP0 pid=5442)[0;0m INFO 08-02 18:48:01 [core.py:644] Waiting for init message from front-end.
[1;36m(EngineCore_DP0 pid=5442)[0;0m INFO 08-02 18:48:02 [core.py:77] Initializing a V1 LLM engine (v0.11.0) with config: model='/tmp/opsd_merged_131zs9ce', speculative_config=None, tokenizer='/tmp/opsd_merged_131zs9ce', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=40960, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=20260610, served_model_name=/tmp/opsd_merged_131zs9ce, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={"level":0,"debug_dump_path":"","cache_dir":"","backend":"","custom_ops":[],"splitting_ops":null,"use_inductor":true,"compile_sizes":[],"inductor_compil…27 tokens truncated…0:00,  4.75s/it]
[1;36m(EngineCore_DP0 pid=5450)[0;0m 
Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:04<00:00,  4.75s/it]
[1;36m(EngineCore_DP0 pid=5450)[0;0m 
[1;36m(EngineCore_DP0 pid=5450)[0;0m INFO 08-02 18:48:11 [default_loader.py:267] Loading weights took 4.75 seconds
[1;36m(EngineCore_DP0 pid=5451)[0;0m 
Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:04<00:00,  4.42s/it]
[1;36m(EngineCore_DP0 pid=5451)[0;0m 
Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:04<00:00,  4.43s/it]
[1;36m(EngineCore_DP0 pid=5451)[0;0m 
[1;36m(EngineCore_DP0 pid=5451)[0;0m INFO 08-02 18:48:11 [default_loader.py:267] Loading weights took 4.43 seconds
[1;36m(EngineCore_DP0 pid=5454)[0;0m 
Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:04<00:00,  4.62s/it]
[1;36m(EngineCore_DP0 pid=5454)[0;0m 
Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:04<00:00,  4.62s/it]
[1;36m(EngineCore_DP0 pid=5454)[0;0m 
[1;36m(EngineCore_DP0 pid=5454)[0;0m INFO 08-02 18:48:11 [default_loader.py:267] Loading weights took 4.62 seconds
[1;36m(EngineCore_DP0 pid=5450)[0;0m INFO 08-02 18:48:11 [gpu_model_runner.py:2653] Model loading took 3.2152 GiB and 5.034479 seconds
[1;36m(EngineCore_DP0 pid=5451)[0;0m INFO 08-02 18:48:11 [gpu_model_runner.py:2653] Model loading took 3.2152 GiB and 4.755851 seconds
[1;36m(EngineCore_DP0 pid=5442)[0;0m INFO 08-02 18:48:11 [gpu_worker.py:298] Available KV cache memory: 116.86 GiB
[1;36m(EngineCore_DP0 pid=5454)[0;0m INFO 08-02 18:48:11 [gpu_model_runner.py:2653] Model loading took 3.2152 GiB and 4.896311 seconds
[1;36m(EngineCore_DP0 pid=5442)[0;0m INFO 08-02 18:48:12 [kv_cache_utils.py:1087] GPU KV cache size: 1,094,064 tokens
[1;36m(EngineCore_DP0 pid=5442)[0;0m INFO 08-02 18:48:12 [kv_cache_utils.py:1091] Maximum concurrency for 40,960 tokens per request: 26.71x
[1;36m(EngineCore_DP0 pid=5442)[0;0m WARNING 08-02 18:48:12 [cudagraph_dispatcher.py:106] cudagraph dispatching keys are not initialized. No cudagraph will be used.
[1;36m(EngineCore_DP0 pid=5442)[0;0m INFO 08-02 18:48:12 [core.py:210] init engine (profile, create kv cache, warmup model) took 1.40 seconds
[1;36m(EngineCore_DP0 pid=5450)[0;0m INFO 08-02 18:48:12 [gpu_worker.py:298] Available KV cache memory: 116.86 GiB
[1;36m(EngineCore_DP0 pid=5442)[0;0m INFO 08-02 18:48:12 [__init__.py:381] Cudagraph is disabled under eager mode
[1;36m(EngineCore_DP0 pid=5450)[0;0m INFO 08-02 18:48:12 [kv_cache_utils.py:1087] GPU KV cache size: 1,094,064 tokens
[1;36m(EngineCore_DP0 pid=5450)[0;0m INFO 08-02 18:48:12 [kv_cache_utils.py:1091] Maximum concurrency for 40,960 tokens per request: 26.71x
[1;36m(EngineCore_DP0 pid=5450)[0;0m WARNING 08-02 18:48:12 [cudagraph_dispatcher.py:106] cudagraph dispatching keys are not initialized. No cudagraph will be used.
[1;36m(EngineCore_DP0 pid=5450)[0;0m INFO 08-02 18:48:13 [core.py:210] init engine (profile, create kv cache, warmup model) took 1.51 seconds
INFO 08-02 18:48:13 [llm.py:306] Supported_tasks: ['generate']

Adding requests:   0%|          | 0/8 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 8/8 [00:00<00:00, 443.44it/s]

Processed prompts:   0%|          | 0/96 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s][1;36m(EngineCore_DP0 pid=5451)[0;0m INFO 08-02 18:48:13 [gpu_worker.py:298] Available KV cache memory: 116.86 GiB
[1;36m(EngineCore_DP0 pid=5454)[0;0m INFO 08-02 18:48:13 [gpu_worker.py:298] Available KV cache memory: 116.86 GiB
[1;36m(EngineCore_DP0 pid=5451)[0;0m INFO 08-02 18:48:13 [kv_cache_utils.py:1087] GPU KV cache size: 1,094,064 tokens
[1;36m(EngineCore_DP0 pid=5451)[0;0m INFO 08-02 18:48:13 [kv_cache_utils.py:1091] Maximum concurrency for 40,960 tokens per request: 26.71x
[1;36m(EngineCore_DP0 pid=5451)[0;0m WARNING 08-02 18:48:13 [cudagraph_dispatcher.py:106] cudagraph dispatching keys are not initialized. No cudagraph will be used.
[1;36m(EngineCore_DP0 pid=5451)[0;0m INFO 08-02 18:48:13 [core.py:210] init engine (profile, create kv cache, warmup model) took 1.71 seconds
[1;36m(EngineCore_DP0 pid=5454)[0;0m INFO 08-02 18:48:13 [kv_cache_utils.py:1087] GPU KV cache size: 1,094,064 tokens
[1;36m(EngineCore_DP0 pid=5454)[0;0m INFO 08-02 18:48:13 [kv_cache_utils.py:1091] Maximum concurrency for 40,960 tokens per request: 26.71x
[1;36m(EngineCore_DP0 pid=5450)[0;0m INFO 08-02 18:48:13 [__init__.py:381] Cudagraph is disabled under eager mode
[1;36m(EngineCore_DP0 pid=5454)[0;0m WARNING 08-02 18:48:13 [cudagraph_dispatcher.py:106] cudagraph dispatching keys are not initialized. No cudagraph will be used.
[1;36m(EngineCore_DP0 pid=5454)[0;0m INFO 08-02 18:48:13 [core.py:210] init engine (profile, create kv cache, warmup model) took 1.73 seconds
INFO 08-02 18:48:13 [llm.py:306] Supported_tasks: ['generate']

Adding requests:   0%|          | 0/8 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 8/8 [00:00<00:00, 273.55it/s]

Processed prompts:   0%|          | 0/96 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s][1;36m(EngineCore_DP0 pid=5451)[0;0m INFO 08-02 18:48:14 [__init__.py:381] Cudagraph is disabled under eager mode
[1;36m(EngineCore_DP0 pid=5454)[0;0m INFO 08-02 18:48:14 [__init__.py:381] Cudagraph is disabled under eager mode
INFO 08-02 18:48:14 [llm.py:306] Supported_tasks: ['generate']

Adding requests:   0%|          | 0/7 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 7/7 [00:00<00:00, 269.77it/s]

Processed prompts:   0%|          | 0/84 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]INFO 08-02 18:48:14 [llm.py:306] Supported_tasks: ['generate']

Adding requests:   0%|          | 0/7 [00:00<?, ?it/s]
Adding requests: 100%|██████████| 7/7 [00:00<00:00, 278.10it/s]

Processed prompts:   0%|          | 0/84 [00:00<?, ?it/s, est. speed input: 0.00 toks/s, output: 0.00 toks/s]

#88

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nfrom datasets import load_dataset\\nimport re\\nD=load_dataset('siyanzhao/Openthoughts_math_30k_opsd')['train']\\ndef integer(x): return re.fullmatch(r'\\\\s*(?:\\\\\\\\boxed\\\\{)?-?\\\\d{1,3}(?:\\\\})?\\\\s*',x or '') is not None\\nfor src in ['amc_aime','aops_forum','math','olympiads']:\\n for t in [0,2000,2500,3000,3500]:\\n  a=[x for x in D if x['source']==src and integer(x['Answer']) and x['generated_token_count']>=t and '(A)' not in x['problem'] and r'\\\\text{(A)}' not in x['problem'] and r'\\\\textbf{(A)}' not in x['problem']]\\n  print(src,t,len(a))\\n print()\\nPY\",\"workdir\":\"/workspace/repo\",\"yield_time_ms\":30000,\"max_output_tokens\":3000});\ntext(r.output);\n"
}

exec result

Script running with cell ID 57
Wall time 11.0 seconds
Output:

#89

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "57",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}

wait result

Script completed
Wall time 15.9 seconds
Output:
Using the latest cached version of the dataset since siyanzhao/Openthoughts_math_30k_opsd couldn't be found on the Hugging Face Hub (offline mode is enabled).
Found the latest cached dataset configuration 'default' at /opt/hf_cache/datasets/siyanzhao___openthoughts_math_30k_opsd/default/0.0.0/1f33e9dc2e8a1c639ca74f8024ad4a9f1f5eae62 (last modified on Sun Aug  2 18:32:07 2026).

#90

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nfrom datasets import load_dataset\\nimport re,collections\\nD=load_dataset('siyanzhao/Openthoughts_math_30k_opsd')['train']\\nc=collections.Counter()\\nfor x in D:\\n a=(x['Answer'] or '').strip()\\n integer=re.fullmatch(r'(?:\\\\\\\\boxed\\\\{)?-?\\\\d{1,3}(?:\\\\})?',a) is not None\\n mc=any(z in x['problem'] for z in ['(A)',r'\\\\text{(A)}',r'\\\\textbf{(A)}'])\\n if integer and not mc:\\n  for t in [0,2000,2500,3000,3500]: c[x['source'],t]+= x['generated_token_count']>=t\\nfor src in ['amc_aime','aops_forum','math','olympiads']:\\n print(src,[c[src,t] for t in [0,2000,2500,3000,3500]])\\nPY\",\"workdir\":\"/workspace/repo\",\"yield_time_ms\":30000,\"max_output_tokens\":2000});\ntext(r.output);\n"
}

exec result

Script completed
Wall time 3.9 seconds
Output:
Using the latest cached version of the dataset since siyanzhao/Openthoughts_math_30k_opsd couldn't be found on the Hugging Face Hub (offline mode is enabled).
Found the latest cached dataset configuration 'default' at /opt/hf_cache/datasets/siyanzhao___openthoughts_math_30k_opsd/default/0.0.0/1f33e9dc2e8a1c639ca74f8024ad4a9f1f5eae62 (last modified on Sun Aug  2 18:32:07 2026).
amc_aime [85, 81, 65, 49, 36]
aops_forum [1231, 1040, 862, 687, 507]
math [3197, 1503, 1039, 679, 440]
olympiads [7868, 5828, 4699, 3577, 2532]

#91

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:99639,chars:\"\",yield_time_ms:30000,max_output_tokens:300});\ntext(r.output);\n"
}

exec result

Script running with cell ID 59
Wall time 11.0 seconds
Output:

#92

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "59",
  "yield_time_ms": 30000,
  "max_tokens": 300
}

wait result

Script completed
Wall time 11.6 seconds
Output:

#93

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:99639,chars:\"\",yield_time_ms:30000,max_output_tokens:300});\ntext(r.output);\n"
}

exec result

Script running with cell ID 60
Wall time 11.0 seconds
Output:

#94

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "60",
  "yield_time_ms": 30000,
  "max_tokens": 300
}

wait result

Script completed
Wall time 16.4 seconds
Output:

Processed prompts:  12%|█▎        | 12/96 [02:08<14:56, 10.67s/it, est. speed input: 14.62 toks/s, output: 574.25 toks/s]

#95

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const p = await tools.update_plan({explanation:\"Baseline audit identified domain imbalance, rollout truncation, a training/eval prompt mismatch, and asymmetric pointwise-KL clipping. A first controlled target-domain replay run is now under full evaluation.\",plan:[\n {step:\"Audit repository, paper, baseline recipe, and training logs\",status:\"completed\"},\n {step:\"Formulate and implement a budget-neutral OPSD improvement\",status:\"in_progress\"},\n {step:\"Run targeted training/evaluation experiments and compare candidates\",status:\"in_progress\"},\n {step:\"Finalize method, recipe, and verify scorer-compatible training\",status:\"pending\"}\n]}); text(p);\n"
}

exec result

Script completed
Wall time 0.0 seconds
Output:
{}

#96

narration

The first checkpoint is now in the official full 30-problem × 12-sample evaluation. Meanwhile, I refined the selection rule beyond the coarse source label: past-AIME/non-multiple-choice examples, hard integer-answer AoPS/MATH examples, and a diverse hard-olympiad slice. This avoids over-weighting easy AMC multiple-choice items while matching AIME’s answer format and difficulty.

#97

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:99639,chars:\"\",yield_time_ms:30000,max_output_tokens:300});\ntext(r.output);\n"
}

exec result

Script running with cell ID 62
Wall time 11.0 seconds
Output:

#98

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "62",
  "yield_time_ms": 30000,
  "max_tokens": 300
}

wait result

Script completed
Wall time 11.3 seconds
Output:

#99

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:99639,chars:\"\",yield_time_ms:30000,max_output_tokens:300});\ntext(r.output);\n"
}

exec result

Script running with cell ID 63
Wall time 11.0 seconds
Output:

#100

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "63",
  "yield_time_ms": 30000,
  "max_tokens": 300
}

wait result

Script completed
Wall time 16.0 seconds
Output: