cleanup: remove unused benchmarks, deep_probe, meta_reflect
Remove sealqa, babyvision, mathverse, mmrb, swebench envs and configs. Remove deep_probe, deep_reflect, meta_reflect modules and prompts. Remove download_babyvision script. These are not part of the core released benchmarks. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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_base_: ../_base_/default.yaml
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train:
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batch_size: 64
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accumulation: 1
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env:
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name: babyvision
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skill_init: skillopt/envs/babyvision/skills/initial.md
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split_mode: ratio
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split_ratio: "2:1:7"
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split_dir: ""
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data_path: ""
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split_output_dir: ""
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max_turns: 1
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workers: 16
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limit: 0
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image_detail: auto
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judge_model: gpt-5.4
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judge_max_completion_tokens: 256
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judge_retries: 5
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@@ -1,23 +0,0 @@
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_base_: ../_base_/default.yaml
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model:
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codex_exec_sandbox: danger-full-access
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train:
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batch_size: 64
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accumulation: 1
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env:
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name: mathverse
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skill_init: skillopt/envs/mathverse/skills/initial.md
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split_dir: ""
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data_root: data/MathVerse
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problem_version: Text Lite
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use_text_dominant_reference: false
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max_turns: 1
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workers: 16
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limit: 0
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image_detail: auto
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judge_model: gpt-5.4
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judge_max_completion_tokens: 256
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judge_retries: 5
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@@ -1,18 +0,0 @@
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_base_: ../_base_/default.yaml
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train:
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batch_size: 128
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accumulation: 1
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env:
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name: mmrb
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skill_init: skillopt/envs/mmrb/skills/initial.md
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split_mode: ratio
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split_ratio: "2:1:7"
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split_dir: ""
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data_path: ""
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split_output_dir: ""
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max_turns: 1
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workers: 16
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limit: 0
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image_detail: auto
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@@ -1,23 +0,0 @@
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_base_: ../_base_/default.yaml
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model:
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reasoning_effort: medium
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train:
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batch_size: 10
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accumulation: 1
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gradient:
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minibatch_size: 8
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merge_batch_size: 8
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optimizer:
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learning_rate: 4
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env:
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name: sealqa
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skill_init: skillopt/envs/sealqa/skills/initial.md
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split_dir: data/sealqa_split
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workers: 4
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max_tool_turns: 12
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limit: 0
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@@ -1,36 +0,0 @@
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_base_: ../_base_/default.yaml
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model:
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reasoning_effort: medium
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train:
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batch_size: 20
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accumulation: 1
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gradient:
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minibatch_size: 4
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merge_batch_size: 8
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optimizer:
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learning_rate: 4
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evaluation:
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sel_env_num: 0
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test_env_num: 0
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env:
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name: swebench
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skill_init: skillopt/envs/swebench/skills/initial.md
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split_mode: ratio
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split_ratio: "2:1:7"
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split_dir: ""
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data_path: ""
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split_output_dir: ""
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dataset_name: lite
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hf_split: test
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workers: 8
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eval_workers: 8
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step_limit: 50
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cost_limit: 3.0
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timeout_per_instance: 600
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limit: 0
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