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>
This commit is contained in:
Cuzyoung
2026-05-24 19:36:27 +00:00
parent 2df2542aec
commit f55a26414e
71 changed files with 0 additions and 11199 deletions
-21
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@@ -1,21 +0,0 @@
_base_: ../_base_/default.yaml
train:
batch_size: 64
accumulation: 1
env:
name: babyvision
skill_init: skillopt/envs/babyvision/skills/initial.md
split_mode: ratio
split_ratio: "2:1:7"
split_dir: ""
data_path: ""
split_output_dir: ""
max_turns: 1
workers: 16
limit: 0
image_detail: auto
judge_model: gpt-5.4
judge_max_completion_tokens: 256
judge_retries: 5
-23
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@@ -1,23 +0,0 @@
_base_: ../_base_/default.yaml
model:
codex_exec_sandbox: danger-full-access
train:
batch_size: 64
accumulation: 1
env:
name: mathverse
skill_init: skillopt/envs/mathverse/skills/initial.md
split_dir: ""
data_root: data/MathVerse
problem_version: Text Lite
use_text_dominant_reference: false
max_turns: 1
workers: 16
limit: 0
image_detail: auto
judge_model: gpt-5.4
judge_max_completion_tokens: 256
judge_retries: 5
-18
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@@ -1,18 +0,0 @@
_base_: ../_base_/default.yaml
train:
batch_size: 128
accumulation: 1
env:
name: mmrb
skill_init: skillopt/envs/mmrb/skills/initial.md
split_mode: ratio
split_ratio: "2:1:7"
split_dir: ""
data_path: ""
split_output_dir: ""
max_turns: 1
workers: 16
limit: 0
image_detail: auto
-23
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@@ -1,23 +0,0 @@
_base_: ../_base_/default.yaml
model:
reasoning_effort: medium
train:
batch_size: 10
accumulation: 1
gradient:
minibatch_size: 8
merge_batch_size: 8
optimizer:
learning_rate: 4
env:
name: sealqa
skill_init: skillopt/envs/sealqa/skills/initial.md
split_dir: data/sealqa_split
workers: 4
max_tool_turns: 12
limit: 0
-36
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@@ -1,36 +0,0 @@
_base_: ../_base_/default.yaml
model:
reasoning_effort: medium
train:
batch_size: 20
accumulation: 1
gradient:
minibatch_size: 4
merge_batch_size: 8
optimizer:
learning_rate: 4
evaluation:
sel_env_num: 0
test_env_num: 0
env:
name: swebench
skill_init: skillopt/envs/swebench/skills/initial.md
split_mode: ratio
split_ratio: "2:1:7"
split_dir: ""
data_path: ""
split_output_dir: ""
dataset_name: lite
hf_split: test
workers: 8
eval_workers: 8
step_limit: 50
cost_limit: 3.0
timeout_per_instance: 600
limit: 0