mirror of
https://github.com/InternLM/InternBootcamp.git
synced 2026-04-19 12:58:04 +00:00
a8249acc18
* feat(run_eval): add checkpoint resume functionality and update example documentation; - update new bootcamp benchmark dataset * refactor(data_pipeline): optimize data generation pipeline; add multiple preset configurations for data generation * docs: update bootcamp list and add new scripts - Update Fulllist_InternBootcamp.md with new bootcamps and categories - Add new scripts to .gitignore: - examples/pipelines/filter_autogen_configs.py - examples/pipelines/quickgen_data_configs_from_eval_meta.py - Update dependencies in setup.py: - Add scipy and scikit-learn * refactor(internbootcamp): update bootcamp modules and improve error handling - Update import statements in __init__.py files - Add timestamp to target directory name in verl_data_preprocess.py - Improve error handling and scoring logic in bootcamp_judger.py - Remove unnecessary comments and update puzzle descriptions in multiple files
53 lines
873 B
Text
Executable file
53 lines
873 B
Text
Executable file
## flangeplane
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internbootcamp/bootcamp/flangeplane/DeepCAD/work_dir/
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internbootcamp/bootcamp/flangeplane/DeepCAD/squashfs-root/
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## outputs
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data_generator_outputs/
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bootcamp_generator_outputs/
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bootcamp_generation_outputs/
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examples/eval/output/
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## configs
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## venv
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venv/
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.venv/
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## vscode
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.vscode/
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## pycache
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**/__pycache__/*
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internbootcamp.egg-info/
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# unit test
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whiteboard.py
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wbs/
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test.py
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unittest_logs
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autoverifier
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autoverifier/outputs
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test_bootcamp.py
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test_bootcamp_*.py
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fig.png
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examples/pipelines/filter_autogen_configs.py
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test*.py
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examples/pipelines/quickgen_data_configs_from_eval_meta.py
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# training
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examples/xpuyu_usage/ckpts
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examples/xpuyu_usage/bootcamp_rl/launch_configs
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examples/xpuyu_usage/bootcamp_rl/launch_scripts
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examples/xpuyu_usage/bootcamp_rl/configs
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examples/unittests/output/
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test.*
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test*
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wandb
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# assets
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internbootcamp/libs/symbolic_regression
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