* 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
- Rename puzzle configuration files for consistency (e.g., InChI2logP_test.json)
- Standardize class names to PascalCase (e.g., InChI2MRBootCamp -> InChI2MRbootCamp)
- Improve code structure in various bootcamp modules for better readability and maintainability
- Update import statements and file references to reflect new naming conventions
- Enhance setup.py to include rdkit dependency
