InternBootcamp/examples/pipelines/puzzle_configs/korLogicResolution_train.json
Yongkang Chen a8249acc18
update to tech report version (#10)
* 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
2025-08-28 12:39:47 +08:00

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[
{
"vars": [
"x",
"y",
"z",
"w",
"u"
],
"max_clause_length": 4,
"problem_types": [
"can_resolve",
"compute_dispel"
]
},
{
"vars": [
"a",
"b",
"c"
],
"max_clause_length": 2,
"problem_types": [
"can_resolve",
"compute_dispel"
]
},
{
"vars": [
"p",
"q",
"r"
],
"max_clause_length": 3,
"problem_types": [
"can_resolve",
"compute_dispel"
]
}
]