InternBootcamp/examples/pipelines/all_configs/Dqueue_test.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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[
{
"min_n": 3,
"max_n": 25,
"ti_min": 20,
"ti_max": 10000
},
{
"min_n": 3,
"max_n": 10,
"ti_min": 5,
"ti_max": 50
},
{
"min_n": 2,
"max_n": 30,
"ti_min": 50,
"ti_max": 1000
},
{
"min_n": 1,
"max_n": 10,
"ti_min": 1,
"ti_max": 1000
},
{
"min_n": 4,
"max_n": 30,
"ti_min": 10,
"ti_max": 1000
},
{
"min_n": 2,
"max_n": 15,
"ti_min": 1,
"ti_max": 500
}
]