InternBootcamp/examples/pipelines/all_configs/Dcompletetripartite_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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[
{
"n_min": 3,
"n_max": 50,
"seed": 123,
"enforce_valid": false,
"sizes": [
2,
2,
2
],
"edge_ratio": 0.8
},
{
"n_min": 3,
"n_max": 20,
"seed": 42,
"enforce_valid": true,
"sizes": [
1,
1,
1
],
"edge_ratio": 1.0
},
{
"n_min": 3,
"n_max": 15,
"seed": 101,
"enforce_valid": false,
"sizes": [
1,
2,
3
],
"edge_ratio": 0.9
},
{
"n_min": 3,
"n_max": 25,
"seed": 202,
"enforce_valid": true,
"sizes": [
4,
4,
4
],
"edge_ratio": 1.0
}
]