InternBootcamp/examples/pipelines/all_configs/Csubsetsums_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

70 lines
No EOL
1.2 KiB
JSON

[
{
"threshold": 6,
"min_n": 15,
"max_n": 30,
"min_m": 12,
"max_m": 20,
"min_q": 12,
"max_q": 30,
"array_value_range": [
-30,
30
],
"query_value_range": [
-300,
300
]
},
{
"threshold": 4,
"min_n": 5,
"max_n": 25,
"min_m": 8,
"max_m": 15,
"min_q": 8,
"max_q": 25,
"array_value_range": [
-15,
15
],
"query_value_range": [
-150,
150
]
},
{
"threshold": 2,
"min_n": 5,
"max_n": 10,
"min_m": 3,
"max_m": 8,
"min_q": 3,
"max_q": 10,
"array_value_range": [
-5,
5
],
"query_value_range": [
-50,
50
]
},
{
"threshold": 3,
"min_n": 4,
"max_n": 15,
"min_m": 5,
"max_m": 10,
"min_q": 5,
"max_q": 15,
"array_value_range": [
-10,
10
],
"query_value_range": [
-100,
100
]
}
]