InternBootcamp/examples/pipelines/all_configs/linearODE_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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[
{
"k_range": [
0.15,
0.9
],
"x0_range": [
0.6,
1.8
],
"t_span": [
0,
6
],
"n_points": 60
},
{
"k_range": [
0.3,
2.0
],
"x0_range": [
0.7,
3.0
],
"t_span": [
0,
12
],
"n_points": 110
},
{
"k_range": [
0.05,
0.4
],
"x0_range": [
0.2,
1.3
],
"t_span": [
0,
8
],
"n_points": 80
},
{
"k_range": [
0.25,
1.2
],
"x0_range": [
0.4,
2.2
],
"t_span": [
0,
4
],
"n_points": 70
},
{
"k_range": [
0.2,
1.1
],
"x0_range": [
0.3,
2.5
],
"t_span": [
0,
9
],
"n_points": 90
}
]