InternBootcamp/examples/pipelines/all_configs/Dspacemines_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

62 lines
No EOL
879 B
JSON

[
{
"A": [
100,
100,
100
],
"v": [
0,
1,
0
],
"R": 20,
"min_mines": 2,
"max_mines": 5
},
{
"A": [
100,
0,
0
],
"v": [
0,
1,
1
],
"R": 18,
"min_mines": 1,
"max_mines": 3
},
{
"A": [
0,
100,
0
],
"v": [
1,
1,
0
],
"R": 15,
"min_mines": 3,
"max_mines": 5
},
{
"A": [
0,
0,
0
],
"v": [
1,
0,
0
],
"R": 5,
"min_mines": 1,
"max_mines": 3
}
]