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
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Yongkang Chen 2025-08-28 12:39:47 +08:00 committed by GitHub
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@ -22,7 +22,8 @@ python examples/unittests/run_eval.py \
--timeout 6000 \
--api_mode completion \
--max_retries 16 \
--max_retrying_delay 60
--max_retrying_delay 60 \
--resume
```
---
@ -46,7 +47,8 @@ Here are the main parameters supported by the script and their meanings:
| `--sys_prompt` | str | `"You are an expert reasoner..."` | System prompt content; only effective when `api_mode` is `chat_completion`. |
| `--max_retries` | int | `16` | Number of retries per failed request. |
| `--max_retrying_delay` | int | `60` | Maximum delay between retries in seconds. |
| `--resume` | bool | `true` | Resume from previous run. |
| `--check_model_url` | bool | `true` | Check if the model service URL is available before starting the evaluation. |
##### Parameter Relationships
- `--sys_prompt` is only effective if `--api_mode` is set to `chat_completion`.
- `--template` is only effective if `--api_mode` is set to `completion`.