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update to tech report version (#10)

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* 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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examples/get_started.md
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@ -60,7 +60,8 @@ python examples/unittests/run_eval.py \
--max_concurrent_requests 128 \
--timeout 6000 \
--max_retries 16 \
--max_retrying_delay 60
--max_retrying_delay 60 \
--resume
```
Note: When `api_mode` is set to `completion`, ensure that the corresponding `template` is correctly configured (supported options include `r1`, `qwen`, `internthinker`, and `chatml` (no system prompt)). For more details, refer to the [Evaluation Manual](/examples/unittests/README.md).