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

examples/pipelines/data_generator.py

@@ -86,7 +86,10 @@ def main_pipeline(
             except Exception as e:
                 failure += 1
                 if failure > 512:
-                    print(config, f"seems to be a too challenging config to generate cases , because of {e}")
+                    import traceback
+                    traceback.print_exc()
+                    print(bootcamp_cls_name.replace("bootcamp", ""), config, f"seems to be a too challenging config to generate cases , because of {e}")
+                    failure = 0
                 continue
             
     writer.close()