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/all_configs/korLogicPropositionalLogicConcepts_test.json

@@ -0,0 +1,74 @@
+[
+    {
+        "s_list": [
+            "metals",
+            "products",
+            "students",
+            "mammals",
+            "pencils",
+            "stars",
+            "individual businesses"
+        ],
+        "p_list": [
+            "conductive",
+            "qualified",
+            "like mathematics",
+            "warm-blooded animals",
+            "pens",
+            "planets",
+            "paid taxes"
+        ],
+        "problem_types": [
+            "components",
+            "proposition_type",
+            "relationship_exists",
+            "relationship_type",
+            "truth_value"
+        ]
+    },
+    {
+        "s_list": [
+            "students",
+            "animals",
+            "fruits",
+            "countries",
+            "books",
+            "cities"
+        ],
+        "p_list": [
+            "happy",
+            "furry",
+            "sweet",
+            "large",
+            "interesting",
+            "populated"
+        ],
+        "problem_types": [
+            "components",
+            "proposition_type",
+            "relationship_exists",
+            "truth_value"
+        ]
+    },
+    {
+        "s_list": [
+            "plants",
+            "rocks",
+            "mountains",
+            "oceans",
+            "stars"
+        ],
+        "p_list": [
+            "green",
+            "hard",
+            "tall",
+            "deep",
+            "bright"
+        ],
+        "problem_types": [
+            "proposition_type",
+            "relationship_exists",
+            "truth_value"
+        ]
+    }
+]