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/Cprimenumber_test.json

@@ -0,0 +1,41 @@
+[
+    {
+        "max_n": 4,
+        "x_primes": [
+            2,
+            5,
+            7
+        ],
+        "a_max": 15
+    },
+    {
+        "max_n": 7,
+        "x_primes": [
+            2,
+            5,
+            11,
+            13
+        ],
+        "a_max": 30
+    },
+    {
+        "max_n": 6,
+        "x_primes": [
+            2,
+            3,
+            5,
+            7
+        ],
+        "a_max": 25
+    },
+    {
+        "max_n": 5,
+        "x_primes": [
+            3,
+            5,
+            7,
+            11
+        ],
+        "a_max": 20
+    }
+]