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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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examples/pipelines/all_configs/Cspysyndrome2_train.json
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examples/pipelines/all_configs/Cspysyndrome2_train.json
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[
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{
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"min_words": 3,
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"max_words": 5,
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"word_pool": [
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"Hello",
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"World",
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"Python",
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"Code",
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"Spy",
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"Cipher",
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"Hacker",
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"Secret",
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"Message",
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"Encode"
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],
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"extra_words": 2,
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"max_word_length": 8
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},
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{
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"min_words": 3,
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"max_words": 4,
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"word_pool": [
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"Hi",
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"Bye",
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"Yes",
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"No",
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"Hello",
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"World",
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"Python",
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"Code",
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"Spy"
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],
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"extra_words": 2,
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"max_word_length": 7
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},
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{
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"min_words": 4,
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"max_words": 6,
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"word_pool": [
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"Apple",
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"Banana",
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"Cherry",
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"Hello",
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"World",
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"Test",
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"Example",
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"Python",
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"Code",
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"Spy"
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],
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"extra_words": 3,
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"max_word_length": 9
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}
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]
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