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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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[
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{
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"question_types": [
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"expression_conversion",
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"equivalence_validation",
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"expression_simplification"
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],
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"variables": [
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"a",
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"b",
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"c"
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],
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"cities": [
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"Beijing",
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"Guangzhou",
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"Shenzhen"
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]
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},
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{
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"question_types": [
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"expression_conversion",
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"equivalence_validation",
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"puzzle_solution"
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],
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"variables": [
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"p",
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"q",
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"r"
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],
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"cities": [
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"Suzhou",
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"Shanghai",
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"Hangzhou"
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]
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},
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{
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"question_types": [
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"expression_conversion",
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"truth_table_completion",
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"puzzle_solution"
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],
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"variables": [
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"p",
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"q",
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"r",
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"s"
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],
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"cities": [
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"Shanghai",
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"Beijing",
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"Guangzhou"
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]
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}
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]
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