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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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"symbolize_prob": 0.35,
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"relationship_prob": 0.35,
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"formula_inference_prob": 0.3,
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"action_words": [
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"study computer science",
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"write novels",
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"play piano",
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"keep on painting"
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],
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"subjects": [
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"Xiao Jin",
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"Xiao Qian",
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"Wang Qiang",
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"Lin Min"
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]
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},
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{
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"symbolize_prob": 0.4,
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"relationship_prob": 0.4,
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"formula_inference_prob": 0.2,
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"action_words": [
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"work in Beijing",
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"study abroad",
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"settle permanently",
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"win the championship"
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],
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"subjects": [
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"Wang Qiang",
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"Xiao Lin",
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"Dr Lee",
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"Old Zhao"
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]
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},
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{
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"symbolize_prob": 0.25,
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"relationship_prob": 0.45,
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"formula_inference_prob": 0.3,
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"action_words": [
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"work on farms",
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"teach mathematics",
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"travel abroad",
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"keep on painting"
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],
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"subjects": [
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"Old Zhao",
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"Dr Lee",
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"Xiao Bai",
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"I"
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]
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},
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{
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"symbolize_prob": 0.45,
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"relationship_prob": 0.25,
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"formula_inference_prob": 0.3,
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"action_words": [
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"work diligently",
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"settle in the US",
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"invest in stocks",
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"win the championship"
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],
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"subjects": [
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"Mr Chen",
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"Dr Lee",
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"Xiao Lin",
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"Old Zhao"
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]
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}
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]
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