mirror of
https://github.com/InternLM/InternBootcamp.git
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a8249acc18
* 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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1.5 KiB
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74 lines
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1.5 KiB
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[
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{
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"s_list": [
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"metals",
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"products",
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"students",
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"mammals",
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"pencils",
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"stars",
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"individual businesses"
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],
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"p_list": [
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"conductive",
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"qualified",
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"like mathematics",
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"warm-blooded animals",
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"pens",
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"planets",
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"paid taxes"
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],
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"problem_types": [
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"components",
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"proposition_type",
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"relationship_exists",
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"relationship_type",
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"truth_value"
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]
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},
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{
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"s_list": [
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"students",
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"animals",
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"fruits",
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"countries",
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"books",
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"cities"
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],
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"p_list": [
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"happy",
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"furry",
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"sweet",
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"large",
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"interesting",
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"populated"
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],
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"problem_types": [
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"components",
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"proposition_type",
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"relationship_exists",
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"truth_value"
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]
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},
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{
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"s_list": [
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"plants",
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"rocks",
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"mountains",
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"oceans",
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"stars"
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],
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"p_list": [
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"green",
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"hard",
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"tall",
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"deep",
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"bright"
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],
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"problem_types": [
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"proposition_type",
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"relationship_exists",
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"truth_value"
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]
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}
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] |