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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1,009 B
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62 lines
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1,009 B
JSON
[
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{
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"words": [
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"APPLE",
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"BANANA",
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"ORANGE",
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"GRAPE",
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"PINEAPPLE",
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"MANGO"
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]
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},
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{
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"words": [
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"SUN",
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"MOON",
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"STAR",
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"PLANET",
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"GALAXY",
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"UNIVERSE"
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]
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},
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{
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"words": [
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"AAA",
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"AAA",
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"AAAAA",
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"AAA",
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"AAA",
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"AAAAA"
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]
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},
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{
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"words": [
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"TEST",
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"DATA",
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"STRUCTURE",
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"OBJECT",
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"CLASS",
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"INHERIT"
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]
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},
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{
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"words": [
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"NOD",
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"BAA",
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"YARD",
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"AIRWAY",
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"NEWTON",
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"BURN"
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]
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},
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{
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"words": [
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"CODE",
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"DEBUG",
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"SCRIPT",
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"FUNCTION",
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"VARIABLE",
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"LOOP"
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]
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}
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] |