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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82 lines
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1.5 KiB
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[
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{
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"num_words": 5,
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"nouns": [
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"sun",
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"flower",
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"pine",
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"apple",
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"butter",
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"fly",
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"news",
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"paper",
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"cat",
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"fish",
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"history",
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"building",
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"ball",
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"room",
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"fire",
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"place",
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"water",
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"fall",
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"door",
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"knob",
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"light",
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"house",
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"tooth",
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"paste",
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"book",
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"case",
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"cup",
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"board",
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"air",
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"port",
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"rail",
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"road",
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"sea",
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"shell",
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"snow",
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"ball"
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]
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},
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{
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"num_words": 4,
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"nouns": [
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"tree",
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"leaf",
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"bud",
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"branch",
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"bark",
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"root",
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"seeds",
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"fruit",
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"bloom",
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"sapling",
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"forest",
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"grove",
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"orchard",
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"jungle"
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]
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},
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{
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"num_words": 5,
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"nouns": [
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"rain",
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"storm",
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"wind",
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"cloud",
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"lightning",
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"thunder",
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"fog",
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"hail",
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"sleet",
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"snow",
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"sunshine",
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"dawn",
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"dusk",
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"twilight",
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"moonlight"
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]
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}
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] |