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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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576 B
JSON
26 lines
No EOL
576 B
JSON
[
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{
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"max_procedures": 12,
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"max_variables": 8,
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"max_calls": 15,
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"procedure_name_length": 6,
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"var_name_length": 4,
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"t_probability": 0.5
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},
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{
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"max_procedures": 10,
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"max_variables": 10,
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"max_calls": 5,
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"procedure_name_length": 3,
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"var_name_length": 3,
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"t_probability": 0.2
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},
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{
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"max_procedures": 20,
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"max_variables": 20,
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"max_calls": 10,
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"procedure_name_length": 7,
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"var_name_length": 7,
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"t_probability": 0.4
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}
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] |