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* 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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1.7 KiB
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80 lines
No EOL
1.7 KiB
JSON
[
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{
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"apply_prob": 0.5,
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"methods": [
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"A",
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"B",
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"C"
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],
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"subjects": [
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"natural numbers",
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"products",
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"college students",
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"true revolutionaries",
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"formally correct reasoning"
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],
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"predicates": [
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"rational numbers",
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"top-grade",
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"patriots",
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"upright and open",
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"tested by practice"
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]
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},
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{
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"apply_prob": 0.5,
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"methods": [
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"A",
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"B"
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],
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"subjects": [
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"natural numbers",
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"products",
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"true revolutionaries"
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],
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"predicates": [
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"rational numbers",
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"top-grade",
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"upright and open"
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]
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},
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{
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"apply_prob": 0.7,
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"methods": [
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"A",
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"B",
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"C"
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],
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"subjects": [
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"natural numbers",
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"products",
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"college students",
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"true revolutionaries",
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"formally correct reasoning"
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],
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"predicates": [
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"rational numbers",
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"top-grade",
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"patriots",
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"upright and open",
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"tested by practice"
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]
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},
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{
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"apply_prob": 0.6,
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"methods": [
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"B",
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"C"
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],
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"subjects": [
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"college students",
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"true revolutionaries",
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"formally correct reasoning"
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],
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"predicates": [
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"patriots",
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"upright and open",
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"tested by practice"
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]
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}
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] |