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examples/pipelines/data_configs/data_config_test.jsonl
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{"bootcamp_name": "aquarium", "sample_number": 100, "config_file": "aquarium", "bootcamp_cls_name": "Aquariumbootcamp"} {"bootcamp_name": "medcalculator", "sample_number": 100, "config_file": "med_calculator", "bootcamp_cls_name": "Medcalculatorbootcamp"}
{"bootcamp_name": "arc", "sample_number": 100, "config_file": "arc", "bootcamp_cls_name": "Arcbootcamp"}
{"bootcamp_name": "arrowmaze", "sample_number": 100, "config_file": "arrowmaze", "bootcamp_cls_name": "Arrowmazebootcamp"}
{"bootcamp_name": "bbehboardgameqa", "sample_number": 100, "config_file": "bbeh_boardgame_qa", "bootcamp_cls_name": "Bbehboardgameqabootcamp"}
{"bootcamp_name": "bbehbooleanexpressions", "sample_number": 100, "config_file": "bbeh_boolean_expressions", "bootcamp_cls_name": "Bbehbooleanexpressionsbootcamp"}
{"bootcamp_name": "bbehobjectcounting", "sample_number": 100, "config_file": "bbeh_object_counting", "bootcamp_cls_name": "Bbehobjectcountingbootcamp"}
{"bootcamp_name": "bbehobjectproperties", "sample_number": 100, "config_file": "bbeh_object_properties", "bootcamp_cls_name": "Bbehobjectpropertiesbootcamp"}
{"bootcamp_name": "bbehshuffobject", "sample_number": 100, "config_file": "bbeh_shuff_object", "bootcamp_cls_name": "Bbehshuffobjectbootcamp"}
{"bootcamp_name": "BBEHBuggyTables", "sample_number": 100, "config_file": "BBEHBuggyTables", "bootcamp_cls_name": "BBEHBuggyTablesbootcamp"}
{"bootcamp_name": "BbehDyckLanguages", "sample_number": 100, "config_file": "BbehDyckLanguages", "bootcamp_cls_name": "BbehDyckLanguagesbootcamp"}
{"bootcamp_name": "BbehGeometricShapes", "sample_number": 100, "config_file": "BbehGeometricShapes", "bootcamp_cls_name": "BbehGeometricShapesbootcamp"}
{"bootcamp_name": "BbehMultistepArithmetic", "sample_number": 100, "config_file": "BbehMultistepArithmetic", "bootcamp_cls_name": "BbehMultistepArithmeticbootcamp"}
{"bootcamp_name": "BBEHMultistepArithmeticV2", "sample_number": 100, "config_file": "BBEHMultistepArithmeticV2", "bootcamp_cls_name": "BBEHMultistepArithmeticV2bootcamp"}
{"bootcamp_name": "BbehTemporalSequences", "sample_number": 100, "config_file": "BbehTemporalSequences", "bootcamp_cls_name": "BbehTemporalSequencesbootcamp"}
{"bootcamp_name": "BbehWebOfLies", "sample_number": 100, "config_file": "BbehWebOfLies", "bootcamp_cls_name": "BbehWebOfLiesbootcamp"}
{"bootcamp_name": "BbehWordSorting", "sample_number": 100, "config_file": "BbehWordSorting", "bootcamp_cls_name": "BbehWordSortingbootcamp"}
{"bootcamp_name": "binairo", "sample_number": 100, "config_file": "binairo", "bootcamp_cls_name": "Binairobootcamp"}
{"bootcamp_name": "calcudoku", "sample_number": 100, "config_file": "calcudoku", "bootcamp_cls_name": "Calcudokubootcamp"}
{"bootcamp_name": "campsite", "sample_number": 100, "config_file": "campsite", "bootcamp_cls_name": "Campsitebootcamp"}
{"bootcamp_name": "cipher", "sample_number": 100, "config_file": "cipher", "bootcamp_cls_name": "Cipherbootcamp"}
{"bootcamp_name": "cryptomath", "sample_number": 100, "config_file": "crypto_math", "bootcamp_cls_name": "Cryptomathbootcamp"}
{"bootcamp_name": "dominosa", "sample_number": 100, "config_file": "dominosa", "bootcamp_cls_name": "Dominosabootcamp"}
{"bootcamp_name": "futoshiki", "sample_number": 100, "config_file": "futoshiki", "bootcamp_cls_name": "Futoshikibootcamp"}
{"bootcamp_name": "galaxies", "sample_number": 100, "config_file": "galaxies", "bootcamp_cls_name": "Galaxiesbootcamp"}
{"bootcamp_name": "game24", "sample_number": 100, "config_file": "game24", "bootcamp_cls_name": "Game24bootcamp"}
{"bootcamp_name": "heyawake", "sample_number": 100, "config_file": "heyawake", "bootcamp_cls_name": "Heyawakebootcamp"}
{"bootcamp_name": "hitori", "sample_number": 100, "config_file": "hitori", "bootcamp_cls_name": "Hitoribootcamp"}
{"bootcamp_name": "kakurasu", "sample_number": 100, "config_file": "kakurasu", "bootcamp_cls_name": "Kakurasubootcamp"}
{"bootcamp_name": "kakuro", "sample_number": 100, "config_file": "kakuro", "bootcamp_cls_name": "Kakurobootcamp"}
{"bootcamp_name": "korCipherCustomInverseShiftSubstitutionCipher", "sample_number": 100, "config_file": "korCipherCustomInverseShiftSubstitutionCipher", "bootcamp_cls_name": "KorCipherCustomInverseShiftSubstitutionCipherbootcamp"}
{"bootcamp_name": "korLogicAnalogicalReasoning", "sample_number": 100, "config_file": "korLogicAnalogicalReasoning", "bootcamp_cls_name": "KorLogicAnalogicalReasoningbootcamp"}
{"bootcamp_name": "korLogicCanonicalPropositions", "sample_number": 100, "config_file": "korLogicCanonicalPropositions", "bootcamp_cls_name": "KorLogicCanonicalPropositionsbootcamp"}
{"bootcamp_name": "korLogicCooperativePrinciple", "sample_number": 100, "config_file": "korLogicCooperativePrinciple", "bootcamp_cls_name": "KorLogicCooperativePrinciplebootcamp"}
{"bootcamp_name": "korLogicDefinitions", "sample_number": 100, "config_file": "korLogicDefinitions", "bootcamp_cls_name": "KorLogicDefinitionsbootcamp"}
{"bootcamp_name": "korLogicDerivativeReasoningOfPropositionalLogic", "sample_number": 100, "config_file": "korLogicDerivativeReasoningOfPropositionalLogic", "bootcamp_cls_name": "KorLogicDerivativeReasoningOfPropositionalLogicbootcamp"}
{"bootcamp_name": "korLogicDisjunctiveNormalFormAndConjunctiveNormalForm", "sample_number": 100, "config_file": "korLogicDisjunctiveNormalFormAndConjunctiveNormalForm", "bootcamp_cls_name": "KorLogicDisjunctiveNormalFormAndConjunctiveNormalFormbootcamp"}
{"bootcamp_name": "korLogicDynamicLogic", "sample_number": 100, "config_file": "korLogicDynamicLogic", "bootcamp_cls_name": "KorLogicDynamicLogicbootcamp"}
{"bootcamp_name": "korLogicEnumerativeInductiveReasoning", "sample_number": 100, "config_file": "korLogicEnumerativeInductiveReasoning", "bootcamp_cls_name": "KorLogicEnumerativeInductiveReasoningbootcamp"}
{"bootcamp_name": "korLogicEpistemicLogic", "sample_number": 100, "config_file": "korLogicEpistemicLogic", "bootcamp_cls_name": "KorLogicEpistemicLogicbootcamp"}
{"bootcamp_name": "korLogicEquivalenceCalculus", "sample_number": 100, "config_file": "korLogicEquivalenceCalculus", "bootcamp_cls_name": "KorLogicEquivalenceCalculusbootcamp"}
{"bootcamp_name": "korLogicFigureOfTheSyllogism", "sample_number": 100, "config_file": "korLogicFigureOfTheSyllogism", "bootcamp_cls_name": "KorLogicFigureOfTheSyllogismbootcamp"}
{"bootcamp_name": "korLogicFormalFallacies", "sample_number": 100, "config_file": "korLogicFormalFallacies", "bootcamp_cls_name": "KorLogicFormalFallaciesbootcamp"}
{"bootcamp_name": "korLogicInductionParadox", "sample_number": 100, "config_file": "korLogicInductionParadox", "bootcamp_cls_name": "KorLogicInductionParadoxbootcamp"}
{"bootcamp_name": "korLogicLogicalMethodsForExploringCauseAndEffectRelationships", "sample_number": 100, "config_file": "korLogicLogicalMethodsForExploringCauseAndEffectRelationships", "bootcamp_cls_name": "KorLogicLogicalMethodsForExploringCauseAndEffectRelationshipsbootcamp"}
{"bootcamp_name": "korLogicPredicateLogicFormalization", "sample_number": 100, "config_file": "korLogicPredicateLogicFormalization", "bootcamp_cls_name": "KorLogicPredicateLogicFormalizationbootcamp"}
{"bootcamp_name": "korLogicPropositionalLogicConcepts", "sample_number": 100, "config_file": "korLogicPropositionalLogicConcepts", "bootcamp_cls_name": "KorLogicPropositionalLogicConceptsbootcamp"}
{"bootcamp_name": "korLogicPropositionalLogicFormalization", "sample_number": 100, "config_file": "korLogicPropositionalLogicFormalization", "bootcamp_cls_name": "KorLogicPropositionalLogicFormalizationbootcamp"}
{"bootcamp_name": "korLogicResolution", "sample_number": 100, "config_file": "korLogicResolution", "bootcamp_cls_name": "KorLogicResolutionbootcamp"}
{"bootcamp_name": "korLogicSpeechActs", "sample_number": 100, "config_file": "korLogicSpeechActs", "bootcamp_cls_name": "KorLogicSpeechActsbootcamp"}
{"bootcamp_name": "korLogicStatisticalReasoning", "sample_number": 100, "config_file": "korLogicStatisticalReasoning", "bootcamp_cls_name": "KorLogicStatisticalReasoningbootcamp"}
{"bootcamp_name": "korLogicTemporalPropositions", "sample_number": 100, "config_file": "korLogicTemporalPropositions", "bootcamp_cls_name": "KorLogicTemporalPropositionsbootcamp"}
{"bootcamp_name": "korLogicTruthValueModalPropositions", "sample_number": 100, "config_file": "korLogicTruthValueModalPropositions", "bootcamp_cls_name": "KorLogicTruthValueModalPropositionsbootcamp"}
{"bootcamp_name": "korOperationUnicode0032", "sample_number": 100, "config_file": "korOperationUnicode0032", "bootcamp_cls_name": "KorOperationUnicode0032bootcamp"}
{"bootcamp_name": "korOperationUnicode0033", "sample_number": 100, "config_file": "korOperationUnicode0033", "bootcamp_cls_name": "KorOperationUnicode0033bootcamp"}
{"bootcamp_name": "korOperationUnicode203b", "sample_number": 100, "config_file": "korOperationUnicode203b", "bootcamp_cls_name": "KorOperationUnicode203bbootcamp"}
{"bootcamp_name": "korOperationUnicode20ac", "sample_number": 100, "config_file": "korOperationUnicode20ac", "bootcamp_cls_name": "KorOperationUnicode20acbootcamp"}
{"bootcamp_name": "korOperationUnicode221e", "sample_number": 100, "config_file": "korOperationUnicode221e", "bootcamp_cls_name": "KorOperationUnicode221ebootcamp"}
{"bootcamp_name": "korOperationUnicode2295", "sample_number": 100, "config_file": "korOperationUnicode2295", "bootcamp_cls_name": "KorOperationUnicode2295bootcamp"}
{"bootcamp_name": "korOperationUnicode25a0", "sample_number": 100, "config_file": "korOperationUnicode25a0", "bootcamp_cls_name": "KorOperationUnicode25a0bootcamp"}
{"bootcamp_name": "korOperationUnicode25a1", "sample_number": 100, "config_file": "korOperationUnicode25a1", "bootcamp_cls_name": "KorOperationUnicode25a1bootcamp"}
{"bootcamp_name": "korOperationUnicode25b3", "sample_number": 100, "config_file": "korOperationUnicode25b3", "bootcamp_cls_name": "KorOperationUnicode25b3bootcamp"}
{"bootcamp_name": "korOperationUnicode25bd", "sample_number": 100, "config_file": "korOperationUnicode25bd", "bootcamp_cls_name": "KorOperationUnicode25bdbootcamp"}
{"bootcamp_name": "korOperationUnicode25cb", "sample_number": 100, "config_file": "korOperationUnicode25cb", "bootcamp_cls_name": "KorOperationUnicode25cbbootcamp"}
{"bootcamp_name": "korOperationUnicode25ce", "sample_number": 100, "config_file": "korOperationUnicode25ce", "bootcamp_cls_name": "KorOperationUnicode25cebootcamp"}
{"bootcamp_name": "korOperationUnicode25cf", "sample_number": 100, "config_file": "korOperationUnicode25cf", "bootcamp_cls_name": "KorOperationUnicode25cfbootcamp"}
{"bootcamp_name": "korOperationUnicode2605", "sample_number": 100, "config_file": "korOperationUnicode2605", "bootcamp_cls_name": "KorOperationUnicode2605bootcamp"}
{"bootcamp_name": "korOperationUnicodeffe0", "sample_number": 100, "config_file": "korOperationUnicodeffe0", "bootcamp_cls_name": "KorOperationUnicodeffe0bootcamp"}
{"bootcamp_name": "korOperationUnicodeffe1", "sample_number": 100, "config_file": "korOperationUnicodeffe1", "bootcamp_cls_name": "KorOperationUnicodeffe1bootcamp"}
{"bootcamp_name": "korPuzzle24Points", "sample_number": 100, "config_file": "korPuzzle24Points", "bootcamp_cls_name": "KorPuzzle24Pointsbootcamp"}
{"bootcamp_name": "korPuzzleArrowMaze", "sample_number": 100, "config_file": "korPuzzleArrowMaze", "bootcamp_cls_name": "KorPuzzleArrowMazebootcamp"}
{"bootcamp_name": "korPuzzleCalcudoko", "sample_number": 100, "config_file": "korPuzzleCalcudoko", "bootcamp_cls_name": "KorPuzzleCalcudokobootcamp"}
{"bootcamp_name": "korPuzzleCampsite", "sample_number": 100, "config_file": "korPuzzleCampsite", "bootcamp_cls_name": "KorPuzzleCampsitebootcamp"}
{"bootcamp_name": "korPuzzleConnectWords", "sample_number": 100, "config_file": "korPuzzleConnectWords", "bootcamp_cls_name": "KorPuzzleConnectWordsbootcamp"}
{"bootcamp_name": "korPuzzleCryptoMath", "sample_number": 100, "config_file": "korPuzzleCryptoMath", "bootcamp_cls_name": "KorPuzzleCryptoMathbootcamp"}
{"bootcamp_name": "korPuzzleKukurasu", "sample_number": 100, "config_file": "korPuzzleKukurasu", "bootcamp_cls_name": "KorPuzzleKukurasubootcamp"}
{"bootcamp_name": "korPuzzleLogicPuzzle", "sample_number": 100, "config_file": "korPuzzleLogicPuzzle", "bootcamp_cls_name": "KorPuzzleLogicPuzzlebootcamp"}
{"bootcamp_name": "korPuzzleMathPath", "sample_number": 100, "config_file": "korPuzzleMathPath", "bootcamp_cls_name": "KorPuzzleMathPathbootcamp"}
{"bootcamp_name": "korPuzzleMinesweeper", "sample_number": 100, "config_file": "korPuzzleMinesweeper", "bootcamp_cls_name": "KorPuzzleMinesweeperbootcamp"}
{"bootcamp_name": "korPuzzleSkyscrapers", "sample_number": 100, "config_file": "korPuzzleSkyscrapers", "bootcamp_cls_name": "KorPuzzleSkyscrapersbootcamp"}
{"bootcamp_name": "korPuzzleWordBrainTeasers", "sample_number": 100, "config_file": "korPuzzleWordBrainTeasers", "bootcamp_cls_name": "KorPuzzleWordBrainTeasersbootcamp"}
{"bootcamp_name": "korPuzzleWordLadder", "sample_number": 100, "config_file": "korPuzzleWordLadder", "bootcamp_cls_name": "KorPuzzleWordLadderbootcamp"}
{"bootcamp_name": "korPuzzleWordRootsAndAffixes", "sample_number": 100, "config_file": "korPuzzleWordRootsAndAffixes", "bootcamp_cls_name": "KorPuzzleWordRootsAndAffixesbootcamp"}
{"bootcamp_name": "korPuzzleWordscapes", "sample_number": 100, "config_file": "korPuzzleWordscapes", "bootcamp_cls_name": "KorPuzzleWordscapesbootcamp"}
{"bootcamp_name": "korPuzzleWordSearch", "sample_number": 100, "config_file": "korPuzzleWordSearch", "bootcamp_cls_name": "KorPuzzleWordSearchbootcamp"}
{"bootcamp_name": "LightUp", "sample_number": 100, "config_file": "Light_Up", "bootcamp_cls_name": "LightUpbootcamp"}
{"bootcamp_name": "maze", "sample_number": 100, "config_file": "maze", "bootcamp_cls_name": "Mazebootcamp"}
{"bootcamp_name": "minesweeper", "sample_number": 100, "config_file": "minesweeper", "bootcamp_cls_name": "Minesweeperbootcamp"}
{"bootcamp_name": "nonograms", "sample_number": 100, "config_file": "nonograms", "bootcamp_cls_name": "Nonogramsbootcamp"}
{"bootcamp_name": "pipes", "sample_number": 100, "config_file": "pipes", "bootcamp_cls_name": "Pipesbootcamp"}
{"bootcamp_name": "skyscrapers", "sample_number": 100, "config_file": "skyscrapers", "bootcamp_cls_name": "Skyscrapersbootcamp"}
{"bootcamp_name": "slitherlink", "sample_number": 100, "config_file": "slitherlink", "bootcamp_cls_name": "Slitherlinkbootcamp"}
{"bootcamp_name": "starbattle", "sample_number": 100, "config_file": "starbattle", "bootcamp_cls_name": "Starbattlebootcamp"}
{"bootcamp_name": "stitches", "sample_number": 100, "config_file": "stitches", "bootcamp_cls_name": "Stitchesbootcamp"}
{"bootcamp_name": "sudoku", "sample_number": 100, "config_file": "sudoku", "bootcamp_cls_name": "Sudokubootcamp"}
{"bootcamp_name": "tents", "sample_number": 100, "config_file": "tents", "bootcamp_cls_name": "Tentsbootcamp"}
{"bootcamp_name": "thermometers", "sample_number": 100, "config_file": "thermometers", "bootcamp_cls_name": "Thermometersbootcamp"}

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examples/pipelines/data_configs/data_config_train.jsonl
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{"bootcamp_name": "aquarium", "sample_number": 1000, "config_file": "aquarium", "bootcamp_cls_name": "Aquariumbootcamp"} {"bootcamp_name": "medcalculator", "sample_number": 100000, "config_file": "med_calculator", "bootcamp_cls_name": "Medcalculatorbootcamp"}
{"bootcamp_name": "arc", "sample_number": 1000, "config_file": "arc", "bootcamp_cls_name": "Arcbootcamp"}
{"bootcamp_name": "arrowmaze", "sample_number": 1000, "config_file": "arrowmaze", "bootcamp_cls_name": "Arrowmazebootcamp"}
{"bootcamp_name": "bbehboardgameqa", "sample_number": 1000, "config_file": "bbeh_boardgame_qa", "bootcamp_cls_name": "Bbehboardgameqabootcamp"}
{"bootcamp_name": "bbehbooleanexpressions", "sample_number": 1000, "config_file": "bbeh_boolean_expressions", "bootcamp_cls_name": "Bbehbooleanexpressionsbootcamp"}
{"bootcamp_name": "bbehobjectcounting", "sample_number": 1000, "config_file": "bbeh_object_counting", "bootcamp_cls_name": "Bbehobjectcountingbootcamp"}
{"bootcamp_name": "bbehobjectproperties", "sample_number": 1000, "config_file": "bbeh_object_properties", "bootcamp_cls_name": "Bbehobjectpropertiesbootcamp"}
{"bootcamp_name": "bbehshuffobject", "sample_number": 1000, "config_file": "bbeh_shuff_object", "bootcamp_cls_name": "Bbehshuffobjectbootcamp"}
{"bootcamp_name": "BBEHBuggyTables", "sample_number": 1000, "config_file": "BBEHBuggyTables", "bootcamp_cls_name": "BBEHBuggyTablesbootcamp"}
{"bootcamp_name": "BbehDyckLanguages", "sample_number": 1000, "config_file": "BbehDyckLanguages", "bootcamp_cls_name": "BbehDyckLanguagesbootcamp"}
{"bootcamp_name": "BbehGeometricShapes", "sample_number": 1000, "config_file": "BbehGeometricShapes", "bootcamp_cls_name": "BbehGeometricShapesbootcamp"}
{"bootcamp_name": "BbehMultistepArithmetic", "sample_number": 1000, "config_file": "BbehMultistepArithmetic", "bootcamp_cls_name": "BbehMultistepArithmeticbootcamp"}
{"bootcamp_name": "BBEHMultistepArithmeticV2", "sample_number": 1000, "config_file": "BBEHMultistepArithmeticV2", "bootcamp_cls_name": "BBEHMultistepArithmeticV2bootcamp"}
{"bootcamp_name": "BbehTemporalSequences", "sample_number": 1000, "config_file": "BbehTemporalSequences", "bootcamp_cls_name": "BbehTemporalSequencesbootcamp"}
{"bootcamp_name": "BbehWebOfLies", "sample_number": 1000, "config_file": "BbehWebOfLies", "bootcamp_cls_name": "BbehWebOfLiesbootcamp"}
{"bootcamp_name": "BbehWordSorting", "sample_number": 1000, "config_file": "BbehWordSorting", "bootcamp_cls_name": "BbehWordSortingbootcamp"}
{"bootcamp_name": "binairo", "sample_number": 1000, "config_file": "binairo", "bootcamp_cls_name": "Binairobootcamp"}
{"bootcamp_name": "calcudoku", "sample_number": 1000, "config_file": "calcudoku", "bootcamp_cls_name": "Calcudokubootcamp"}
{"bootcamp_name": "campsite", "sample_number": 1000, "config_file": "campsite", "bootcamp_cls_name": "Campsitebootcamp"}
{"bootcamp_name": "cipher", "sample_number": 1000, "config_file": "cipher", "bootcamp_cls_name": "Cipherbootcamp"}
{"bootcamp_name": "cryptomath", "sample_number": 1000, "config_file": "crypto_math", "bootcamp_cls_name": "Cryptomathbootcamp"}
{"bootcamp_name": "dominosa", "sample_number": 1000, "config_file": "dominosa", "bootcamp_cls_name": "Dominosabootcamp"}
{"bootcamp_name": "futoshiki", "sample_number": 1000, "config_file": "futoshiki", "bootcamp_cls_name": "Futoshikibootcamp"}
{"bootcamp_name": "galaxies", "sample_number": 1000, "config_file": "galaxies", "bootcamp_cls_name": "Galaxiesbootcamp"}
{"bootcamp_name": "game24", "sample_number": 1000, "config_file": "game24", "bootcamp_cls_name": "Game24bootcamp"}
{"bootcamp_name": "heyawake", "sample_number": 1000, "config_file": "heyawake", "bootcamp_cls_name": "Heyawakebootcamp"}
{"bootcamp_name": "hitori", "sample_number": 1000, "config_file": "hitori", "bootcamp_cls_name": "Hitoribootcamp"}
{"bootcamp_name": "kakurasu", "sample_number": 1000, "config_file": "kakurasu", "bootcamp_cls_name": "Kakurasubootcamp"}
{"bootcamp_name": "kakuro", "sample_number": 1000, "config_file": "kakuro", "bootcamp_cls_name": "Kakurobootcamp"}
{"bootcamp_name": "korCipherCustomInverseShiftSubstitutionCipher", "sample_number": 1000, "config_file": "korCipherCustomInverseShiftSubstitutionCipher", "bootcamp_cls_name": "KorCipherCustomInverseShiftSubstitutionCipherbootcamp"}
{"bootcamp_name": "korLogicAnalogicalReasoning", "sample_number": 1000, "config_file": "korLogicAnalogicalReasoning", "bootcamp_cls_name": "KorLogicAnalogicalReasoningbootcamp"}
{"bootcamp_name": "korLogicCanonicalPropositions", "sample_number": 1000, "config_file": "korLogicCanonicalPropositions", "bootcamp_cls_name": "KorLogicCanonicalPropositionsbootcamp"}
{"bootcamp_name": "korLogicCooperativePrinciple", "sample_number": 1000, "config_file": "korLogicCooperativePrinciple", "bootcamp_cls_name": "KorLogicCooperativePrinciplebootcamp"}
{"bootcamp_name": "korLogicDefinitions", "sample_number": 1000, "config_file": "korLogicDefinitions", "bootcamp_cls_name": "KorLogicDefinitionsbootcamp"}
{"bootcamp_name": "korLogicDerivativeReasoningOfPropositionalLogic", "sample_number": 1000, "config_file": "korLogicDerivativeReasoningOfPropositionalLogic", "bootcamp_cls_name": "KorLogicDerivativeReasoningOfPropositionalLogicbootcamp"}
{"bootcamp_name": "korLogicDisjunctiveNormalFormAndConjunctiveNormalForm", "sample_number": 1000, "config_file": "korLogicDisjunctiveNormalFormAndConjunctiveNormalForm", "bootcamp_cls_name": "KorLogicDisjunctiveNormalFormAndConjunctiveNormalFormbootcamp"}
{"bootcamp_name": "korLogicDynamicLogic", "sample_number": 1000, "config_file": "korLogicDynamicLogic", "bootcamp_cls_name": "KorLogicDynamicLogicbootcamp"}
{"bootcamp_name": "korLogicEnumerativeInductiveReasoning", "sample_number": 1000, "config_file": "korLogicEnumerativeInductiveReasoning", "bootcamp_cls_name": "KorLogicEnumerativeInductiveReasoningbootcamp"}
{"bootcamp_name": "korLogicEpistemicLogic", "sample_number": 1000, "config_file": "korLogicEpistemicLogic", "bootcamp_cls_name": "KorLogicEpistemicLogicbootcamp"}
{"bootcamp_name": "korLogicEquivalenceCalculus", "sample_number": 1000, "config_file": "korLogicEquivalenceCalculus", "bootcamp_cls_name": "KorLogicEquivalenceCalculusbootcamp"}
{"bootcamp_name": "korLogicFigureOfTheSyllogism", "sample_number": 1000, "config_file": "korLogicFigureOfTheSyllogism", "bootcamp_cls_name": "KorLogicFigureOfTheSyllogismbootcamp"}
{"bootcamp_name": "korLogicFormalFallacies", "sample_number": 1000, "config_file": "korLogicFormalFallacies", "bootcamp_cls_name": "KorLogicFormalFallaciesbootcamp"}
{"bootcamp_name": "korLogicInductionParadox", "sample_number": 1000, "config_file": "korLogicInductionParadox", "bootcamp_cls_name": "KorLogicInductionParadoxbootcamp"}
{"bootcamp_name": "korLogicLogicalMethodsForExploringCauseAndEffectRelationships", "sample_number": 1000, "config_file": "korLogicLogicalMethodsForExploringCauseAndEffectRelationships", "bootcamp_cls_name": "KorLogicLogicalMethodsForExploringCauseAndEffectRelationshipsbootcamp"}
{"bootcamp_name": "korLogicPredicateLogicFormalization", "sample_number": 1000, "config_file": "korLogicPredicateLogicFormalization", "bootcamp_cls_name": "KorLogicPredicateLogicFormalizationbootcamp"}
{"bootcamp_name": "korLogicPropositionalLogicConcepts", "sample_number": 1000, "config_file": "korLogicPropositionalLogicConcepts", "bootcamp_cls_name": "KorLogicPropositionalLogicConceptsbootcamp"}
{"bootcamp_name": "korLogicPropositionalLogicFormalization", "sample_number": 1000, "config_file": "korLogicPropositionalLogicFormalization", "bootcamp_cls_name": "KorLogicPropositionalLogicFormalizationbootcamp"}
{"bootcamp_name": "korLogicResolution", "sample_number": 1000, "config_file": "korLogicResolution", "bootcamp_cls_name": "KorLogicResolutionbootcamp"}
{"bootcamp_name": "korLogicSpeechActs", "sample_number": 1000, "config_file": "korLogicSpeechActs", "bootcamp_cls_name": "KorLogicSpeechActsbootcamp"}
{"bootcamp_name": "korLogicStatisticalReasoning", "sample_number": 1000, "config_file": "korLogicStatisticalReasoning", "bootcamp_cls_name": "KorLogicStatisticalReasoningbootcamp"}
{"bootcamp_name": "korLogicTemporalPropositions", "sample_number": 1000, "config_file": "korLogicTemporalPropositions", "bootcamp_cls_name": "KorLogicTemporalPropositionsbootcamp"}
{"bootcamp_name": "korLogicTruthValueModalPropositions", "sample_number": 1000, "config_file": "korLogicTruthValueModalPropositions", "bootcamp_cls_name": "KorLogicTruthValueModalPropositionsbootcamp"}
{"bootcamp_name": "korOperationUnicode0032", "sample_number": 1000, "config_file": "korOperationUnicode0032", "bootcamp_cls_name": "KorOperationUnicode0032bootcamp"}
{"bootcamp_name": "korOperationUnicode0033", "sample_number": 1000, "config_file": "korOperationUnicode0033", "bootcamp_cls_name": "KorOperationUnicode0033bootcamp"}
{"bootcamp_name": "korOperationUnicode203b", "sample_number": 1000, "config_file": "korOperationUnicode203b", "bootcamp_cls_name": "KorOperationUnicode203bbootcamp"}
{"bootcamp_name": "korOperationUnicode20ac", "sample_number": 1000, "config_file": "korOperationUnicode20ac", "bootcamp_cls_name": "KorOperationUnicode20acbootcamp"}
{"bootcamp_name": "korOperationUnicode221e", "sample_number": 1000, "config_file": "korOperationUnicode221e", "bootcamp_cls_name": "KorOperationUnicode221ebootcamp"}
{"bootcamp_name": "korOperationUnicode2295", "sample_number": 1000, "config_file": "korOperationUnicode2295", "bootcamp_cls_name": "KorOperationUnicode2295bootcamp"}
{"bootcamp_name": "korOperationUnicode25a0", "sample_number": 1000, "config_file": "korOperationUnicode25a0", "bootcamp_cls_name": "KorOperationUnicode25a0bootcamp"}
{"bootcamp_name": "korOperationUnicode25a1", "sample_number": 1000, "config_file": "korOperationUnicode25a1", "bootcamp_cls_name": "KorOperationUnicode25a1bootcamp"}
{"bootcamp_name": "korOperationUnicode25b3", "sample_number": 1000, "config_file": "korOperationUnicode25b3", "bootcamp_cls_name": "KorOperationUnicode25b3bootcamp"}
{"bootcamp_name": "korOperationUnicode25bd", "sample_number": 1000, "config_file": "korOperationUnicode25bd", "bootcamp_cls_name": "KorOperationUnicode25bdbootcamp"}
{"bootcamp_name": "korOperationUnicode25cb", "sample_number": 1000, "config_file": "korOperationUnicode25cb", "bootcamp_cls_name": "KorOperationUnicode25cbbootcamp"}
{"bootcamp_name": "korOperationUnicode25ce", "sample_number": 1000, "config_file": "korOperationUnicode25ce", "bootcamp_cls_name": "KorOperationUnicode25cebootcamp"}
{"bootcamp_name": "korOperationUnicode25cf", "sample_number": 1000, "config_file": "korOperationUnicode25cf", "bootcamp_cls_name": "KorOperationUnicode25cfbootcamp"}
{"bootcamp_name": "korOperationUnicode2605", "sample_number": 1000, "config_file": "korOperationUnicode2605", "bootcamp_cls_name": "KorOperationUnicode2605bootcamp"}
{"bootcamp_name": "korOperationUnicodeffe0", "sample_number": 1000, "config_file": "korOperationUnicodeffe0", "bootcamp_cls_name": "KorOperationUnicodeffe0bootcamp"}
{"bootcamp_name": "korOperationUnicodeffe1", "sample_number": 1000, "config_file": "korOperationUnicodeffe1", "bootcamp_cls_name": "KorOperationUnicodeffe1bootcamp"}
{"bootcamp_name": "korPuzzle24Points", "sample_number": 1000, "config_file": "korPuzzle24Points", "bootcamp_cls_name": "KorPuzzle24Pointsbootcamp"}
{"bootcamp_name": "korPuzzleArrowMaze", "sample_number": 1000, "config_file": "korPuzzleArrowMaze", "bootcamp_cls_name": "KorPuzzleArrowMazebootcamp"}
{"bootcamp_name": "korPuzzleCalcudoko", "sample_number": 1000, "config_file": "korPuzzleCalcudoko", "bootcamp_cls_name": "KorPuzzleCalcudokobootcamp"}
{"bootcamp_name": "korPuzzleCampsite", "sample_number": 1000, "config_file": "korPuzzleCampsite", "bootcamp_cls_name": "KorPuzzleCampsitebootcamp"}
{"bootcamp_name": "korPuzzleConnectWords", "sample_number": 1000, "config_file": "korPuzzleConnectWords", "bootcamp_cls_name": "KorPuzzleConnectWordsbootcamp"}
{"bootcamp_name": "korPuzzleCryptoMath", "sample_number": 1000, "config_file": "korPuzzleCryptoMath", "bootcamp_cls_name": "KorPuzzleCryptoMathbootcamp"}
{"bootcamp_name": "korPuzzleKukurasu", "sample_number": 1000, "config_file": "korPuzzleKukurasu", "bootcamp_cls_name": "KorPuzzleKukurasubootcamp"}
{"bootcamp_name": "korPuzzleLogicPuzzle", "sample_number": 1000, "config_file": "korPuzzleLogicPuzzle", "bootcamp_cls_name": "KorPuzzleLogicPuzzlebootcamp"}
{"bootcamp_name": "korPuzzleMathPath", "sample_number": 1000, "config_file": "korPuzzleMathPath", "bootcamp_cls_name": "KorPuzzleMathPathbootcamp"}
{"bootcamp_name": "korPuzzleMinesweeper", "sample_number": 1000, "config_file": "korPuzzleMinesweeper", "bootcamp_cls_name": "KorPuzzleMinesweeperbootcamp"}
{"bootcamp_name": "korPuzzleSkyscrapers", "sample_number": 1000, "config_file": "korPuzzleSkyscrapers", "bootcamp_cls_name": "KorPuzzleSkyscrapersbootcamp"}
{"bootcamp_name": "korPuzzleWordBrainTeasers", "sample_number": 1000, "config_file": "korPuzzleWordBrainTeasers", "bootcamp_cls_name": "KorPuzzleWordBrainTeasersbootcamp"}
{"bootcamp_name": "korPuzzleWordLadder", "sample_number": 1000, "config_file": "korPuzzleWordLadder", "bootcamp_cls_name": "KorPuzzleWordLadderbootcamp"}
{"bootcamp_name": "korPuzzleWordRootsAndAffixes", "sample_number": 1000, "config_file": "korPuzzleWordRootsAndAffixes", "bootcamp_cls_name": "KorPuzzleWordRootsAndAffixesbootcamp"}
{"bootcamp_name": "korPuzzleWordscapes", "sample_number": 1000, "config_file": "korPuzzleWordscapes", "bootcamp_cls_name": "KorPuzzleWordscapesbootcamp"}
{"bootcamp_name": "korPuzzleWordSearch", "sample_number": 1000, "config_file": "korPuzzleWordSearch", "bootcamp_cls_name": "KorPuzzleWordSearchbootcamp"}
{"bootcamp_name": "LightUp", "sample_number": 1000, "config_file": "Light_Up", "bootcamp_cls_name": "LightUpbootcamp"}
{"bootcamp_name": "maze", "sample_number": 1000, "config_file": "maze", "bootcamp_cls_name": "Mazebootcamp"}
{"bootcamp_name": "minesweeper", "sample_number": 1000, "config_file": "minesweeper", "bootcamp_cls_name": "Minesweeperbootcamp"}
{"bootcamp_name": "nonograms", "sample_number": 1000, "config_file": "nonograms", "bootcamp_cls_name": "Nonogramsbootcamp"}
{"bootcamp_name": "pipes", "sample_number": 1000, "config_file": "pipes", "bootcamp_cls_name": "Pipesbootcamp"}
{"bootcamp_name": "skyscrapers", "sample_number": 1000, "config_file": "skyscrapers", "bootcamp_cls_name": "Skyscrapersbootcamp"}
{"bootcamp_name": "slitherlink", "sample_number": 1000, "config_file": "slitherlink", "bootcamp_cls_name": "Slitherlinkbootcamp"}
{"bootcamp_name": "starbattle", "sample_number": 1000, "config_file": "starbattle", "bootcamp_cls_name": "Starbattlebootcamp"}
{"bootcamp_name": "stitches", "sample_number": 1000, "config_file": "stitches", "bootcamp_cls_name": "Stitchesbootcamp"}
{"bootcamp_name": "sudoku", "sample_number": 1000, "config_file": "sudoku", "bootcamp_cls_name": "Sudokubootcamp"}
{"bootcamp_name": "tents", "sample_number": 1000, "config_file": "tents", "bootcamp_cls_name": "Tentsbootcamp"}
{"bootcamp_name": "thermometers", "sample_number": 1000, "config_file": "thermometers", "bootcamp_cls_name": "Thermometersbootcamp"}

3
examples/pipelines/puzzle_configs/med_calculator_test.json Normal file
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@ -0,0 +1,3 @@
[
{"conf_file":"./internbootcamp/libs/med_calculator/med_calculator.json"}
]

3
examples/pipelines/puzzle_configs/med_calculator_train.json Normal file
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@ -0,0 +1,3 @@
[
{"conf_file":"./internbootcamp/libs/med_calculator/med_calculator.json"}
]

2
examples/pipelines/quickgen_data_configs.py
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@ -8,7 +8,7 @@ import glob
import re import re
# 每个puzzle的gen数量 # 每个puzzle的gen数量
train_sample_number = 1000 train_sample_number = 10000
test_sample_number = 100 test_sample_number = 100
def checkpath(target_dir): def checkpath(target_dir):

6
examples/pipelines/run_pipeline.sh
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@ -17,8 +17,10 @@ max_prompt_len=4096
max_jobs=60 # 设置最大并发进程数 max_jobs=60 # 设置最大并发进程数
jobs=() # 用于存储后台进程的PID jobs=() # 用于存储后台进程的PID
# initialize, do not modify this
cipher_test_nums_for_single_cipher=0 cipher_test_nums_for_single_cipher=0
cipehr_train_nums_for_single_cipher=0 cipher_train_nums_for_single_cipher=0
while IFS= read -r line || [ -n "$line" ]; do while IFS= read -r line || [ -n "$line" ]; do
# 跳过空行 # 跳过空行
@ -135,7 +137,7 @@ python examples/pipelines/cipher_data_generator.py \
# cipher train——set gen # cipher train——set gen
python examples/pipelines/cipher_data_generator.py \ python examples/pipelines/cipher_data_generator.py \
--nums $cipehr_train_nums_for_single_cipher \ --nums $cipher_train_nums_for_single_cipher \
--split train \ --split train \
--timestamp $timestamp \ --timestamp $timestamp \
--filepath $cipher_input_file --filepath $cipher_input_file

7
examples/unittests/run_eval.py
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@ -20,6 +20,7 @@ TEMPLATE_MAP = {
"qwen": {"chat_template":"<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n{input}<|im_end|>\n<|im_start|>assistant\n","stop_words":["<|im_end|>", "<|endoftext|>"]}, # default qwen template "qwen": {"chat_template":"<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n{input}<|im_end|>\n<|im_start|>assistant\n","stop_words":["<|im_end|>", "<|endoftext|>"]}, # default qwen template
"internthinker":{"chat_template":"<|im_start|>system\nYou are an expert reasoner with extensive experience in mathematical and code competitions. You approach problems through systematic thinking and rigorous reasoning. Your response should reflect deep understanding and precise logical thinking, making your solution path and reasoning clear to others. Please put your thinking process within <think>...</think> tags.<|im_end|>\n<|im_start|>user\n{input}<|im_end|>\n<|im_start|>assistant\n","stop_words":["<|im_end|>", "<|endoftext|>"]}, "internthinker":{"chat_template":"<|im_start|>system\nYou are an expert reasoner with extensive experience in mathematical and code competitions. You approach problems through systematic thinking and rigorous reasoning. Your response should reflect deep understanding and precise logical thinking, making your solution path and reasoning clear to others. Please put your thinking process within <think>...</think> tags.<|im_end|>\n<|im_start|>user\n{input}<|im_end|>\n<|im_start|>assistant\n","stop_words":["<|im_end|>", "<|endoftext|>"]},
"internbootcamp":{"chat_template":"<|im_start|>system\nYou are an expert reasoner with extensive experience in mathematical and code competitions. You approach problems through systematic thinking and rigorous reasoning. Your response should reflect deep understanding and precise logical thinking, making your solution path and reasoning clear to others. Please put your thinking process within <think>...</think> tags. After careful thought, present your final solution or answer clearly.<|im_end|>\n<|im_start|>user\n{input}<|im_end|>\n<|im_start|>assistant\n","stop_words":["<|im_end|>", "<|endoftext|>"]}, "internbootcamp":{"chat_template":"<|im_start|>system\nYou are an expert reasoner with extensive experience in mathematical and code competitions. You approach problems through systematic thinking and rigorous reasoning. Your response should reflect deep understanding and precise logical thinking, making your solution path and reasoning clear to others. Please put your thinking process within <think>...</think> tags. After careful thought, present your final solution or answer clearly.<|im_end|>\n<|im_start|>user\n{input}<|im_end|>\n<|im_start|>assistant\n","stop_words":["<|im_end|>", "<|endoftext|>"]},
"internbootcamp_v2":{"chat_template":"<|im_start|>system\nYou are a helpful assistant, skilled at solving various complex reasoning problems. When faced with any user questions, please first conduct a detailed thinking process, similar to drafting, where you can freely analyze problem-solving strategies and verify the correctness of your thought process. Please put your thinking process within <think> and </think> tags. After completing the thinking process, provide the user with a detailed response. Please note that the response accessible to the user will start after \"</think>\", so ensure that detailed chain-of-thought solution steps should be provided after the </think> tag.<|im_end|>\n<|im_start|>user\n{input}<|im_end|>\n<|im_start|>assistant\n","stop_words":["<|im_end|>", "<|endoftext|>"]},
"chatml":{"chat_template":"<|im_start|>user\n{input}<|im_end|>\n<|im_start|>assistant\n","stop_words":["<|im_end|>", "<|endoftext|>"]}, # No sys prompt chatml "chatml":{"chat_template":"<|im_start|>user\n{input}<|im_end|>\n<|im_start|>assistant\n","stop_words":["<|im_end|>", "<|endoftext|>"]}, # No sys prompt chatml
} }
@ -249,13 +250,13 @@ async def main():
help='Base URL of the OpenAI API compatible service. Default format is http://{ip}:{port}/v1.') help='Base URL of the OpenAI API compatible service. Default format is http://{ip}:{port}/v1.')
parser.add_argument('--api_key', default='EMPTY', parser.add_argument('--api_key', default='EMPTY',
help='API key for accessing the model service. Set to "EMPTY" if no key is required.') help='API key for accessing the model service. Set to "EMPTY" if no key is required.')
parser.add_argument('--model_name', default='DeepSeek-R1-Distill-Qwen-32B', parser.add_argument('--model_name', default='Qwen2.5-32B-Instruct',
help='Name of the model to be evaluated, e.g., r1_32B or other custom model name.') help='Name of the model to be evaluated, e.g., r1_32B or other custom model name.')
parser.add_argument('--test_dir', default='/cpfs01/shared/llm_ddd/lipeiji/InternBootcamp/examples/bootcamp_generator_outputs/2025-05-30-16:26:35/test', parser.add_argument('--test_dir', default='/cpfs01/shared/llm_ddd/lipeiji/InternBootcamp/examples/bootcamp_generator_outputs/2025-06-12-14:29:13/test',
help='Path to the directory containing test JSONL files for evaluation.') help='Path to the directory containing test JSONL files for evaluation.')
parser.add_argument('--max_concurrent_requests', type=int, default=144, parser.add_argument('--max_concurrent_requests', type=int, default=144,
help='Maximum number of concurrent requests allowed globally.') help='Maximum number of concurrent requests allowed globally.')
parser.add_argument('--template', default='r1',choices=['r1', 'qwen', 'internthinker', 'chatml'], parser.add_argument('--template', default='internbootcamp_v2',choices=['r1', 'qwen', 'internthinker', 'chatml','internbootcamp'],
help='Predefined conversation template used to format prompts. Only valid when api_mode is completion.') help='Predefined conversation template used to format prompts. Only valid when api_mode is completion.')
parser.add_argument('--max_tokens', type=int, default=8192, parser.add_argument('--max_tokens', type=int, default=8192,
help='Maximum number of tokens the model can generate.') help='Maximum number of tokens the model can generate.')

2
examples/verl_usage/verl_data_preprocess.py
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@ -94,7 +94,7 @@ def convert_to_parquet(src_jsonl, tgt_parquet, split, shuffle=True):
"prompt": [ "prompt": [
{ {
"role": "system", "role": "system",
"content": "You are an expert reasoner with extensive experience in mathematical and code competitions. You approach problems through systematic thinking and rigorous reasoning. Your response should reflect deep understanding and precise logical thinking, making your solution path and reasoning clear to others. Please put your thinking process within <think>...</think> tags. After careful thought, present your final solution or answer clearly." "content": "You are a helpful assistant, skilled at solving various complex reasoning problems. When faced with any user questions, please first conduct a detailed thinking process, similar to drafting, where you can freely analyze problem-solving strategies and verify the correctness of your thought process. Please put your thinking process within <think> and </think> tags. After completing the thinking process, provide the user with a detailed response. Please note that the response accessible to the user will start after \"</think>\", so ensure that detailed chain-of-thought solution steps should be provided after the </think> tag."
}, },
{ {
"role": "user", "role": "user",

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1
internbootcamp/bootcamp/__init__.py
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@ -1084,3 +1084,4 @@ from .eguessthetree.eguessthetree import Eguessthetreebootcamp
from .ddistinctpaths.ddistinctpaths import Ddistinctpathsbootcamp from .ddistinctpaths.ddistinctpaths import Ddistinctpathsbootcamp
from .eereaderdisplay.eereaderdisplay import Eereaderdisplaybootcamp from .eereaderdisplay.eereaderdisplay import Eereaderdisplaybootcamp
from .clunarnewyearandnumberdivision.clunarnewyearandnumberdivision import Clunarnewyearandnumberdivisionbootcamp from .clunarnewyearandnumberdivision.clunarnewyearandnumberdivision import Clunarnewyearandnumberdivisionbootcamp
from .med_calculator.med_calculator import Medcalculatorbootcamp

13
internbootcamp/bootcamp/base.py
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@ -47,7 +47,7 @@ class Basebootcamp:
@classmethod @classmethod
def verify_score(cls, model_output, identity: dict, format_score=0, short_penalty=False, short_threshold=100, format_penalty=False) -> float: def verify_score(cls, model_output, identity: dict, format_score=0, short_penalty=False, short_threshold=256, ans_threshold=128, format_penalty=False) -> float:
""" """
Verify the output against the ground truth. Verify the output against the ground truth.
@ -60,9 +60,6 @@ class Basebootcamp:
float: The score of the output. float: The score of the output.
""" """
score = 0. score = 0.
if short_penalty and len(model_output) < short_threshold:
# if the output is too short, consider it incorrect
return score
if format_penalty and ("<think>" not in model_output or "</think>" not in model_output): if format_penalty and ("<think>" not in model_output or "</think>" not in model_output):
return score return score
if format_penalty and (model_output.count("<think>") > 1 or model_output.count("</think>") > 1 or model_output.count("<think>") != model_output.count("</think>") or not model_output.startswith("<think>") or model_output.endswith("</think>")): if format_penalty and (model_output.count("<think>") > 1 or model_output.count("</think>") > 1 or model_output.count("<think>") != model_output.count("</think>") or not model_output.startswith("<think>") or model_output.endswith("</think>")):
@ -84,6 +81,14 @@ class Basebootcamp:
except Exception as e: except Exception as e:
# print("Error in verify_score:", e) # print("Error in verify_score:", e)
pass pass
ans_output = model_output.rsplit("</think>", 1)[1] if "</think>" in model_output else ""
if (short_penalty and len(model_output) < short_threshold) or (short_penalty and len(ans_output) < ans_threshold):
# if the output is too short, consider it incorrect
return min(score * len(model_output) / short_threshold, score * len(ans_output) / ans_threshold)
# This for training Debug
if random.randint(1,1024) == 1: if random.randint(1,1024) == 1:
print("=============DEBUG=============") print("=============DEBUG=============")
print("model_output:\n", model_output) print("model_output:\n", model_output)

0
internbootcamp/bootcamp/bigcodebench/bigcodebench.py Normal file → Executable file
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0
internbootcamp/bootcamp/codeio/codeio.py Normal file → Executable file
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0
internbootcamp/bootcamp/codeio/codeio_utils.py Normal file → Executable file
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0
internbootcamp/bootcamp/instruction_following/autoif.py Normal file → Executable file
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0
internbootcamp/bootcamp/kodcode/kodcode.py Normal file → Executable file
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8
internbootcamp/bootcamp/med_calculator/med_calculator.py Normal file → Executable file
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@ -1,7 +1,7 @@
import json import json
import math import math
import random import random
from internbootcamp.bootcamp.base import Basebootcamp from bootcamp import Basebootcamp
def remove_boxed(s): def remove_boxed(s):
if "\\boxed " in s: if "\\boxed " in s:
@ -45,8 +45,8 @@ def last_boxed_only_string(string):
return retval return retval
class MedCalculatorSandbox(Basebootcamp): # 医学计算器类 class Medcalculatorbootcamp(Basebootcamp): # 医学计算器类
def __init__(self, conf_file="med_calculator.json", seed=None): def __init__(self, conf_file="./internbootcamp/libs/med_calculator/med_calculator.json", seed=None):
random.seed(seed) random.seed(seed)
with open(conf_file, "r", encoding="utf-8") as f: with open(conf_file, "r", encoding="utf-8") as f:
self.config = json.load(f) self.config = json.load(f)
@ -154,7 +154,7 @@ class MedCalculatorSandbox(Basebootcamp): # 医学计算器类
return cases return cases
if __name__ == '__main__': if __name__ == '__main__':
bootcamp = MedCalculatorSandbox(seed=42) bootcamp = MedCalculatorbootcamp(seed=42)
identity = bootcamp.case_generator() identity = bootcamp.case_generator()
print(f'{identity = }') print(f'{identity = }')

0
internbootcamp/bootcamp/med_calculator/med_calculator.json → internbootcamp/libs/med_calculator/med_calculator.json
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34
setup.py Executable file
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@ -0,0 +1,34 @@
import setuptools
setuptools.setup(
name="internbootcamp",
version="0.1.0",
url="https://github.com/InternLM/InternBootcamp/tree/main",
packages=setuptools.find_packages(include=['internbootcamp',]),
install_requires=[
"distance",
"matplotlib",
"datasets",
"jsonlines",
"fire",
"Faker",
"python-sat",
"sympy",
"openai",
"openpyxl",
"transformers",
"langdetect",
"pympler",
"shortuuid"
],
package_data={
},
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
python_requires='>=3.6',
)