o Jjg@sZUdZddlmZmZmZmZmZmZmZddl m Z ddl m Z ddl mZddlmZddlmZddlmZmZdd lmZmZdd lmZdd lmZmZdd lmZdd l m!Z!ddl"m#Z#m$Z$m%Z%ddl&m'Z'ddl(m)Z)m*Z*m+Z+ddl,m-Z-m.Z.ddl/m0Z0m1Z1de2deefddZ3ie)j4e%e)j5e$e)j6e#e)j7ee)j8e.e)j9ee)j:e-e)j;ee)je1e)j?e0e)j@ee)jAee)jBee)jCee)jDee)jEe!e)jFe'e)jGeiZHee)eee*ee ee+ffeId<ddde)dee dedee e+ffddZJdddd ee)dee d!eeKdedeee e+ff d"d#ZLdS)$z Loading datasets and evaluators.)AnyDictListOptionalSequenceTypeUnion)BaseLanguageModel)Chain)TrajectoryEvalChain)PairwiseStringEvalChain)LabeledPairwiseStringEvalChain)CriteriaEvalChainLabeledCriteriaEvalChain)EmbeddingDistanceEvalChain"PairwiseEmbeddingDistanceEvalChain)ExactMatchStringEvaluator)JsonEqualityEvaluatorJsonValidityEvaluator)JsonEditDistanceEvaluator)JsonSchemaEvaluator)ContextQAEvalChainCotQAEvalChain QAEvalChain)RegexMatchStringEvaluator) EvaluatorType LLMEvalChainStringEvaluator)LabeledScoreStringEvalChainScoreStringEvalChain)PairwiseStringDistanceEvalChainStringDistanceEvalChainurireturncCsHzddlm}Wn tytdw|d|}dd|dDS)aLoad a dataset from the `LangChainDatasets on HuggingFace `_. Args: uri: The uri of the dataset to load. Returns: A list of dictionaries, each representing a row in the dataset. **Prerequisites** .. code-block:: shell pip install datasets Examples -------- .. code-block:: python from langchain.evaluation import load_dataset ds = load_dataset("llm-math") r) load_datasetzXload_dataset requires the `datasets` package. Please install with `pip install datasets`zLangChainDatasets/cSsg|]}|qSr%).0dr%r%T/var/www/html/zoom/venv/lib/python3.10/site-packages/langchain/evaluation/loading.py Fsz load_dataset..train)datasetsr$ ImportError)r"r$datasetr%r%r(r$'s r$_EVALUATOR_MAPN)llm evaluatorr/kwargsc Ks|tvrtd|dttt|}t|trlz1zddlm}WntyAzddl m}Wn ty>tdwYnw|pJ|dddd}Wnt ya}z td |d |d }~ww|j d d |i|S|d i|S)a<Load the requested evaluation chain specified by a string. Parameters ---------- evaluator : EvaluatorType The type of evaluator to load. llm : BaseLanguageModel, optional The language model to use for evaluation, by default None **kwargs : Any Additional keyword arguments to pass to the evaluator. Returns ------- Chain The loaded evaluation chain. Examples -------- >>> from langchain.evaluation import load_evaluator, EvaluatorType >>> evaluator = load_evaluator(EvaluatorType.QA) zUnknown evaluator type: z Valid types are: r) ChatOpenAIzCould not import langchain_openai or fallback onto langchain_community. Please install langchain_openai or specify a language model explicitly. It's recommended to install langchain_openai AND specify a language model explicitly.zgpt-4*)modelseed temperaturezEvaluation with the z requires a language model to function. Failed to create the default 'gpt-4' model. Please manually provide an evaluation LLM or check your openai credentials.Nr/r%) r. ValueErrorlistkeys issubclassrlangchain_openair2r,&langchain_community.chat_models.openai Exceptionfrom_llm)r0r/r1 evaluator_clsr2er%r%r(load_evaluatorcsD       rA)r/config evaluatorsrBcKsHg}|D]}|r||ini}|t|fd|ii||q|S)aeLoad evaluators specified by a list of evaluator types. Parameters ---------- evaluators : Sequence[EvaluatorType] The list of evaluator types to load. llm : BaseLanguageModel, optional The language model to use for evaluation, if none is provided, a default ChatOpenAI gpt-4 model will be used. config : dict, optional A dictionary mapping evaluator types to additional keyword arguments, by default None **kwargs : Any Additional keyword arguments to pass to all evaluators. Returns ------- List[Chain] The loaded evaluators. Examples -------- >>> from langchain.evaluation import load_evaluators, EvaluatorType >>> evaluators = [EvaluatorType.QA, EvaluatorType.CRITERIA] >>> loaded_evaluators = load_evaluators(evaluators, criteria="helpfulness") r/)getappendrA)rCr/rBr1loadedr0_kwargsr%r%r(load_evaluatorss !$rH)M__doc__typingrrrrrrrlangchain_core.language_modelsr langchain.chains.baser 1langchain.evaluation.agents.trajectory_eval_chainr langchain.evaluation.comparisonr *langchain.evaluation.comparison.eval_chainr (langchain.evaluation.criteria.eval_chainrr,langchain.evaluation.embedding_distance.baserr%langchain.evaluation.exact_match.baser!langchain.evaluation.parsing.baserr*langchain.evaluation.parsing.json_distancer(langchain.evaluation.parsing.json_schemarlangchain.evaluation.qarrr%langchain.evaluation.regex_match.baserlangchain.evaluation.schemarrr'langchain.evaluation.scoring.eval_chainrr)langchain.evaluation.string_distance.baser r!strr$QACOT_QA CONTEXT_QAPAIRWISE_STRING SCORE_STRINGLABELED_PAIRWISE_STRINGLABELED_SCORE_STRINGAGENT_TRAJECTORYCRITERIALABELED_CRITERIASTRING_DISTANCEPAIRWISE_STRING_DISTANCEEMBEDDING_DISTANCEPAIRWISE_EMBEDDING_DISTANCE JSON_VALIDITY JSON_EQUALITYJSON_EDIT_DISTANCEJSON_SCHEMA_VALIDATION REGEX_MATCH EXACT_MATCHr.__annotations__rAdictrHr%r%r%r(s$         $       D