AttributeError when I try to use ContextRelevance, LLMContextPrecisionWithoutReference to evaluate the test dataset

[Haoyuxiaohan]

Describe the bug I got an AttributeError: property' object has no attribute 'get' when I try to use evaluate() function to evaluate a dataset with ContextRelevance, LLMContextPrecisionWithoutReference metrics. It's working when I only use faithfulness. And it's working when I evaluate a SingleTurnSample-

Ragas version: newest version Python version: newest version

Code to Reproduce result = evaluate(eval_dataset, metrics=[faithfulness, AnswerRelevancy], llm = evaluator_llm)

Error trace File , line 27 22 eval_dataset = EvaluationDataset.from_pandas(df_bge_pd) 23 print(eval_dataset) ---> 27 result = evaluate(eval_dataset, metrics=[faithfulness, AnswerRelevancy], llm = evaluator_llm) File /local_disk0/.ephemeral_nfs/envs/pythonEnv-f55819bb-501c-45c7-93b3-dc3c0125c4ca/lib/python3.11/site-packages/ragas/validation.py:60, in validate_required_columns(ds, metrics) 58 metric_type = get_supported_metric_type(ds) 59 for m in metrics: ---> 60 required_columns = set(m.required_columns.get(metric_type, [])) 61 available_columns = set(ds.features()) 62 if not required_columns.issubset(available_columns):