| from utils import ( |
| Medbullets_op4, |
| Medbullets_op5, |
| MedXpertQA, |
| MMMU, |
| OmniMedVQA, |
| PATH_VQA, |
| PMC_VQA, |
| SLAKE, |
| SuperGPQA, |
| VQA_RAD, |
| HealthBench, |
| PubMedQA, |
| MedMCQA, |
| MedQA_USMLE, |
| MMLU, |
| CMB, |
| CMExam, |
| MedQA_MCMLE, |
| CMMLU, |
| IU_XRAY, |
| CheXpert_Plus, |
| MIMIC_CXR, |
| MedFrameQA, |
| Radrestruct, |
| ) |
|
|
| |
| def prepare_benchmark(model,eval_dataset,eval_dataset_path,eval_output_path): |
| |
| supported_dataset = ["MMMU-Medical-test","MMMU-Medical-val","PATH_VQA","PMC_VQA","VQA_RAD","SLAKE","MedQA_USMLE","MedMCQA","PubMedQA","OmniMedVQA","Medbullets_op4","Medbullets_op5","MedXpertQA-Text","MedXpertQA-MM","SuperGPQA""HealthBench","IU_XRAY","CheXpert_Plus","MIMIC_CXR","CMB","CMExam","CMMLU","MedQA_MCMLE","MedFrameQA"] |
|
|
| if eval_dataset in ["MMMU-Medical-test", "MMMU-Medical-val"]: |
| if eval_dataset_path: |
| eval_dataset_path = eval_dataset_path.replace(eval_dataset,"MMMU") |
| _ , subset , split = eval_dataset.split("-") |
| dataset = MMMU(model,eval_dataset_path,eval_output_path,split,subset) |
|
|
| elif eval_dataset == "PATH_VQA": |
| dataset = PATH_VQA(model,eval_dataset_path,eval_output_path) |
|
|
| elif eval_dataset == "PMC_VQA": |
| dataset = PMC_VQA(model,eval_dataset_path,eval_output_path) |
|
|
| elif eval_dataset == "VQA_RAD": |
| dataset = VQA_RAD(model,eval_dataset_path,eval_output_path) |
|
|
| elif eval_dataset == "SLAKE": |
| dataset = SLAKE(model,eval_dataset_path,eval_output_path) |
|
|
| elif eval_dataset == "OmniMedVQA": |
| dataset = OmniMedVQA(model,eval_dataset_path,eval_output_path) |
|
|
| elif eval_dataset == "Medbullets_op4": |
| dataset = Medbullets_op4(model,eval_dataset_path,eval_output_path) |
|
|
| elif eval_dataset == "Medbullets_op5": |
| dataset = Medbullets_op5(model,eval_dataset_path,eval_output_path) |
|
|
| elif eval_dataset in ["MedXpertQA-Text","MedXpertQA-MM"]: |
| if eval_dataset_path: |
| eval_dataset_path = eval_dataset_path.replace(eval_dataset,"MedXpertQA") |
| _,split = eval_dataset.split("-") |
| dataset = MedXpertQA(model,eval_dataset_path,eval_output_path,split) |
|
|
| elif eval_dataset == "SuperGPQA": |
| dataset = SuperGPQA(model,eval_dataset_path,eval_output_path) |
| |
| elif eval_dataset == "HealthBench": |
| dataset =HealthBench(model,eval_dataset_path,eval_output_path) |
| |
| elif eval_dataset == "PubMedQA": |
| dataset = PubMedQA(model,eval_dataset_path,eval_output_path) |
|
|
| elif eval_dataset == "MedMCQA": |
| dataset = MedMCQA(model,eval_dataset_path,eval_output_path) |
|
|
| elif eval_dataset == "MedQA_USMLE": |
| dataset = MedQA_USMLE(model,eval_dataset_path,eval_output_path) |
| |
| elif eval_dataset in ["MMLU-medical","MMLU-all"]: |
| if eval_dataset_path: |
| eval_dataset_path = eval_dataset_path.replace(eval_dataset,"MMLU") |
| _,subject = eval_dataset.split("-") |
| dataset = MMLU(model,eval_dataset_path,eval_output_path,subject) |
| |
| elif eval_dataset == "CMB": |
| dataset = CMB(model,eval_dataset_path,eval_output_path) |
| |
| elif eval_dataset == "CMExam": |
| dataset = CMExam(model,eval_dataset_path,eval_output_path) |
|
|
| elif eval_dataset == "MedQA_MCMLE": |
| dataset = MedQA_MCMLE(model,eval_dataset_path,eval_output_path) |
|
|
| elif eval_dataset == "CMMLU": |
| dataset = CMMLU(model,eval_dataset_path,eval_output_path) |
| |
| elif eval_dataset == "IU_XRAY": |
| dataset = IU_XRAY(model,eval_dataset_path,eval_output_path) |
|
|
| elif eval_dataset == "CheXpert_Plus": |
| dataset = CheXpert_Plus(model,eval_dataset_path,eval_output_path) |
|
|
| elif eval_dataset == "MIMIC_CXR": |
| dataset = MIMIC_CXR(model,eval_dataset_path,eval_output_path) |
| |
| elif eval_dataset == "MedFrameQA": |
| dataset = MedFrameQA(model,eval_dataset_path,eval_output_path) |
| elif eval_dataset == "Radrestruct": |
| dataset = Radrestruct(model,eval_dataset_path,eval_output_path) |
| else: |
| print(f"unknown eval dataset {eval_dataset}, we only support {supported_dataset}") |
| dataset = None |
|
|
| return dataset |
|
|
| if __name__ == '__main__': |
| pass |
