metadata
license: cc-by-4.0
language:
- en
tags:
- medical-ai
- llm-evaluation
- judge-llm
pretty_name: Rui Dataset
task_categories:
- text-classification
- other
data_files:
- DS01_Medical-eval-sphere_Pairwise_Human/medical_eval_filtered.csv
configs:
- config_name: DS01_Medical-eval-sphere_Pairwise_Human
data_files:
- DS01_Medical-eval-sphere_Pairwise_Human/*.csv
- config_name: DS02_MedAESQA_Scalar_Human
data_files:
- DS02_MedAESQA_Scalar_Human/*.csv
- config_name: DS03_Healthbench_Scalar_JudgeModel
data_files:
- DS03_Healthbench_Scalar_JudgeModel/*.csv
Rui Dataset
Three evaluation subsets (each stored in its own folder as a CSV):
DS01_Medical-eval-sphere_Pairwise_Human/medical_eval_filtered.csvDS02_MedAESQA_Scalar_Human/medical_qa_converted.csvDS03_Healthbench_Scalar_JudgeModel/Healthbench.csv
Load with 🤗 Datasets:
from datasets import load_dataset
ds1 = load_dataset("med-llm-judge/Dataset_Rui", "DS01_Medical-eval-sphere_Pairwise_Human")
ds2 = load_dataset("med-llm-judge/Dataset_Rui", "DS02_MedAESQA_Scalar_Human")
ds3 = load_dataset("med-llm-judge/Dataset_Rui", "DS03_Healthbench_Scalar_JudgeModel")