IndianDrugMCQA

A multiple-choice question answering dataset for evaluating knowledge of Indian branded medications — specifically the ability to identify generic names / salt compositions from brand names.

About Dataset

Indian Drug MCQA Dataset A multiple-choice question answering dataset for evaluating knowledge of Indian branded medications — specifically the ability to identify generic names / salt compositions from brand names. Dataset Description This dataset contains 1512 questions covering Indian pharmaceutical brand names across 20+ therapeutic classes. Each question presents a branded medication and asks the model to identify its correct generic composition from 3-5 options.… See the full description on the dataset page: https://huggingface.co/datasets/ekacare/indian_drug_mcqa.

Purpose of Dataset

Evaluate Medical Language Models On Their Knowledge Of The Indian Pharmaceutical Market, Including: Evaluation Of Llms For Specific Drug Knowledge In Indian Context: - Brand Name → Generic Name Mapping - Salt Composition Identification - Therapeutic Class Awareness