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license: apache-2.0
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### Dataset: MEDMCQA-and-RACE
This dataset is a refined combination of two well-known datasets, MedMCQA and RACE, tailored specifically for the development and evaluation of machine learning models in the context of multiple-choice question (MCQ) generation. Originally encompassing over 200,000 entries, this dataset has been meticulously cleaned and condensed to around 6,000 high-quality rows.

Each entry in the dataset comprises a context (textual content) followed by a corresponding question, a set of multiple-choice answers, and the correct answer. This structure makes the dataset an ideal resource for training and testing NLP models aimed at generating MCQs along with their answers based on provided contexts.

### Content
- context: This column contains the textual content or paragraph based on which questions and multiple-choice answers are formulated.
- question: This column contains the questions created from the context.
- options: This section contains a set of four multiple-choice answers (A, B, C, D) related to the question.
- correct_answer: This column indicates the correct answer from the options provided.

### Use Cases
This dataset is suitable for a range of applications, including but not limited to:

- Training models to generate MCQs from textual content.
- Evaluating comprehension and information retrieval capabilities of NLP models.
- Assisting educators and content creators in generating educational materials and assessment questions.