Context

In India, every year lacs of students sit for competitive examinations like JEE Advanced, JEE Mains, NEET, etc. These exams are said to be the gateway to get admission into India's premier Institutes such as IITs, NITs, AIIMS, etc. Keeping in mind that the competition is tough as lacs of students appear for these examinations, there has been an enormous development in Ed Tech Industry in India, fortuning the dreams of lacs of aspirants via providing online as well as offline coaching, mentoring, etc. This particular dataset consists of questions/doubts raised by students preparing for such examinations.

Content

The dataset contains 3 CSV files. All of them have the same columns as it is no competition. The dataset is split randomly across these 3 CSV files. Inside the CSV file, we have four columns:

• q_id: Questions id, unique for every question
• eng: The full question or description of the questions
• class: The question belongs to which class/grade in the Indian Education system.
• chapter: Target classes,

So, it's basically an NLP problem where we have the question description and we need to find out which chapter does this question belongs to. Note: More updates might be added in the future versions.