Knowledge Tracking Need

Citation Author(s):
Shiyu
Zhu
Southwest university
Submitted by:
Zhu ShiYu
Last updated:
Thu, 11/09/2023 - 04:53
DOI:
10.21227/enkg-z694
License:
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Abstract 

ASSISTment is a large open-source dataset that aims to evaluate and improve text-based question answering systems. It contains over a million question-answer pairs, covering a wide range of subject areas and question types. The dataset can be used to train and test question answering systems, and supports the development of more effective natural language processing models. It includes questions and answers from real-world sources, making it a valuable resource for researchers and developers in the field of question answering systems. The dataset is regularly updated and expanded to include new questions and answers, ensuring its relevance and usability for years to come.

Instructions: 

order_idassignment_iduser_idassistment_idproblem_idoriginalcorrectattempt_countms_first_responsetutor_modeanswer_typesequence_idstudent_class_idpositiontypebase_sequence_idskill_idskill_nameteacher_idschool_idhint_counthint_totaloverlap_time