yuweihao/reclor
Code for "ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning" (ICLR 2020)
This is a dataset and associated code for researchers and developers working on advanced AI systems for reading comprehension. It helps evaluate how well AI models can answer multiple-choice questions that require logical reasoning, using provided texts. You input reading passages and questions, and the system outputs the AI's predicted answers, which can then be compared against true answers to measure performance.
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Use this if you are developing or evaluating AI models designed to understand text and perform logical reasoning to answer questions, and you need a specialized dataset and framework for this task.
Not ideal if you are looking for a ready-to-use application to solve real-world logical reasoning problems without developing new AI models.
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Python
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Last pushed
Jul 02, 2024
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