Textbook Question Answering Dataset
Created by Kembhavi et al. at 2017, the Textbook Question Answering The M3C task builds on the popular Visual Question Answering (VQA) and Machine Comprehension (MC) paradigms by framing question answering as a machine comprehension task, where the context needed to answer questions is provided and composed of both text and images., in English language. Containing 26,62 in JSON, PNG file format.
Dataset Sources
Here you can download the Textbook Question Answering dataset in JSON, PNG format.
Download Textbook Question Answering dataset JSON, PNG files
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Paper
Read full original Textbook Question Answering paper.
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