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Hands-On Natural Language Processing with Python by Rajalingappaa Shanmugamani, Rajesh Arumugam

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Question-Answering datasets

Question-Answering datasets can have differences based on the form in which a response or answer is required. We will briefly summarize a few popular academic datasets for QA along with their key characteristics:

Dataset name Description Category URL
bAbI text understanding tasks This suite of 20 synthetically generated tasks was aimed to test some fundamental skills that models for NLU should possess. Each task trains a model to answer a question on the state of its environment based on a paragraph where various actions are taken in the environment. Answer selection https://research.fb.com/downloads/babi/
SQuAD: Stanford Question Answering Dataset SQuAD contains questions associated with Wikipedia articles, ...

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