July 2018
Beginner to intermediate
312 pages
8h 31m
English
Content preview from Hands-On Natural Language Processing with Python
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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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