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- This repository presents a collection of files to create a question answering website, using a sports dataset called "QASports". To be able to run it on your machine, you need to follow the following steps:
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- 1st open git bash and git clone the repository
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- 2nd, still in the terminal, download the necessary libraries using the command "pip install -r requirements.txt"
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- 3rd, enter the folder where the repository is and execute the command "streamlit run app.py"
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- By following these steps you will be able to run this website on your machine.
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ title: QASports Website - Basketball
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+ emoji: 👁
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+ colorFrom: purple
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+ colorTo: green
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+ sdk: streamlit
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+ sdk_version: 1.33.0
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+ python_version: 3.1
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+ suggested_hardware: t4-small
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+ app_file: app.py
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+ pinned: false
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+ license: mit
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+ tags:
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+ - sports
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+ - question-answering
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+ - open-domain-qa
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+ - extractive-qa
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+ short_description: QASports the first large sports-themed QA dataset
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+ models:
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+ - deepset/roberta-base-squad2
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+ datasets:
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+ - PedroCJardim/QASports