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# COVID-19 public dataset on GCP from cases in Italy
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# COVID-19 public dataset on GCP from cases in Italy
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-> by Italian Society of Medical and Interventional Radiology (ISMIR)
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+> by the Italian Society of Medical and Interventional Radiology (ISMIR)
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This repository contains all the code required to extract relevant information from pdf documents published by ISMIR and store raw data in a relational database and entities in a No-SQL database.
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This repository contains all the code required to extract relevant information from pdf documents published by ISMIR and store raw data in a relational database and entities in a No-SQL database.
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@@ -11,7 +11,7 @@ Looking for more context behind this dataset? Check out this article.
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## Installation
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## Installation
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**Requirements:**
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**Requirements:**
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-- Clone this repo to your local machine using https://github.com/
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+- Clone this repo to your local machine using https://github.com/azizketari/covid19_ISMIR.git
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- You need a Google Cloud project and IAM rights to create service accounts.
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- You need a Google Cloud project and IAM rights to create service accounts.
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- Enable APIs
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- Enable APIs
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```
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```
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@@ -73,21 +73,23 @@ Last but not least, you can query your databases using this script.
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- 🍴 Fork this repo!
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- 🍴 Fork this repo!
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- **Option 2**
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- **Option 2**
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- - 👯 Clone this repo to your local machine using https://github.com/joanaz/HireDot2.git
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+ - 👯 Clone this repo to your local machine using https://github.com/azizketari/covid19_ISMIR.git
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### Step 2
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### Step 2
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- **HACK AWAY!** 🔨🔨🔨
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- **HACK AWAY!** 🔨🔨🔨
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### Step 3
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### Step 3
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-- 🔃 Create a new pull request using https://github.com/joanaz/HireDot2/compare/.
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+- 🔃 Create a new pull request
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---
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---
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-### Citing
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+## Citing
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- [ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing by Mark Neumann and Daniel King and Iz Beltagy and Waleed Ammar
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- [ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing by Mark Neumann and Daniel King and Iz Beltagy and Waleed Ammar
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(2019)](https://www.semanticscholar.org/paper/ScispaCy%3A-Fast-and-Robust-Models-for-Biomedical-Neumann-King/de28ec1d7bd38c8fc4e8ac59b6133800818b4e29)
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(2019)](https://www.semanticscholar.org/paper/ScispaCy%3A-Fast-and-Robust-Models-for-Biomedical-Neumann-King/de28ec1d7bd38c8fc4e8ac59b6133800818b4e29)
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+---
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+
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## License
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## License
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[![License](http://img.shields.io/:license-mit-blue.svg?style=flat-square)](http://badges.mit-license.org)
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[![License](http://img.shields.io/:license-mit-blue.svg?style=flat-square)](http://badges.mit-license.org)
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