Update README.md

Author: vlabatut

README.md

@@ -1,4 +1,4 @@
-FoppaInit
+FoppaInit v1.0.1
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 *Initialization of the FOPPA database*
 
@@ -8,20 +8,19 @@ FoppaInit is free software: you can redistribute it and/or modify it under the t
 
 * **Lab site:** http://lia.univ-avignon.fr
 * **GitHub repo:** https://github.com/CompNet/FoppaInit
-* **Data:** https://doi.org/10.5281/zenodo.7433155
+* **Data:** https://doi.org/10.5281/zenodo.7443842
 * **Contact:** Lucas Potin <lucas.potin@univ-avignon.fr>
 
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 # Description
-These scripts create the FOPPA database from raw TED files. This database relies mainly on the award notices of public contracts related to French clients and suppliers from 2010 to 2020 in the Tenders Electronic Daily. It also proposes an enrichment of these data, thanks to the siretization of agents (i.e. the retrieval of their unique IDs, which is missing for most of them) as well as the cleaning and extraction of award criteria, and other processing.
+These scripts create the FOPPA database v.1.1.1 from raw TED files. This database relies mainly on the award notices of public contracts related to French clients and suppliers from 2010 to 2020 in the Tenders Electronic Daily. It also proposes an enrichment of these data, thanks to the siretization of agents (i.e. the retrieval of their unique IDs, which is missing for most of them) as well as the cleaning and extraction of award criteria, and other processing.
 
-The process conducted to build the FOPPA is quite long, though (around 1 week, depeding on the hardware), so the produced database is alternatively directly available on [Zenodo](https://doi.org/10.5281/zenodo.7433155). The detail of this processing are described in a technical report [P'22].
+The process conducted to build the FOPPA is quite long, though (around 1 week, depeding on the hardware), so the produced database is alternatively directly available on [Zenodo](https://doi.org/10.5281/zenodo.7443842). The detail of this processing are described in a technical report [P'22].
 
-This work was conducted in the framework of [DeCoMaP](https://anr.fr/Projet-ANR-19-CE38-0004) ANR project (Detection of corruption in public procurement markets). If you use this source code or the produced database, please cite bibliographical reference [P'22].
+This work was conducted in the framework of the [DeCoMaP](https://anr.fr/Projet-ANR-19-CE38-0004) ANR project (*Detection of corruption in public procurement markets* -- `ANR-19-CE38-0004`). If you use this source code or the produced database, please cite bibliographical reference [P'22].
 
 # Organization
-
 This repository is composed of the following elements:
 * `requirements.txt` : List of Python packages used in foppaInit.py.
 * `foppaInit.py` : Python script in order to create the FOPPA Database.
@@ -35,16 +34,14 @@ The script requires the TED data and leverages some additional sources:
 
 # Installation
 You first need to install `python` and the required packages:
-
-1. Install the [`python` language](https://www.python.org)
+1. Install the Python language: https://www.python.org
 2. Download this project from GitHub and unzip.
-3. Install CUDA (https://developer.nvidia.com/cuda-downloads)
+3. Install CUDA: https://developer.nvidia.com/cuda-downloads
 4. Execute `pip install -r requirements.txt` to install some of the required packages (see also the *Dependencies* Section).
 
 Package `blazingsql` requires a specific installation:
-
 1. Go to Webpage https://rapids.ai/start.html
-2. Configure your setup.
+2. Configure your setup in this Webpage.
 3. Execute the generated command.
 
 # Use
@@ -53,7 +50,6 @@ In order to build the FOPPA database:
 2. Run `foppaInit.py`.
 
 The script is going to perform several tasks:
-
 1. Download all the necessary data (see Section *Organization*).
 2. Apply the processing described in [P'22].
 3. Export the resulting database under different forms (SQL dump, CSV sheets).
@@ -68,7 +64,8 @@ Tested with Python version 3.8.0, with the following packages:
 * [`dedupe`](https://pypi.org/project/dedupe/): version 2.0.19.
 
 # Data
-The produced database is directly available publicly online on [Zenodo](https://doi.org/10.5281/zenodo.7433155), under two different forms:
+The produced database is directly available publicly online on [Zenodo](https://doi.org/10.5281/zenodo.7443842), under three different forms:
+* SQLite file: https://www.sqlite.org/index.html
 * SQL dump.
 * CSV files (one by table).