https://github.com/mzfr/gsoc-data

GSoC Data from 2005 to 2018 in JSON format.
https://github.com/mzfr/gsoc-data

gsoc json open-data

Last synced: 10 months ago
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GSoC Data from 2005 to 2018 in JSON format.

• Host: GitHub
• URL: https://github.com/mzfr/gsoc-data
• Owner: mzfr
• Created: 2018-08-17T13:39:09.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2020-03-18T15:54:00.000Z (almost 6 years ago)
• Last Synced: 2024-05-01T17:45:27.716Z (over 1 year ago)
• Topics: gsoc, json, open-data
• Language: Python
• Homepage:
• Size: 2.74 MB
• Stars: 35
• Watchers: 7
• Forks: 8
• Open Issues: 5
• Metadata Files:
  • Readme: README.md

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README

          
# GSoC Data

All the data from [GSoC-archive](https://developers.google.com/open-source/gsoc/past-summers) in JSON format.

__NOTE__

For running the scrapers you must install the following dependencies

* asyncio

* aiohttp

You can do that by running: `pip install ayncio aiohttp`

# Directories

* `Data/`

    + `orgs/` - all orgs that have been a part of GSoC from 2005 to 2017

    + `projects/` - all projects that are completed under GSoC program from year 2005-2017

* `Scrapers/`

    - Contains all the scrapers used for scraping the data

# Data

### `orgs/`

* `2005.json` - `2008.json`

    - `link`: URL of the org

    - `name`: Name of the org

* `2009-2013.json`

    -  `about`: Work that org do

    -  `link`: URL of the org

    -  `mail`: Mailing list of the org

    -  `name`: Name of the org

    -  `page`: Idea page of the org

* `2014-2015.json`

    - `link`: URL of the org

    - `mail`: Mailing list of the org

    - `page`: Idea page of the org

    - `name`: Name of the org selected

* `2016-2017.json`

    - `about`: Info about the organization

    - `link`: URL of the org

    - `name`: Name of the org

### `projects/`

* `2005.json` - `2008.json`

    - `Mentor`: Name of the mentor of the project

    - `project`: Name of the project

    - `student`: Name of the student

* `2009-2013.json` & `2014-2015.json`

    - `Organization`: Name of the organization

    - `detail`: Detail about the project

    - `link`: Link to the project

    - `student`: Name of the student selected

    - `title`: Name of the project

* `2016-2017.json`

    - `Organization`: Name of the organization

    - `link`: Link to the project

    - `mentors`: Name of the mentors

    - `student`: Name of the student

    - `title`: Name of the project

# What can be done with the data?

This data will be used for improving the functionality of [Soccer](http://github.com/dufferzafar/Soccer/).

It can also be used to generate various stats, plots or answer data-related questions like:

- Who did the most number of GSoCs? under which org?

- Which org has the highest sutdent-to-mentor conversion rate? (students who first did GSoC under the org, and then became mentors)

- Run some magic on the descriptions of projects over the years to find out if there is a trend of ML related projects.

etc. etc.

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Feel free to open issues to discuss any more ideas!