Content Metadata Dataset from X5GON Project

This repository contains a dataset that has relevant metadata relating to majority of the Open Educational Resources indexed in X5GON project.

Content data

These data can be found at datasets/v1/x5gon_metadata.tsv

Dataset Composition

This dataset consists of 90,789 Open Educational Resources that are indexed in X5GON repository. The metadata consists of six informative columns.

Column Name	Description	Details
id	Material ID	This ID uniquely identifies the material in the X5GON database. This ID can be used to query more information from the X5GON API endpoint
title	Title	The title of the OER material.
type	Content Type	Specifies the modality of the OER material. Example types are video, audio, pdf, text etc...
language	Language	The primary language used in authoring the learning resource. This field is useful when identifying materials for different languages.
keywords	Keywords	A set of keywords extracted from material contents using Artificial Intelligence. The keywords are separated using "|||" .
concepts	Concepts	A set of Wikipedia Concepts extracted from material contents using Artificial Intelligence. The Wikipedia URLs of concepts are separated using "|||"

x5gon_content_metadata_dataset package

This repository also contains the x5gon_content_metadata_dataset package which contains all the helper functions that are required to loading and using the dataset seamlessly. The package currently contains the load_dataset function in the x5gon_content_metadata_dataset.io module. The following code snippet is an example of how the dataset can be loaded in Python programming language using the helper module.

# Import load_dataset function
from x5gon_content_metadata_dataset.io import load_dataset

# Load the x5gon_metadata.tsv dataset 
data = load_dataset("path/to/x5gon_metadata.tsv")

Google Colab Notebook

This link provides access to a Google Colab document that demonstrates how the dataset has been loaded in to the python environment.

Supplementary Resources

The metadata in the dataset can be used to extract more information from the X5GON platform API endpoints. The main API endpoint can be used to get addtional metadata about the OER materials.

• X5GON Rest API : https://platform.x5gon.org/products/feed#api

You can visit the tutorial colab notebook to see the API endpoints in action.

License:

This work is licensed under a Creative Commons Attribution 4.0 International License. The full license details are found here.

Authors

This dataset and support materials are created by

• Sahan Bulathwela
• Walid Ben Romdhane