Project Description

This project is designed to empower researchers and data scientists by offering a seamless way to explore and discover valuable datasets from the Web. Leveraging a comprehensive collection of 211,894 datasets sourced from HuggingFace (as of June 2024), we provide an intuitive platform for uncovering insights within dataset metadata, such as common tasks and themes.

Our solution features MGExplorer (Menin et al., 2021), a powerful visualization tool that enables users to explore data through interconnected views. This innovative approach allows users to examine datasets from multiple perspectives and zoom in on the most relevant details with ease.

Aline Menin, Ricardo Cava, Carla Maria Dal Sasso Freitas, Olivier Corby, Marco Winckler. Towards a Visual Approach for Representing Analytical Provenance in Exploration Processes. IV 2021 - 25th International Conference Information Visualisation, Jul 2021, Melbourne / Virtual, Australia. pp.21-28, (10.1109/IV53921.2021.00014.). (hal-03292172)

How It Works

To get started, users define the relationship network they wish to explore by selecting nodes, links, and thematic data. With dynamic filters, they can refine the dataset to remove irrelevant information. From there, MGExplorer's advanced visualization techniques make it simple to navigate through the network and uncover meaningful insights.

GitHub Links

The source code is available on GitHub under an Apache 2.0 license.

Contact

For more information, reach out via email: aline.menin@inria.fr, anais.ollagnier@inria.fr