how to choose datasets for your research?

1. Dataset of Developer-
Labeled Commit Datasets
Presented by: Zainab Ali Jawad
Supervised by: Asst. Prof. Dr. Ahmed Aljanabi

2. Introduction
Selecting a research problem is an essential and
formidable task. The problem must possess
inherent challenges, and it is crucial to ensure that
it has not been extensively addressed by prior
researchers. This ensures that the researcher can
introduce a fresh perspective and contribute a new
challenge in solving the research problem.

3. Introduction
Additionally, gathering research materials and data
related to the chosen research problem is often a time-
consuming and labor-intensive endeavor for
researchers. To streamline this process, this
presentation provides access to freely available data
warehouses. These repositories encompass a wide
range of databases and research materials spanning
various fields of computer science, including image
processing, computer vision, data mining, text
processing, security, and more.

4. BuzzFeed News
Makes the data sets, analysis, libraries, tools, and
guides.
Used in its articles available on GitHub.
To learn from some of the best!.
https://github.com/BuzzFeedNews.

5. BuzzFeed News

6. BuzzFeed News

7. Metatext
High-quality datasets.
Democratize the access to AI for everyone, without
the deep expertise in code, math, and statistics.
Built by experts to guide developers, analysts, product
managers, and other roles.
To solve real world problems.
https://metatext.io/datasets-list/classification-task.

8. Metatext

9. Paper with Code
 The mission of Papers with Code is to create a free
and open resource.
With Machine Learning papers, code, datasets,
methods and evaluation tables.
Supported by NLP and ML.
Openly licensed under CC-BY-SA (same as
Wikipedia)
Operate with code in astronomy, physics, computer
sciences, mathematics and statistics.

10. Paper with Code

11. Paper with Code

12. Datahub.io
The goal of many data analysts is to help drive savvy
business decisions.
Focuses on areas like stock market data, property
prices, etc.
Because many of the data are updated monthly .
want to revolutionize how we work with data as a
community.
share high-quality data and data-driven insight.
https://Datahub.io/collections.

13. Datahub.io

14. Google Dataset Search
 A search engine for datasets.
Using a simple keyword search.
Making datasets universally accessible and useful.
Foster a data-sharing ecosystem.
Give scientists a way to show the impact of their
work.
https://datasetsearch.research.google.com/.

15. Google Dataset Search

16. Thank you