The ChessAIThon project (2025-1-ES01-KA220-VET-000354329) is co-funded by the European Union. The views and opinions expressed in this publication are those of the author(s) only and do not necessarily reflect those of the European Union or the Spanish Service for the Internationalisation of Education (SEPIE). Neither the European Union nor the National Agency SEPIE can be held responsible for them.

Chess data: formats structures and dataset files, control version

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Quiz

Question 1

What concept is supported by platforms like Kaggle and Hugging Face allowing code and datasets to be shared freely?

Question 2

Why is it recommended to use a platform like Hugging Face's dedicated datasets library to load data into a Colab Notebook, rather than system commands like curl?

Question 3

In a Notebook, what is the professional, modern way to access and begin manipulating a publicly available dataset shared on Kaggle or Hugging Face?

Question 4

How does the project's contribution of a Parquet dataset (transformed into the 77x8x8 format) add a VET (Vocational Education and Training) vision to the open-source community?

Question 5

By exploring how platforms like Lichess and Chess.com share their data, what key data engineering challenge do students learn about?