For my Coding Six open-source contribution project, I joined the Romanian translation review team for the official Hugging Face Course. This widely used educational resource teaches Natural Language Processing (NLP) using Hugging Face’s open-source libraries, including Transformers, Datasets, and Tokenizers. The project’s goal is to make cutting-edge machine learning tools accessible to learners worldwide by offering high-quality documentation and tutorials in multiple languages. My contribution directly supported this goal by helping to review and improve the Romanian translation of the course, thereby filling a crucial known need within the community for high-quality, accessible educational content.
Rather than contributing original translations or code, my role focused on reviewing and improving existing Romanian translations submitted to the repository. This involved making grammatical, stylistic, and fluency suggestions, as well as verifying terminology for accuracy and consistency.
Initially, I approached the team intending to contribute translations (Figure 1), offering to translate a setup file into Romanian via a GitHub comment. Eduard Balamatiuc, a contributor from the Sigmoid team, replied that the documentation had already been translated in collaboration with an NGO from Moldova, but highlighted a need for reviewers to proofread and enhance the Romanian translations. I accepted this revised role enthusiastically. Reviewing the translation proved to be both more challenging and rewarding than expected, allowing me to apply both technical and linguistic insight to a crucial computational task within the community. This experience expanded my understanding of what constitutes a “programming need” in an open-source context, demonstrating that expertise beyond traditional coding is vital for project success and accessibility.
The Hugging Face course is a foundational resource for Natural Language Processing (NLP) learners worldwide. Making it accessible in Romanian has a meaningful educational and ethical impact, and I was excited to contribute through language and quality assurance, not just code.
