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One of the main challenges in building multilingual machine learning models is collecting enough relevant data. To help, we at Lionbridge have compiled a list of the best publicly available Chinese language datasets. These datasets cover a wide range of use cases, from handwritten data for Chinese OCR to labeled text data for sentiment analysis. If you missed our previous language dataset compilations, be sure to check out our other dataset articles. Without further ado, here are the best Chinese data sources for machine learning projects.

Kaggle has been quite a popular platform to showcase your skills and submit your algorithms in the form of kernels. This was more than enough for Google to understand its further potential and purchase it in 2017 with a goal of awarding data scientists or data analysts with cash prizes and medals to encourage others to participate and code. For many, it was a breath of fresh air and for others, it was an opportunity to optimize their kernels as resubmission was allowed. A lot of companies are organizing hackathons on Kaggle to find the perfect candidate for various data science openings.

Well if you are new to Kaggle, then this is the ideal guide for you to get started with its kernels and other aspects. Let's tackle this step by step.