This resource is continuously updated. If you know of any other suitable and open datasets, please let us know by emailing us at pub@towardsai.net or by dropping a comment below. Google Dataset Search: Similar to how Google Scholar works, Dataset Search lets you find datasets wherever they are hosted, whether it's a publisher's site, a digital library, or an author's web page. It's a phenomenal dataset finder, and it contains over 25 million datasets. Kaggle: Kaggle provides a vast container of datasets, sufficient for the enthusiast to the expert.

When looking to hone your natural language processing (NLP) skills, finding accessible and relevant datasets can be one of the biggest bottlenecks of the experience. Lots of time can be spent trying to locate existing datasets for the learning task at hand, or attempting to curate your own data instead. It would be great to have a centralized listing of available NLP datasets... wouldn't it? That's where The Big Bad NLP Database (BBNLPDB), managed by Quantum Stat, comes in. If you are seeking datasets to work on your NLP skills, you should definitely check out.

This resource is continuously updated. If you know any other suitable and open datasets, please let us know by emailing us at pub@towardsai.net or by dropping a comment below. Google Dataset Search: Similar to how Google Scholar works, Dataset Search lets you find datasets wherever they are hosted, whether it's a publisher's site, a digital library, or an author's web page. It's a phenomenal dataset finder, and it contains over 25 million datasets. Kaggle: Kaggle provides a vast container of datasets, sufficient for the enthusiast to the expert.

Today's newsletter will be a little different. We want to update everyone on the current state of the Big Bad NLP Database . First, want to mention that today, we updated the database with 10 new datasets taking us past 600 total or, 50 new datasets for the month of September! We want to take this time to thank everyone who contributed to the BBND over the past year to make this repository one for the ages. It all started in January of this year when we released the first version of the database with 150 datasets.

Datasets for various tasks in Natural Language Processing - Quantum Stat

What initially got you interested in artificial intelligence? I was reading a book on probability when I came across a famous theorem. At the time, I naively wondered if I could apply this theorem into a natural language problem I was attempting to solve at work. As it turns out, the algorithm already existed unbeknownst to me, it was called the Naïve Bayes, a very famous and simple generative model used in classical machine learning. That theorem was Bayes theorem.