Context Shopify stores dataset appropriate for clustering and classification using NLP methods. Content The dataset contains information of 618K Shopify online stores. For each store, we provide it's title, description, and list of collections, collected from it's html homepage (see [our blog post](https://towardsdatascience.com/shopify-stores-eda-d1f949604e1c) for data collection methods). Using basic NLP methods such as lemmatization, we provide some labels for each shop however, many of them have no labels because of uncertainty or non-english languages. Hence, the dataset is appropriate for semi-supervised multi-label classification. Acknowledgements https://shopgram.io Inspiration To consider the following chanllenges together: - Multi-label classification - Semi-supervised learning - Big data