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Product Classification and Clustering
This dataset was collected from PriceRunner, a popular product comparison platform. It includes 35311 product offers from 10 categories, provided by 306 different merchants. This dataset offers an ideal ground for evaluating classification, clustering, and entity matching algorithms. Although it contains product-related data, it can still be applied to any problem involving text/short-text mining.
Recipe Reviews and User Feedback
The "Recipe Reviews and User Feedback Dataset" is a comprehensive repository of data encompassing various aspects of recipe reviews and user interactions. It includes essential information such as the recipe name, its ranking on the top 100 recipes list, a unique recipe code, and user details like user ID, user name, and an internal user reputation score. Each review comment is uniquely identified with a comment ID and comes with additional attributes, including the creation timestamp, reply count, and the number of up-votes and down-votes received. Users' sentiment towards recipes is quantified on a 1 to 5 star rating scale, with a score of 0 denoting an absence of rating. This dataset is a valuable resource for researchers and data scientists, facilitating endeavors in sentiment analysis, user behavior analysis, recipe recommendation systems, and more. It offers a window into the dynamics of recipe reviews and user feedback within the culinary website domain.
Bengali Hate Speech Detection Dataset
The dataset can be used for hate speech detection in Bengali social media texts. The dataset is categorized into political, personal, geopolitical, religious, and gender abusive hates that are either directed or generalized towards a specific person, entity, or group. The data and lexicons contain content that is racist, sexist, homophobic, and offensive in many different ways. The dataset is collected and subsequently annotated only for research-related purposes. Besides, authors don't take any liability if some statements contain very offensive and hateful statements that are either directed towards a specific person or entity or generalized towards a group. Therefore, please use it at your risk.
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