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cornell-movie-review-data/rotten_tomatoes HF Unverified

Dataset Card for "rotten_tomatoes" Dataset Summary Movie Review Dataset. This is a dataset of containing 5,331 positive and 5,331 negative processed sentences from Rotten Tomatoes movie reviews. This data was first used in Bo Pang and Lillian Lee, ``Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales.'', Proceedings of the ACL, 2005. Supported Tasks and Leaderboards More Information Needed Languages… See the full description on the dataset page: https://huggingface.co/datasets/cornell-movie-review-data/rotten_tomatoes.

Task_categories:text-ClassificationTask_ids:sentiment-ClassificationAnnotations_creators:crowdsourcedLanguage_creators:crowdsourcedMultilinguality:monolingualSource_datasets:original
codraja2006/tomato-leaves-dataset HF Unverified

Tomato Leaves Dataset Overview This dataset contains images of tomato leaves categorized into different classes based on the type of disease or health condition. The dataset is divided into training, validation, and test sets, with a ratio of 8:1:1. The classes include various diseases as well as healthy leaves. The dataset includes both augmented and non-augmented images. Dataset Structure The dataset is organized into three main splits: train validation test… See the full description on the dataset page: https://huggingface.co/datasets/codraja2006/tomato-leaves-dataset.

Task_categories:feature-ExtractionTask_categories:image-ClassificationLanguage:enSize_categories:n<1KModality:imageTomato
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