SVHN (Street View House Numbers)
SVHN (Street View House Numbers) is a dataset derived from Google Street View, primarily used for training machine learning models in digit recognition.
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SVHN (Street View House Numbers) is a dataset derived from Google Street View, primarily used for training machine learning models in digit recognition.
The INTERACTION dataset is a comprehensive collection of interaction data used primarily for evaluating and advancing natural language processing tasks.
Common Voice is an open-source dataset for voice recognition developed by Mozilla, aimed at improving speech recognition technologies.
The Open Images Dataset is a large-scale dataset for object detection and image classification, featuring millions of labeled images across thousands of categories.
Fashion-MNIST is a dataset used for training machine learning models, consisting of images of clothing items to aid in image classification tasks.
VoxCeleb is a large-scale speaker recognition dataset designed for research in speaker verification and recognition tasks.
The MRPC is a dataset developed by Microsoft Research for paraphrase identification tasks, consisting of pairs of sentences labeled for semantic similarity.
UCF101 is a widely used dataset for action recognition in videos, containing 13,320 clips across 101 action categories.
BoolQ is a dataset designed for evaluating natural language understanding and question-answering systems, featuring yes/no questions derived from Wikipedia articles.
CoQA is a dataset designed to facilitate the development of conversational question answering systems. It allows computers to engage in human-like dialogue by answering questions based on provided context.