10 results
Multi-label dataset. A subset of the reuters dataset includes 2000 observations for text classification.
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Multi-label dataset. The scene dataset is an image classification task where labels like Beach, Mountain, Field, Urban are assigned to each image.
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Multi-label dataset. The birds dataset consists of 327 audio recordings of 12 different vocalizing bird species. Each sound can be assigned to various bird species.
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Multi-label dataset. Audio dataset (emotions) consists of 593 musical files with 6 clustered emotional labels and 72 predictors. Each song can be labeled with one or more of the labels…
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Multi-label dataset. The genbase dataset contains protein sequences that can be assigned to several classes of protein families.
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Multi-label dataset. The image benchmark dataset consists of 2000 natural scene images. Zhou and Zhang (2007) extracted 135 features for each image and made it publicly available as processed image…
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Multi-label dataset. The yeast dataset (Elisseeff and Weston, 2002) consists of micro-array expression data, as well as phylogenetic profiles of yeast, and includes 2417 genes and 103 predictors. In…
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Multi-label dataset. The UC Berkeley enron4 dataset represents a subset of the original enron5 dataset and consists of 1684 cases of emails with 21 labels and 1001 predictor variables.
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The langLog dataset includes 1004 textual predictors and was originally compiled in the doctorial thesis of Read (2010). It consists of 956 text samples that can be assigned to one or more topics such…
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Multi-label dataset for text-classification. It consists of article titles and partial blurbs. Blurbs can be assigned to several categories (e.g. Science, News, Games) based on word predictors.
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3782 instances - 1101 features - 2 classes - 0 missing values