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--- |
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task_categories: |
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- text-classification |
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language: |
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- en |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Dataset Card for Dataset Name |
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## Dataset Summary |
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Genre-6 dataset is an English dataset based on Kindletrends (UK & US). It contains more than 20k books and associated categories with ready-made binary classification and multilabel classification labels. |
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## Dataset Structure |
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### Data Instances |
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`` {"text": "...", "categories": "Engineering & Transportation;Science & Math", "fiction": "non-fiction", "split1": ['Science & Math'], "split2" : ['Engineering & Transportation', 'Science & Math'], "split3": ['Science & Math']} `` |
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### Data Fields |
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- text: Kindletrends text |
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- categories: Kidletrends categories (1 to 2 categories per book) |
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- fiction: binary label for fiction and non-fiction books |
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- splits 1,2,3: multilabel for different subsets of the categories |
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### Data Splits |
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The dataset contains train (80%), validation (10%) and test (10%) splits. |
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The splits for multilabels are following: |
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- split1: 'Biology & Nature & Biological Sciences','Computer Science', 'Fantasy','Medicine & Health Sciences','Philosophy','Science & Math'. |
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- split2: 'Biology & Nature & Biological Sciences','Computer Science', 'Engineering & Transportation','Fantasy','Medicine & Health Sciences','Science & Math'. |
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- split3: 'Biology & Nature & Biological Sciences','Computer Science', 'Fantasy','Medicine & Health Sciences', 'Poetry', 'Politics & Social Sciences', 'Science & Math'. |
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More splits can be generated from the field "categories". |
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### Source Data |
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[Kindletrends](https://kindletrends.com/categories/) |
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