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README.md
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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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