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Create dataset card

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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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+
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+ # Dataset Card for Dataset Name
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+
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+ ## Dataset Summary
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+
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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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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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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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+
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+ ### Data Fields
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+
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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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+
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+ ### Data Splits
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+
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+ The dataset contains train (80%), validation (10%) and test (10%) splits.
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+
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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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+
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+ More splits can be generated from the field "categories".
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+
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+ ### Source Data
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+
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+ [Kindletrends](https://kindletrends.com/categories/)