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