task_categories:text-classification size_categories:10K<n<100K language:en region:us
---
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/)
