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TurkuNLP/genre-6

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" :… See the full description on the dataset page: https://huggingface.co/datasets/TurkuNLP/genre-6.

sourceHugging Faceupdated 3y agoView on Hugging Face
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Dataset Card

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