Dataset Card for Book Tabular Data
This tabular dataset provides measurements on books selected from my bookshelf.
Dataset Details
Dataset Description
For a selection of books on my bookshelf, I collected some tabular data. I selected 15 fiction and 15 nonfiction books. I then documented how many pages each had, how thick the book was, if I had read it/ started it/ not read it, and if it was a book I would recommend to everyone. These variables were collected for the 30 books that make up my original split, and then they were augmented to create 300 additional examples.
- Curated by: Jennifer Evans
- Language(s) (NLP): English
- License: MIT
Uses
Direct Use
This dataset can be used to evaluate how book length and thickness might correlate with it being read and recommended. It can also be used to evaluate if a book is fiction or nonfiction.
Out-of-Scope Use
This dataset could be used for other evaluations, like metrics on books people buy or preferences on fiction versus nonfiction.
Dataset Structure
dataset_info:
features:
name: FictionorNonfiction
dtype: string
name: NumPages
dtype: int64
name: ThicknessInches
dtype: float64
name: ReadUnfinishedorUnread
dtype: string
name: RecommendtoEveryone
dtype: string
- splits:
name: original
num_bytes: 1345
num_examples: 30
name: augmented
num_bytes: 13747
num_examples: 300
download_size: 9114
dataset_size: 15092
- configs:
config_name: default
- data_files:
split: original
path: data/original-*
split: augmented
path: data/augmented-*
Dataset Creation
Curation Rationale
The motivation for this dataset was to review books that I keep on my bookshelf and assess patterns related to if a book is fiction or nonfiction.
Source Data
The data came from the selected books on my bookshelf, which I measured directly.
Data Collection and Processing
Once the data was collected, it was augmented via jittering.
Who are the source data producers?
Jennifer Evans produced this data.