jennifee/HW1-tabular-dataset

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.