jennifee/HW1-tabular-dataset

Dataset Card for Book Tabular Data

<!-- Provide a quick summary of the dataset. -->

This tabular dataset provides measurements on books selected from my bookshelf.

Dataset Details

Dataset Description

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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

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Direct Use

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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

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This dataset could be used for other evaluations, like metrics on books people buy or preferences on fiction versus nonfiction.

Dataset Structure

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• —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

<!-- Motivation for the creation of this dataset. -->

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

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> The data came from the selected books on my bookshelf, which I measured directly.

Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

Once the data was collected, it was augmented via jittering.

Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->

Jennifer Evans produced this data.