license: gpl-3.0
dataset_info:
features:
- name: title
dtype: string
- name: authors
list: string
- name: description
dtype: string
- name: image_path
dtype: image
- name: online_price
dtype: float32
- name: special_price
dtype: float32
- name: delivery_date
dtype: string
- name: item
dtype: string
- name: pub_date
dtype: string
- name: pub
dtype: string
- name: isbn
dtype: string
- name: size
dtype: float32
splits:
- name: train
num_bytes: 116942965.744
num_examples: 6383
download_size: 120239885
dataset_size: 116942965.744
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- en
tags:
- art
size_categories:
- 1K<n<10K
Dataset Card for [Your Dataset Name]
Dataset Details
Dataset Description
This dataset contains information about art books, including titles, authors, descriptions, image paths, prices, publication dates, publishers, ISBN numbers, and sizes.
- Curated by: [Replace with curator's name or organization]
- License: GPL-3.0
Dataset Sources
The dataset was compiled from various sources, including online bookstores, publisher websites, and catalogs.
Dataset Structure
The dataset consists of the following features:
title: Title of the art book (string)authors: Authors of the book (list of strings)description: Description of the book (string)image_path: Path to the image of the book cover (image)online_price: Online price of the book (float32)special_price: Special price of the book (float32)delivery_date: Estimated delivery date (string)item: Type of item (string)pub_date: Publication date of the book (string)pub: Publisher of the book (string)isbn: ISBN number of the book (string)size: Size of the book (float32)
The dataset is split into a training set with 6383 examples.
Dataset Creation
Curation Rationale
The dataset was curated to provide a comprehensive collection of art books for research and analysis purposes.
Source Data
The source data includes information from various online platforms, bookstores, and publishers.
Data Collection and Processing
The data was collected by scraping online bookstores and aggregating information from publisher websites.
Bias, Risks, and Limitations
Users should be aware of potential biases in the dataset, such as biases in book availability online and variations in pricing.