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---
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
task_categories:
- tabular-classification
- image-classification
pretty_name: j
---
# Dataset Card: Manga-Popularis-EN
## 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.
- **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. |