README.md

---
language:
- de
license: cc-by-4.0
pretty_name: Perlentaucher
dataset_info:
  features:
  - name: date
    dtype: date32
  - name: author
    dtype: string
  - name: title
    dtype: string
  - name: ISBN
    dtype: string
  - name: price
    dtype: decimal128(6, 2)
  - name: n_pages
    dtype: uint16
  - name: n_reviews
    dtype: uint8
  - name: content
    dtype: string
  - name: publisher
    dtype: string
  - name: pub_place
    dtype: string
  - name: pub_year
    dtype: uint16
  - name: media_type
    dtype: string
  - name: media_spec
    dtype: string
  - name: is_relevant
    dtype: bool
  - name: is_novel
    dtype: bool
  splits:
  - name: train
    num_bytes: 33239971
    num_examples: 89790
  download_size: 15694656
  dataset_size: 33239971
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- Buchkritiken
- Bücherschau des Tages
- Books
- Media
- Book reviews
---

Listing of the >7k books I've read recently. Some claim it's actually data scraped from website [*Perlentaucher*](https://www.perlentaucher.de). Which you believe is up to you, but here's a [video](https://www.youtube.com/watch?v=koPSzQWzwno) of my occasional reading activity (haters gonna say it's fake).

----

# Dataset card

## Dataset Description

The data set contains information of books that have been reviewed at least once. 
The reviews are received from reputable German print media such as the *Frankfurter Allgemeine Zeitung* (FAZ), *Süddeutsche Zeitung* (SZ), *Die Zeit*, etc. and other serious broadcasters such as *Deutschlandfunk Kultur*.
Those reviews are collected by the culture magazine [*Perlentaucher*](https://www.perlentaucher.de) and labeled as *read a lot* when there are at least three reviews of a book.

[*Perlentaucher*](https://www.perlentaucher.de) publishes on a daily basis since the year 2000, except for German Sun- and holidays. On average, there are about *M*=12 (*SD*=5) bookentries per day.
Data was harvested for all entries starting from March 15, 2000 to May 18, 2024. In total, the data set consists of 89,790 rows for 7,351 days and 15 columns.
    
## Variables overview

  - `date`: the publication day of book review (dtype: `date32`, `YYYY-MM-DD`)
  - `author`: the author of the book (dtype: `string`)
  - `title`: the title of the book (dtype: `string`)
  - `ISBN`: the International Standard Book Number, ISBN-13 in normalized form (i.e. hyphens removed); correctness has been tested via check digit; missing/incorrect numbers have been corrected manually (dtype: `string`)
  - `price`: the price of the book in euros (`decimal128(6, 2)`, i.e. `scale = 2` for cents)
  - `n_pages`: the number of book pages; nan for other types such as audio files (dtype: `uint16`)
  - `n_reviews`: the number of review notes as an indicator whether the book is relevant; lumped to 1 for *n*<3 notes (dtype: `uint8`)
  - `content`: the dust cover blurb (dtype: `string`)
  - `publisher`: the publisher of the book  (dtype: `string`)
  - `pub_place`: the place (city) where the books have been published; incorrect/inconsistent spellings have been corrected manually (dtype: `string`)
  - `pub_year`: the year the books has been published (dtype: `uint16`)
  - `media_type`: the type of media, i.e. *audio*, *print*, *videofilm* or unknown (dtype: `string`)
  - `media_spec`: a specification of the media type; for books its binding like soft- or hardcover (dtype: `string`)
  - `is_relevant`: boolean, whether the book is relevant (i.e. marked as *read a lot*, dtype: `bool`)
  - `is_novel`: boolean, whether the book is a novel according to its title (dtype: `bool`)


## Citation Information

```

@misc {schneider2024pearldive,
	author       = { Schneider, Jo\~{a}o A G },
	title        = { Pearl Diver },
	year         = { 2024 },
    month        = { May },
	url          = { https://huggingface.co/datasets/JoaoSchneider/PearlDiver },
	doi          = { 10.57967/hf/2245 },
	publisher    = { Hugging Face },
    note         = { Revision 786df49 }
}

```