Published November 14, 2025 | Version v1

MajinBook: An open catalogue of digitally mediated world literature

  • 1. ROR icon Langues, Textes, Traitements Informatiques, Cognition
  • 2. ROR icon Laboratoire d'Economie de Dauphine
  • 3. Institut Prairie
  • 4. CNRS

Description

Paper published in Journal of Cultural Analytics: culturalanalytics.org/article/id/1164/

Data documentation: github.com/mazieres/MajinBook

This dataset is also available and documented on HuggingFace.

Abstract

This data paper introduces MajinBook, an open catalogue designed to facilitate the use of shadow libraries, such as Library Genesis and Z-Library, for computational social science and cultural analytics. By linking metadata from these vast, crowd-sourced archives with structured bibliographic data from Goodreads, we create a high-precision corpus of over 539,000 references to digitally mediated English-language books. Spanning three centuries and reflecting a contemporary selection bias, these entries are enriched with first publication dates, genres, and popularity metrics such as ratings and reviews. Our methodology prioritises natively digital EPUB files to ensure machine-readable quality, while addressing biases in traditional corpora such as HathiTrust, and includes secondary datasets for French-, German-, and Spanish-language works. We evaluate the linkage strategy for accuracy, release all underlying data openly, and discuss the project’s legal permissibility under EU and U.S. frameworks for text and data mining in research.

 

Files

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Additional details

Related works

Is described by
Preprint: arXiv:2511.11412 (arXiv)
Is documented by
Technical note: https://github.com/mazieres/MajinBook (URL)
Is identical to
Dataset: https://huggingface.co/datasets/mazieres/majinbook (URL)
Is supplement to
Data paper: 10.22148/jca.1164 (DOI)

Funding

Agence Nationale de la Recherche
PRAIRIE-PSL ANR-22-CMAS-0007

References

  • Mazieres, A & Poibeau, T. (2026). MajinBook: An Open Catalogue of Digitally Mediated World Literature. Journal of Cultural Analytics 11(3) https://doi.org/10.22148/jca.1164