textliteraturebookspublic-domaingutenbergNLPdigital-humanitiesgenre-classificationmultilinguallibrary-of-congressbibliometricsauthor-metadataliterary-history

Public Domain Books Catalog

1971–2025

Free

Open dataset

Sample structure: 96.5 / 100
19 download links issued
Seller: waseemahmad
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Category
Text
Records
75,545 rows
Format
CSV
Update Frequency
Not documented
Collection Method
uploaded
PII
No flagged field names; not a privacy audit
Download links issued
19

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License
Not documented — confirm reuse terms with the seller
Source / creator
Supplier-cited: Project Gutenberg
Collection method
uploaded
Coverage / snapshot
1971–2025
Data last updated
Not documented
Update schedule
Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract.

Sample structure score: 96.5 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

CheckPointsEvidence
Populated cells46.5 / 50214 of 230 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types30 / 30214 of 214 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape20 / 2010 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.
Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

FieldMissing cellsMost common typeOther populated types
gutenberg_id0 / 10number0 / 10
title0 / 10string0 / 10
author0 / 10string0 / 10
author_birth_year5 / 10number0 / 5
author_death_year6 / 10number0 / 4
num_authors0 / 10number0 / 10
language_code0 / 10string0 / 10
language0 / 10string0 / 10
issued_date0 / 10string0 / 10
primary_subject0 / 10string0 / 10
subject_count0 / 10number0 / 10
locc_classification0 / 10string0 / 10
locc_area0 / 10string0 / 10
genre0 / 10string0 / 10
literary_era5 / 10string0 / 5
bookshelf0 / 10string0 / 10
source0 / 10string0 / 10
url0 / 10string0 / 10
license0 / 10string0 / 10
title_word_count0 / 10number0 / 10
has_author0 / 10number0 / 10
is_english0 / 10number0 / 10
has_classification0 / 10number0 / 10
How the score is calculated, its limitations, and how to correct an assessment →

About this data

Cross-national catalog of literary works from Project Gutenberg with genre classification, literary era mapping, and Library of Congress subject categorization. Covers works in 58+ languages from ancient texts to early 20th-century literature, including 60,000+ English works and significant collections in French, Finnish, German, and 50+ other languages.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example
python3 retrieve-dataset.py 9e20a575-5493-47d9-b71b-ad0dc12be01a --output dataset.bin
Full supplier documentation
Original supplier listing: Public Domain Books Catalog — 75,000+ Literary Works (1971–2025) Cross-national catalog of 75,545 public domain literary works from Project Gutenberg, enriched with genre classification, literary era mapping, and Library of Congress subject area categorization. Covers works in 58+ languages from ancient texts to early 20th-century literature. **Sources:** - Project Gutenberg digital library catalog (primary metadata: titles, authors, dates, subjects, Library of Congress Classification) - Library of Congress Classification scheme (subject area mapping) - Literary period taxonomy (era classification from Medieval through Contemporary) - Custom NLP-derived genre classification across 20+ categories **Schema (23 columns):** - `gutenberg_id` — Unique Project Gutenberg text identifier - `title` — Full title of the work - `author` — Primary author name (normalized to "First Last" format) - `author_birth_year` / `author_death_year` — Author life dates - `num_authors` — Number of credited authors - `language_code` — ISO language code - `language` — Full language name - `issued_date` — Date digitized/added to Project Gutenberg - `primary_subject` — Primary subject heading - `subject_count` — Total number of subject headings - `locc_classification` — Library of Congress Classification code(s) - `locc_area` — Mapped LoCC broad subject area - `genre` — Derived genre (Fiction, Poetry, History, Science Fiction, Mystery, etc.) - `literary_era` — Estimated literary period (Medieval, Renaissance, Romantic, Victorian, Modern, Contemporary) - `bookshelf` — Project Gutenberg bookshelf category - `source` — Data source identifier - `url` — Direct link to the work - `license` — License type (all Public Domain) - `title_word_count` — Number of words in title - `has_author` — Whether author is known (1/0) - `is_english` — English language flag (1/0) - `has_classification` — Has LoCC classification (1/0) **Coverage:** 75,545 unique works across 58+ languages. 60K+ English works plus significant French (4K), Finnish (3.5K), German (2.3K), and 50+ other language collections. Literary eras span from Ancient/Medieval through Contemporary. **Use cases:** Literary analysis, NLP training data catalogs, bibliometric research, digital humanities, author network analysis, genre classification benchmarking, language diversity studies, cultural heritage research.

Schema

NameTypeDescription
gutenberg_idstringUnique Project Gutenberg text identifier
titlestringFull title of the work
authorstringPrimary author name (normalized to "First Last" format)
author_birth_yearstringAuthor life dates
author_death_yearstringAuthor life dates
num_authorsstringNumber of credited authors
language_codestringISO language code
languagestringFull language name
issued_datestringDate digitized/added to Project Gutenberg
primary_subjectstringPrimary subject heading
subject_countstringTotal number of subject headings
locc_classificationstringLibrary of Congress Classification code(s)
locc_areastringMapped LoCC broad subject area
genrestringDerived genre (Fiction, Poetry, History, Science Fiction, Mystery, etc.)
literary_erastringEstimated literary period (Medieval, Renaissance, Romantic, Victorian, Modern, Contemporary)
bookshelfstringProject Gutenberg bookshelf category
sourcestringData source identifier
urlstringDirect link to the work
licensestringLicense type (all Public Domain)
title_word_countstringNumber of words in title
has_authorstringWhether author is known (1/0)
is_englishstringEnglish language flag (1/0)
has_classificationstringHas LoCC classification (1/0)

Sample Data

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For AI Agents

Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Public Domain Books Catalog" })
// Found: 9e20a575-5493-47d9-b71b-ad0dc12be01a
get_download_url({ dataset_id: "9e20a575-5493-47d9-b71b-ad0dc12be01a" })  // free — sign in with MCP OAuth first
Via REST API
# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/9e20a575-5493-47d9-b71b-ad0dc12be01a/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"