metadata

dataset_info:
  features:
    - name: meta
      struct:
        - name: 'Unnamed: 28'
          dtype: string
        - name: _jaar
          dtype: int64
        - name: achternaam
          dtype: string
        - name: bibliotheek
          dtype: string
        - name: categorie
          dtype: int64
        - name: chapter
          dtype: int64
        - name: druk
          dtype: string
        - name: edition
          dtype: string
        - name: geb_datum
          dtype: string
        - name: geb_land_code
          dtype: string
        - name: geb_plaats
          dtype: string
        - name: geb_plaats_code
          dtype: string
        - name: genre
          dtype: string
        - name: jaar
          dtype: string
        - name: jaar_geboren
          dtype: string
        - name: jaar_overlijden
          dtype: string
        - name: language
          dtype: string
        - name: maand
          dtype: string
        - name: overl_datum
          dtype: string
        - name: overl_land_code
          dtype: string
        - name: overl_plaats
          dtype: string
        - name: overl_plaats_code
          dtype: string
        - name: pers_id
          dtype: string
        - name: ppn_o
          dtype: string
        - name: revision_date
          dtype: string
        - name: section
          dtype: int64
        - name: text_url
          dtype: string
        - name: ti_id
          dtype: string
        - name: titel
          dtype: string
        - name: url
          dtype: string
        - name: vols
          dtype: string
        - name: voornaam
          dtype: string
        - name: voorvoegsel
          dtype: string
        - name: vrouw
          dtype: int64
    - name: text
      dtype: string
    - name: id
      dtype: string
configs:
  - config_name: default
    data_files:
      - split: train
        path: train.parquet
      - split: validation
        path: validation.parquet
task_categories:
  - text-generation
  - fill-mask
language:
  - nl
multilinguality:
  - monolingual
size_categories:
  - 100K<n<1M
license:
  - cc0-1.0

Dataset Card for "dbnl.org-dutch-public-domain"

Dataset Description
Dataset Structure
Dataset Creation
Considerations for Using the Data
Additional Information

Dataset Description

Homepage: DBNL Public Domain Collection
Point of Contact: julian at vdgoltz.net

Dataset Summary

This dataset comprises a collection of texts from the Dutch Literature in the public domain, specifically from the DBNL (Digitale Bibliotheek voor de Nederlandse Letteren) public domain collection. The collection includes books, poems, songs, and other documentation, letters, etc., that are at least 140 years old and thus free of copyright restrictions. Each entry in the dataset corresponds to one section of a chapter of a text, ensuring a granular level of detail for text analysis.

Supported Tasks and Leaderboards

Language Modeling
Text Generation
Other tasks that can benefit from historical Dutch texts

Languages

The dataset is primarily in Dutch (nl).

Dataset Structure

Data Instances

A data instance corresponds to a section of a chapter of a document, including metadata such as title, author, publication year, and the text content itself.

Data Fields

ti_id: Unique text identifier
titel: Title of the text
jaar: Publication year
druk: Edition
bibliotheek: Library code
categorie: Category ID
pers_id: Person ID
voornaam: Author's first name
achternaam: Author's last name
url: URL to the text
text_url: URL to the text in .txt format
revision_date: Date of the revision
edition: Edition details
language: Language of the text
chapter: Chapter number
section: Section number

Data Splits

The dataset is split into training and validation sets at text level (90:10), ensuring that sections or chapters from the same document do not leak from one split to another.

Dataset Creation

Curation Rationale

The dataset was curated to make historical Dutch texts available for computational analysis, preserving cultural heritage and supporting research in the humanities and linguistic studies.

Source Data

Initial Data Collection and Normalization

Data was collected from the DBNL's public domain collection, normalized, and structured to facilitate computational use.

Who are the source language producers?

The source language producers are authors of Dutch literature whose works have entered the public domain, implying their passing at least 70 years ago.

Annotations

The dataset does not contain annotations.

Personal and Sensitive Information

Given the historical nature of the texts, they are free from personal and sensitive information concerns in the contemporary sense. However, they reflect the social norms, biases, and cultural contexts of their time.

Considerations for Using the Data

Social Impact of Dataset

The dataset serves as a valuable resource for understanding Dutch literary heritage, cultural history, and language evolution over time. It can support diverse research agendas in computational linguistics, cultural studies, and history.

Discussion of Biases

The texts contain biases prevalent at their time of publication, including colonialism, racism, sexism, and other societal norms of their era. Users are urged to consider these contexts critically and use the data responsibly.

Other Known Limitations

The dataset's historical nature means it may not be suitable for applications requiring contemporary language use or norms.

Additional Information

Dataset Curators

This dataset was curated by https://huggingface.co/jvdgoltz, who is not affiliated with DBNL.org and did not act on their behalf. The data is sourced from the DBNL public domain collection.

Licensing Information

The texts in this dataset are in the public domain. According to Chat-GPT 4, the best fitting license would be: Creative Commons Zero v1.0 Universal, making them legally available for use, redistribution, and adaptation by anyone for any purpose.

Citation Information

Not applicable.

Datasets:

jvdgoltz
/

dbnl.org-dutch-public-domain