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---
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"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:** [DBNL Public Domain Collection](https://www.dbnl.org/letterkunde/pd/index.php)
- **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.
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