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Remove german readme and link to webpage instead
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metadata
license: mit
dataset_info:
  features:
    - name: name
      dtype: string
    - name: language
      dtype: string
    - name: description
      dtype: string
    - name: source
      dtype: string
    - name: public
      dtype: bool
    - name: id
      dtype: int64
    - name: lastModification
      dtype: timestamp[us, tz=UTC]
    - name: keywords
      sequence: string
    - name: embedding
      sequence: float64
    - name: content
      dtype: string
  splits:
    - name: train
      num_bytes: 43495906
      num_examples: 1446
  download_size: 39682949
  dataset_size: 43495906
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - feature-extraction
language:
  - de
  - en
tags:
  - government
  - german
  - munich
  - services
  - administration
  - citizen
pretty_name: Munich Public Services / Münchner Verwaltungs-Dienstleistungen
size_categories:
  - 1K<n<10K

Dataset Card for "Munich Public Services"

zur deutschen Dokumentation

This dataset contains information about the services provided to the public by the City of Munich in the form of written articles, corresponding metadata as well as embeddings.

Dataset Details

Dataset Description

The Munich Public Services dataset contains around 1.400 articles about various public services provided by the City of Munich. Next to the content of the articles, the dataset also includes metadata such the language of the article, the last modification date, and the keywords associated with the article. The dataset also includes embedding vectors computed from each article, which can be used for Retrieval or other NLP tasks.

  • Curated by: City of Munich, it@M, KI Competence Center
  • Language(s): German, English
  • License: MIT

Dataset Sources

Uses

Direct Use

The dataset can be used to provide information about the public services provided by the City of Munich. This is especially useful for grounding information retrieval systems or Large Language Models in the context of public services. The data can also be used to analyze itself for patterns or trends in the public services provided by the City of Munich.

Out-of-Scope Use

The dataset should not be used for any purpose other than the intended use case of providing information about the public services provided by the City of Munich. This also includes other cities or government entities, as the information is specific to Munich.

The dataset should not be used for any malicious purposes like desinformation or fake news generation. Also using the dataset as input to an LLM for generation of more 'fake' articles should not be done.

Dataset Structure

The dataset consists of the following fields:

Field Type Description
id int The unique identifier of the article.
name string The title of the article.
content string The full text content of the article, formatted in Markdown.
language string The language of the article, either German (de) or English (en).
description string A short description of the article content with a maximum length of x characters, formatted in HTML.
source string Link to the source webpage of the article.
public bool Boolean value indicating if the article is public or not, always True.
lastModification timestamp Timestamp of the last modification of the article in UTC.
keywords sequence [string] A list of keywords associated with the article, the keywords might be in German or English.
embedding sequence [float] A 3072 dimensional embedding vector computed from the article content, using OpenAI's text-embedding-3-large model.

Dataset Creation

Curation Rationale

The dataset was created as a side product of a project to provide a better information retrieval system for the City of Munich's public services. Periodically the dataset is updated to include new articles and to update the embeddings.

Source Data

The dataset is sourced from the city of Munich's public services website and it's underlying CMS. All articles were written by the city of Munich's employees.

Data Collection and Processing

The data was collected by querying an internal API of the city of Munich's CMS. The data was then processed to extract the metadata and the content of the articles. The article content was transformed from HTML to Markdown by using the markdownify library. The embeddings were generated using OpenAI's text-embedding-3-large model.

Who are the source data producers?

The source data producers are the employees of the City of Munich who wrote the articles, there is no attribution to individual authors. The employees are a diverse group of people working in the city's administration with special knowledge about the public services of their respective departments and skills in writing understandable articles.

Personal and Sensitive Information

The dataset does not contain any personal or sensitive information.

Bias, Risks, and Limitations

The provided dataset is only a subset of all public services provided by the City of Munich. Besides that, the data can contain biases in the form of

  • the language used in the articles (so called "Beamtendeutsch" / "administrative German")
  • the quality and information richness of the articles
  • the number of articles for one topic
  • and the keywords associated with the articles.

This can lead to biases in the embeddings and the information retrieval system built on top of the dataset.

Recommendations

To mitigate the biases in the dataset, it is recommended to use the dataset in combination with other sources of information. Another approach is to evaluate the dataset with a custom evaluation set to identify biases for the specific use case and to mitigate them.

More Information

For more information about the AI projects of the City of Munich, please visit the ki.muenchen.de website.

Dataset Card Authors

Fabian Reinold, City of Munich, it@M, AI Competence Center

Dataset Card Contact

For any questions about the dataset, please contact us