---
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 (🇩🇪 below)

<!-- Provide a quick summary of the dataset. -->
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

<!-- Provide a longer summary of what this dataset is. -->
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) (NLP):** German, English
- **License:** MIT

### Dataset Sources

<!-- Provide the basic links for the dataset. -->
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.
The other metadata was extracted from the CMS.
The embeddings were generated using OPENAI's `text-embedding-3-large` model.

- **Homepage:** [Munich Public Services](https://www.muenchen.de/rathaus/home.html)

## Uses

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### Direct Use

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[More Information Needed]

### Out-of-Scope Use

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## Dataset Structure

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## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

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### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

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#### Who are the source data producers?

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### Annotations [optional]

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#### Annotation process

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#### Who are the annotators?

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#### Personal and Sensitive Information

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## Bias, Risks, and Limitations

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### Recommendations

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

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**BibTeX:**

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**APA:**

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## Glossary [optional]

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## More Information [optional]

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## Dataset Card Authors [optional]

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## Dataset Card Contact

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