---
license: mit
language:
- en
- de
tags:
- Software Analysis
pretty_name: Mac App Store Applications Release Notes
size_categories:
- 10K<n<100K
---

# Dataset Card for Macappstore Applications Release Notes

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Mac App Store Applications release notes extracted from the metadata from the public API.


- **Curated by:** [MacPaw Inc.](https://huggingface.co/MacPaw)
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<!--- **Shared by [optional]:** [MacPaw Inc.](https://huggingface.co/MacPaw) -->
- **Language(s) (NLP):** Mostly EN, DE
- **License:** MIT

## Dataset Details

This dataset is a combined and refined [Mac App Store Applications Metadata dataset](https://huggingface.co/datasets/MacPaw/macappstore-apps-metadata) subset. 
The main idea behind its creation is to separate the release notes texts of the macOS apps for the convenience of further analysis.
<!--For the convenience of further analysis, we present the data as three separate datasets: metadata, release notes, and descriptions.

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### Source Data

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## Data Collection and Processing

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The full application metadata was fetched by querying the iTunes Search API with
the request:

`https://itunes.apple.com/search?term={term} &country={country}&entity={entity}&genreId=genre &limit={limit}&offset={offset}},` 

where the `term` parameter was selected in a way that maximized app types and skipped games; `country` and `offset` had to be specified to avoid the API limitations.
 
Key fields related to release notes were selected, and entries were additionally classified by language using the [langdetect](https://pypi.org/project/langdetect/) library. 
The relevant fields include the app name (`trackName`), bundle ID, release date, current version release date, language (`lang`), and the release notes themselves.

The dataset primarily focuses on the release notes texts, 
so the collected data of over 87,000 samples was additionally cleaned from missing values and deduplicated by this attribute. As a result, over 24,000 apps with unique release notes texts were obtained.
The dominant languages are English (75%) and German (13%); the others have less than 600  entries (3%). 
The data is organized in a single CSV file: `release-notes.csv`.
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## Links
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- [MacPaw Research](https://research.macpaw.com/)
  
- [Mac App Store Applications Metadata dataset](https://huggingface.co/datasets/MacPaw/macappstore-apps-metadata)

- [Mac App Store Applications Descriptions dataset](https://huggingface.co/datasets/MacPaw/macappstore-apps-descriptions)


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## Dataset Card Contact

Feel free to reach out tech-research@macpaw.com if you have any questions or need further information about the dataset!