Data description

README.md

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----
-license: mit
----
+---
+license: mit
+tags:
+- Software Analysis
+pretty_name: Mac App Store Applications Metadata
+size_categories:
+- 10K<n<100K
+---
+
+# Dataset Card for Macappstore Applications Metadata
+
+<!-- Provide a quick summary of the dataset. -->
+Mac App Store Applications Metadata sourced by the public API
+
+## Dataset Details
+
+This data aims to cover our internal company research needs and start collecting and sharing the macOS app dataset since we have yet to find a suitable existing one.
+
+Full application metadata for over 87,000 samples was sourced by the public iTunes search API for the US, Germany, and Ukraine between December 2023 and January 2024.
+
+For the convenience of further analysis, we present the data as three separate datasets: metadata, release notes, and descriptions.
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+
+- **Curated by:** [MacPaw Inc.](https://huggingface.co/MacPaw)
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [MacPaw Inc.](https://huggingface.co/MacPaw)
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+
+### Dataset Sources [optional]
+
+<!-- Provide the basic links for the dataset. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+<!--
+## Uses
+
+<!-- Address questions around how the dataset is intended to be used. -->
+
+<!--
+### Direct Use
+
+<!-- This section describes suitable use cases for the dataset. -->
+
+<!--
+[More Information Needed]
+
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
+
+<!--
+[More Information Needed]
+-->
+
+## Dataset Structure
+
+<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+For the convenience of further analysis, we present the data as three separate datasets.
+
+**Metadata Dataset**
+
+The data is provided in its original form without any additional cleaning or transformations. It is organized into 43 columns ranging from such essential details as app names, descriptions, and genres, along with release and version information, user ratings, and asset links. 
+All the data is grouped by the country API and is presented in the corresponding CSV files: `metadata-US.csv`, `metadata-DE.csv`, and `metadata-UA.csv`.
+
+**Release Notes Dataset**
+
+This dataset is a combined and refined subset of a metadata dataset. The main idea behind its creation is to separate the release notes text of the macOS apps for further analysis.
+
+ 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, release date, current version release date, language, and the release notes themselves. The dataset primarily focuses on the release notes texts, so was additionally deduplicated by this attribute, resulting in over 24,000 apps.
+ 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`.
+
+**Descriptions Dataset** 
+
+By analogy with the Release Notes dataset, we also formed a separate one from the metadata dataset with app descriptions. The corresponding fields were selected, and each record was additionally assigned with the description language detected by the  [langdetect](https://pypi.org/project/langdetect/) library so that the dataset is organized into five columns, including app name, bundle id, id, language, and description text.
+
+In the final step, the descriptions were deduplicated, resulting in almost 39,000 unique records. The prevalent language is English (78%), followed by German (16%); the rest are less than 2%. The data is organized in a single CSV file: `descriptions.csv`.
+
+## Dataset Creation
+
+<!--
+### Curation Rationale
+
+<!-- Motivation for the creation of this dataset. -->
+
+[More Information Needed]
+
+### Source Data
+
+<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+
+#### Data Collection and Processing
+
+<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
+
+[More Information Needed]
+
+<!--
+#### Who are the source data producers?
+
+<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
+
+<!--
+[More Information Needed]
+
+### Annotations [optional]
+
+<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
+<!--
+#### Annotation process
+
+<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
+<!--N/A[More Information Needed]
+
+#### Who are the annotators?
+
+<!-- This section describes the people or systems who created the annotations. -->
+<!--[More Information Needed]
+
+#### Personal and Sensitive Information
+
+<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
+
+<!--[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+<!--[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+<!--Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
+-->
+## Citation [optional]
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+<!---
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
+
+<!---[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Dataset Card Authors [optional]
+
+[More Information Needed]
+-->
+## Dataset Card Contact
+
+Feel free to reach out [email protected] if you have any questions or need further information about the dataset!