Dataset for class comment analysis

A list of different projects selected to analyze class comments (available in the source code) of various languages such as Java, Python, and Pharo. The projects vary in terms of size, contributors, and domain. <pre><code class="language-markdown">## Structure ``` Projects/ Java_projects/ eclipse.zip guava.zip guice.zip hadoop.zip spark.zip vaadin.zip Pharo_projects/ images/ GToolkit.zip Moose.zip PetitParser.zip Pillar.zip PolyMath.zip Roassal2.zip Seaside.zip vm/ 70-x64/Pharo Scripts/ ClassCommentExtraction.st SampleSelectionScript.st Python_projects/ django.zip ipython.zip Mailpile.zip pandas.zip pipenv.zip pytorch.zip requests.zip ``` ## Contents of the Replication Package --- **Projects/** contains the raw projects of each language that are used to analyze class comments. - **Java_projects/** - `eclipse.zip` - Eclipse project downloaded from the GitHub. More detail about the project is available on GitHub [Eclipse](https://github.com/eclipse). - `guava.zip` - Guava project downloaded from the GitHub. More detail about the project is available on GitHub [Guava](https://github.com/google/guava). - `guice.zip` - Guice project downloaded from the GitHub. More detail about the project is available on GitHub [Guice](https://github.com/google/guice) - `hadoop.zip` - Apache Hadoop project downloaded from the GitHub. More detail about the project is available on GitHub [Apache Hadoop](https://github.com/apache/hadoop) - `spark.zip` - Apache Spark project downloaded from the GitHub. More detail about the project is available on GitHub [Apache Spark](https://github.com/apache/spark) - `vaadin.zip` - Vaadin project downloaded from the GitHub. More detail about the project is available on GitHub [Vaadin](https://github.com/vaadin/framework) - **Pharo_projects/** - **images/** - - `GToolkit.zip` - Gtoolkit project is imported into the Pharo image. We can run this image with the virtual machine given in the `vm/` folder. The script to extract the comments is already provided in the image. - `Moose.zip` - Moose project is imported into the Pharo image. We can run this image with the virtual machine given in the `vm/` folder. The script to extract the comments is already provided in the image. - `PetitParser.zip` - Petit Parser project is imported into the Pharo image. We can run this image with the virtual machine given in the `vm/` folder. The script to extract the comments is already provided in the image. - `Pillar.zip` - Pillar project is imported into the Pharo image. We can run this image with the virtual machine given in the `vm/` folder. The script to extract the comments is already provided in the image. - `PolyMath.zip` - PolyMath project is imported into the Pharo image. We can run this image with the virtual machine given in the `vm/` folder. The script to extract the comments is already provided in the image. - `Roassal2.zip` - Roassal2 project is imported into the Pharo image. We can run this image with the virtual machine given in the `vm/` folder. The script to extract the comments is already provided in the image. - `Seaside.zip` - Seaside project is imported into the Pharo image. We can run this image with the virtual machine given in the `vm/` folder. The script to extract the comments is already provided in the image. - **vm/** - - **70-x64/Pharo** - Pharo7 (version 7 of Pharo) virtual machine to instantiate the Pharo images given in the `images/` folder. The user can run the vm on macOS and select any of the Pharo image. - **Scripts/** - It contains the sample Smalltalk scripts to extract class comments from various projects. - `ClassCommentExtraction.st` - A Smalltalk script to show how class comments are extracted from various Pharo projects. This script is already provided in the respective project image. - `SampleSelectionScript.st` - A Smalltalk script to show sample class comments of Pharo projects are selected. This script can be run in any of the Pharo images given in the images/ folder. - **Python_projects/** - `django.zip` - Django project downloaded from the GitHub. More detail about the project is available on GitHub [Django](https://github.com/django) - `ipython.zip` - IPython project downloaded from the GitHub. More detail about the project is available on GitHub on [IPython](https://github.com/ipython/ipython) - `Mailpile.zip` - Mailpile project downloaded from the GitHub. More detail about the project is available on GitHub on [Mailpile](https://github.com/mailpile/Mailpile) - `pandas.zip` - pandas project downloaded from the GitHub. More detail about the project is available on GitHub on [pandas](https://github.com/pandas-dev/pandas) - `pipenv.zip` - Pipenv project downloaded from the GitHub. More detail about the project is available on GitHub on [Pipenv](https://github.com/pypa/pipenv) - `pytorch.zip` - PyTorch project downloaded from the GitHub. More detail about the project is available on GitHub on [PyTorch](https://github.com/pytorch/pytorch) - `requests.zip` - Requests project downloaded from the GitHub. More detail about the project is available on GitHub on [Requests](https://github.com/psf/requests/) </code></pre>