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Update README.md

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@@ -10,17 +10,17 @@ tags:
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  - source code
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  - code readability
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  - Java
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- pretty_name: Java Code Readability Combined Dataset
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  size_categories:
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  - n<1K
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  features:
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- - name: code_snippet
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- dtype: string
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- - name: score
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- dtype: float
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  ---
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- # Java Code Readability Combined Dataset
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  This dataset contains **421 Java code snippets** along with a **readability score**.
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@@ -28,7 +28,7 @@ You can download the dataset using Hugging Face:
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  ```python
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  from datasets import load_dataset
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- ds = load_dataset("LuKrO/code-readbility-combined")
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  ```
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  The dataset is structured as follows:
@@ -76,7 +76,7 @@ The snippets are **not** split into train and test (and validation) set.
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  ### Curation Rationale
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  To advance code readability classification, the creation of datasets in this research field is of high importance.
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- As a first step, we provide a combined and normalized version of existing datasets on Hugging Face.
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  This makes access and ease of usage of this existing data easier.
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  ### Source Data
@@ -96,7 +96,7 @@ The snippets were selected from four open source Java projects: jUnit, Hibernate
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  #### Data Collection and Processing
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  The dataset was preprocessed by **averaging the readability rating** for each code snippet.
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- The code snippets and ratings were then **combined** from the three sources.
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  Each of the three, Buse, Dorn and Sclabrino selected their code snippets based on different criteria.
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  They had a different number of participants for their surveys.
 
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  - source code
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  - code readability
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  - Java
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+ pretty_name: Java Code Readability Merged Dataset
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  size_categories:
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  - n<1K
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  features:
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+ - name: code_snippet
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+ dtype: string
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+ - name: score
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+ dtype: float
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  ---
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+ # Java Code Readability Merged Dataset
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  This dataset contains **421 Java code snippets** along with a **readability score**.
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  ```python
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  from datasets import load_dataset
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+ ds = load_dataset("se2p/code-readability-merged")
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  ```
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  The dataset is structured as follows:
 
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  ### Curation Rationale
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  To advance code readability classification, the creation of datasets in this research field is of high importance.
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+ As a first step, we provide a merged and normalized version of existing datasets on Hugging Face.
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  This makes access and ease of usage of this existing data easier.
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  ### Source Data
 
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  #### Data Collection and Processing
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  The dataset was preprocessed by **averaging the readability rating** for each code snippet.
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+ The code snippets and ratings were then **merged** from the three sources.
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  Each of the three, Buse, Dorn and Sclabrino selected their code snippets based on different criteria.
102
  They had a different number of participants for their surveys.