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README.md
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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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```
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{
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"code_snippet": ..., # Java source code snippet
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"score": ... # Readability score
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}
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```
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@@ -86,8 +93,6 @@ The code_snippet (string) is the code snippet that was rated in a study by multi
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Those could answer based on a five point Likert scale, with 1 being very unreadable and 5 being very readable.
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The score (float) is the averaged rating score of all participants between 1.0 (very unreadable) and 5.0 (very readable).
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The snippets are **not** split into train and test (and validation) set.
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## Dataset Creation
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### Curation Rationale
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ds = load_dataset("se2p/code-readability-merged")
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```
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The snippets are **not** split into train and test (and validation) set. Thus, the whole dataset is in the **train** set:
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```python
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ds = ds['train']
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ds_as_list = ds.to_list() # Convert the dataset to whatever format suits you best
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```
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The dataset is structured as follows:
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```json
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{
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"code_snippet": ..., # Java source code snippet
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"score": ... # Readability score
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}
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```
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Those could answer based on a five point Likert scale, with 1 being very unreadable and 5 being very readable.
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The score (float) is the averaged rating score of all participants between 1.0 (very unreadable) and 5.0 (very readable).
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## Dataset Creation
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### Curation Rationale
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