Update README.md
Browse files
README.md
CHANGED
|
@@ -48,11 +48,18 @@ from datasets import load_dataset
|
|
| 48 |
ds = load_dataset("se2p/code-readability-merged")
|
| 49 |
```
|
| 50 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 51 |
The dataset is structured as follows:
|
| 52 |
|
| 53 |
-
```
|
| 54 |
{
|
| 55 |
-
"code_snippet": ..., # Java source code snippet
|
| 56 |
"score": ... # Readability score
|
| 57 |
}
|
| 58 |
```
|
|
@@ -86,8 +93,6 @@ The code_snippet (string) is the code snippet that was rated in a study by multi
|
|
| 86 |
Those could answer based on a five point Likert scale, with 1 being very unreadable and 5 being very readable.
|
| 87 |
The score (float) is the averaged rating score of all participants between 1.0 (very unreadable) and 5.0 (very readable).
|
| 88 |
|
| 89 |
-
The snippets are **not** split into train and test (and validation) set.
|
| 90 |
-
|
| 91 |
## Dataset Creation
|
| 92 |
|
| 93 |
### Curation Rationale
|
|
|
|
| 48 |
ds = load_dataset("se2p/code-readability-merged")
|
| 49 |
```
|
| 50 |
|
| 51 |
+
The snippets are **not** split into train and test (and validation) set. Thus, the whole dataset is in the **train** set:
|
| 52 |
+
```python
|
| 53 |
+
ds = ds['train']
|
| 54 |
+
ds_as_list = ds.to_list() # Convert the dataset to whatever format suits you best
|
| 55 |
+
|
| 56 |
+
```
|
| 57 |
+
|
| 58 |
The dataset is structured as follows:
|
| 59 |
|
| 60 |
+
```json
|
| 61 |
{
|
| 62 |
+
"code_snippet": ..., # Java source code snippet
|
| 63 |
"score": ... # Readability score
|
| 64 |
}
|
| 65 |
```
|
|
|
|
| 93 |
Those could answer based on a five point Likert scale, with 1 being very unreadable and 5 being very readable.
|
| 94 |
The score (float) is the averaged rating score of all participants between 1.0 (very unreadable) and 5.0 (very readable).
|
| 95 |
|
|
|
|
|
|
|
| 96 |
## Dataset Creation
|
| 97 |
|
| 98 |
### Curation Rationale
|