| | --- |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | - split: test |
| | path: data/test-* |
| | dataset_info: |
| | features: |
| | - name: code |
| | dtype: string |
| | - name: code_codestyle |
| | dtype: int64 |
| | - name: style_context |
| | dtype: string |
| | - name: style_context_codestyle |
| | dtype: int64 |
| | - name: label |
| | dtype: int64 |
| | splits: |
| | - name: train |
| | num_bytes: 3604934957 |
| | num_examples: 308000 |
| | - name: test |
| | num_bytes: 645620388 |
| | num_examples: 56400 |
| | download_size: 671035436 |
| | dataset_size: 4250555345 |
| | license: mit |
| | tags: |
| | - python |
| | - code-style |
| | - random |
| | size_categories: |
| | - 100K<n<1M |
| | --- |
| | # Dataset Card for "python_codestyles-random-1k" |
| | |
| | This dataset contains negative and positive examples with python code of compliance with a code style. A positive |
| | example represents compliance with the code style (label is 1). Each example is composed of two components, the first |
| | component consists of a code that either conforms to the code style or violates it and the second component |
| | corresponding to an example code that already conforms to a code style. In total, the dataset contains `1.000` completely |
| | different code styles. The code styles differ in at least one codestyle rule, which is called a `random` codestyle |
| | dataset variant. The dataset consists of a training and test group, with none of the code styles overlapping between |
| | groups. In addition, both groups contain completely different underlying codes. |
| | |
| | The examples contain source code from the following repositories: |
| | |
| | | repository | tag or commit | |
| | |:-----------------------------------------------------------------------:|:----------------------------------------:| |
| | | [TheAlgorithms/Python](https://github.com/TheAlgorithms/Python) | f614ed72170011d2d439f7901e1c8daa7deac8c4 | |
| | | [huggingface/transformers](https://github.com/huggingface/transformers) | v4.31.0 | |
| | | [huggingface/datasets](https://github.com/huggingface/datasets) | 2.13.1 | |
| | | [huggingface/diffusers](https://github.com/huggingface/diffusers) | v0.18.2 | |
| | | [huggingface/accelerate](https://github.com/huggingface/accelerate) | v0.21.0 | |
| | |
| | You can find the corresponding code styles of the examples in the file [additional_data.json](additional_data.json). |
| | The code styles in the file are split by training and test group and the index corresponds to the class for the |
| | columns `code_codestyle` and `style_context_codestyle` in the dataset. |
| |
|
| | There are 364.400 samples in total and 182.200 positive and 182.200 negative samples. |
