---
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.