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@@ -27,7 +27,36 @@ dataset_info:
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  num_examples: 56400
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  download_size: 671035436
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  dataset_size: 4250555345
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for "python_codestyles-random-1k"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  num_examples: 56400
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  download_size: 671035436
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  dataset_size: 4250555345
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+ license: mit
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+ tags:
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+ - python
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+ - code-style
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+ - random
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+ size_categories:
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+ - 100K<n<1M
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  ---
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  # Dataset Card for "python_codestyles-random-1k"
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+ This dataset contains negative and positive examples with python code of compliance with a code style. A positive
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+ example represents compliance with the code style (label is 1). Each example is composed of two components, the first
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+ component consists of a code that either conforms to the code style or violates it and the second component
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+ corresponding to an example code that already conforms to a code style. In total, the dataset contains `1.000` completely
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+ different code styles. The code styles differ in at least one codestyle rule, which is called a `random` codestyle
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+ dataset variant. The dataset consists of a training and test group, with none of the code styles overlapping between
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+ groups. In addition, both groups contain completely different underlying codes.
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+
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+ The examples contain source code from the following repositories:
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+
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+ | repository | tag or commit |
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+ |:-----------------------------------------------------------------------:|:----------------------------------------:|
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+ | [TheAlgorithms/Python](https://github.com/TheAlgorithms/Python) | f614ed72170011d2d439f7901e1c8daa7deac8c4 |
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+ | [huggingface/transformers](https://github.com/huggingface/transformers) | v4.31.0 |
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+ | [huggingface/datasets](https://github.com/huggingface/datasets) | 2.13.1 |
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+ | [huggingface/diffusers](https://github.com/huggingface/diffusers) | v0.18.2 |
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+ | [huggingface/accelerate](https://github.com/huggingface/accelerate) | v0.21.0 |
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+
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+ You can find the corresponding code styles of the examples in the file [additional_data.json](additional_data.json).
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+ The code styles in the file are split by training and test group and the index corresponds to the class for the
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+ columns `code_codestyle` and `style_context_codestyle` in the dataset.
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+
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+ There are 364.400 samples in total and 182.200 positive and 182.200 negative samples.