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--- |
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dataset_info: |
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features: |
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- name: code |
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dtype: string |
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- name: language |
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dtype: string |
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- name: AST_depth |
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dtype: int64 |
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- name: alphanumeric_fraction |
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dtype: float64 |
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- name: max_line_length |
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dtype: int64 |
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- name: avg_line_length |
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dtype: float64 |
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- name: num_lines |
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dtype: int64 |
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- name: task |
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dtype: string |
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- name: source |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 3081197845.7939653 |
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num_examples: 1424089 |
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download_size: 335813854 |
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dataset_size: 3081197845.7939653 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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This dataset contains deduplicated solution data from [TACO](https://huggingface.co/datasets/BAAI/TACO) dataset, 107k LeetCode problem solutions and an additional 73k CodeForces solutions in Python, Java, C++ from [this link](https://www.kaggle.com/datasets/yeoyunsianggeremie/codeforces-code-dataset). |
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Filtering strategy: |
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- **AST parsability**: we extracted only the AST parsable codes |
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- **AST Depth**: only samples with depth from 2.0 to 31.0 |
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- **Maximum Line Length**: only samples with a maximum of 12.0 to 400.0 characters |
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- **Average Line Length**: only samples with 5.0 to 140.0 characters on average |
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- **Alphanumeric Fraction** of samples greater than 0.2 and less than 0.75 |
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- **Number of Lines**: from 6.0 to 300.0 |
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- **Language Filter**: samples whose docstring scores an English language confidence greater than 99% by the `lingua` language detector |
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- **Deduplication**: samples MinHash deduplicated using a shingle size of 8 and a similarity threshold of 0.8 |
