---
dataset_info:
  features:
  - name: code
    dtype: string
  - name: language
    dtype: string
  - name: AST_depth
    dtype: int64
  - name: alphanumeric_fraction
    dtype: float64
  - name: max_line_length
    dtype: int64
  - name: avg_line_length
    dtype: float64
  - name: num_lines
    dtype: int64
  - name: task
    dtype: string
  - name: source
    dtype: string
  splits:
  - name: train
    num_bytes: 3081197845.7939653
    num_examples: 1424089
  download_size: 335813854
  dataset_size: 3081197845.7939653
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
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). 

Filtering strategy:
- **AST parsability**: we extracted only the AST parsable codes  
- **AST Depth**: only samples with depth from 2.0 to 31.0
- **Maximum Line Length**: only samples with a maximum of 12.0 to 400.0 characters
- **Average Line Length**: only samples with 5.0 to 140.0 characters on average
- **Alphanumeric Fraction** of samples greater than 0.2 and less than 0.75
- **Number of Lines**: from 6.0 to 300.0
- **Language Filter**: samples whose docstring scores an English language confidence greater than 99% by the `lingua` language detector
- **Deduplication**: samples MinHash deduplicated using a shingle size of 8 and a similarity threshold of 0.8