metadata
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: 2488204589
num_examples: 1168530
download_size: 1135624071
dataset_size: 2488204589
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
This dataset contains deduplicated data from TACO dataset, and additional 107k CodeForces solutions in Python, Java, C++ from this link.
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 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 is greater than 0.2
- Number of Lines: from 6.0 to 300.0