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: source
dtype: string
splits:
- name: train
num_bytes: 169267119695.4714
num_examples: 79257494
download_size: 70525724897
dataset_size: 169267119695.4714
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
This dataset contains deduplicated data from StarCoder, The-Vault-inline and Project_CodeNet.
Cleaning:
- We removed the metadata tags (file-name, number of stars etc) from starcoder split of the dataset
We filtered the data by:
- 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 is greater than 0.2 and less than 0.9
- Number of Lines: from 6.0 to 300.0