---
license: mit
dataset_info:
features:
- name: repo_name
dtype: string
- name: sub_path
dtype: string
- name: file_name
dtype: string
- name: file_ext
dtype: string
- name: file_size_in_byte
dtype: int64
- name: line_count
dtype: int64
- name: lang
dtype: string
- name: program_lang
dtype: string
- name: doc_type
dtype: string
splits:
- name: The_Stack_V2
num_bytes: 46577045485
num_examples: 336845710
download_size: 20019085005
dataset_size: 46577045485
configs:
- config_name: default
data_files:
- split: The_Stack_V2
path: data/The_Stack_V2-*
---
This dataset consists of meta information (including the repository name and file path) of the raw code data from **RefineCode**. You can collect those files referring to this metadata and reproduce **RefineCode**!
***Note:** Currently, we have uploaded the meta data covered by The Stack V2 (About 50% file volume). Due to complex legal considerations, we are unable to provide the complete source code currently. We are working hard to make the remaining part available.*
---
**RefineCode** is a **high-quality**, **reproducible** code pretraining corpus comprising **960 billion** tokens across **607** programming languages and **75 billion** code-related token recalled from web corpus, incorporating over **130** language-specific rules with customized weight assignments.
Our dataset shows better training efficacy and efficiency compared with the training subset of The Stack V2.
We also use PCA to visualize the embeddings extracted from CodeBERT for The Stack V2 and **RefineCode**, showing a clear advance of our pretraining dataset.
