Datasets:
metadata
license: apache-2.0
task_categories:
- text-generation
- fill-mask
language:
- code
size_categories:
- 1K<n<10K
dataset_info:
- config_name: cpp
features:
- name: func_code_string
dtype: string
splits:
- name: train
num_bytes: 0
num_examples: 3000
- name: test
num_bytes: 0
num_examples: 100
- name: validation
num_bytes: 0
num_examples: 1000
download_size: 0
dataset_size: 0
- config_name: cpp
features:
- name: func_code_string
dtype: string
splits:
- name: train
num_bytes: 1429272535
num_examples: 454451
- name: test
num_bytes: 82377246
num_examples: 26909
- name: validation
num_bytes: 42358315
num_examples: 15328
download_size: 1060569153
dataset_size: 1554008096
configs:
- config_name: default
data_files:
- split: train
path: cpp_dataset/train/train.jsonl
- split: test
path: cpp_dataset/test/test.jsonl
- split: validation
path: cpp_dataset/validation/validation.jsonl
C++ Dataset
documentation source: https://huggingface.co/docs/datasets/main/en/repository_structure
Supported Tasks and Leaderboards
language-modeling
: The dataset can be used to train a model for modelling programming languages, which consists in building language models for programming languages.
Language
- C++ programming language
Dataset Structure
Data Instances
A data point consists of a function code along with its documentation. Each data point also contains meta data on the function, such as the repository it was extracted from.
{
'id': '0',
'func_code_string': 'organisation/repository'
}
Data Fields
id
: Arbitrary numberfunc_code_string
: actual code line (each line is a whole C++ program)
Data Splits
Three splits are available as .jsonl
:
- train (3000 lines)
- test (100 lines)
- valid (1000 lines)
Citation Information
- based on this dataset source: https://huggingface.co/datasets/nguyentruong-ins/codeforces_cpp_cleaned/tree/main/data
- based on format and idea: https://huggingface.co/datasets/code_search_net
- expanded by @article{husain2019codesearchnet, title={C++ Dataset}, author={Klaes, Malte}, year={2024} }