Datasets:
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license: apache-2.0
task_categories:
- text-generation
- fill-mask
language:
- code
size_categories:
- 1K<n<10K
dataset_info:
- config_name: all
features:
- name: repository_name
dtype: string
- name: func_path_in_repository
dtype: string
- name: func_name
dtype: string
- name: whole_func_string
dtype: string
- name: language
dtype: string
- name: func_code_string
dtype: string
- name: func_code_tokens
sequence: string
- name: func_documentation_string
dtype: string
- name: func_documentation_tokens
sequence: string
- name: split_name
dtype: string
- name: func_code_url
dtype: string
configs:
- config_name: default
data_files:
- split: train
path: "train/train.jsonl"
- split: test
path: "test/test.jsonl"
- split: validation
path: "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',
'repository_name': 'organisation/repository',
'func_path_in_repository': 'src/path/to/file.py',
'func_name': 'func',
'whole_func_string': 'def func(args):\n"""Docstring"""\n [...]',
'language': 'python',
'func_code_string': '[...]',
'func_code_tokens': ['def', 'func', '(', 'args', ')', ...],
'func_documentation_string': 'Docstring',
'func_documentation_string_tokens': ['Docstring'],
'split_name': 'train',
'func_code_url': 'https://github.com/<org>/<repo>/blob/<hash>/src/path/to/file.py#L111-L150'
}
```
### Data Fields
- `id`: Arbitrary number
- `repository_name`: name of the GitHub repository
- `func_path_in_repository`: tl;dr: path to the file which holds the function in the repository
- `func_name`: name of the function in the file
- `whole_func_string`: Code + documentation of the function
- `language`: Programming language in whoch the function is written
- `func_code_string`: Function code
- `func_code_tokens`: Tokens yielded by Treesitter
- `func_documentation_string`: Function documentation
- `func_documentation_string_tokens`: Tokens yielded by Treesitter
- `split_name`: Name of the split to which the example belongs (one of train, test or valid)
- `func_code_url`: URL to the function code on Github
### Data Splits
Three splits are available:
- train
- test
- valid
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