cpp_dataset/README.md

---
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
  splits:
  - name: train
    num_bytes: 5850604083
    num_examples: 1880853
  - name: test
    num_bytes: 308626333
    num_examples: 100529
  - name: validation
    num_bytes: 274564382
    num_examples: 89154
  download_size: 5117370511
  dataset_size: 6433794798
- config_name: cpp
  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
  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: "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

### Citation Information

- based on (format and idea): https://huggingface.co/datasets/code_search_net/blob/main/code_search_net.py

@article{husain2019codesearchnet,
  title={C++ Dataset},
  author={Klaes, Malte},
  year={2024}
}