---
license: mit
language:
- en
- fr
- ja
- zh
tags:
- codesearch
pretty_name: XCodeSearchNet
---

```python
from datasets import load_dataset
xcsn_pt_python_en = load_dataset("ynklab/XCodeSearchNet", data_dir='pretraining/python/en')
print(xcsn_pt_python_en['train'][0])
"""
{
  'function_tokens': ['def', 'get_feature_ide_paths', '(', 'container_dir', ',', 'product_name', ')', ':', 'repo_name', '=', 'get_repo_name', '(', 'container_dir', ')', 'class', 'Paths', '(', 'object', ')', ':', 'feature_order_json', '=', 'os', '.', 'path', '.', 'join', '(', 'container_dir', ',', "'_lib/featuremodel/productline/feature_order.json'", ')', 'model_xml_path', '=', 'os', '.', 'path', '.', 'join', '(', 'container_dir', ',', "'_lib/featuremodel/productline/model.xml'", ')', 'config_file_path', '=', 'os', '.', 'path', '.', 'join', '(', 'container_dir', ',', "'_lib/featuremodel/productline/products/'", ',', 'repo_name', ',', 'product_name', ',', "'product.equation.config'", ')', 'equation_file_path', '=', 'os', '.', 'path', '.', 'join', '(', 'container_dir', ',', "'products'", ',', 'product_name', ',', "'product.equation'", ')', 'product_spec_path', '=', 'os', '.', 'path', '.', 'join', '(', 'container_dir', ',', "'_lib/featuremodel/productline/products/'", ',', 'repo_name', ',', "'product_spec.json'", ')', 'return', 'Paths'],
  'docstring': 'Takes the container_dir and the product name and returns all relevant paths from the\n    feature_order_json to the config_file_path.\n    :param container_dir: the full path of the container dir\n    :param product_name: the name of the product\n    :return: object with divert path attributes'
}
"""
```

```python
from datasets import load_dataset
xcsn_ft_python_en = load_dataset("ynklab/XCodeSearchNet", data_dir='finetuning/python/en')
print(xcsn_ft_python_en['train'][0])
```



arxiv.org/abs/2306.15604