irds/codesearchnet

---
pretty_name: '`codesearchnet`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
---

# Dataset Card for `codesearchnet`

The `codesearchnet` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/codesearchnet#codesearchnet).

# Data

This dataset provides:
- `docs` (documents, i.e., the corpus); count=2,070,536

This dataset is used by: [`codesearchnet_challenge`](https://huggingface.co/datasets/irds/codesearchnet_challenge), [`codesearchnet_test`](https://huggingface.co/datasets/irds/codesearchnet_test), [`codesearchnet_train`](https://huggingface.co/datasets/irds/codesearchnet_train), [`codesearchnet_valid`](https://huggingface.co/datasets/irds/codesearchnet_valid)

## Usage

```python
from datasets import load_dataset

docs = load_dataset('irds/codesearchnet', 'docs')
for record in docs:
record # {'doc_id': ..., 'repo': ..., 'path': ..., 'func_name': ..., 'code': ..., 'language': ...}

```

Note that calling `load_dataset` will download the dataset (or provide access instructions when it's not public) and make a copy of the
data in 🤗 Dataset format.

## Citation Information

```
@article{Husain2019CodeSearchNet,
title={CodeSearchNet Challenge: Evaluating the State of Semantic Code Search},
author={Hamel Husain and Ho-Hsiang Wu and Tiferet Gazit and Miltiadis Allamanis and Marc Brockschmidt},
journal={ArXiv},
year={2019}
}
```

原始信息汇总

数据集概述

数据集名称

codesearchnet

数据集来源

由 ir-datasets 包提供。

数据集内容

• 文档数量: 2,070,536
• 文档内容: 包含 doc_id, repo, path, func_name, code, language 等信息。

数据集用途

该数据集被用于以下子集：

• codesearchnet_challenge
• codesearchnet_test
• codesearchnet_train
• codesearchnet_valid

数据集加载示例

python from datasets import load_dataset

docs = load_dataset(irds/codesearchnet, docs) for record in docs: record # {doc_id: ..., repo: ..., path: ..., func_name: ..., code: ..., language: ...}

引用信息

@article{Husain2019CodeSearchNet, title={CodeSearchNet Challenge: Evaluating the State of Semantic Code Search}, author={Hamel Husain and Ho-Hsiang Wu and Tiferet Gazit and Miltiadis Allamanis and Marc Brockschmidt}, journal={ArXiv}, year={2019} }