eth_py150_open

# Dataset Card for ethpy150open

## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)

## Dataset Description

- **Homepage:** https://www.sri.inf.ethz.ch/py150
- **Repository:** https://github.com/google-research-datasets/eth_py150_open
- **Paper:** https://proceedings.icml.cc/static/paper_files/icml/2020/5401-Paper.pdf
- **Leaderboard:** None
- **Point of Contact:** Aditya Kanade <[e-mail]>, Petros Maniatis <[e-mail]>

### Dataset Summary

A redistributable subset of the [ETH Py150 corpus](https://www.sri.inf.ethz.ch/py150), introduced in the ICML 2020 paper ['Learning and Evaluating Contextual Embedding of Source Code'](https://proceedings.icml.cc/static/paper_files/icml/2020/5401-Paper.pdf)

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

English

## Dataset Structure
List of dicts of
{
"filepath": The relative URL containing the path to the file on GitHub
"license": The license used for that specific file or repository
}

### Data Instances

{
"filepath": "0rpc/zerorpc-python/setup.py",
"license": "mit"
},
{
"filepath": "0rpc/zerorpc-python/zerorpc/heartbeat.py",
"license": "mit"
},

### Data Fields

- `filepath`: The relative URL containing the path to the file on GitHub
- `license`: The license used for that specific file or repository

### Data Splits

| | Train | Valid | Test |
| ----- | ------- | ----- | ----- |
| Dataset Split | 74749 | 8302 | 41457 |

## Dataset Creation
The original dataset is at https://www.sri.inf.ethz.ch/py150
### Curation Rationale

To generate a more redistributable version of the dataset

### Source Data

#### Initial Data Collection and Normalization

All the urls are filepaths relative to GitHub and the master branch was used as available at the time

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

Apache License 2.0

### Citation Information

@inproceedings{kanade2020learning,
title={Learning and Evaluating Contextual Embedding of Source Code},
author={Kanade, Aditya and Maniatis, Petros and Balakrishnan, Gogul and Shi, Kensen},
booktitle={International Conference on Machine Learning},
pages={5110--5121},
year={2020},
organization={PMLR}
}

### Contributions

Thanks to [@Bharat123rox](https://github.com/Bharat123rox) for adding this dataset.

# ethpy150open 数据集卡片

## 目录
- [数据集描述](#dataset-description)
- [数据集摘要](#dataset-summary)
- [支持的任务与排行榜](#supported-tasks-and-leaderboards)
- [语言](#languages)
- [数据集结构](#dataset-structure)
- [数据实例](#data-instances)
- [数据字段](#data-fields)
- [数据集划分](#data-splits)
- [数据集构建](#dataset-creation)
- [遴选依据](#curation-rationale)
- [源数据](#source-data)
- [标注信息](#annotations)
- [个人与敏感信息](#personal-and-sensitive-information)
- [数据集使用注意事项](#considerations-for-using-the-data)
- [数据集的社会影响](#social-impact-of-dataset)
- [偏差讨论](#discussion-of-biases)
- [其他已知局限性](#other-known-limitations)
- [附加信息](#additional-information)
- [数据集策展人](#dataset-curators)
- [许可证信息](#licensing-information)
- [引用信息](#citation-information)
- [贡献](#contributions)

## 数据集描述

- **主页**：https://www.sri.inf.ethz.ch/py150
- **代码仓库**：https://github.com/google-research-datasets/eth_py150_open
- **相关论文**：https://proceedings.icml.cc/static/paper_files/icml/2020/5401-Paper.pdf
- **排行榜**：无
- **联系方式**：Aditya Kanade <[e-mail]>、Petros Maniatis <[e-mail]>

### 数据集摘要
本数据集是[ETH Py150语料库（ETH Py150 corpus）]的可再分发子集，该语料库出自ICML 2020论文《学习与评估源代码的上下文嵌入》（*Learning and Evaluating Contextual Embedding of Source Code*）。

### 支持的任务与排行榜
[需补充更多信息]

### 语言
英语

## 数据集结构
由如下格式的字典组成的列表：
{
"filepath": 指向GitHub上该文件路径的相对URL,
"license": 该特定文件或仓库所采用的许可证
}

### 数据实例
{
"filepath": "0rpc/zerorpc-python/setup.py",
"license": "mit"
},
{
"filepath": "0rpc/zerorpc-python/zerorpc/heartbeat.py",
"license": "mit"
}

### 数据字段
- `filepath`：指向GitHub上该文件路径的相对URL
- `license`：该特定文件或仓库所采用的许可证

### 数据集划分
| | 训练集 | 验证集 | 测试集 |
| ----- | ------- | ----- | ----- |
| 数据集划分 | 74749 | 8302 | 41457 |

## 数据集构建
原始数据集地址为 https://www.sri.inf.ethz.ch/py150

### 遴选依据
为生成该数据集的可再分发版本。

### 源数据
#### 初始数据收集与标准化
所有URL均为相对于GitHub的文件路径，且采用采集时可用的主分支数据。

#### 源语言生产者为何人？
[需补充更多信息]

### 标注信息
#### 标注流程
[需补充更多信息]

#### 标注者为何人？
[需补充更多信息]

### 个人与敏感信息
[需补充更多信息]

## 数据集使用注意事项

### 数据集的社会影响
[需补充更多信息]

### 偏差讨论
[需补充更多信息]

### 其他已知局限性
[需补充更多信息]

## 附加信息

### 数据集策展人
[需补充更多信息]

### 许可证信息
Apache许可证2.0

### 引用信息
@inproceedings{kanade2020learning,
title={Learning and Evaluating Contextual Embedding of Source Code},
author={Kanade, Aditya and Maniatis, Petros and Balakrishnan, Gogul and Shi, Kensen},
booktitle={International Conference on Machine Learning},
pages={5110--5121},
year={2020},
organization={PMLR}
}

### 贡献
感谢[@Bharat123rox](https://github.com/Bharat123rox)为本数据集的收录提供支持。