File size: 4,611 Bytes
b0b2cff fd325a4 b0b2cff 6020e29 b0b2cff 6020e29 fbfd02e b0b2cff 845e20c 1a242fb db37010 845e20c 3d6c32c 480e8b1 3d6c32c b0b2cff 1a242fb b0b2cff 1a242fb b0b2cff 33f364d b0b2cff 33f364d 845e20c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 |
---
annotations_creators:
- no-annotation
language_creators:
- machine-generated
language:
- en
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- other
task_ids: []
paperswithcode_id: eth-py150-open
pretty_name: ethpy150open
tags:
- contextual-embeddings
dataset_info:
features:
- name: filepath
dtype: string
- name: license
dtype: string
config_name: eth_py150_open
splits:
- name: train
num_bytes: 5414978
num_examples: 74749
- name: test
num_bytes: 3006199
num_examples: 41457
- name: validation
num_bytes: 598524
num_examples: 8302
download_size: 13875671
dataset_size: 9019701
---
# 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 <kanade@iisc.ac.in>, Petros Maniatis <maniatis@google.com>
### 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. |