Datasets:
Tasks:
Other
Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
machine-generated
Annotations Creators:
no-annotation
Source Datasets:
original
License:
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. |