README.md

metadata

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 Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • 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, introduced in the ICML 2020 paper 'Learning and Evaluating Contextual Embedding of Source Code'

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 for adding this dataset.