| | --- |
| | 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. |
