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--- |
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annotations_creators: |
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- no-annotation |
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language_creators: |
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- machine-generated |
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language: |
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- en |
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license: |
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- apache-2.0 |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 100K<n<1M |
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source_datasets: |
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- original |
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task_categories: |
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- other |
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task_ids: [] |
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paperswithcode_id: eth-py150-open |
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pretty_name: ethpy150open |
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tags: |
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- contextual-embeddings |
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--- |
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# Dataset Card for ethpy150open |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** https://www.sri.inf.ethz.ch/py150 |
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- **Repository:** https://github.com/google-research-datasets/eth_py150_open |
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- **Paper:** https://proceedings.icml.cc/static/paper_files/icml/2020/5401-Paper.pdf |
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- **Leaderboard:** None |
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- **Point of Contact:** Aditya Kanade <kanade@iisc.ac.in>, Petros Maniatis <maniatis@google.com> |
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### Dataset Summary |
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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) |
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### Supported Tasks and Leaderboards |
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[More Information Needed] |
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### Languages |
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English |
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## Dataset Structure |
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List of dicts of |
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{ |
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"filepath": The relative URL containing the path to the file on GitHub |
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"license": The license used for that specific file or repository |
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} |
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### Data Instances |
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{ |
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"filepath": "0rpc/zerorpc-python/setup.py", |
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"license": "mit" |
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}, |
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{ |
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"filepath": "0rpc/zerorpc-python/zerorpc/heartbeat.py", |
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"license": "mit" |
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}, |
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### Data Fields |
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- `filepath`: The relative URL containing the path to the file on GitHub |
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- `license`: The license used for that specific file or repository |
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### Data Splits |
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| | Train | Valid | Test | |
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| ----- | ------- | ----- | ----- | |
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| Dataset Split | 74749 | 8302 | 41457 | |
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## Dataset Creation |
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The original dataset is at https://www.sri.inf.ethz.ch/py150 |
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### Curation Rationale |
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To generate a more redistributable version of the dataset |
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### Source Data |
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#### Initial Data Collection and Normalization |
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All the urls are filepaths relative to GitHub and the master branch was used as available at the time |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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Apache License 2.0 |
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### Citation Information |
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@inproceedings{kanade2020learning, |
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title={Learning and Evaluating Contextual Embedding of Source Code}, |
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author={Kanade, Aditya and Maniatis, Petros and Balakrishnan, Gogul and Shi, Kensen}, |
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booktitle={International Conference on Machine Learning}, |
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pages={5110--5121}, |
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year={2020}, |
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organization={PMLR} |
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} |
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### Contributions |
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Thanks to [@Bharat123rox](https://github.com/Bharat123rox) for adding this dataset. |
