| --- |
| annotations_creators: |
| - no-annotation |
| language: |
| - py |
| language_creators: |
| - found |
| license: |
| - unknown |
| multilinguality: |
| - monolingual |
| size_categories: |
| - 10K<n<100K |
| source_datasets: |
| - original |
| task_categories: |
| - code-generation |
| - conditional-text-generation |
| task_ids: |
| - language-modeling |
| - code-generation |
| --- |
| |
| # Dataset Card for notional-python |
|
|
| ## Table of Contents |
| - [Dataset Description](#dataset-description) |
| - [Dataset Summary](#dataset-summary) |
| - [Languages](#languages) |
| - [Dataset Creation](#dataset-creation) |
| - [Curation Rationale](#curation-rationale) |
| - [Source Data](#source-data) |
| - [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) |
|
|
| ## Dataset Description |
|
|
| - **Homepage:** https://notional.ai/ |
| - **Repository:** [Needs More Information] |
| - **Paper:** [Needs More Information] |
| - **Leaderboard:** [Needs More Information] |
| - **Point of Contact:** [Needs More Information] |
|
|
| ### Dataset Summary |
|
|
| The Notional-python dataset contains python code files from 100 well-known repositories gathered from Google Bigquery Github Dataset. The dataset was created to test the ability of programming language models. |
| Follow [our repo]() to do the model evaluation using notional-python dataset. |
|
|
| ### Languages |
|
|
| Python |
|
|
| ## Dataset Creation |
|
|
| ### Curation Rationale |
|
|
| Notional-python was built to provide a dataset for testing the ability of the machine to generate python code. |
|
|
| ### Source Data |
|
|
| #### Initial Data Collection and Normalization |
|
|
| The data was obtained by filtering code from [Google Bigquery Github data](https://cloud.google.com/blog/topics/public-datasets/github-on-bigquery-analyze-all-the-open-source-code) |
| In order to improve the quality of the dataset, only python code files that meet the below conditions are added to the dataset: |
| - Code with more than 60% of executable lines |
| - Code with logic, not config files or comment-only files |
| - Code with more than 30% of attribute declaration lines (E.G.: Some files contain just only class names and their class attributes, usually used for configuration of the project, these files were not selected) |
| - Code without `TODO` and `FIXME`. |
|
|
| #### Who are the source language producers? |
|
|
| The producers are users of github. |
|
|
