| --- |
| annotations_creators: |
| - no-annotation |
| language_creators: |
| - other |
| language: [] |
| license: |
| - lgpl-3.0 |
| multilinguality: [] |
| pretty_name: Sketch Data Model Dataset |
| size_categories: |
| - 1M<n<10M |
| task_categories: [] |
| task_ids: [] |
| --- |
| # Dataset Card for Sketch Data Model Dataset |
|
|
| ## Table of Contents |
| - [Dataset Description](#dataset-description) |
| - [Dataset Summary](#dataset-summary) |
| - [Supported Tasks](#supported-tasks-and-leaderboards) |
| - [Dataset Structure](#dataset-structure) |
| - [Data Instances](#data-instances) |
| - [Data Fields](#data-instances) |
| - [Data Splits](#data-instances) |
| - [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) |
|
|
| ## Dataset Description |
|
|
| - **Homepage:** https://github.com/sketchai |
| - **Repository:** https://github.com/sketchai/preprocessing |
| - **Paper:** [Needs More Information] |
| - **Leaderboard:** [Needs More Information] |
| - **Point of Contact:** [Needs More Information] |
|
|
| ### Dataset Summary |
|
|
| This dataset contains over 6M CAD 2D sketches extracted from Onshape. Sketches are stored as python objects in the custom SAM format. |
| SAM leverages the [Sketchgraphs](https://github.com/PrincetonLIPS/SketchGraphs) dataset for industrial needs and allows for easier transfer learning on other CAD softwares. |
|
|
| ### Supported Tasks and Leaderboards |
|
|
| Tasks: Automatic Sketch Generation, Auto Constraint |
|
|
| ## Dataset Structure |
|
|
| ### Data Instances |
|
|
| The presented npy files contain python pickled objects and require the [flat_array](https://github.com/PrincetonLIPS/SketchGraphs/blob/master/sketchgraphs/data/flat_array.py) module of Sketchgraphs to be loaded. The normalization_output_merged.npy file contains sketch sequences represented as a list of SAM Primitives and Constraints. The sg_merged_final_*.npy files contain encoded constraint graphs of the sketches represented as a dictionnary of arrays. |
| |
| ### Data Fields |
| |
| [Needs More Information] |
| |
| ### Data Splits |
| |Train |Val |Test | |
| |------|------|------| |
| |6M |50k | 50k | |
| |
| ## Dataset Creation |
| |
| ### Curation Rationale |
| |
| [Needs More Information] |
| |
| ### Source Data |
| |
| #### Initial Data Collection and Normalization |
| |
| [Needs More Information] |
| |
| #### Who are the source language producers? |
| |
| [Needs More Information] |
| |
| ### Annotations |
| |
| #### Annotation process |
| |
| [Needs More Information] |
| |
| #### Who are the annotators? |
| |
| [Needs More Information] |
| |
| ### Personal and Sensitive Information |
| |
| [Needs More Information] |
| |
| ## Considerations for Using the Data |
| |
| ### Social Impact of Dataset |
| |
| [Needs More Information] |
| |
| ### Discussion of Biases |
| |
| [Needs More Information] |
| |
| ### Other Known Limitations |
| |
| [Needs More Information] |
| |
| ## Additional Information |
| |
| ### Dataset Curators |
| |
| [Needs More Information] |
| |
| ### Licensing Information |
| |
| [Needs More Information] |
| |
| ### Citation Information |
| |
| [Needs More Information] |
