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 Structure
- Dataset Creation
- Considerations for Using the Data
- Additional 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 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 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]