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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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- other |
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language: [] |
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license: |
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- lgpl-3.0 |
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multilinguality: [] |
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pretty_name: Sketch Data Model Dataset |
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size_categories: |
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- 1M<n<10M |
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task_categories: [] |
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task_ids: [] |
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--- |
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# Dataset Card for Sketch Data Model Dataset |
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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](#supported-tasks-and-leaderboards) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-instances) |
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- [Data Splits](#data-instances) |
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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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## Dataset Description |
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- **Homepage:** https://github.com/sketchai |
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- **Repository:** https://github.com/sketchai/preprocessing |
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- **Paper:** [Needs More Information] |
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- **Leaderboard:** [Needs More Information] |
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- **Point of Contact:** [Needs More Information] |
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### Dataset Summary |
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This dataset contains over 6M CAD 2D sketches extracted from Onshape. Sketches are stored as python objects in the custom SAM format. |
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SAM leverages the [Sketchgraphs](https://github.com/PrincetonLIPS/SketchGraphs) dataset for industrial needs and allows for easier transfer learning on other CAD softwares. |
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### Supported Tasks and Leaderboards |
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Tasks: Automatic Sketch Generation, Auto Constraint |
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## Dataset Structure |
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### Data Instances |
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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. |
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### Data Fields |
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[Needs More Information] |
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### Data Splits |
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|Train |Val |Test | |
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|------|------|------| |
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|6M |50k | 50k | |
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## Dataset Creation |
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### Curation Rationale |
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[Needs More Information] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[Needs More Information] |
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#### Who are the source language producers? |
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[Needs More Information] |
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### Annotations |
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#### Annotation process |
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[Needs More Information] |
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#### Who are the annotators? |
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[Needs More Information] |
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### Personal and Sensitive Information |
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[Needs More Information] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[Needs More Information] |
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### Discussion of Biases |
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[Needs More Information] |
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### Other Known Limitations |
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[Needs More Information] |
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## Additional Information |
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### Dataset Curators |
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[Needs More Information] |
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### Licensing Information |
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[Needs More Information] |
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### Citation Information |
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[Needs More Information] |
