Datasets:
v4.0.0 release notes (#2)
Browse files- v4.0.0 release notes (ccc31105e6cee543124d58ff7aa3c55ae5e42f9d)
README.md
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The Crello dataset is compiled for the study of vector graphic documents. The dataset contains document meta-data such as canvas size and pre-rendered elements such as images or text boxes. The original templates were collected from [crello.com](https://crello.com) (now [create.vista.com](https://create.vista.com/)) and converted to a low-resolution format suitable for machine learning analysis.
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### Supported Tasks and Leaderboards
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[CanvasVAE](https://arxiv.org/abs/2108.01249) studies unsupervised document generation.
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**Canvas attributes**
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| Field | Type | Shape | Description
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| ------------- | ----------- | ------- |
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| id | string | () | Template ID from crello.com
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| group | categorical | () | Broad design groups, such as social media posts or blog headers
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| format | categorical | () | Detailed design formats, such as Instagram post or postcard
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| category | categorical | () | Topic category of the design, such as holiday celebration
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| canvas_width | categorical | () | Canvas pixel width
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| canvas_height | categorical | () | Canvas pixel height
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| length | int64 | () | Length of elements
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| suitability | categorical | (None,) | List of display tags, only `mobile` tag exists
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| keywords | string | (None,) | List of keywords associated to this template
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| industries | categorical | (None,) | List of industry tags like `marketingAds`
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**Element attributes**
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### Data Splits
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The Crello dataset has 3 splits: train, validation, and test. The current split is generated
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| Split | Count |
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| --------- | ----- |
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| train |
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| validaton |
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| test |
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### Visualization
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### Releases
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3.1: bugfix release (Feb 16, 2023)
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- Fix a bug that ignores newline characters in some of the texts
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3.0: v3 release (Feb 13, 2023)
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The Crello dataset is compiled for the study of vector graphic documents. The dataset contains document meta-data such as canvas size and pre-rendered elements such as images or text boxes. The original templates were collected from [crello.com](https://crello.com) (now [create.vista.com](https://create.vista.com/)) and converted to a low-resolution format suitable for machine learning analysis.
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### Usage
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```python
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import datasets
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dataset = datasets.load_dataset("cyberagent/crello")
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```
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Old revision is available via `revision` option.
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```python
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import datasets
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dataset = datasets.load_dataset("cyberagent/crello", revision="3.1")
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```
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### Supported Tasks and Leaderboards
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[CanvasVAE](https://arxiv.org/abs/2108.01249) studies unsupervised document generation.
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**Canvas attributes**
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| Field | Type | Shape | Description |
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| ------------- | ----------- | ------- | ----------------------------------------------------------------- |
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| id | string | () | Template ID from crello.com |
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| group | categorical | () | Broad design groups, such as social media posts or blog headers |
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| format | categorical | () | Detailed design formats, such as Instagram post or postcard |
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| category | categorical | () | Topic category of the design, such as holiday celebration |
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| canvas_width | categorical | () | Canvas pixel width |
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| canvas_height | categorical | () | Canvas pixel height |
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| length | int64 | () | Length of elements |
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| suitability | categorical | (None,) | List of display tags, only `mobile` tag exists |
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| keywords | string | (None,) | List of keywords associated to this template |
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| industries | categorical | (None,) | List of industry tags like `marketingAds` |
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| preview | image | () | Preview image of the template for convenience; only for debugging |
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| cluster_index | int64 | () | Cluster index used to split the dataset; only for debugging |
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**Element attributes**
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### Data Splits
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The Crello dataset has 3 splits: train, validation, and test. The current split is generated based on appearance-based clustering.
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| Split | Count |
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| --------- | ----- |
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| train | 19095 |
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| validaton | 1951 |
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| test | 2375 |
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### Visualization
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### Releases
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4.0.0: v4 release (Dec 5, 2023)
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- Change the dataset split based on the template appearance to avoid near-duplicates: no compatibility with v3.
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- Class labels have been reordered: no compabilitity with v3.
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- Small improvement to font rendering.
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3.1: bugfix release (Feb 16, 2023)
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- Fix a bug that ignores newline characters in some of the texts.
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3.0: v3 release (Feb 13, 2023)
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