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v4.0.0 release notes

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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 such that the same title of the original template shows up in only in one split.
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  | Split | Count |
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  | --------- | ----- |
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- | train | 18659 |
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- | validaton | 2391 |
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- | test | 2371 |
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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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+
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+ ```python
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+ import datasets
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+
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+ dataset = datasets.load_dataset("cyberagent/crello")
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+ ```
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+
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+ Old revision is available via `revision` option.
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+
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+ ```python
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+ import datasets
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+
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+ dataset = datasets.load_dataset("cyberagent/crello", revision="3.1")
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+ ```
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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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+
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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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+
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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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