Datasets:
Update README.md
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README.md
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@@ -808,38 +808,41 @@ dataset.features[key].int2str(example[key])
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In the following, categorical fields are shown as `categorical` type, but the actual storage is `int64`.
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**
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| Field | Type | Shape
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| ------------- | ----------- |
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| id | string | ()
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| group | categorical | ()
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| format | categorical | ()
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| category | categorical | ()
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| canvas_width | categorical | ()
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| canvas_height | categorical | ()
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| length | int64 | ()
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Note that the color and pre-rendered images do not necessarily accurately reproduce the original design templates. The original template is accessible at the following URL if still available.
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import skia
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def render(
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"""Render parsed sequence example onto an image and return as PNG bytes."""
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canvas_width = int(
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canvas_height = int(
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scale = min(1.0, max_size / canvas_width, max_size / canvas_height)
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@@ -974,17 +977,18 @@ We do not re-distribute the original files as we are not allowed by terms.
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### Releases
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3.0: v3 release (Feb
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- Migrate to Hugging Face Hub.
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- Change split generation criteria: no compatibility with v2 splits.
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- Incorporate a motion picture thumbnail in templates.
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- Add `
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2.0: v2 release (May 26, 2022)
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- Add `text`, `font`, `font_size`, `text_align`, and `angle`
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- Include rendered text element in `image_bytes`.
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1.0: v1 release (Aug 24, 2021)
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In the following, categorical fields are shown as `categorical` type, but the actual storage is `int64`.
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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 group, such as social media posts or blog headers |
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| format | categorical | () | Detailed design format, 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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| Field | Type | Shape | Description |
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| -------------- | ----------- | --------- | -------------------------------------------------------------------- |
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| type | categorical | (None,) | Element type, such as vector shape, image, or text |
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| left | float32 | (None,) | Element left position normalized to [0, 1] range w.r.t. canvas_width |
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| top | float32 | (None,) | Element top position normalized to [0, 1] range w.r.t. canvas_height |
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| width | float32 | (None,) | Element width normalized to [0, 1] range w.r.t. canvas_width |
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| height | float32 | (None,) | Element height normalized to [0, 1] range w.r.t. canvas_height |
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| color | int64 | (None, 3) | Extracted main RGB color of the element |
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| opacity | float32 | (None,) | Opacity in [0, 1] range |
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| image_bytes | image | (None,) | Pre-rendered 256x256 preview of the element encoded in PNG format |
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| text | string | (None,) | Text content in UTF-8 encoding for text element |
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| font | categorical | (None,) | Font family name for text element |
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| font_size | float32 | (None,) | Font size (height) in pixels |
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| text_align | categorical | (None,) | Horizontal text alignment, left, center, right for text element |
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| angle | float32 | (None,) | Element rotation angle (radian) w.r.t. the center of the element |
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| capitalize | categorical | (None,) | Binary flag to capitalize letters |
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| line_height | float32 | (None,) | Scaling parameter to line height, default is 1.0 |
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| letter_spacing | float32 | (None,) | Adjustment parameter for letter spacing, default is 0.0 |
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Note that the color and pre-rendered images do not necessarily accurately reproduce the original design templates. The original template is accessible at the following URL if still available.
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import skia
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def render(features: datasets.Features, example: Dict[str, Any], max_size: float=512.) -> bytes:
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"""Render parsed sequence example onto an image and return as PNG bytes."""
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canvas_width = int(features["canvas_width"].int2str(example["canvas_width"]))
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canvas_height = int(features["canvas_height"].int2str(example["canvas_height"]))
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scale = min(1.0, max_size / canvas_width, max_size / canvas_height)
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### Releases
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3.0: v3 release (Feb 9, 2023)
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- Migrate to Hugging Face Hub.
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- Fix various text rendering bugs.
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- Change split generation criteria for avoiding near-duplicates: no compatibility with v2 splits.
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- Incorporate a motion picture thumbnail in templates.
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- Add `title`, `keywords`, `suitability`, and `industries` canvas attributes.
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- Add `capitalize`, `line_height`, and `letter_spacing` element attributes.
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2.0: v2 release (May 26, 2022)
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- Add `text`, `font`, `font_size`, `text_align`, and `angle` element attributes.
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- Include rendered text element in `image_bytes`.
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1.0: v1 release (Aug 24, 2021)
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