add all fields
Browse files
README.md
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@@ -81,28 +81,7 @@ You can also access the features that generated each sample e.g:
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ds = datasets.load_dataset("cgarciae/cartoonset", "10k+features") # or "100k+features"
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```
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Apart from `img_bytes` these configurations add a total of 18 * 2 additional `int` features, these come in `{feature}`, `{feature}_num_categories` pairs where `num_categories` indicates the number of categories for that feature
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```
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eye_angle, eye_angle_num_categories
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eye_lashes, eye_lashes_num_categories
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eye_lid, eye_lid_num_categories
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chin_length, chin_length_num_categories
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eyebrow_weight, eyebrow_weight_num_categories
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eyebrow_shape, eyebrow_shape_num_categories
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eyebrow_thickness, eyebrow_thickness_num_categories
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face_shape, face_shape_num_categories
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facial_hair, facial_hair_num_categories
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hair, hair_num_categories
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eye_color, eye_color_num_categories
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face_color, face_color_num_categories
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hair_color, hair_color_num_categories
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glasses, glasses_num_categories
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glasses_color, glasses_color_num_categories
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eye_slant, eye_slant_num_categories
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eyebrow_width, eyebrow_width_num_categories
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eye_eyebrow_distance, eye_eyebrow_distance_num_categories
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```
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## Dataset Structure
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### Data Instances
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```
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### Data Fields
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- `img_bytes`: A byte string containing the raw data of a 500x500 PNG image.
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### Data Splits
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Train
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## Dataset Creation
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ds = datasets.load_dataset("cgarciae/cartoonset", "10k+features") # or "100k+features"
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```
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Apart from `img_bytes` these configurations add a total of 18 * 2 additional `int` features, these come in `{feature}`, `{feature}_num_categories` pairs where `num_categories` indicates the number of categories for that feature. See [Data Fields](#data-fields) for the complete list of features.
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## Dataset Structure
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### Data Instances
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```
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### Data Fields
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- `img_bytes`: A byte string containing the raw data of a 500x500 PNG image.
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If `+features` is appended to the dataset name, the following additional fields are also available:
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- `eye_angle`, `eye_angle_num_categories`
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- `eye_lashes`, `eye_lashes_num_categories`
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- `eye_lid`, `eye_lid_num_categories`
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- `chin_length`, `chin_length_num_categories`
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- `eyebrow_weight`, `eyebrow_weight_num_categories`
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- `eyebrow_shape`, `eyebrow_shape_num_categories`
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- `eyebrow_thickness`, `eyebrow_thickness_num_categories`
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- `face_shape`, `face_shape_num_categories`
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- `facial_hair`, `facial_hair_num_categories`
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- `facial_hair_num_categories`, `facial_hair_num_categories`
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- `hair`, `hair_num_categories`
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- `hair_num_categories`, `hair_num_categories`
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- `eye_color`, `eye_color_num_categories`
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- `face_color`, `face_color_num_categories`
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- `hair_color`, `hair_color_num_categories`
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- `glasses`, `glasses_num_categories`
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- `glasses_color`, `glasses_color_num_categories`
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- `eyes_slant`, `eye_slant_num_categories`
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- `eyebrow_width`, `eyebrow_width_num_categories`
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- `eye_eyebrow_distance`, `eye_eyebrow_distance_num_categories`
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### Data Splits
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Train
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## Dataset Creation
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