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@@ -12,6 +12,9 @@ Name-based gender prediction has traditionally categorized individuals as either
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  In this [Canada SSA dataset](https://ouvert.canada.ca/data/dataset), gender-neutral names were rare before 2000 (less than five first names per year) but increased in recent years (after 2010), we sampled 273 names per gender for each year from 2013 to 2020.
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  ## Dataset Statistics
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  We split the dataset into train/val/test sets. We keep all three genders (male/female/neutral) balanced across all three sets. Please see below and the paper for more details of our curated datasets:
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/632d21bb930d186432dfddea/yPj_hTM50u2KY-ZmqDBnn.png)
 
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  In this [Canada SSA dataset](https://ouvert.canada.ca/data/dataset), gender-neutral names were rare before 2000 (less than five first names per year) but increased in recent years (after 2010), we sampled 273 names per gender for each year from 2013 to 2020.
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+ > For Dynamic Gender Labe Dataset, please visit this [page](https://huggingface.co/datasets/uzw/dynamic_gender_label_dataset).
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  ## Dataset Statistics
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  We split the dataset into train/val/test sets. We keep all three genders (male/female/neutral) balanced across all three sets. Please see below and the paper for more details of our curated datasets:
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/632d21bb930d186432dfddea/yPj_hTM50u2KY-ZmqDBnn.png)
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