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Datasets:
uzw
/
us_ssa_gender_neutral_first_names

Tasks:
Text Classification
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
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@@ -14,11 +14,15 @@ Name-based gender prediction has traditionally categorized individuals as either
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  In this US SSA dataset, we randomly selected 300 names per gender for each year from 1914 to 2022 from the [US SSA public dataset](https://www.ssa.gov/oact/babynames/limits.html).
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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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  ## Citation
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  Please cite the below paper if you intent to use our data for your research:
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  In this US SSA dataset, we randomly selected 300 names per gender for each year from 1914 to 2022 from the [US SSA public dataset](https://www.ssa.gov/oact/babynames/limits.html).
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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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  ## Citation
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  Please cite the below paper if you intent to use our data for your research:
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