gender-by-name / README.md
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metadata
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
dataset_info:
  features:
    - name: Name
      dtype: string
    - name: Gender
      dtype:
        class_label:
          names:
            '0': F
            '1': M
    - name: Count
      dtype: int64
    - name: Probability
      dtype: float64
  splits:
    - name: train
      num_bytes: 4090843.4554794286
      num_examples: 117815
    - name: test
      num_bytes: 1022719.5445205712
      num_examples: 29454
  download_size: 2497614
  dataset_size: 5113563
license: cc-by-4.0
task_categories:
  - text-classification
language:
  - en
  - pt
tags:
  - gender_by_name
  - social_science
  - uci
pretty_name: Gender by Name
size_categories:
  - 100K<n<1M

Dataset Card for "Gender-by-Name"

This dataset attributes first names to genders, giving counts and probabilities. It combines open-source government data from the US, UK, Canada, and Australia. The dataset is taken from UCI Machine Learning Repository

Dataset Information

This dataset combines raw counts for first/given names of male and female babies in those time periods, and then calculates a probability for a name given the aggregate count. Source datasets are from government authorities: -US: Baby Names from Social Security Card Applications - National Data, 1880 to 2019 -UK: Baby names in England and Wales Statistical bulletins, 2011 to 2018 -Canada: British Columbia 100 Years of Popular Baby names, 1918 to 2018 -Australia: Popular Baby Names, Attorney-General's Department, 1944 to 2019

Has Missing Values?

No

Variable Information

Name: String Gender: 0/1 (female/male), Count: Integer Probability: Float

More Information needed