Datasets:
erickrribeiro
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feat: Adding a dataset card
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README.md
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num_bytes: 1022719.5445205712
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num_examples: 29454
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download_size: 2497614
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dataset_size: 5113563
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---
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# Dataset Card for "
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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num_bytes: 1022719.5445205712
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num_examples: 29454
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download_size: 2497614
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dataset_size: 5113563
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license: cc-by-4.0
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task_categories:
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- text-classification
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language:
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- en
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- pt
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tags:
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- gender_by_name
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- social_science
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- uci
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pretty_name: Gender by Name
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size_categories:
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- 100K<n<1M
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---
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# Dataset Card for "Gender-by-Name"
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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](https://archive.ics.uci.edu/dataset/591/gender+by+name)
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## Dataset Information
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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:
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-US: Baby Names from Social Security Card Applications - National Data, 1880 to 2019
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-UK: Baby names in England and Wales Statistical bulletins, 2011 to 2018
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-Canada: British Columbia 100 Years of Popular Baby names, 1918 to 2018
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-Australia: Popular Baby Names, Attorney-General's Department, 1944 to 2019
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## Has Missing Values?
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No
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## Variable Information
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Name: String
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Gender: 0/1 (female/male),
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Count: Integer
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Probability: Float
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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