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feat: Adding a dataset card

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  1. README.md +34 -2
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@@ -28,8 +28,40 @@ dataset_info:
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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: 5113563.0
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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- # Dataset Card for "gender-by-name"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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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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+
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+ ## Dataset Information
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+
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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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+
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+ ## Has Missing Values?
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+ No
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+
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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)