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.gitattributes CHANGED
@@ -56,3 +56,12 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ subdomains_2023_11.csv filter=lfs diff=lfs merge=lfs -text
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+ subdomains_2023_12.csv filter=lfs diff=lfs merge=lfs -text
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+ subdomains_2024_01.csv filter=lfs diff=lfs merge=lfs -text
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+ subdomains_2024_02.csv filter=lfs diff=lfs merge=lfs -text
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+ subdomains_2024_03.csv filter=lfs diff=lfs merge=lfs -text
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+ subdomains_2024_04.csv filter=lfs diff=lfs merge=lfs -text
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+ subdomains_2024_05.csv filter=lfs diff=lfs merge=lfs -text
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+ subdomains_2024_06.csv filter=lfs diff=lfs merge=lfs -text
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+ subdomains_2024_07.csv filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ annotations_creators:
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+ - machine-generated
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+ language:
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+ - en
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+ license:
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+ - cc0-1.0
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+ multilinguality:
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+ - multilingual
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+ pretty_name: Subdomain Statistics from scanner.ducks.party
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+ size_categories:
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+ - 100M<n<1B
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - other
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+ language_creators:
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+ - found
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+ ---
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+
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+ # Dataset Card for Subdomain Statistics from scanner.ducks.party
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+
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+ ### Dataset Summary
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+
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+ This dataset contains monthly archives of subdomain statistics for websites seen by the [scanner.ducks.party](https://scanner.ducks.party) web bot. The data is provided in CSV format, compressed using zstd, with each archive containing two columns: Subdomain and Count.
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+
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+ ### Languages
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+
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+ The dataset is primarily in English, with subdomains potentially in multiple languages.
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+
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+ ## Dataset Structure
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+
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+ ### Data Fields
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+
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+ - `Subdomain`: The subdomain name (string)
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+ - `Count`: The number of occurrences (integer)
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+
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+ ### Data Splits
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+
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+ Monthly archives are provided as separate files.
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+
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+ ## Additional Information
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+
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+ ### Source Data
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+
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+ The data is collected only from websites from which the bot received a response. This means that the data might not represent the entire internet, but rather a subset of it. The bot is located in Russia, and the data is affected by local network conditions and filtering.
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+
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+ ### Caveats and Recommendations
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+
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+ - The 'lawfilter' subdomain is used by censors and does not accurately reflect subdomain trends in the global internet.
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+ - Data collection is subject to local network conditions and filtering in Russia.
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+
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+ ### Monthly Statistics
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+
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+ - [November 2023](https://huggingface.co/datasets/nyuuzyou/subdomains/resolve/main/subdomains_2023_11.csv.zst) - Unique subdomains: 13,588,987 - Total count: 63,819,447
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+ - [December 2023](https://huggingface.co/datasets/nyuuzyou/subdomains/resolve/main/subdomains_2023_12.csv.zst) - Unique subdomains: 21,207,666 - Total count: 141,514,137
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+ - [January 2024](https://huggingface.co/datasets/nyuuzyou/subdomains/resolve/main/subdomains_2024_01.csv.zst) - Unique subdomains: 6,586,148 - Total count: 37,016,016
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+ - [February 2024](https://huggingface.co/datasets/nyuuzyou/subdomains/resolve/main/subdomains_2024_02.csv.zst) - Unique subdomains: 18,846,254 - Total count: 134,140,761
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+ - [March 2024](https://huggingface.co/datasets/nyuuzyou/subdomains/resolve/main/subdomains_2024_03.csv.zst) - Unique subdomains: 20,083,773 - Total count: 199,922,396
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+ - [April 2024](https://huggingface.co/datasets/nyuuzyou/subdomains/resolve/main/subdomains_2024_04.csv.zst) - Unique subdomains: 19,862,758 - Total count: 196,112,502
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+ - [May 2024](https://huggingface.co/datasets/nyuuzyou/subdomains/resolve/main/subdomains_2024_05.csv.zst) - Unique subdomains: 20,805,517 - Total count: 207,351,437
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+ - [June 2024](https://huggingface.co/datasets/nyuuzyou/subdomains/resolve/main/subdomains_2024_06.csv.zst) - Unique subdomains: 17,607,353 - Total count: 140,782,717
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+ - [July 2024](https://huggingface.co/datasets/nyuuzyou/subdomains/resolve/main/subdomains_2024_07.csv.zst) - Unique subdomains: 20,146,823 - Total count: 228,186,769
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+
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+ ### License
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+
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+ This dataset is dedicated to the public domain under the Creative Commons Zero (CC0) license. This means you can:
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+
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+ * Use it for any purpose, including commercial projects.
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+ * Modify it however you like.
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+ * Distribute it without asking permission.
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+
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+ No attribution is required, but it's always appreciated!
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+
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+ CC0 license: https://creativecommons.org/publicdomain/zero/1.0/deed.en
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+
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+ To learn more about CC0, visit the Creative Commons website: https://creativecommons.org/publicdomain/zero/1.0/
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+
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+ ### Dataset Curators
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+
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+ - [nyuuzyou](https://ducks.party)
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