Datasets:

ontocord
/

CulturaP

@@ -89,6 +89,7 @@ From the team that brought you [CulturaX](https://huggingface.co/datasets/uonlp/
 We have filtered to find websites with what we believe are government domain names, international organization domain names like the UN and europa.eu, and creative commons licensed data. While we strongly believe that fair use protects machine learning on webcrawled data in the United States, this may not be the case in other countries. Thus we hve created this filtered version.
 The column 'cc' will tell you if we detected the keywords associated with creative commons license in the header or footer of the data. We have not confirmed by hand the prescense of the keyword means the page is in fact CC licensed. Please confirm for yourself the type of license you wish to use (CC-BY, CC-BY-SA, CC-BY-NC, etc).
 ###  Notes
 We used .gov/ .gov.* .gouv.* and .int/, among other patterns in the URL filtering. This means that a URL like 'http://transcoder.usablenet.com/tt/www.ers.usda.gov/amber-waves/2006-november/new-phytosanitary-regulations-allow-higher-imports-of-avocados.aspx' will be a match. We believe that references to government URLs in a company's URL will likely mean the source is also governmental data. However, you may wish to confirm the URL field for strictly the type or URLs you wish to use (e.g., filter all .com data from the URLs).
@@ -116,9 +117,9 @@ TODO
 ### Dataset structure
-The dataset has a total of 7 columns, including:
-- 2 columns `text, url` will be the two main columns in this dataset.
 - the remaining columns `id, document_lang, scores, langs` belong to the original document in the HPLT V1.1 dataset, retained for debugging purposes. and will be removed in the future.
 Therefore, when using, please only utilize the two columns text and url.

 We have filtered to find websites with what we believe are government domain names, international organization domain names like the UN and europa.eu, and creative commons licensed data. While we strongly believe that fair use protects machine learning on webcrawled data in the United States, this may not be the case in other countries. Thus we hve created this filtered version.
 The column 'cc' will tell you if we detected the keywords associated with creative commons license in the header or footer of the data. We have not confirmed by hand the prescense of the keyword means the page is in fact CC licensed. Please confirm for yourself the type of license you wish to use (CC-BY, CC-BY-SA, CC-BY-NC, etc).
+There is also a column 'en_text' which is a short 200 character beginning of the text translate to English using Google translate.
 ###  Notes
 We used .gov/ .gov.* .gouv.* and .int/, among other patterns in the URL filtering. This means that a URL like 'http://transcoder.usablenet.com/tt/www.ers.usda.gov/amber-waves/2006-november/new-phytosanitary-regulations-allow-higher-imports-of-avocados.aspx' will be a match. We believe that references to government URLs in a company's URL will likely mean the source is also governmental data. However, you may wish to confirm the URL field for strictly the type or URLs you wish to use (e.g., filter all .com data from the URLs).
 ### Dataset structure
+The dataset has a total of 8 columns, including:
+- The columns `text, url, cc, en_text` will be the main columns in this dataset.
 - the remaining columns `id, document_lang, scores, langs` belong to the original document in the HPLT V1.1 dataset, retained for debugging purposes. and will be removed in the future.
 Therefore, when using, please only utilize the two columns text and url.