41 to 50 of 493 Results
Unknown - 2.0 GB -
MD5: bf829ec77f73d57e9ce073b216135729
|
Unknown - 1.3 GB -
MD5: 36f9239c9a5ec3a58ae540e8045beea7
|
Gzip Archive - 309.2 MB -
MD5: 800846430f962e4c501b9ebc38ca72df
|
Tabular Data - 7.0 MB - 1 Variables, 179797 Observations - UNF:6:QDjFCPMzxIXpoNWCI+1eNQ==
|
Apr 28, 2023
Sood, Gaurav; Chintalapati, Rajashekar, 2022, "Piedomains: Predict the kind of content hosted by a domain using domain name and homepage text", https://doi.org/10.7910/DVN/YHWCDC, Harvard Dataverse, V5
Piedomains: Predict the kind of content hosted by a domain using domain name and homepage text. See: https://github.com/themains/piedomains |
Apr 28, 2023 -
Piedomains: Predict the kind of content hosted by a domain using domain name and homepage text
Gzip Archive - 365.2 MB -
MD5: b9a930716f81c4c6c861e7b01d5a38d6
this models have 39 classes. |
Jan 28, 2023 -
Piedomains: Predict the kind of content hosted by a domain using domain name and homepage text
Gzip Archive - 170.4 MB -
MD5: aaa9c255d24bfefeaa190caba26fd0ac
Version 4 has both text and cv models. |
Dec 14, 2022
Sood, Gaurav; Laohaprapanon, Suriyan; Sanjeevi, Madhu; Tran, Khanh, 2018, "Parsed Indian Electoral Rolls", https://doi.org/10.7910/DVN/MUEGDT, Harvard Dataverse, V25, UNF:6:Jul7B4cP7aiLbKdAC1sM5g== [fileUNF]
For getting the pdfs of electoral rolls, see https://github.com/in-rolls/electoral_rolls. For scripts used to parse the electoral rolls, see https://github.com/in-rolls/parse_elex_rolls If you would like access to the electoral rolls, please fill out the following form. You will need to also get IRB approval from your respective university or insti... |
Dec 14, 2022 -
Parsed Indian Electoral Rolls
Gzip Archive - 618.8 MB -
MD5: ccabfe7848cc312930570893b0d2d48a
|
Unknown - 2.0 GB -
MD5: 613ff8a2ffd75bd665b386e4438c75c4
|