351 to 400 of 62,766 Results
Apr 3, 2025 -
LORELEI Hungarian Representative Language Pack
Optical Disc Image - 4.2 GB -
MD5: 557498e2f274d6f53853f434eb9018fe
ISO disc image containing all documentation and data: disc 2 |
Apr 3, 2025 -
LORELEI Hungarian Representative Language Pack
Plain Text - 9.1 KB -
MD5: 5a70d0b26b2ee9a4bf5358a49aab9618
File manifest for disc 1 |
Apr 3, 2025 -
LORELEI Hungarian Representative Language Pack
Plain Text - 2.7 KB -
MD5: ca6e249ba8435f664c237c7de1202f95
File manifest for disc 3 |
Apr 3, 2025 -
LORELEI Hungarian Representative Language Pack
Plain Text - 931 B -
MD5: 69ed20efabf74ddaa3a60c67b23aa9c2
File manifest for disc 2 |
Apr 3, 2025 -
LORELEI Hungarian Representative Language Pack
Optical Disc Image - 3.3 GB -
MD5: a53f5725ab5bf1f8e69cfd499e53ee9a
ISO disc image containing all documentation and data: disc 4 |
Apr 3, 2025 -
LORELEI Hungarian Representative Language Pack
Plain Text - 1.3 KB -
MD5: 4d4231d07ac669e105f71e602457efea
Working with ISO disc images |
Apr 3, 2025 -
LORELEI Hungarian Representative Language Pack
Plain Text - 9.1 KB -
MD5: 5a70d0b26b2ee9a4bf5358a49aab9618
File manifest for disc 4 |
Apr 3, 2025 - Linguistic Data Consortium
Vanroy, Bram, 2025, "Abstract Meaning Representation 3.0 - Machine Translations", https://hdl.handle.net/11272.1/AB2/TKRDFD, Abacus Data Network, V1
Abstract Introduction Abstract Meaning Representation 3.0 - Machine Translations was developed by the Center for Computational Linguistics at KU Leuven in the HORIZON2020 project SignON. It is an automatic translation of a subset of sentences from Abstract Meaning Representation... |
Plain Text - 1.3 KB -
MD5: 4d4231d07ac669e105f71e602457efea
Working with ISO disc images |
Optical Disc Image - 138.1 MB -
MD5: 808c0ea3fd032deddc567b7b5db8ce48
ISO disc image containing all documentation and data |
Plain Text - 6.1 KB -
MD5: 60655c1a9b133e7fe1e1a6ec07dc3116
File manifest |
Apr 3, 2025 - Linguistic Data Consortium
Tracey, Jennifer; Strassel, Stephanie; Getman, Jeremy; Bies, Ann; Griffitt, Kira; Graff, David; Caruso, Christopher, 2025, "AIDA Scenario 3 Practice Topic Source Data and Annotation", https://hdl.handle.net/11272.1/AB2/KAFV5Q, Abacus Data Network, V1
Abstract Introduction AIDA Scenario 3 Practice Topic Source Data and Annotation was developed by the Linguistic Data Consortium (LDC) and is comprised of English, Russian and Spanish web documents (text, video, image) and annotations. The DARPA AIDA (Active Interpretation of Disp... |
Optical Disc Image - 1.4 GB -
MD5: f03f3a4db3433e4b7021abe6121eeeee
ISO disc image containing all documentation and data |
Plain Text - 1.3 KB -
MD5: 4d4231d07ac669e105f71e602457efea
Working with ISO disc images |
Plain Text - 6.2 KB -
MD5: 2f3261430557b99ed8a12573d86338be
File manifest |
Apr 1, 2025 - Statistics Canada Open License
Statistics Canada, 2025, "General Social Survey: Time Use, 2022", https://hdl.handle.net/11272.1/AB2/UBP7LZ, Abacus Data Network, V2, UNF:6:hIIrHrx2xz+8Ad5nP8o1EA== [fileUNF]
This survey monitors changes in time use to better understand how Canadians spend and manage their time and what contributes to their well-being and stress. The data collected provides information to all levels of government when making funding decisions, developing priorities an... |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Unknown - 30.2 MB -
MD5: af2155550ec01fa7ce4e8fa572282c16
Episode file in plain text flat ASCII format |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Unknown - 36.9 MB -
MD5: 79a8d5ceb30d04855a848526678591dd
Episode file in SAS .sas7bdat format |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Unknown - 22.4 KB -
MD5: 728ab5a35298158c388db932ea9db6ab
SAS program for episode file |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Unknown - 49.0 MB -
MD5: 9d22875e73a54dd09384723360d7fa6d
Episode file in SPSS .sav format |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Unknown - 10.6 KB -
MD5: 12657fa1871099888ee73b788aa9b6b8
SPSS syntax for episode file |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Unknown - 10.3 KB -
MD5: 5add156da01625c454c92b0fd407024d
Stata commands for episode file |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Unknown - 33.4 MB -
MD5: 33acdc525d68fefb6dd4e45c68c98bce
Episode file in Stata .dta format |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Unknown - 21.9 MB -
MD5: 72902271852e55bd748347b3e0956f6a
Main file in plain text flat ASCII format |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Unknown - 24.3 MB -
MD5: bc5c02323c039d894f6562cb64dc6016
Main file in SAS .sas7bdat format |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Unknown - 47.6 KB -
MD5: a289cee3570994abe967f5d63527efb9
SAS program for main file |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Unknown - 22.6 MB -
MD5: 390c1c95f37db7c1609aa0ecf05393aa
Main file in SPSS .sav format |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Unknown - 24.3 KB -
MD5: 89e10228f64f0ca1e1c304fd8f167e6f
SPSS syntax for main file |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Unknown - 26.2 KB -
MD5: 9a4e5c857d25f7974571ee8992c76e7a
Stata commands for main file |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Unknown - 23.5 MB -
MD5: 3e9c29bffe4ed5672a8c8d48fc3dcf24
Main file in Stata .dta format |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Plain Text - 9.2 KB -
MD5: 1328f39a021cc831fbb09b6a0e33a3b9
File manifest for unzipped files (UBC, 2025-03) |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Tabular Data - 558.8 MB - 526 Variables, 168078 Observations - UNF:6:vqyHQxZpC8obUPyJDhgHGQ==
Episode file (subsettable) (original SPSS .sav) |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Tabular Data - 51.9 MB - 968 Variables, 12336 Observations - UNF:6:vVQSN0B+NSVSgNeWPBmMXw==
Main file (subsettable) (original SPSS .sav) |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Plain Text - 1.2 KB -
MD5: 062006510c9e3740b37843378bd66027
Errata: 2024-03 |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Adobe PDF - 1.3 MB -
MD5: 5486323f408de8b72636450d34736648
Codebook for episode file |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Adobe PDF - 1.9 MB -
MD5: 67154f4f6e7d9b55b599b8358d208b5c
Codebook for main file |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Adobe PDF - 1.2 MB -
MD5: 335481df039e56b5bbb2ab32af744b6c
User guide |
Apr 1, 2025 -
General Social Survey: Time Use, 2022
Adobe PDF - 1.5 MB -
MD5: 02981f9917bf8d4ebeb620c6ad9e1d37
Questionnaire |
Apr 1, 2025 - Linguistic Data Consortium
Linguistic Data Consortium; Appen Pty Ltd., 2025, "ASpIRE Development and Development Test Sets", https://hdl.handle.net/11272.1/AB2/YS9IIX, Abacus Data Network, V1
Abstract Introduction ASpIRE Development and Development Test Sets was developed for the Automatic Speech recognition In Reverberant Environments (ASpIRE) Challenge sponsored by IARPA (the Intelligent Advanced Research Projects Activity). It contains approximately 226 hours of En... |
Apr 1, 2025 -
ASpIRE Development and Development Test Sets
Plain Text - 1.3 KB -
MD5: 4d4231d07ac669e105f71e602457efea
Working with ISO disc images |
Apr 1, 2025 -
ASpIRE Development and Development Test Sets
Optical Disc Image - 24.4 GB -
MD5: fca9878ab5c9d98464e1bd6bec0d5435
ISO disc image containing all documentation and data |
Apr 1, 2025 -
ASpIRE Development and Development Test Sets
Plain Text - 98.4 KB -
MD5: b9de63006195b1b5641856ddb213cb62
File manifest |
Mar 28, 2025 - Linguistic Data Consortium
Asatiani, Sandro; Bills, Aric; Brunckhorst, Rachael; Chouder, Sarra; Corey, Cassian; Dubinski, Eyal; Ellis, Corinna; Gibby, Paul; Kalkhitashvili, Tamar; Kazi, Michael; Tong, Audrey; Lam, Julie; Le, Hanh; Malyska, Nicolas; Marcucci, Giorgia; Marvi, Sarah; McConnell, Sara; Melot, Jennifer; Mensch, Alyssa; Morrison, Michelle; Paget, Shelley; Richardson, Frederick; Roberts, Annette; Rubino, Carl; Samushia, Lela, 2025, "MATERIAL Georgian-English Language Pack", https://hdl.handle.net/11272.1/AB2/H5DHYO, Abacus Data Network, V1
Abstract Introduction MATERIAL Georgian-English Language Pack was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) MATERIAL (Machine Translation for English Retrieval of Information in Any Language) program. It contains approximately 79 hours of... |
Mar 28, 2025 -
MATERIAL Georgian-English Language Pack
Plain Text - 1.3 KB -
MD5: 4d4231d07ac669e105f71e602457efea
Working with ISO disc images |
Mar 28, 2025 -
MATERIAL Georgian-English Language Pack
Optical Disc Image - 7.3 GB -
MD5: 55a96021cfe613fd7ac9b749559b34ff
ISO disc image containing all documentation and data |
Mar 28, 2025 -
MATERIAL Georgian-English Language Pack
Plain Text - 179.5 KB -
MD5: a7c4c0a94b82c01e519fa1d2bcb3c6ce
File manifest |
Mar 28, 2025 - Linguistic Data Consortium
Bills, Aric; Chouder, Sarra; Corey, Cassian; Davoodian, Marjan; Dubinski, Eyal; Ellis, Corinna; Farnam, Reza; Gibby, Paul; Hartwig, Luke; Kalnins, Dagmara; Kazi, Michael; Lam, Julie; Le, Hanh; Malyska, Nicolas; Marvi, Sarah; McConnell, Sara; Melot, Jennifer; Mensch, Alyssa; Moore, Alex; Morrison, Michelle; Paget, Shelley; Richardson, Frederick; Roberts, Annette; Rubino, Carl; Moaddel, Marjan Sadeghi, 2025, "MATERIAL Farsi-English Language Pack", https://hdl.handle.net/11272.1/AB2/WLFTJ6, Abacus Data Network, V1
Abstract Introduction MATERIAL Farsi-English Language Pack was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) MATERIAL (Machine Translation for English Retrieval of Information in Any Language) program. It contains approximately 61 hours of Fa... |
Mar 28, 2025 -
MATERIAL Farsi-English Language Pack
Plain Text - 1.3 KB -
MD5: 4d4231d07ac669e105f71e602457efea
Working with ISO disc images |
Mar 28, 2025 -
MATERIAL Farsi-English Language Pack
Optical Disc Image - 3.3 GB -
MD5: b8e8336243ace95d41c46f3c35e5b547
ISO disc image containing all documentation and data |
Mar 28, 2025 -
MATERIAL Farsi-English Language Pack
Plain Text - 205.6 KB -
MD5: b4378d6ad3042377216dfa2ff2452655
File manifest |