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The Abacus Data Network is a data repository collaboration involving Libraries at Simon Fraser University (SFU), the University of British Columbia (UBC), the University of Northern British Columbia (UNBC) and the University of Victoria (UVic).
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1 to 50 of 62,894 Results
Aug 19, 2025 - Linguistic Data Consortium
Tracey, Jennifer; Strassel, Stephanie; Graff, David; Wright, Jonathan; Chen, Song; Ryant, Neville; Kulick, Seth; Delgado, Dana; Arrigo, Michael, 2025, "LoReHLT Uzbek Representative Language Pack", https://hdl.handle.net/11272.1/AB2/VM5TBL, Abacus Data Network, V1
Abstract Introduction LoReHLT Uzbek Representative Language Pack consists of Uzbek monolingual text, Uzbek-English parallel text, annotations, audio recordings, supplemental resources and related software tools developed by the Linguistic Data Consortium for LoReHLT, a companion...
Plain Text - 33.9 KB - MD5: 22cae8add1bcb9e81daeba53162d3e2e
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File manifest for disc 1
Optical Disc Image - 686.4 MB - MD5: dd4b50034c9cc92a62846ee8d8e6d008
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ISO disc image containing all documentation and data: disc 1
Plain Text - 2.0 MB - MD5: 083e7f5a9ee8632a5e811d96885af8e3
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File manifest for disc 2
Optical Disc Image - 681.0 MB - MD5: 56ba066b8af764c241a1efee1cb6443a
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ISO disc image containing all documentation and data: disc 2
Plain Text - 119.4 KB - MD5: e0cbcb1a6e63cfddd938244b902e73ae
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File manifest for disc 3
Optical Disc Image - 555.7 MB - MD5: 24899b86bd1140a1951970e3c5b53034
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ISO disc image containing all documentation and data: disc 3
Plain Text - 255 B - MD5: 827743ee6dc05bb7b5755b9c1487f13c
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File manifest for disc 4
Optical Disc Image - 639.5 MB - MD5: fb1d2f5b04b311f74fa46b634766ce6e
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ISO disc image containing all documentation and data: disc 4
Plain Text - 1.3 KB - MD5: 4d4231d07ac669e105f71e602457efea
Documentation
Working with ISO disc images
Aug 18, 2025 - Linguistic Data Consortium
Peng, Weiming; Zhao, Min; He, Jing; Song, Yuchen; Song, Tianbao; Guo, Dongdong; Sun, Jingbo; Zhu, Shuqin; Zhang, Yinbin; Wei, Zuntian; Hu, Jiajia; Song, Jihua; Sui, Zhifang; Wang, Ning, 2025, "Chinese Sentence Pattern Structure Treebank", https://hdl.handle.net/11272.1/AB2/QZUMNU, Abacus Data Network, V1
Abstract Introduction Chinese Sentence Pattern Structure Treebank (the SPS Treebank) was developed at Beijing Normal University and Peking University. It contains 5,016 sentences and 119,627 tokens syntactically annotated following the concept of sentence constituent analysis whi...
Plain Text - 1.6 KB - MD5: 34fde916fb009bc0080f31950cc6a1ab
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File manifest
Optical Disc Image - 10.7 MB - MD5: 75ff54d8b4da1d95c5c34ebd93608f85
Data
ISO disc image containing all documentation and data
Plain Text - 1.3 KB - MD5: 4d4231d07ac669e105f71e602457efea
Documentation
Working with ISO disc images
Aug 18, 2025 - Linguistic Data Consortium
Tracey, Jennifer; Chen, Song; Delgado, Dana; Strassel, Stephanie, 2025, "BOLT CTS CALLFRIEND CALLHOME Mainland Mandarin Chinese Transcripts and Translations", https://hdl.handle.net/11272.1/AB2/LGXOHL, Abacus Data Network, V1
Abstract Introduction BOLT CTS CALLFRIEND CALLHOME Mainland Mandarin Chinese Transcripts and Translations was developed by the Linguistic Data Consortium (LDC) and consists of transcripts and their corresponding English translations for 93 hours of conversational telephone speech...
Plain Text - 33.2 KB - MD5: dd94244699a05159b3c99f59b75cfd5f
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File manifest
Optical Disc Image - 41.4 MB - MD5: e6c63e89b5f7d71916fa325bb65c554d
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ISO disc image containing all documentation and data
Plain Text - 1.3 KB - MD5: 4d4231d07ac669e105f71e602457efea
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Working with ISO disc images
Aug 14, 2025 - Linguistic Data Consortium
Arrigo, Michael; Delgado, Dana; Strassel, Stephanie; Graff, David, 2025, "IWSLT 2022-2023 Shared Task Training, Development and Test Set", https://hdl.handle.net/11272.1/AB2/ONUJ54, Abacus Data Network, V1
Abstract Introduction IWSLT 2022 - 2023 Shared Task Training, Development and Test Set was developed by the Linguistic Data Consortium (LDC). It contains 210 hours of Tunisian Arabic conversational telephone speech, transcripts and their English translations covering 175 hours of...
Plain Text - 218.8 KB - MD5: 0d75f120af3b88f1180df5f2dfe6346c
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File manifest for disc 1
Optical Disc Image - 4.3 GB - MD5: ad7314c945f61b989c11b9ac6697b6ac
Data
ISO disc image containing all documentation and data: disc 1
Plain Text - 204.8 KB - MD5: 4feb59006445543997ee5a3450f62a62
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File manifest for disc 2
Optical Disc Image - 3.3 GB - MD5: 823f98962b928ebcff977225a0f33fc0
Data
ISO disc image containing all documentation and data: disc 2
Plain Text - 1.3 KB - MD5: 4d4231d07ac669e105f71e602457efea
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Working with ISO disc images
Aug 14, 2025 - Linguistic Data Consortium
Cieri, Christopher; Fiumara, James; Walker, Kevin; Liberman, Mark; Ryant, Neville, 2025, "AnnoDIFP Session Audio and Transcripts", https://hdl.handle.net/11272.1/AB2/OGBCJ9, Abacus Data Network, V1
Abstract Introduction AnnoDIFP (Annotated Data for the Investigation of Facets of Personality) Session Audio and Transcripts was developed by the Linguistic Data Consortium (LDC), the Florida Institute of Technology (FIT), and the University of New Haven (UNH) to support algorith...
Plain Text - 159.7 KB - MD5: a0fb25c92d6550897ecf4973c9d2eabb
Documentation
File manifest
Markdown Text - 3.1 KB - MD5: 891064c78a8e46a2f9922b793aafa160
Documentation
Instructions on how to access LDC data via UBC's Teamshare service (Markdown / ASCII text)
Adobe PDF - 31.2 KB - MD5: 2a043207829f9ab259df770590941165
Documentation
Instructions on how to access LDC data via UBC's Teamshare service
Aug 14, 2025 - Linguistic Data Consortium
Tracey, Jennifer; Graff, David; Chen, Song; Strassel, Stephanie, 2025, "BOLT CTS CALLFRIEND CALLHOME Mainland Mandarin Chinese Audio", https://hdl.handle.net/11272.1/AB2/1BGPSO, Abacus Data Network, V1
Abstract Introduction BOLT CTS CALLFRIEND CALLHOME Mainland Mandarin Chinese Audio was developed by the Linguistic Data Consortium (LDC) and consists of approximately 93 hours of speech from 236 unscripted telephone conversations between native speakers of the Mandarin Chinese di...
Plain Text - 9.6 KB - MD5: e0fa130b05b8ef250a2acd001a272d26
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File manifest
Optical Disc Image - 3.9 GB - MD5: 6504896b88df7c7b8d1eaa09c8761f24
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ISO disc image containing all documentation and data
Plain Text - 1.3 KB - MD5: 4d4231d07ac669e105f71e602457efea
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Working with ISO disc images
Aug 12, 2025 - Statistics Canada Open License
Statistics Canada, 2025, "Employment Insurance Coverage Survey, 2023", https://hdl.handle.net/11272.1/AB2/FLKRTO, Abacus Data Network, V2, UNF:6:dcv4U0pXXHne8cfLxJ9jTw== [fileUNF]
The main purpose of this survey is to study the coverage of the Employment Insurance (EI) program. It provides a meaningful picture of who does or does not have access to EI benefits among the jobless and those in a situation of underemployment. The Employment Insurance Coverage...
Plain Text - 1.2 KB - MD5: 540552d21bc20eec8f78f8d567d48940
Documentation
Addendum 08-2025
Plain Text - 8.9 KB - MD5: c6c588da023cc239687d02ffe121a40c
Documentation
File manifest for unzipped files (UBC, 2025-08)
Adobe PDF - 1.4 MB - MD5: b271d3eac1113c442a11d82ea1c1ed00
Documentation
Codebook without frequencies
Adobe PDF - 1.4 MB - MD5: 5423132f900f883e49b592279654d40b
Documentation
Codebook with frequencies and weighted frequencies
Aug 12, 2025 - Statistics Canada Open License
Statistics Canada, 2025, "Employment Insurance Coverage Survey, 2022", https://hdl.handle.net/11272.1/AB2/U6FZJ3, Abacus Data Network, V2, UNF:6:/Hu6BVoG4aaK6kJQd857Sw== [fileUNF]
The main purpose of this survey is to study the coverage of the Employment Insurance (EI) program. It provides a meaningful picture of who does or does not have access to EI benefits among the jobless and those in a situation of underemployment. The Employment Insurance Coverage...
Plain Text - 1.2 KB - MD5: 540552d21bc20eec8f78f8d567d48940
Documentation
Addendum 08-2025
Plain Text - 8.9 KB - MD5: 758821dd788568499a6eb614b5bfde97
Documentation
File manifest for unzipped files (UBC, 2025-08)
Adobe PDF - 1.4 MB - MD5: c05d0a4a149062a45c91b20c7abb327c
Documentation
Codebook
Aug 12, 2025 - Statistics Canada Open License
Statistics Canada, 2023, "Employment Insurance Coverage Survey, 2021", https://hdl.handle.net/11272.1/AB2/WWP8H2, Abacus Data Network, V2, UNF:6:QUEzj6HFqsjnX706WrMLdQ== [fileUNF]
The main purpose of this survey is to study the coverage of the Employment Insurance (EI) program. It provides a meaningful picture of who does or does not have access to EI benefits among the jobless and those in a situation of underemployment. The Employment Insurance Coverage...
Plain Text - 1.2 KB - MD5: 540552d21bc20eec8f78f8d567d48940
Documentation
Addendum 08-2025
Plain Text - 8.7 KB - MD5: 430202d6fa340f31689f0ab939a06372
Documentation
File manifest
Adobe PDF - 1.4 MB - MD5: 886e86a5ff8cabdbae145c31d432cfd8
Documentation
Codebook
Aug 12, 2025 - Statistics Canada Open License
Statistics Canada, 2022, "Employment Insurance Coverage Survey, 2020", https://hdl.handle.net/11272.1/AB2/LF2BKH, Abacus Data Network, V2, UNF:6:1q/eU7NVveuDj0AiCq+YMw== [fileUNF]
The main purpose of this survey is to study the coverage of the Employment Insurance (EI) program. It provides a meaningful picture of who does or does not have access to EI benefits among the jobless and those in a situation of underemployment. The Employment Insurance Coverage...
Plain Text - 1.2 KB - MD5: 540552d21bc20eec8f78f8d567d48940
Documentation
Addendum 08-2025
Adobe PDF - 1.3 MB - MD5: 49fb62edae991c15ab942122373ae18d
Documentation
Codebook
Aug 8, 2025 - Statistics Canada Open License
Statistics Canada, 2025, "Labour Force Survey, 2025", https://hdl.handle.net/11272.1/AB2/CRDZJ0, Abacus Data Network, V7, UNF:6:iWcMmmLjSykPEIvz1RPWFw== [fileUNF]
LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and...
Tabular Data - 11.3 MB - 60 Variables, 114155 Observations - UNF:6:DsQgIS2QnJw8dZ2KSYuiiA==
DataJulySPSS
July 2025 data (subsettable) (original SPSS.sav)
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