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Licence: Creative Commons - Attribution 4.0 International (CC BY 4.0)
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- Název
- oagkx.zip
- Velikost
- 8.51 GB
- Formát
- application/zip
- Popis
- data
- MD5
- 8a6475ea0d5a38c7aff97a0f5260df20
- oagkx
- part_11_0.txt11 MB
- part_3_1.txt1 GB
- part_0_1.txt900 MB
- part_13_0.txt69 MB
- part_10_0.txt873 MB
- part_2_1.txt1 GB
- part_12_0.txt11 MB
- part_5_1.txt877 MB
- part_1_1.txt867 MB
- part_14_0.txt1 GB
- part_7_1.txt120 MB
- part_4_1.txt1 GB
- part_9_1.txt867 MB
- part_6_1.txt1 GB
- part_8_1.txt541 MB
- part_0_0.txt752 MB
- part_3_0.txt1 GB
- part_5_0.txt1 GB
- part_2_0.txt1 GB
- part_7_0.txt1 GB
- part_4_0.txt1 GB
- part_1_0.txt1 GB
- part_9_0.txt709 MB
- part_6_0.txt789 MB
- part_8_0.txt561 MB
- part_11_1.txt9 MB
- part_13_1.txt108 MB
- part_10_1.txt58 MB
- part_3_2.txt437 MB
- part_0_2.txt770 MB
- part_5_2.txt880 MB
- part_2_2.txt345 MB
- part_12_1.txt9 MB
- part_4_2.txt568 MB
- part_1_2.txt759 MB
- part_14_1.txt1 GB
- part_7_2.txt311 MB
![Icon](/repository/xmlui/themes/UFAL/images/mime/text-plain.png)
- Název
- README.txt
- Velikost
- 1.93 KB
- Formát
- Textový soubor
- Popis
- readme
- MD5
- a286e714b793d3a196864122183a7fa1
OAGKX Keyword Generation Dataset ================================ OAGKX is a keyword extraction/generation dataset consisting of 22674436 abstracts, titles and keyword strings from scientific articles. The texts were lowercased and tokenized with Stanford CoreNLP tokenizer. No other preprocessing steps were applied in this release version. Dataset records (samples) are stored as JSON lines in each text file. The data is derived from OAG data collection (https://aminer.org/open-academic-graph) which was released under ODC-BY license. This data (OAGKX Keyword Generation Dataset) is released under CC-BY license (https://creativecommons.org/licenses/by/4.0/). Download -------- This dataset can be download from LINDAT/CLARIN repository http://hdl.handle.net/11234/1-3062 Publications ------------ If using it, please cite the following paper: Çano Erion, Bojar Ondřej. Keyphrase Generation: A Multi-Aspect Survey. FRUCT 2019, Proceedings of th . . .