OAGK Keyword Generation Dataset

 
LINDAT / CLARIAH-CZ
  Authors
Çano, Erion
  Item identifier
http://hdl.handle.net/11234/1-2943
 Referenced by
https://www.aclweb.org/anthology/N19-1070
 Date issued
2019-04
 Type
corpus, text
 Size
2200000 entries, 3 files, 3.24 gb
 Language(s)
English
 Description
OAGK is a keyword extraction/generation dataset consisting of 2.2 million abstracts, titles and keyword strings from cientific articles. 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. This data is derived from OAG data collection (https://aminer.org/open-academic-graph) which was released under ODC-BY licence. This data (OAGK Keyword Generation Dataset) is released under CC-BY licence (https://creativecommons.org/licenses/by/4.0/). If using it, please cite the following paper: Çano, Erion and Bojar, Ondřej, 2019, Keyphrase Generation: A Text Summarization Struggle, 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics, June 2019, Minneapolis, USA
 Publisher
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
 Acknowledgement

Ministerstvo školství, mládeže a tělovýchovy České republiky

Project code: CZ.02.2.69/0.0/0.0/16_027/0008495

Project name: OP VVV Mezinárodní mobilita výzkumných pracovníků Univerzity Karlovy

 

European Union

Project code: H2020-ICT-2018-2-825460

Project name: ELITR - European Live Translator

 Subject(s)
keyword extraction supervised keyword generation
 Collection(s)
LINDAT / CLARIAH-CZ Data & Tools
 
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README.txt
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readme
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OAGK Keyword Generation Dataset
===============================

OAGK is a keyword extraction/generation dataset consisting of 2.2 million
abstracts, titles and keyword strings from scientific articles. 
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. 

This data is derived from OAG data collection 
(https://aminer.org/open-academic-graph) which was released under 
ODC-BY licence. 

This data (OAGK Keyword Generation Dataset) is released under CC-BY licence 
(https://creativecommons.org/licenses/by/4.0/).


Download
--------

This dataset can be download from LINDAT/CLARIN repository
http://hdl.handle.net/11234/1-2943


Publications
------------

If using it, please cite the following paper:

Çano, Erion and Bojar, Ondřej, 2019, Keyphrase Generation: A Text 
Summarization Struggle, 2019 Annual Conf . . .
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OAGK.zip
Size
1.01 GB
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application/zip
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data
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92b0d028cde15184add0981349baccb4
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  • OAGK
    • oagk_train.txt2 GB
    • oagk_val.txt141 MB
    • oagk_test.txt239 MB