OAGSX Title Generation Dataset

 
LINDAT / CLARIAH-CZ
  Authors
Çano, Erion
  Item identifier
http://hdl.handle.net/11234/1-3079
 Referenced by
https://www.aclweb.org/anthology/2020.lrec-1.823
 Date issued
2019-11-01
 Type
corpus, text
 Size
33 files, 38.8 gb, 34408509 entries, 12.4 gb
 Language(s)
English
 Description
OAGSX is a title generation dataset consisting of 34408509 abstracts and titles 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 (OAGSX Title Generation Dataset) is released under CC-BY license (https://creativecommons.org/licenses/by/4.0/). If using it, please consider citing also the following paper: Çano Erion, Bojar Ondřej. Two Huge Title and Keyword Generation Corpora of Research Articles. LREC 2020, Proceedings of the the 12th International Conference on Language Resources and Evaluation, Marseille, France, May 2020.
 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)
Title Generation Dataset Abstractive Text Summarization Scientific Papers Corpus
 Collection(s)
LINDAT / CLARIAH-CZ Data & Tools
 Other versions
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Creative Commons - Attribution 4.0 International (CC BY 4.0)
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README.txt
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readme (updated on 2020-06-02)
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OAGSX Title Generation Dataset
==============================

OAGSX is a title generation dataset consisting
of 34408509 abstracts and titles 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 (OAGSX Title 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/11234/1-3079


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

If using it, please cite the following paper:

Çano Erion, Bojar Ondřej. Two Huge Title and Keyword Generation Corpora of Research Articles. 
LREC 2020, Proceedings of the the 12th In . . .