OAGL Paper Metadata Dataset

Name: OAGL Paper Metadata Dataset
License: http://creativecommons.org/licenses/by/4.0/

Çano, Erion

OAGL Paper Metadata Dataset

LINDAT / CLARIAH-CZ

Autoři: Çano, Erion

Identifikátor: http://hdl.handle.net/11234/1-3257

Odkaz na záznam v: https://dl.acm.org/doi/10.1145/3443279.3443305

Datum vydání: 2020-06-30

Typ: corpus, text

Velikost: 5 files, 17528680 entries, 22.9 gb, 7.3 gb

Jazyky: English

Popis: OAGL is a paper metadata dataset consisting of 17528680 records which comprise various scientific publication attributes like abstracts, titles, keywords, publication years, venues, etc. The last field of each record is the page length of the corresponding publication. 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 (OAGL Paper Metadata Dataset) is released under CC-BY license (https://creativecommons.org/licenses/by/4.0/). If using it, please cite the following paper: Çano Erion, Bojar Ondřej: How Many Pages? Paper Length Prediction from the Metadata. NLPIR 2020, Proceedings of the the 4th International Conference on Natural Language Processing and Information Retrieval, Seoul, Korea, December 2020.

Nakladatel: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)

Klíčová slova: Paper Length Prediction Scientific Papers Corpus Scientific Publication Metadata

Kolekce: LINDAT / CLARIAH-CZ Data & Tools

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Soubory tohoto záznamu

Licenční kategorie:

Publicly Available

Licence: Creative Commons - Attribution 4.0 International (CC BY 4.0)

Název: oagl.zip
Velikost: 7.28 GB
Formát: application/zip
Popis: Data
MD5: e2d6dfc1a6d7c76499e4c1c27ad86a89

Stáhnout soubor Náhled

Náhled souboru

oagl
- val.txt829 kB
- test.txt1 MB
- val-test_bck.txt274 MB
- train_bck.txt22 GB
- train.txt5 MB

Název: README.txt
Velikost: 1.56 KB
Formát: Textový soubor
Popis: readme
MD5: 8442f638fbb2ab4d45c6c28a846b70b5

Stáhnout soubor Náhled

Náhled souboru

OAGL Paper Metadata Dataset
===========================

OAGL is a paper metadata dataset consisting
of 17528680 records which comprise various scientific 
publication attributes like abstracts, titles, keywords,
publication years, venues, etc. The last field of each
record is the page length of the corresponding publication. 
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 (OAGL Paper Metadata Dataset) is released under 
CC-BY license (https://creativecommons.org/licenses/by/4.0/). 


Download
--------

This dataset can be download from:
http://hdl.handle.net/11234/1-3257


Publications
------------

If using it, please cite the following paper:

Çano Erion, Bojar Ondřej: How Many Pages? Paper Length Prediction from the Metadata. 
NLPIR 2020, Proceedings of the the 4th International Confe . . .